A Not-So-Deserted Microbial World: Microbiome Differences Between Urban, Desert, and Laboratory-reared Black Widow Spiders (Latrodectus hesperus)
Hasti Asrari1, Todd R. Sandrin1, and J. Chadwick Johnson1,*
1School of Mathematical and Natural Sciences, Arizona State University, 4701 W. Thunderbird Road, Glendale, AZ 85306. *Corresponding author.
Urban Naturalist, No. 86 (2026)
Abstract
While the eco-evolutionary dynamics of urbanization are currently receiving a great deal of attention, the effect of urban disturbance on the microbiome of urban organisms deserves more study. Including the microbiome as a component of studying natural history may illuminate the mechanisms by which some species thrive after urbanization pest implications, while other species go locally extinct. (biodiversity implications). We investigated the gut microbiome of the Western Black Widow Spider (Latrodectus hesperus) from rural Sonoran Desert, urban Phoenix, AZ, and laboratory-reared populations, the latter originating from females sourced from urban habitats. Latrodectus hesperus is an ideal model system as they are a pest species of medical importance in urban ecosystems, often forming dense infestations relative to the sparse populations found in their native Sonoran Desert. High-throughput sequencing of the 16S rRNA V4 region was used to investigate the diversity of abdominal microbiota. The relative abundance of taxonomic orders Rhizobiales, Acidobacteriales, and RBC074 (class Blastocatellia) detected in desert spiders was significantly higher than those in urban and laboratory-reared spiders. However, urban spiders had a higher relative abundance of only the taxonomic order Bacillales. Intriguingly, each spider harbored a unique abdominal microbiome with considerable individual variation, irrespective of habitat. Documenting the microbiome of urban pest species and searching for individual and population differences in dominant bacteria may represent a novel approach to identify the mechanisms that underlie shifts in urban biodiversity.
Download Full-text pdf
Site by Bennett Web & Design Co.
Urban Naturalist
Volume 13, 2026 Urban Naturalist No. 86
A Not-So-Deserted Microbial
World: Microbiome
Differences Between Urban,
Desert, and Laboratoryreared
Black Widow Spiders
(Latrodectus hesperus)
Hasti Asrari, Todd R. Sandrin, and
J. Chadwick Johnson
Urban Naturalist
The Urban Naturalist (ISSN # 2328-8965) is published by the Eagle Hill Institute, PO Box 9, 59 Eagle Hill Road, Steuben, ME 04680-
0009. Phone 207-546-2821 Ext. 4. E-mail: office@eaglehill.us. Webpage: http://www.eaglehill.us/urna. Copyright © 2026, all rights
reserved. Published on an article by article basis. Special issue proposals are welcome. The Urban Naturalist is an open access journal.
Authors: Submission guidelines are available at http://www.eaglehill.us/urna. Co-published journals: The Northeastern Naturalist,
Southeastern Naturalist, Caribbean Naturalist, and Eastern Paleontologist, each with a separate Board of Editors. The Eagle Hill
Institute is a tax exempt 501(c)(3) nonprofit corporation of the State of Maine (Federal ID # 010379899).
Board of Editors
Hal Brundage, Environmental Research and Consulting, Inc,
Lewes, DE, USA
Ran Dai, Huitong Engineering Consultant Co Lit., Kunming,
Yunnan Province, China
Leonie Fischer, University Stuttgart, Stuttgart, Germany
Chad Johnson, Arizona State University, Glendale, AZ, USA
Sonja Knapp, Helmholtz Centre for Environmental Research–
UFZ, Halle (Saale), Germany
Joerg-Henner Lotze, Eagle Hill Institute, Steuben, ME, USA •
Publisher
Tibor Magura, University of Debrecen, Debrecen, Hungary
Michael McKinney, University of Tennessee, Knoxville, TN,
USA • Editor
Zoltán Németh, Department of Evolutionary Zoology and
Human Biology, University of Debrecen, Debrecen, Hungary
Rubén Ortega-Álvarez, Investigador por México de la Secihti,
CIAD AC, Colima, México
Sarah Parsons, Western Carolina University, Cullowhee, NC,
USA
Todd W. Pierson, Kennesaw State University, Kennesaw,
Georgia, USA
Jeremy Pustilnik, University of Cambridge, Cambridge,
England
Jose Ramirez-Garofalo, Rutgers University, New Brunswick,
NJ, USA
Sage Raymond, University of Alberta, Edmonton, Alberta,
Canada
Uliana Semak, Vasyl Stefanyk Carpathian National University,
Ivano-Frankivsk, Ukraine
Sam Rexing, Eagle Hill Institute, Steuben, ME • Production
Editor
Travis Ryan, Center for Urban Ecology, Butler University,
Indianapolis, IN, USA
Michael Strohbach, Technische Universität Braunschweig,
Institute of Geoecology, Braunschweig, Germany
Advisory Board
Myla Aronson, Rutgers University, New Brunswick, NJ, USA
Mark McDonnell, Royal Botanic Gardens Victoria and
University of Melbourne, Melbourne, Australia
Charles Nilon, University of Missouri, Columbia, MO, USA
Dagmar Haase, Helmholtz Centre for Environmental Research–
UFZ, Leipzig, Germany
Sarel Cilliers, North-West University, Potchefstroom, South
Africa
Maria Ignatieva, University of Western Australia, Perth,
Western Australia, Australia
♦ The Urban Naturalist is an open-access, peerreviewed,
and edited interdisciplinary natural
history journal with a global focus on urban and
suburban areas (ISSN 2328-8965 [online]).
♦ The journal features research articles, notes,
and research summaries on terrestrial, freshwater,
and marine organisms and their habitats.
♦ It offers article-by-article online publication
for prompt distribution to a global audience.
♦ It offers authors the option of publishing large
files such as data tables, and audio and video
clips as online supplemental files.
♦ Special issues - The Urban Naturalist welcomes
proposals for special issues that are based
on conference proceedings or on a series of invitational
articles. Special issue editors can rely
on the publisher’s years of experiences in efficiently
handling most details relating to the
publication of special issues.
♦ Indexing - The Urban Naturalist is a young
journal whose indexing at this time is by way of
author entries in Google Scholar and Researchgate.
Its indexing coverage is expected to become
comparable to that of the Institute's first 3 journals
(Northeastern Naturalist, Southeastern Naturalist,
and Journal of the North Atlantic). These 3
journals are included in full-text in BioOne.org
and JSTOR.org and are indexed in Web of Science
(clarivate.com) and EBSCO.com.
♦ The journal's editor and staff are pleased to
discuss ideas for manuscripts and to assist during
all stages of manuscript preparation. The
journal has a page charge to help defray a portion
of the costs of publishing manuscripts. Instructions
for Authors are available online on the
journal’s website (http://www.eaglehill.us/urna).
♦ It is co-published with the Northeastern Naturalist,
Southeastern Naturalist, Caribbean Naturalist,
Eastern Paleontologist, Journal of the
North Atlantic, and other journals.
♦ It is available online in full-text version on the
journal's website (http://www.eaglehill.us/urna).
Arrangements for inclusion in other databases
are being pursued.
Cover Photograph: Female Western Black widow spider (Latrodectus hesperus). Photo by Marissa France.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
1
2026 Urban Naturalist 86:1–18
A Not-So-Deserted Microbial World: Microbiome Differences
Between Urban, Desert, and Laboratory-reared Black Widow
Spiders (Latrodectus hesperus)
Hasti Asrari1, Todd R. Sandrin1, and J. Chadwick Johnson1, *
Abstract - While the eco-evolutionary dynamics of urbanization are currently receiving a great deal of
attention, the effect of urban disturbance on the microbiome of urban organisms deserves more study.
Including the microbiome as a component of studying natural history may illuminate the mechanisms
by which some species thrive after urbanization pest implications, while other species go locally extinct.
(biodiversity implications). We investigated the gut microbiome of the Western Black Widow
Spider (Latrodectus hesperus) from rural Sonoran Desert, urban Phoenix, AZ, and laboratory-reared
populations, the latter originating from females sourced from urban habitats. Latrodectus hesperus
is an ideal model system as they are a pest species of medical importance in urban ecosystems, often
forming dense infestations relative to the sparse populations found in their native Sonoran Desert.
High-throughput sequencing of the 16S rRNA V4 region was used to investigate the diversity of abdominal
microbiota. The relative abundance of taxonomic orders Rhizobiales, Acidobacteriales, and
RBC074 (class Blastocatellia) detected in desert spiders was significantly higher than those in urban
and laboratory-reared spiders. However, urban spiders had a higher relative abundance of only the
taxonomic order Bacillales. Intriguingly, each spider harbored a unique abdominal microbiome with
considerable individual variation, irrespective of habitat. Documenting the microbiome of urban pest
species and searching for individual and population differences in dominant bacteria may represent a
novel approach to identify the mechanisms that underlie shifts in urban biodiversity.
Introduction
Historically, studies of urban ecology have emphasized abiotic effects such as habitat
loss, and urban heat islands (Green et al. 2011, Lehner et al. 2005, Wuebbles and Hayhoe
2002). For example, impervious surfaces like buildings and roads are fragmenting natural
habitats and presenting roadblocks for migratory pathways (Trombulak and Frissell 2000).
However, more recently urban ecological research has begun to emphasize biotic effects
(Brans et al. 2020, Cheptou and Lambrecht 2020, Diamond and Martin 2020, Ouyang et al.
2018, Pickett et al. 2016). Indeed, urbanization is an ecological disturbance that presents
organisms with novel ecological and evolutionary challenges.
Studying the mechanisms by which organisms respond to urbanization has been described
as a “grand challenge’ for the Anthropocene, as it allows us to understand how
urbanization may have a negative impact on biodiversity (Sih et al. 2010). Recent surveys
of global terrestrial vertebrate diversity reveal a 52% loss in total species diversity by 2100
under modeled future urban expansion scenarios (Li et al. 2022). Despite these projected
native biodiversity losses, urban environments can promote the population growth of a
subset of taxa adapted to urban conditions (McKinney and Lockwood, 1999). These urban
exploiters, native and sometimes non-native, are often a threat to native species diversity
(Glon et al. 2018, Molnar et al. 2008, Pintor and Sih 2009). Therefore, not only is habitat
1School of Mathematical and Natural Sciences, Arizona State University, 4701 W. Thunderbird Road,
Glendale, AZ 85306. *Corresponding author: jchadwick@asu.edu
Associate Editor: Michael McKinney, University of Tennessee.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
2
alteration through urbanization a direct threat to native species, but also an indirect threat,
as urban disturbance may favor a small set of species that can exclude other native species
(McKinney and Lockwood 1999, Olden et al. 2004). For instance, in a study carried out in
a residential development site, ant (Formicidae) abundance and diversity were examined
during a period of construction (Buczkowski and Richmond 2012). This disturbance had a
positive effect on the abundance of ant species that could tolerate the disturbance specialists),
but a negative effect on the overall ant species diversity.
If urbanization affects community composition, what are the unique urban selection
pressures these species are facing? For example, artificial light at night (ALAN)
may impose unique urban selection pressures. ALAN disrupts the circadian rhythms of
Australian Garden Orb-weaver Spiders (Hortophora biapicata), influencing their reproductive
success and population viability (Willmott et al. 2018). ALAN affected this
spider’s juvenile development, reducing the number of juvenile instars, leading to earlier
maturation and lower reproductive output. Similarly, work done on the Bridge Spider
(Larinioides sclopetarius) showed spiders exposed to ALAN experienced an increase in
mortality (Heiling and Herberstein 1999).
While anthropogenic activity may play a critical role in the decreased biodiversity,
fitness, and altered phenotypes of organisms, its effects on the microbiome within urban
organisms have only recently been addressed. (The microbiome is the collection of microorganisms
living and interacting in a particular habitat host, and its composition and
function could be an important mechanism influencing urban success.) Microorganisms
play important roles in contributing to the basic and complex properties that build up life,
with recent studies showing links between the microbiome and chemical communication
(Theis et al. 2013), protection against parasites (Koch and Schmid-Hempel 2011), and
predicting social networks (Tung et al. 2015). Microbes communicate with the central
nervous system (specifically the brain gut-brain axis), influencing motor control and
anxiety-like behavior in germ-free mice (Heijtz et al. 2011). Additionally, microbes play
an essential role in internal metabolic pathways and in synthesizing vitamins essential for
survival (Salem et al. 2014).
An organism’s microbial community is obtained and shaped both through vertical
transmission (mother-offspring) and horizontal transmission (environment-host). The association
between the animal host and its microbiome is affected by various abiotic and
biotic factors including host immune system (Enaud et al. 2020), nutrition (Merra et al.
2023), reproduction (Jašarević et al. 2015, Shao et al. 2019), communication (Archie and
Tung 2015, Rose et al. 2023), diet (Jiang et al. 2020), life stage and geographic location
(Hird et al. 2014, Gani et al. 2024), laboratory rearing (Kong et al. 2014), among others
(Bahrndorff et al. 2016). As such, studying the microbiome is a relevant component of
studying an organism’s “natural history”.
In the case of horizontal transmission, soils act as a natural supplier. Soil microorganisms
contribute to microbial diversity in terrestrial organisms; however, anthropogenic
activities may impact soil microbiomes due to land-use changes which, in turn, affects
terrestrial life forms which would acquire such soil microbes (Barnes et al. 2021). Nevertheless,
the interaction between organisms and their environment varies amongst species,
differentially shaping their microbiomes. For instance, urban habitats affect the gut microbiome
of White-crowned Sparrows (Zonotrichia leucophrys; Berlow et al. 2021). This
study found that if sparrows had more tree cover, as was the case in urban sites, they had
more diverse gut microbiomes due to horizontal transmission. Alternatively, endangered
Udzungwa Red Colobus Monkeys (Procolobus gordonorum) had higher gut microbial
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
3
diversity in undisturbed forests relative to disturbed habitats (Barelli et al. 2015). Specifically,
urban colobus monkeys were found to be missing a few microbial taxa essential
for the degradation of complex plant material, directly impacting their health and
conservation (Barelli et al. 2015). In contrast, Coyotes (Canis latrans) are successful in
urban environments due to their generalist and flexible diets and generally high levels of
behavioral plasticity (Sugden et al. 2020). While rural coyotes harbor microbiomes containing
protein-rich diet bacteria and have better overall health and fitness, urban coyotes
have higher microbial diversity from anthropogenic food consumption, promoting their
dependence on urban resources for survival (Sugden et al. 2020). In sum, the extent to
which the internal microbiome responds to urbanization is species-specific, depending
on host-environment interaction. Furthermore, microbial networks are sensitive to both
natural and anthropogenic disturbances, resulting in responses that depend on variables
like community composition, species richness, and species evenness.
In spiders, bacterial symbionts play an important role by helping with digestion and
providing nutrients that may be limited in the diet (Zhang et al. 2018). Furthermore, such
symbionts can enhance pathogen resistance and mediate the thermal tolerance of their
hosts, which can be vital to their survival in hotter habitats (Feldhaar 2011). As a result,
microbes can be beneficial partners to their host in maintaining metabolic homeostasis outside
of other cellular processes. It is vital to understand the way an organism’s microbial
community is obtained and shaped because the diversity of a species’ internal microbiome
in a given location is a potential indicator for the overall health of the larger community.
Higher internal microbial diversity may be an indicator of good health for the host (Fijan
2014, Hills et al. 2019, Panthee et al. 2022). By having a diversity of internal microbes,
the host would therefore have a healthy collection of internal helpers for proper digestion,
processing nutrients, and protecting against disease (Huttenhower et al. 2012). However, it
is important to note that microbial diversity can have positive or negative consequences for
organism health depending on microbe function (Golombos et al. 2018, Shao et al. 2017).
In Phoenix, Arizona, USA, there are dramatic differences between the city and the surrounding
Sonoran Desert. Compared to urban Phoenix, the desert is less affected by human
activities and inhabited by a high diversity of native plants and animals (Hope et al. 2005,
Hostetler and McIntyre 2001, Walker et al. 2009). Urbanization in Phoenix involves the use
of supplemental water and heightened primary productivity, resulting in the decline of native
biodiversity and a dramatic population growth for taxa well-adapted to anthropogenic
disturbance (Shochat et al. 2006). For example, some urban spider taxa are more densely
populated in the city compared to the undisturbed Sonoran desert e.g., Lycosidae (wolf
spiders; Shochat et al. 2004) and Theridiidae (cobweb spiders; Johnson et al. 2012).
This is likely due to a multitude of factors e.g., urban water and prey abundance and a
higher abundance of urban web-building substrates like concrete block walls (Johnson et al.
2012). Specifically, Latrodectus hesperus thrives in urban ecosystems, forming dense urban
infestations in Phoenix, AZ compared to the surrounding Sonoran Desert (Johnson et al.
2012, Trubl et al. 2012). The black widow’s role as a medically important species leads to an
oversized fear of their increased urban prevalence. Latrodectus venom contains neurotoxic
latrotoxin proteins, making black widow spider venom hazardous to humans. As a result,
widespread pesticide applications are used to combat their infestations in urban Phoenix
(Johnson, pers. obs.), further differentiating the urban ecosystem.
Investigations into the microbiome of spiders are relatively scarce. In Latrodectus hesperus
and other Latrodectus species, Gilliamella, Wolbachia, and Spiroplasma are specific
bacterial symbionts shown to dominate the widow microbiome (Dunaj et al. 2020). These
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
4
symbionts are known to have an impact on arthropod fitness and reproductive behavior.
While many studies on L. hesperus focus on their venom for medicinal applications (Chen
et al. 2021) and silk for industrial usage (Parent et al. 2018), Dunaj et al. (2020) expand on
this arthropod genera, by examining the internal microbiome and the connection between
the microbial communities and their host species’ evolutionary relationships. In particular,
they found that microbial communities in multiple Latrodectus species are shaped by
ecological and evolutionary factors, with similar microbes found amongst common ancestors.
This indicates the microbes found in widow spiders have changed over time due to
both their surroundings and their genetic lineage, emphasizing the combined impact of
black widow ecology and evolution on these microbial populations (Dunaj et al. 2020).
Notably, their work utilized only laboratory-reared spiders housed in identical conditions
and fed a single-species cricket diet.
In contrast, a recent study examining native and invasive populations of the Brown
Widow Spider (Latrodectus geometricus) found no significant differences in microbiome
composition across field sites, with communities largely dominated by Rhabdochlamydia,
a putatively maternally inherited endosymbiont (Mowery et al. 2024). This pattern differs
from the more diverse and variable microbial communities reported in black widows
(Dunaj et al. 2020), suggesting that microbiome structure within the genus Latrodectus
may vary substantially across species and ecological contexts. Here, we explore the microbiome
of L. hesperus collected from Sonoran Desert and urban Phoenix habitats and
compare this with the microbiome of urban spiders reared from egg to adulthood in the
laboratory. Examining spiders collected from their natural habitats allows us to directly
observe how urbanization and environmental factors shape internal microbial communities.
It is crucial to understand this, as the diversity of their internal microbiome in different
habitats can serve as a key indicator of the overall health and stability of populations
and the surrounding ecological community.
In this study differences between the abdominal bacterial community of L. hesperus
from urban Phoenix, rural Sonoran Desert populations in Arizona, and laboratory-reared
populations were investigated. We asked the following questions: 1) Are there habitat differences
in the diversity of the L. hesperus microbiome urban versus desert versus laboratory?
2) Are specific microbes more dominant than others in these different habitats? We
predicted, compared to desert spiders, that urban (and laboratory-reared) widows would
have a lower abdominal microbial diversity due to limited prey diversity in urban and
controlled laboratory environments. Moreover, we expected desert spiders to host bacterial
taxonomic groups primarily associated with local soils, because of the environmental
characteristics specific to their web-building location.
Methods
Sample collection and preparation
Western Black Widow Spiders (Latrodectus hesperus) were collected across metropolitan
Phoenix, AZ in early May 2021. The desert spiders utilized for this study were
sourced from 4 populations in the Sonoran Desert, situated to the north of all urban
infrastructure, and 4 urban populations within Glendale, a city in the Phoenix metropolitan
area near Arizona State University, West Valley Campus. One individual spider was
sampled from each site (n = 10 total; n = 4 urban, n = 4 desert, n = 2 laboratory). Figure
1 showcases a map of the collection sites. Notably, each population had to be a minimum
of 3.5 km apart from one another. We additionally selected 2 second filial generation (F1)
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
5
Figure 1. Four desert Table Mesa East (TME), Table Mesa East-Central (TME-C), New River Road
(NRR), and Moores Gulch (MGU), and 4 urban Olive Street (OLI), Grace Lutheran Church (GLC),
Marshall Ranch Elementary (MR), and Sunburst Farms (SBF) widow spider collection sites. One spider
from each site is represented in the study, in addition to 2 urban-collected MR F1 sub-adult female
spiders from the Johnson black widow laboratory at Arizona State University, West Valley Campus.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
6
sub-adult female spiders born from different urban females, originally collected from the
Marshall Ranch Elementary (MR) site, and laboratory reared to provide insight into how
a controlled diet and habitat influence the abdominal microbial framework of those raised
in the laboratory (Johnson et al. 2019).
Immediately after field collection spiders were individually placed in pre-weighed sterilized
collection tubes and weighed on a portable microbalance. Whole spiders were stored
at −80 °C within 2 hours after field collection. One to three days later, depending on the
collection date, 1× saline-sodium citrate (SSC) dissection buffer was added to each vial for
both spider preservation and their associated microbial communities. Samples were stored
in −80 °C after the addition of the SSC dissection buf fer for later preparation.
All samples went through an aseptic surface wash protocol to remove microbes from
their body surface, which involved room temperature thawing, submersion in 1× SSC
buffer, light and brief vortexing, and transfer into a new SSC buffer for repeated surface
washing a total of three times. After three washes whole spiders were weighed on a microbalance
to determine the final weight of the spider after −80 °C storage post-collection and
surface washing. Urban and desert spiders did not differ significantly in this weight. All
surface-washed samples were shipped overnight in dry ice to the University of Arizona’s
Microbiome Core in Tucson, AZ for downstream processing, DNA extraction, PCR, and
16S rRNA library construction.
DNA extraction preparation and processing
Spider abdomens were processed for DNA extraction using Qiagen’s QIAamp PowerFecal
Pro DNA Kit. To homogenize tissues, frozen spiders were briefly dipped in liquid
nitrogen and mechanically disrupted on aluminum foil before transfer into bead tubes
from the kit. For larger specimens, abdomens were divided into 2 parts and processed
separately to avoid clogging the DNA columns. Throughout the procedure liquid nitrogen
was used to keep samples frozen and minimize DNA degradation. Two extraction controls
containing only lysis buffer were included. No individual internal structures (e.g.,
gut, silk glands) were dissected; instead, the entire abdominal contents were processed to
capture the whole abdominal microbiome.
PCR and 16S rRNA library construction
Polymerase chain reaction (PCR) was performed to target the V4 bacterial 16S rRNA
gene region with 515F/806R primers. PCR settings were based on MyFi recommendations
with times increased to improve yield: pre-incubation (1 cycle) at 95 °C for 120 sec; three
step incubation (35 cycles) at 95 °C for 30 sec, 50 °C for 30 sec, and 72 °C for 30 sec;
pre-incubation (1 cycle) at 72 °C for 60 sec; and cooling (1 cycle) at 37 °C for 30 sec. Invitrogen’s
Quant-iT PicoGreen dsDNA Assay Kit was used to quantify DNA amplification
following the manufacturer’s protocol. Samples were normalized based on the calculations
from PicoGreen. 16S rRNA gene sequencing on an Illumina MiSeq instrument was done
alongside extraction and PCR negative controls to identify, classify, and quantify the microbes
within the spider samples. Those spiders with split abdomens (left and right sides)
were sequenced separately and combined at the individual level for downstream analyses.
No samples from different individuals were pooled. For field-collected habitats, 1 spider
was sequenced per site, resulting in 4 spiders sequenced per habitat (urban and desert), and
2 laboratory-reared spiders were sequenced, for a total of 10 spiders.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
7
Sequence processing
Raw sequence data were processed in QIIME2 amplicon version 2023.9 pipeline for
microbial community analyses (Bolyen et al. 2019). QIIME2 was used to add barcodes to
the read files and demultiplex the joined paired-end reads. The Divisive Amplicon Denoising
Algorithm (DADA2) package was used for quality control to remove sequence errors,
trim primers, and assign the sequences to operational taxonomic units (OTU; Callahan et
al. 2016). Spiders with left and right abdomens sequenced separately had their OTU data
and sequences merged appropriately so they could be analyzed alongside the spiders whose
abdomens were kept whole. These OTUs were aligned to the GTDB v207 database and assigned
taxonomy (Parks et al. 2022). Taxa bar plots were generated and sequences that were
classified as chloroplasts and mitochondria were filtered out.
Diversity and statistical analysis
The Shannon Diversity metric was used to analyze alpha diversity which regards OTU
richness and evenness (Shannon 1948). The Kruskal-Wallis test was utilized for pairwise
and group comparison between sourced habitats (Kruskal and Wallis 1952). The Bray-
Curtis dissimilarity beta diversity metric was used to measure individual variation of microbial
community structure between spider samples (Bray and Curtis 1957). A dissimilarity
distance metric for Bray-Curtis was constructed in QIIME2 and visualized with a principal
coordinate analysis (PCoA) plot. Furthermore, linear discriminant analysis effect size
(LEfSe; Segata et al. 2011) was used to compare bacterial orders and family differentially
abundant in urban and desert widow microbiomes. PCoA and LEfSe, along with other statistical
analyses and figure generation, were performed in RStudio (Posit team 2023). Packages
utilized in RStudio for analysis included qiime2R (Bisanz 2018), tidyverse (Wickham
et al. 2019), gplots (Warnes et al. 2022), vegan (Oksanen et al. 2022), dplyr (Wickham et
al. 2023), DESeq2 (Love et al. 2014), kableExtra (Zhu 2024), and ANCOMBC (Lin and
Peddada 2020, Lin et al. 2022). Lastly, phyla abundance was calculated as percent relative
abundance by normalizing each taxon’s abundance to the total abdominal microbiota of
each spider and averaging across individuals within each habitat.
Results
Sequencing depth
After DADA2 processing and the removal of chloroplast and mitochondrial sequences,
there were 7,263,815 16S rRNA sequences retained (mean = 726,361.5, SD = 502,906.13;
see Supplemental File 1, available online at https://eaglehill.us/urnaonline/suppl-files/
urna-250-Johnson-s1.pdf for sequence and OTU counts per sample). There were also 4739
unique prokaryotic (archaeal and bacterial) OTUs obtained.
Composition of bacterial taxa
We found high variation in microbial relative abundance among 10 spiders across habitats,
with some microorganisms being more abundant than others, but similarly present
amongst all samples. The dominant bacterial phyla across all samples were Proteobacteria
(23% desert, 18% urban, and 14% laboratory relative abundance) and Actinobacteria
(11% desert, 20% urban, and 10% laboratory relative abundance; see Supplemental File
2, available online at https://eaglehill.us/urnaonline/suppl-files/urna-250-Johnson-s2.pdf).
Bacteria identified as phylum Firmicutes, class Bacilli, with unknown lower levels of taxonomic
classification, were especially dominant in 1 spider from each of the three habitat
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
8
sources (Fig. 2). Despite their high abundance in a few samples, Firmicutes, as well as
Proteobacteria and Actinobacteria, were not present in all spiders, preventing them from
being considered a uniformly dominant group.
These prominent bacterial groups are included with the 10 taxa with the highest relative
abundance across all spider samples, and are represented by the colored bars in Fig. 2. Across
all individuals, a total of 339 taxa were identified to at least the family level. All remaining
taxa were consolidated into the “Remainder” category for visualization, representing a diverse
assemblage of lower-abundance taxa. The relative size of this category varied among
spiders, reflecting substantial inter-individual variation in low-abundance community members
and underscoring the extensive microbial diversity harbored by each individual.
To identify bacterial taxa that differed significantly in relative abundance between
source habitats, linear discriminant analysis (LDA) was utilized following Kruskal-Wallis
tests with FDR correction. There were 9 bacterial orders that were differentially abundant
when comparing desert versus urban spiders, each with an FDR-adjusted q-value of 0.047
(Kruskal-Wallis test). Desert spiders had significantly higher abundances of Rhizobiales,
Acidobacteriales, and an unidentified order RBC074 (class Blastocatellia), whereas urban
spiders showed significantly higher relative abundances of Bacillales (see Supplemental
File 3, available online at https://eaglehill.us/urnaonline/suppl-files/urna-250-Johnson-s3.
pdf). LDA scores were used to estimate the effect size of these differentially abundant taxa,
indicating the strength of association between specific bacterial orders and source habitat.
Several bacterial orders showed strong positive associations with desert spider abdominal
microbiomes, suggesting habitat-specific enrichment patterns. This indicates that although
overall community composition was variable among individuals, certain bacterial groups
were consistently enriched in desert relative to urban spider populations, illuminating the
unique microbial landscape characterizing the widow communities in arid environments.
Figure 2. Bar plot of the relative abundance of specific bacterial taxa in 4 desert, 4 urban, and 2
laboratory-reared black widow spiders, filtered for those minimally identified at the family level. The
bars are colored according to those who have the top 10 highest relative abundance across the samples
and the remaining taxa are bundled together as a single gray color in the “Remainder” category.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
9
Diversity metrics
Figure 3 and Supplementary File 4 (see Supplemental File 4, available online at https://
eaglehill.us/urnaonline/suppl-files/urna-250-Johnson-s4.pdf) show the results of our analysis
using QIIME2 to assess alpha microbiome diversity within black widow spiders residing
in different habitats (desert, urban, and laboratory). The Shannon group significance boxplots
show a non-significant trend for desert spiders to have a higher mean microbial diversity
(Figure 3; Kruskal-Wallis Pdesert-urban = 0.386, Pdesert-laboratory = 0.355, Purban-laboratory = 0.643,
and Poverall = 0.527). While the comparison of Shannon alpha diversity across habitats does
not yield statistical significance, notable individual variation is evident. Indeed, the Shannon
diversity index rarefaction curve shows alpha diversity differences between all spider
samples, but an absence of habitat differences (Supp. File 4). Furthermore, these patterns
can be visualized in the Bray-Curtis dissimilarity principal coordinate analysis (PCoA; Fig.
4). The Bray-Curtis PCoA plot demonstrates such high levels of individual variation that
spiders from different habitats have more similar microbiome diversity than those from the
same habitat (Fig. 4). For instance, it is worth noting the three segregated points on the far
left of the PCoA are from the same three black widow spider samples, from different source
habitats, dominated by the bacterial phylum Firmicutes, class Bacilli (Fig. 4).
Discussion
Dominant and differentially abundant bacterial taxa
Dominant bacterial phyla across all samples were Proteobacteria and Actinobacteria;
both known to play an important role in nutrient and energy metabolism in spiders (Hu et al.
2019). As these phyla were dominant across widow samples regardless of habitat, they may
harbor essential microbial groups comprising the widow “core microbiome” (Risely 2020).
The phylum Firmicutes, specifically class Bacilli, showed individual variation in abun-
Figure 3. Alpha diversity analysis using the Shannon metric, comparing source habitats (desert n = 4,
urban n = 4, and laboratory n = 2). Each depicted as a box and whisker plot colored according to habitat
with individual spider samples plotted as solid black dots. P-values for Kruskal-Wallis pairwise
comparisons between habitats are bolded in red.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
10
dance among spiders even from the same habitat (Fig. 2). Firmicutes is known to play a similar
metabolic role in spiders similar to roles Proteobacteria and Actinobacteria play (Hu et al.
2019). Prior work has further revealed different features about this taxonomic group, such
as its presence being linked to recent high-fat intake (Hildebrandt et al. 2009) or increased
energy demand, which Firmicutes might support (Gao et al. 2022). However, it is unclear
why this group is dominant in only some spiders and nearly absent in others. The assumption
of a uniform microbiome observed in laboratory-reared organisms (Tinker and Ottensen
2021, Cheng et al. 2015, Kong et al. 2014) is especially challenged by our dataset, given that
2 black widow spiders reared from egg to adulthood under identical laboratory conditions
(e.g., diet, photoperiod, temperature) varied dramatically in their composition of Firmicutes.
Variation in time since last feeding may also contribute to the observed inter-individual
differences in bacterial community composition, particularly for taxa such as Firmicutes
that have been linked to dietary intake and metabolic state. For laboratory-reared spiders,
feeding schedules were standardized, and individuals were sampled at comparable times
relative to their most recent feeding event. The differences observed between laboratoryreared
spiders therefore suggest that factors other than short-term feeding history (such as
vertical microbial transmission from maternal lineages or stochastic acquisition from preyassociated
microbiota) may play a role in shaping individual microbiomes. In contrast, time
since last feeding was not controlled for wild-caught spiders, as individuals were sampled
directly from natural environments with no prior monitoring. Desert spiders were collected
on the same night, while urban spiders were collected on a different night, but feeding history
in the field likely varied among individuals due to differences in prey availability, web
Figure 4. Principal coordinate analysis PCoA beta diversity plot of all spider samples, using the Bray-
Curtis dissimilarity metric. Points on the plot are colored according to source habitat desert, urban, and
laboratory, labeled with the associated spider sample, and sized according to their Shannon index. In this
analysis, the closer data points are to each other, the more similar they are in microbiome composition.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
11
success, and local ecological conditions. Such variation is difficult to control in natural
populations and may contribute to the high individual-level microbiome diversity observed
within habitats. Future studies incorporating controlled feeding experiments or finer-scale
sampling within sites would help disentangle the relative roles of diet, feeding history, and
environmental exposure in shaping spider microbiomes.
Besides dominant taxa, some microbes were more abundant than others depending on
the source/habitat of the spider. Desert spiders had higher abundances of taxonomic orders
Rhizobiales, Acidobacteriales, and RBC074 (class Blastocatellia) compared to urban and
laboratory-reared widows. Both Acidobacteriales and RBC074 are a part of the Acidobacteria
phylum which is ubiquitous in many types of soils and sediments (Janssen 2006, Lee et al.
2008, Foesel et al. 2014, Ivanova et al. 2020, Ji et al. 2016). A study of Arizona soil microbial
communities found Acidobacteria to be the most abundant group (Dunbar et al. 2002). The
order Rhizobiales is a part of the phylum Proteobacteria, which is also known to have members
that dominate soil microbial communities, including Arizona soils (Dunbar et al. 2002).
Desert widows anchor their webs to the soil to intercept prey, which may explain why their
microbiome contains soil microbes like these groups (Banerjee and van der Heijden 2023).
In contrast, urban widows collected for this study were found extending their web from
residential walls or bushes to cement sidewalks. A similar shift in web-building behavior
has been observed in Urban Golden Silk Spiders (Nephilia clavipes), which build webs more
elevated from the ground and exploit man-made structures for predation advantages (Ripp et
al. 2018). Therefore, habitats where widows build webs may play a vital role in the kinds of
microbes that colonize their abdominal microbiome. Considering how an organism’s microbial
community is acquired and shaped, soil microorganisms are significant contributors to
terrestrial microbiomes (Banerjee and van der Heijden 2023). However, the loss of natural
soils in urban habitats through concrete sidewalks and other infrastructure hinders acquisition
of these microbial groups by city-dwelling organisms (Barnes et al. 2021). Understanding
these dynamics can reveal how different habitats support or limit certain microorganisms
and how these microbes, in turn, influence the lar ger ecosystem.
As mentioned earlier, we found a decreased prevalence of Acidobacterales and Rhizobiales
in the abdominal microbiome of urban widows compared to desert spiders. Simonin et al.
(2019) showed Acidobacterales and Rhizobiales to substantially decline in streams along an
increasing urbanization gradient. The authors suggest the observed sensitivity of these taxonomic
groups to urbanization stems from heightened nutrient input into streams. This phenomenon
is particularly pertinent given the oligotrophic nature of microorganisms belonging
to these taxonomic groups, as they exhibit a preference for environments characterized by
low nutrient levels conducive to their growth. The features of urbanization, like heightened
nutrient input, may also be exerting an influence on black widows and their internal microbial
communities. The significantly lower abundances of these indicator taxa in urban black
widow spiders serve as preliminary evidence of the direct impact of urbanization on natural
microbial groups and how this, in turn, influences the microbiom es of urban spiders.
Habitat differences in microbiome diversity
While we observed differences in the relative abundance of microbial groups in the
widow abdominal microbiome, habitat did not appear to affect diversity. This finding is
surprising considering previous studies that have documented significant habitat-related
microbiome variations based on dietary changes (see Introduction). In particular, desert
black widows have access to approximately 31 different ground-based arthropod prey
families, while urban widows prey on only 18 arthropod families (Bang and Faeth 2011).
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
12
The microbial diversity differences in our study suggest that despite these dietary differences,
other factors must be obscuring habitat-level differences in microbiome diversity.
Additionally, while black widow spiders thrive in urban landscapes, warming from the
urban heat island (UHI) may increase variability in their microbiomes and obscure differences
between habitats. Because UHI effects are spatially patchy, urban spider webs experience
site- and web-specific temperature fluctuations during the day that could temper
consistent urban-desert contrasts (Clark and Johnson 2024). Similar temperature-driven
effects on microbiome diversity have been observed in the Common, or Viviparous lizard
(Zootoca vivipara) and tadpoles of the Northern leopard frog (Lithobates pipiens), where
warmer climates reduced bacterial diversity and increased variability in host microbial
communities (Bestion et al. 2017, Kohl and Yahn 2016). Like lizards and tadpoles, black
widows are ectothermic and, therefore, likely experience comparable body temperature
fluctuations; suggesting the UHI, rather than urbanization alone, may shape their microbiomes.
Future work could simulate the UHI effect on laboratory-reared spiders to see how
it affects their internal microbiome diversity; testing to see if warmer conditions increase
microbial community variability or reduce diversity as seen with lizards (Bestion et al.
2017) and salamanders (Fontaine et al. 2018).
The large proportion of bacterial groups falling within the “Remainder” category
further highlights the substantial diversity of low-abundance taxa identified within individual
spiders. Although the 10 most abundant taxa were broadly shared across habitats,
many lower-abundance taxa varied considerably among individuals, contributing to differences
in overall diversity metrics. For example, individuals with smaller “Remainder”
fractions tended to exhibit lower Shannon diversity, suggesting that variation in these
low-abundance taxa meaningfully contributes to overall community diversity. Because
16S rRNA amplicon sequencing targets a relatively conserved gene region, strain-level
or functional differences among bacteria may not be fully resolved. Future studies using
deeper sequencing approaches, such as shotgun metagenomics, would enable improved
taxonomic and functional resolution and offer greater insight into the ecological roles of
both dominant and low-abundance taxa.
Individual variation in microbiome composition and diversity
The variation in microbial diversity among spiders from the same habitat was unexpected
at the start of this study. In wild-caught widows, we observed differences in the
abundance of certain microbial taxa. However, these differences were not consistent enough
within spiders from the same habitat to yield the habitat-level differences we expected.
Individual widows in the wild have varying chances of successfully capturing different
prey types, depending on relatively random prey encounters in their webs. The 4 sampled
sites within each habitat also have unique characteristics, such as available web-building
sites, types of prey, widow spider populations, and levels of disturbance (e.g., pesticide
applications; Trubl et al. 2012). This spatial patchiness within each habitat, similar to that
suggested for levels of the UHI (see text above), may explain the absence of habitat differences
in microbiome diversity found in this study. Although previous studies have shown
that diet and temperature differences across habitats can influence microbiome composition
and diversity, individual black widows appear to experience unique variations within
habitats, based on specific environmental factors. Lastly, even 2 laboratory-reared spiders,
despite being reared under identical conditions from egg to adulthood, showed significant
microbiome variation. We hesitate to speculate on this finding, however, as the result stems
from such a small sample of laboratory-reared spiders.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
13
Indeed, a primary limitation of this study is the sample size (4 desert, 4 urban, and 2
laboratory-reared spiders), yet this limitation is informative in itself. If strong habitat-level
differences in microbiome composition were present, we would expect at least preliminary
evidence of such patterns to emerge even with the limited sampling. Instead, the pronounced
variability observed among individuals within the same habitat, including among
laboratory-reared spiders maintained under identical conditions, suggests individual-level
factors may outweigh broader habitat effects in shaping widow spider microbiomes. In this
context, the absence of clear habitat-level differentiation may not solely reflect insufficient
sampling, but rather may highlight microbiome heterogeneity among individual spiders.
Future studies incorporating larger sample sizes will be critical for disentangling this
individual-level variation from finer-scale spatial or ecological effects. In particular, sampling
multiple spiders from the same site would allow evaluation of whether microbiome
similarity emerges at the site level, potentially revealing micro-environmental influences
not captured by broader habitat classifications. Additional metadata, such as inter-web
distance, web height, prey availability, and localized disturbance regimes, could further
clarify the drivers of microbiome variation. Together, such approaches would enable a
more precise understanding of how environmental context and individual ecology interact
to shape microbial communities in widow spiders.
Conclusions
We report here variation in the microbial composition of a common urban pest. While
we found habitat differences in the relative abundance of different microbial taxa, we found
little evidence for the simplistic hypothesis that microbiome diversity is based on habitat
differences. Our investigation into black widows reveals unique individual variations
possibly attributable to site-specific conditions, diet, and external factors, including temperature
and prey availability. These results suggest complex interactions between habitat,
microbial diversity, and host species exist, highlighting the need for further exploration into
how environmental variables specifically shape the widow microbiome. By considering
the microbiome’s potential as a critical trait for understanding urban adaptation (its role in
this species’ natural history), our study advocates for its integration into future ecological
and evolutionary research. Ultimately, our work provides a foundation for understanding
potential impacts of urbanization on microbiomes and the ecological success of black widows,
offering broader insights into the role of microbial community dynamics in shaping
environmental and population-level processes.
Acknowledgements
This material is based upon work supported by the National Science Foundation under grant number
DEB-1832016, Central Arizona-Phoenix Long-Term Ecological Research Program (CAP LTER).
Additional funding for this project was provided by Barrett, The Honors College and the New College
Undergraduate Inquiry and Research Experiences (NCUIRE) program at Arizona State University. We
would like to acknowledge Daniel Laubitz, Anna Maureen Williams, and Gabriele Schiro from the
Microbiome Core at University of Arizona Steele Children’s Research Center for black widow sample
extraction preparation, DNA extraction, and library construction. We would also like to thank Ryan
Clark for assisting in desert widow collection and the members of the Johnson lab at Arizona State
University - West Valley Campus for their support and input throughout this work. We are especially
grateful to Keaton Coker for his invaluable assistance with lab work, insightful feedback on data analysis,
and thoughtful comments on the manuscript.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
14
Statement of Data Availability
Raw sequences and corresponding metadata will be archived within the Central Arizona-Phoenix
Long-Term Ecological Research Program (CAP LTER) database. Additional data and scripts for analysis
will be made available in a public GitHub repository: https://github.com/Hasrari/WMP-Manuscript.
Literature Cited
Archie, E.A., and J. Tung. 2015. Social behavior and the microbiome. Current Opinion in Behavioral
Sciences 6:28–34.
Bahrndorff, S., T. Alemu, T. Alemneh, and J. Lund Nielsen. 2016. The microbiome of animals: implications
for conservation biology. International Journal of Genomics.
Banerjee, S., and M.G.A. van der Heijden. 2023. Soil microbiomes and one health. Nature Reviews
Microbiology 21:6–20.
Bang, C., and S.H. Faeth. 2011. Variation in arthropod communities in response to urbanization: Seven
years of arthropod monitoring in a desert city. Landscape and Urban Planning 1033: 383–399.
Barelli, C., D. Albanese, C. Donati, M. Pindo, C. Dallago, F. Rovero, D. Cavalieri, K. Michael Tuohy,
K., H. Christine Hauffe, and C. De Filippo. 2015. Habitat fragmentation is associated to gut microbiota
diversity of an endangered primate: Implications for c onservation. Scientific Reports 5.
Barnes, E.M., S. Kutos, N. Naghshineh, M. Mesko, Q. You, and J.D. Lewis. 2021. Assembly of the
amphibian microbiome is influenced by the effects of land‐use change on environmental reservoirs.
Environmental Microbiology 23:4595–4611.
Berlow, M., J.N. Phillips, and E.P. Derryberry. 2021. Effects of urbanization and landscape on gut
microbiomes in White-crowned Sparrows. Microbial Ecology 811:253–266.
Bestion, E., S. Jacob, L. Zinger, L. Di Gesu, M. Richard, J. White, and J. Cote. 2017. Climate warming
reduces gut microbiota diversity in a vertebrate ectotherm. Nature Ecology and Evolution 1.
Bisanz, J.E. 2018. quiime2R: importing QMIIME2 artifacts and associated data into R sessions. Available
online at https://github.com/jbisanz/qiime2R. Accessed 28 May 2026.
Bolyen, E., J.R. Rideout, M.R. Dillon, N.A. Bokulich, C.C. Abnet, G.A. Al-Ghalith, H. Alexander,
E.J. Alm, M. Arumugam, F. Asnicar, Y. Bai, J.E. Bisanz, K. Bittinger, A. Brejnrod, C.J., Brislawn,
C.T. Brown, B.J. Callahan, A.M. Caraballo-Rodríguez, J. Chase, … J.G. Caporaso. 2019. Reproducible,
interactive, scalable and extensible microbiome data science using QIIME 2. Nature
Biotechnology 37:852–857.
Brans, K.I., L. Govaert, and L.D. Meester. 2020. Evolutionary dynamics of metacommunities in
urbanized landscapes. Pp. 175–196, In M. Szulkin, J. Munshi-South, and A. Charmantier (Eds.)
Urban Evolutionary Biology. Oxford University Press, Oxford, UK. 318 pp.
Bray, J.R., and J.T. Curtis. 1957. An ordination of the upland forest communities of Southern Wisconsin.
Ecological Monographs 27:325–349.
Buczkowski, G., and D.S. Richmond. 2012. The effect of urbanization on ant abundance and diversity:
A temporal examination of factors affecting biodiversity. PloS One 7.
Callahan, B.J., P.J. McMurdie, M.J. Rosen, A.W. Han, A.J.A. Johnson, and S.P. Holmes. 2016.
DADA2: High-resolution sample inference from Illumina amplicon data. Nature Methods
13:581–583.
Chen, M., D. Blum, L. Engelhard, S. Raunser, R. Wagner, and C. Gatsogiannis. 2021. Molecular architecture
of black widow spider neurotoxins. Nature Communications 12.
Cheng, Y., S. Fox, D. Pemberton, C. Hogg, A.T. Papenfuss, and K. Belov. 2015. The Tasmanian Devil
microbiome-implications for conservation and management. Microbiome 3.
Cheptou, P.O., and S.C. Lambrecht. 2020. Sidewalk plants as a model for studying adaptation to urban
environments. In M. Szulkin, J. Munshi-South, and A. Charmantier (Eds.) Urban Evolutionary
Biology. Oxford Academic, Oxford, UK. 318 pp.
Clark, R.C., and J.C. Johnson. 2024. The functional microclimate of an urban arthropod pest: Urban
heat island temperatures in webs of the western black widow spider. Journal of Thermal Biology
120.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
15
Degli Esposti, M., and E. Martinez Romero. 2017. The functional microbiome of arthropods. PLoS
ONE 12 .
Diamond, S.E., and R.A. Martin. 2020. Evolutionary Consequences of the Urban Heat Island. Pp.
91-110, In M. Szulkin, J. Munshi-South, and A. Charmantier (Eds.) Urban Evolutionary Biology.
Oxford Academic, Oxford, UK. 318 pp.
Dunaj, S.J., Bettencourt, B.R., J.R. Garb, and R.M. Brucker. 2020. Spider phylosymbiosis: Divergence
of widow spider species and their tissues’ microbiomes. BMC Evolutionary Biology 20.
Dunbar, J., S.M. Barns, L.O.Ticknor, and C.R. Kuske. 2002. Empirical and theoretical bacterial diversity
in four Arizona soils. Applied Environmental Microbiology 68:3035–3045.
Enaud, R., R. Prevel, E. Ciarlo, F. Beaufils, G. Wieers, B. Guery, and L. Delhaes. 2020. The gut-lung
axis in health and respiratory diseases: A place for inter-organ and inter-kingdom crosstalks. Frontiers
in Cellular and Infection Microbiology 10.
Feldhaar, H. 2011. Bacterial symbionts as mediators of ecologically important traits of insect hosts.
Ecological Entomology 365:533–543.
Fijan, S. 2014. Microorganisms with claimed probiotic properties: An overview of recent literature.
International Journal of Environmental Research and Public Health 11:4745–4767.
Foesel, B.U., V. Nägele, A. Naether, P.K. Wüst, J. Weinert, and M. Bonkowski. 2014. Determinants of
Acidobacteria activity inferred from the relative abundances of 16S rRNA transcripts in German
grassland and forest soils. Environmental Microbiology 16:658–675.
Fontaine, S.S., A.J. Novarro, and K.D. Kohl. 2018. Environmental temperature alters the digestive
performance and gut microbiota of a terrestrial amphibian. The Journal of Experimental Biology
221.
Gani, M., A.R. Mohd-Ridwan, F.T. Sitam, Z. Kamarudin, S.S. Selamat, N. Mohd, K.V. Karuppannan,
and B.M. Md-Zain. 2024. Habitat shapes the gut microbiome diversity of Malayan Tigers (Panthera
tigris jacksoni) as revealed through metabarcoding 16S rRNA profiling. World Journal of
Microbiology and Biotechnology 40.
Gao, Y., P. Wu, S. Cui, A. Ali, and G. Zheng. 2022. Divergence in gut bacterial community between
females and males in the wolf spider Pardosa astrigera. Ecology and Evolution 12.
Gavett, A.P., and Wakeley, J.S. 1986. Diets of House Sparrows in Urban and Rural Habitats. The
Wilson Bulletin 98:137–144.
Glon, M.G., L.S. Reisinger, and L.M. Pintor. 2018. Biogeographic differences between native and
non-native populations of crayfish alter species coexistence and trophic interactions in mesocosms.
Biological Invasions 20:3475–3490.
Golombos, D.M., A. Ayangbesan, P. O’Malley, P. Lewicki, L. Barlow, C.E. Barbieri, C. Chan, C.
DuLong, G. Abu-Ali, C. Huttenhower, and D.S. Scherr. 2018. The role of gut microbiome in the
pathogenesis of prostate cancer: A prospective, pilot study. Urology, 111:122–128.
Green, T.R., M. Taniguchi, H. Kooi, J.J. Gurdak, D.M. Allen, K.M. Hiscock, H. Treidel, and A. Aureli.
2011. Beneath the surface of global change: Impacts of climate change on groundwater. Journal
of Hydrology 405:532–560.
Heijtz, R.D., S. Wang, F. Anuar, Y. Qian, B. Björkholm, A. Samuelsson, M.L. Hibberd, H. Forssberg,
and S. Pettersson. 2011. Normal gut microbiota modulates brain development and behavior. Proceedings
of the National Academy of Sciences of the United States of America, 108:3047–3052.
Heiling, A.M., and M.E. Herberstein. 1999. The importance of being larger: Intraspecific competition
for prime web sites in orb-weaver spiders (Araneae, Araneidae). Behaviour 1365:669–677.
Hildebrandt, M.A., C. Hoffmann, S.A. Sherrill-Mix, S.A. Keilbaugh, M. Hamady, Y.C. Ying, R.
Knight, R.S. Ahima, F. Bushman, and G.D. Wu. 2009. High-fat diet determines the composition
of the murine gut microbiome independently of obesity. Gastroenterology. 1375:1716–1724.
Hills, R.D., B.A. Pontefract, H.R. Mishcon, C.A. Black, S.C. Sutton, and C.R. Theberge. 2019. Gut
microbiome: Profound implications for diet and disease. Nutrients 11.
Hird, S.M., B.C. Carstens, S.W. Cardiff, D.L. Dittmann, and R.T. Brumfield, R.T. 2014. Sampling
locality is more detectable than taxonomy or ecology in the gut microbiota of the brood-parasitic
Brown-headed Cowbird (Molothrus ater). PeerJ 2.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
16
Hope, D., C. Gries, P.Warren, M. Katti, G.Stuart, J. Oleson, and J. Kaye. 2005. How do humans
restructure the biodiversity of the Sonoran Desert? Pp. 189–194, In Gottfried, G.J., B.S. Gebow,
L.C. Eskew, C.B. Edminster. Connecting Mountain Islands and Desert Seas: Biodiversity and
Management of the Madrean Archipelago II. Proceedings RMRS-P-36. U.S. Department of Agriculture,
Forest Service, Rocky Mountain Research Station, Fort Collins, CO, USA. 631 pp.
Hostetler, N.E., and M.E. McIntyre. 2001. Effects of urban land use on pollinator Hymenoptera: Apoidea
communities in a desert metropolis. Basic and Applied Ecology 23:209–218.
Hu, G., L. Zhang, Y. Yun, and Y. Peng. 2019. Taking insight into the gut microbiota of three spider species:
No characteristic symbiont was found corresponding to the special feeding style of spiders.
Ecology and Evolution 9:8146–8156.
Huttenhower, C., D. Gevers, R. Knight, S. Abubucker, J.H. Badger, A.T. Chinwalla, H.H. Creasy,
A.M. Earl, M.G. Fitzgerald, R.S. Fulton, M.G. Giglio, K. Hallsworth-Pepin, E.A. Lobos, R.
Madupu, V. Magrini, J.C. Martin, M. Mitreva, D.M. Muzny, E.J. Sodergren, … O. White. 2012.
Structure, function and diversity of the healthy human microbiome. Nature 486:207–214.
Ivanova, A.A., A.D. Zhelezova, T.I. Chernov, and S.N. Dedysh. 2020. Linking ecology and systematics
of acidobacteria: Distinct habitat preferences of the Acidobacteria and Blastocatellia in tundra
soils. PloS ONE 15.
Janssen, P.H. 2006. Identifying the dominant soil bacterial taxa in libraries of 16S rRNA and 16S
rRNA genes. Applied and Environmental Microbiology 72:1719–1728.
Jašarević, E., C.L. Howerton, C.D. Howard, and T.L. Bale. 2015. Alterations in the vaginal microbiome
by maternal stress are associated with metabolic reprogramming of the offspring gut and
brain. Endocrinology 156:3265–3276.
Ji, M., J. van Dorst, A. Bissett, M.V. Brown, A.S. Palmer, I. Snape, S.D. Siciliano, and B.C. Ferrari.
2016. Microbial diversity at Mitchell Peninsula, Eastern Antarctica: A potential biodiversity
“hotspot.” Polar Biology, 39:237–249.
Jiang, H., W. Chen, L. Su, M. Huang, L. Lin, Q. Su, G. Li, H.I. Ahmad, L. Li, X. Zhang, H. Li, and
J. Chen. 2020. Impact of host intraspecies genetic variation, diet, and age on bacterial and fungal
intestinal microbiota in tigers. Microbiology Open 9.
Johnson, J.C., P.J. Trubl, and L.S. Miles. 2012. Black Widows in an urban desert: City-living compromises
spider fecundity and egg investment despite urban prey abundance. The American Midland
Naturalist 168:333–340.
Johnson, J.C., J. Urcuyo, C. Moen, and D.R. Stevens. 2019. Urban heat island conditions experienced
by the Western Black Widow Spider (Latrodectus hesperus): Extreme heat slows development but
results in behavioral accommodations. PloS ONE 14.
Koch, H., and P. Schmid-Hempel. 2011. Socially transmitted gut microbiota protect bumble bees
against an intestinal parasite. Proceedings of the National Academy of Sciences of the United
States of America 108:19288–19292.
Kohl, K.D., and J. Yahn. 2016. Effects of environmental temperature on the gut microbial communities
of tadpoles. Environmental Microbiology 18:1561–1565.
Kong, F., J. Zhao, S. Han, B. Zeng, J. Yang, X. Si, B. Yang, M. Yang, H. Xu, and Y. Li. 2014. Characterization
of the gut microbiota in the red panda (Ailurus fulgens). PloS ONE 9.
Kruskal, W.H., and W.A. Wallis. 1952. Use of ranks in one-criterion variance analysis. Journal of the
American Statistical Association 47:583–621.
Lee, S.H., J.O. Ka, and J.C. Cho. 2008. Members of the phylum Acidobacteria are dominant and
metabolically active in rhizosphere soil. FEMS Microbiology Letters. 285:263–269.
Lehner, B., G. Czisch, and S. Vassolo. 2005. The impact of global change on the hydropower potential
of Europe: A model-based analysis. Energy Policy 33:839–855.
Li, G., C. Fang, Y. Li, Z. Wang, S. Sun, S. He, W. Qi, C. Bao, H. Ma, Y. Fan, Y. Feng, and X. Liu.
2022. Global impacts of future urban expansion on terrestrial vertebrate diversity. Nature Communications
13.
Lin, H., M. Eggesbo, and S.D. Peddada. 2022. Linear and nonlinear correlation estimators unveil
undescribed taxa interactions in microbiome data. Nature Communications 13.
Lin, H., and S.D. Peddada. 2020. Analysis of compositions of microbiomes with bias correction.
Nature Communications 11.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
17
Love, M.I., W. Huber, and S. Anders. 2014. Moderated estimation of fold change and dispersion for
RNA-seq data with DESeq2. Genome Biology 15.
McKinney, M.L., and J.L. Lockwood. 1999. Biotic homogenization: A few winners replacing many
losers in the next mass extinction. Trends in Ecology and Evolution. 14:450–453.
Merra, G., P. Gualtieri, A. De Lorenzo, A. Capacci, G. Frank, M. Dri, L. Di Renzo, and M. Marchetti.
2023. Impact of precision nutrition on microbiota and obesity. Current Nutrition and Food Science.
20:602–614.
Molnar, J.L., R.L. Gamboa, C. Revenga, and M.D. Spalding. 2008. Assessing the global threat of
invasive species to marine biodiversity. Frontiers in Ecology and the Environment, 69:485–492.
Mowery, M.A., L.C. Rosenwald, E. Chapman, Y. Lubin, M. Segoli, T. Khoza, R. Lyle, and J.A. White.
2024. Endosymbiont diversity across native and invasive brown widow spider populations. Scientific
Reports 14.
Olden, J.D., N. LeRoy Poff, M.R., M.E. Douglas, and K.D. Fausch. 2004. Ecological and evolutionary
consequences of biotic homogenization. Trends in Ecology and Evolution, 191:18–24.
Oksanen J, G. Simpson, F. Blanchet, R. Kindt, P. Legendre, P. Minchin, R. O’Hara, P. Solymos, …J.
Weedon. 2022. vegan: Community ecology package. Available online at https://CRAN.R-project.
org/package=vegan. Accesssed 28 May 2026.
Ouyang, J.Q., C. Isaksson. C. Schmidt, P. Hutton, F. Bonier, and D. Dominoni. 2018. A new framework
for urban ecology: An integration of proximate and ultimate responses to anthropogenic
change. Integrative and Comparative Biology 58:915–928.
Panthee, B., S. Gyawali, P. Panthee, and K. Techato. 2022. Environmental and human microbiome
for health. Life 12.
Parent, L.R., D. Onofrei, D. Xu, D. Stengel, J.D. Roehling, J.B. Addison, C. Forman, S.A. Amin,
B.R. Cherry, J.L. Yarger, N.C. Gianneschi, and G.P. Holland. 2018. Hierarchical spidroin micellar
nanoparticles as the fundamental precursors of spider silks. Proceedings of the National Academy
of Sciences 11545:11507–11512.
Parks, D.H., M. Chuvochina, C. Rinke, A.J. Mussig, P. Chaumeil, P. Hugenholtz. 2021. GTDB: an
ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank
normalized and complete genome-based taxonomy. Nucleic Acids Research. 50:785–794.
Pickett, S.T.A., M.L. Cadenasso, D.L. Childers, M.J. McDonnell, and W. Zhou. 2016. Evolution and
future of urban ecological science: Ecology in, of, and for the city. Ecosystem Health and Sustainability
2.
Pintor, L. M., and A. Sih. 2009. Differences in growth and foraging behavior of native and introduced
populations of an invasive crayfish. Biological Invasions 1 1:1895–1902.
Posit team. 2023. RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston,
MA. Available online at https://posit.co/download/rstudio-desktop. Accessed 28 May 2026.
Ripp, J., O.T. Eldakar, A.C. Gallup, and P.T. Arena. 2018. The successful exploitation of urban environments
by the golden silk spider, Nephila clavipes (Araneae, Nephilidae). Journal of Urban
Ecology 4.
Risely, A. 2020. Applying the core microbiome to understand host–microbe systems. Journal of Animal
Ecology 89:1549–1558.
Rose, C., M.B. Lund, A.M. Søgård, M. M. Busck, J.S. Bechsgaard, A. Schramm, and T. Bilde. 2023.
Social transmission of bacterial symbionts homogenizes the microbiome within and across generations
of group-living spiders. ISME Communications 3.
Salem, H., E. Bauer, A.S. Strauss, H. Vogel, M. Marz, and M. Kaltenpoth, M. 2014. Vitamin supplementation
by gut symbionts ensures metabolic homeostasis in an insect host. Proceedings of the
Royal Society B: Biological Sciences 281.
Segata, N., J. Izard, L. Waldron, D. Gevers, L. Miropolsky, W.S. Garrett, and C. Huttenhower. 2011.
Metagenomic biomarker discovery and explanation. Genome Biology 12.
Shannon, C.E. 1948. A mathematical theory of communication. The Bell System Technical Journal.
27:379–423.
Shao, T., L. Shao, H. Li, Z. Xie, Z. He, and C. Wen. 2017. Combined signature of the fecal microbiome
and metabolome in patients with gout. Frontiers in Microbiology 8.
Urban Naturalist
H. Asrari, T. R. Sandrin, and J. C. Johnson
2026 No. 86
18
Shao, Y., S.C. Forster, E. Tsaliki, K. Vervier, A. Strang, N. Simpson, N. Kumar, M.D. Stares, A.
Rodger, P. Brocklehurst, N. Field, and T.D. Lawley. 2019. Stunted microbiota and opportunistic
pathogen colonization in caesarean-second birth. Nature. 574:117–121.
Shochat, E., P.S. Warren, S.H. Faeth, N.E. McIntyre, and D. Hope. 2006. From patterns to emerging
processes in mechanistic urban ecology. Trends in Ecology and Evolution. 21:186–191.
Shochat, E., W.L. Stefanov, M.E.A. Whitehouse, and S.H. Faeth. 2004. Urbanization and spider
diversity: Influences of human modification of habitat structure and productivity. Ecological Applications,
14:268–280.
Sih, A., J. Stamps, L.H. Yang, R. McElreath, and M. Ramenofsky. 2010. Behavior as a key component
of integrative biology in a human-altered world. Integrative and Comparative Biology
50:934–944.
Simonin, M., K.A. Voss, B.A. Hassett, J.D. Rocca, S. Wang, R.L. Bier, C.R. Violin, J.P. Wright, E.S.
Bernhardt. 2019. In search of microbial indicator taxa: shifts in stream bacterial communities
along an urbanization gradient. Environmental Microbiology. 21:3653–3668.
Sugden, S., D. Sanderson, K. Ford, L.Y. Stein, and C.C. St. Clair. 2020. An altered microbiome in
urban coyotes mediates relationships between anthropogenic diet and poor health. Scientific Reports
10.
Theis, K. R., A. Venkataraman, J.A. Dycus, K.D. Koonter, E.N. Schmitt-Matzen, A.P. Wagner, K.E.
Holekamp, and T.M. Schmidt. 2013. Symbiotic bacteria appear to mediate hyena social odors.
Proceedings of the National Academy of Sciences of the United States of America, 11049:19832–
19837.
Tinker, K. A., and E.A. Ottesen. 2021. Differences in gut microbiome composition between sympatric
wild and allopatric laboratory populations of omnivorous cockroaches. Frontiers in Microbiology
12.
Trombulak S.C., C.A. Frissell. 2000. Review of ecological effects of roads on terrestrial and aquatic
communities. Conservation Biology. 14:18–30.
Trubl, P., T. Gburek, L. Miles, and J.C. Johnson. 2012. Black widow spiders in an urban desert:
Population variation in an arthropod pest across metropolitan Phoenix, AZ. Urban Ecosystems
15:599–609.
Tung, J., L.B. Barreiro, M.B. Burns, J.-C. Grenier, J. Lynch, L.E. Grieneisen, J. Altmann, S.C. Alberts,
R. Blekhman, and E.A. Archie. 2015. Social networks predict gut microbiome composition in wild
baboons. eLife.
Walker, J. S., N.B. Grimm, J.M. Briggs, C. Gries, and L. Dugan, L. 2009. Effects of urbanization on
plant species diversity in Central Arizona. Frontiers in Ecology and the Environment 79:465–470.
Warnes G., B. Bolker, L. Bonebakker R. Gentleman, W. Huber, A. Liaw , T. Lumley, M. Maechler,
A. Magnusson, A. Moeller, M. Schwartz, and B. Venables. 2022. gplots: Various R programming
tools for plotting data. Available online at https://CRAN.R-project.org/package=gplots. Accessed
28 May 2026.
Wickham H., M. Averick, J. Bryan, W. Chang, L.D. McGowan, R. François, G. Grolemund, A. Hayes,
L. Henry, J. Hester, M. Kuhn, T.L. Pedersen, E. Miller, S.M. Bache SM, K. Müller, J. Ooms, D.
Robinson, D.P. Seidel, V. Spinu, K. Takahashi, D. Vaughan, C. Wilke, K. Woo, and H. Yutani.
2019. Welcome to the tidyverse. Journal of Open Source Software 4.
Wickham H., R. François, L. Henry, K. Müller, and D. Vaughan. 2023. dplyr: A grammar of data
manipulation. Available online at https://CRAN.R-project.org/package=dplyr. Accessed 28 May
2026.
Willmott, N.J., J. Henneken, C.J. Selleck, and T.M. Jones. 2018. Artificial light at night alters life
history in a nocturnal orb-web spider. PeerJ.
Wuebbles, D.J., and K. Hayhoe. 2002. Atmospheric methane and global change. Earth-Science Reviews,
57:177–210.
Zhang, L., Y. Yun, G. Hu, and Y. Peng. 2018. Insights into the bacterial symbiont diversity in spiders.
Ecology and Evolution 8:4899–4906.
Zhu, H. 2024. kableExtra: Construct complex table with “kable” and pipe syntax. Available online at
https://CRAN.R-project.org/package=kableExtra. Accessed 28 May 2026.