Microbial Ecology

TWiM #284: Flies, Squid and Pigs

Podcast and Annotation Information
  • Annotation by Hunter Ernstberger, Roxanne Jolie, Hibah Malik, Rebecca Seipelt-Thiemann, and Ines Rauschenbach.
  • Podcast audio by TWiM: Listen to TWiM #284 Podcast
  • Podcast transcript by Otter.ai and edited by the authors: Access Podcast Transcripts
  • Papers Discussed:
    • Behrens W, Kolte B, Junker V, Frentrup M, Dolsdorf C, Börger M, Jaleta M, Kabelitz T, Amon T, Werner D, Nübel U. 2023. Bacterial genome sequencing tracks the housefly-associated dispersal of fluoroquinolone- and cephalosporin-resistant Escherichia coli from a pig farm. Environ Microbiol. 25(6):1174-1185. doi: 10.1111/1462-2920.16352.
    • McAnulty SJ, Kerwin AH, Koch E, Nuttall B, Suria AM, Collins AJ, Schleicher TR, Rader BA, Nyholm SV. 2023. “Failure To Launch”: Development of a Reproductive Organ Linked to Symbiotic Bacteria. mBio. 14. doi: 10.1128/mbio.02131-22.

1. Paper Abstracts

1.1. Snippet paper; discussion starts at 5:11 minutes

The Most Interesting Things (according to students)

  • Flies can travel miles, bringing antibiotic-resistant bacteria from industrial farms to suburban homes. Really makes you wonder about your home’s proximity to livestock farms!
  • Antibiotic use in pig farming is banned in Denmark which has a higher pig population per capita than the US!

“The regular use of antimicrobials in livestock production selects for antimicrobial resistance. The potential impact of this practice on human health needs to be studied in more detail, including the role of the environment for the persistence and transmission of antimicrobial-resistant bacteria. During an investigation of a pig farm and its surroundings in Brandenburg, Germany, we detected abundant cephalosporin- and fluoroquinolone-resistant Escherichia coli in pig feces, sedimented dust, and house flies (Musca domestica). Genome sequencing of E. coli isolates revealed large phylogenetic diversity and plasmid-borne extended-spectrum beta lactamase (ESBL) genes CTX-M-1 in multiple strains. [Correction added on 28 February 2023, after first online publication: In the preceding sentence, ‘and TEM-1’ was previously included but has been deleted in this version.] Close genomic relationships indicated frequent transmission of antimicrobial-resistant E. coli between pigs from different herds and across buildings of the farm and suggested dust and flies as vectors for dissemination of faecal pathogens. Strikingly, we repeatedly recovered E. coli from flies collected up to 2 km away from the source, whose genome sequences were identical or closely related to those from pig faeces isolates, indicating the fly-associated transport of diverse ESBL-producing E. coli from the pig farm into urban habitation areas. The observed proximity of contaminated flies to human households poses a risk of transmission of antimicrobial-resistant enteric pathogens from livestock to man.” (Behrens et al. 2023, no changes)

1.2. Main paper; discussion starts at 25:29 minutes

The Most Interesting Things (according to students)

Microbiomes present on the eggs of the squid protect the eggs from pathogenic microbes by out-competing them for nutrients. When inoculated with the bacteria that were isolated as necessary for the squid’s reproductive development, the sand that was collected from dry regions (despite similar physical properties) was not a viable substrate, not unlike the results when using autoclaved lab sand.

“Developmental processes in animals are influenced by colonization and/or signaling from microbial symbionts. Here, we show that bacteria from the environment are linked to development of a symbiotic organ that houses a bacterial consortium in female Hawaiian bobtail squid, Euprymna scolopes. In addition to the well-characterized light organ association with the bioluminescent bacterium Vibrio fischeri, female E. scolopes house a simple bacterial community in a reproductive organ, the accessory nidamental gland (ANG). In order to understand the influences of bacteria on ANG development, squid were raised in the laboratory under conditions where exposure to environmental microorganisms was experimentally manipulated. Under conditions where hosts were exposed to depleted environmental bacteria, ANGs were completely absent or stunted, a result independent of the presence of the light organ symbiont V. fischeri. When squid were raised in the laboratory with substrate from the host’s natural environment containing the native microbiota, normal ANG development was observed, and the bacterial communities were similar to wild-caught animals. Analysis of the bacterial communities from ANGs and substrates of wild-caught and laboratory-raised animals suggests that certain bacterial groups, namely, the Verrucomicrobia, are linked to ANG development. The ANG community composition was also experimentally manipulated. Squid raised with natural substrate supplemented with a specific ANG bacterial strain, Leisingera sp. JC1, had high proportions of this strain in the ANG, suggesting that once ANG development is initiated, specific strains can be introduced and subsequently colonize the organ. Overall, these data suggest that environmental bacteria are required for development of the ANG in E. scolopes.” (McAnulty et al. 2023, no changes)

2. Vision and Change Core Concepts and 2024 ASM Fundamental Statements

Snippet Main
Vision and Change Topics
  • Evolution (V&C_E)
  • Microbial Ecology (V&C_ME)
  • Evolution (V&C_E)
  • Impact of Microorganisms (V&C_IM)
  • Microbial Ecology (V&C_ME)
ASM Fundamental Statements
  • Fundamental Statement 2 (ASM_2): The diversity of microbes has arisen because of processes that include horizontal gene transfer, mutation, reassortment, recombination, and natural selection in varying ecological niches that favor the growth and survival of certain variants.
  • Fundamental Statement 23 (ASM_23): The health of the environment and all organisms (microbes, plants, humans,and other animals) are closely linked and interdependent, as described by the One Health paradigm.
  • Fundamental Statement 3 (ASM_3): The evolution of microbes is impacted by their interactions with the environment and a variety of ecological forces, including other microbes, humans, and habitats.
  • Fundamental Statement 22 (ASM_22): Most microbes interact with hosts in beneficial or neutral ways, with a minority having a detrimental impact on their host.
  • Fundamental Statement 27 (ASM_27): The extent of microbial diversity is largely unknown, and exploring this diversity is critical to understanding microbes and their role in the biosphere

3.  Potential Learning Objectives for the Podcast

The student will be able to: Paper1 Order2
  • Identify how antibiotic resistant microbes evolve.
  • Recall the role of vectors in transmission of antimicrobial resistance.
  • Identify agricultural uses of antibiotics.
S L
  • Hypothesize the public health implications of antimicrobial resistance transmission from agriculturally-related insect vectors.
S H
  • Define a mutualistic symbiotic relationship.
  • Identify how the researchers introduced different squid microbiome communities.
M L
  • Propose an experiment to identify how microbiome development occurs for another animal-symbiont species.
M H

1Papers: Snippet (S) or Main (M)
2Learning Objectives: Lower Order or Higher Order (H)

4. Techniques Described (with Time Stamps)

Here is a link to a bio-dictionary that has many, but not all definitions if you need a definition: Explore Biology Bio-Dictionary

4.1. Snippet Paper

  • Whole Genome Sequencing (11:28–11:59; 15:57–16:06): Whole genome sequencing is a next generation sequencing (NGS) technique to sequence a whole genome, compare it to a reference genome, and identify changes between them.  Here it was used to identify base pair sequences related to antibiotic-resistant characteristics within bacteria acquired from the pigs and flies and in microbial source tracking, i.e., determining the microbe’s origin.
  • Multi-locus Sequence Type (MLST) Analysis (14:55–x15:35): Multi-locus sequence typing is a method of using the sequence of a set of housekeeping genes to determine relatedness of bacterial species.  Here it was utilized in comparing relationships of bacterial sequences isolated from pig feces and the flies.
  • Antibiotic Susceptibility Testing (16:07–16:30; 17:06–17:25): This is an assay to determine the degree to which a bacterium is sensitive to an antibiotic. Here, it was used to show the dispersal of pig-associated antibiotic resistant bacteria.
  • Fluorescent/Dye Tagging (19:06–19:22): Fluorescent molecules can be used to track a number of things.  Here, flies were painted with fluorescent dyes, and their migratory patterns tracked to measure transmission range.
  • Pulsed-Field Gel Electrophoresis (19:40–20:06): This is an electrophoresis technique to separate large DNA fragments.  Here, it was used to discussed that Salmonella sp. and Escherichia coli have indistinguishable DNA macro-restriction patterns [pulsotypes].

4.2. Main Paper

  • Model Organism (28:09–28:15; 44:28–44:40; 47:10–47:15): A model organism is a specific organism with a set of features that is extensively studied; the findings from studying this organism are used to hypothesize the characteristics or relationships of other organisms.
  • Gnotobiosis (32:50–33:16): This is a method for rearing/culturing organisms under laboratory conditions that remove all other associated organisms (parasites, microbiota, etc.).  Here is was used so that squid microflora could be manipulated.
  • Microbiota Manipulation  (35:40–37:15): These methods involved using different sources of microbes to populate the squid microbiota.  Here, various sand collections were placed under different conditions to examine microbial population and its subsequent effects on the squid. Some sand batches were autoclaved, and others were left out to dry in the sun to decrease microbial populations.
  • Reporter/Indicator Bacteria (37:30–38:43): These are bacteria that are biomarkers.  Here, bacteria that produce blue colonies were used to indicate and measure the effectiveness of “spiking” wild wet sand.
  • Beta Diversity (40:48–43:12): This is a measure of the diversity of a region based on species composition of the area.  Low diversity indicates that communities in the region are more similar and high diversity indicates that communities are less alike.  Here, it was visually represented with Bray Curtis beta diversity graphs, the closeness of points to each other indicates less biodiversity.
  • 16S rDNA Genomic Analysis (43:18–44:45): Metagenomic sequencing of 16S rDNA is a “high-level, low-resolution” sequencing technique to identify present bacterial taxa present in a mixed sample.  It is unable to differentiate at more precise (genera, species) levels.

5. Connections to General Microbiology Processes/Concepts (with Time Stamps)

5.1. Snippet Paper

  • Antimicrobial Resistance (3:01–3:11; 7:25–8:12; 17:00–17:30): Use of antibiotics in livestock production selects for antimicrobial resistance. The use of antibiotics for livestock is only increasing, and therefore so is antimicrobial resistance.
  • Antibiotic Misuse (6:27–7:23): Antibiotics allow livestock to grow bigger much faster, therefore they are used even when the animals do not require them.
  • Zoonosis (8:12–9:24, 17:30–18:17): The spread of disease/infection derived from animals is impacting human health and antibiotic-free meat products can be beneficial.
  • Mechanical Vectors (9:24–11:02; 12:40–14:38; 21:46–23:55): such as House flies can be mechanical vectors that carry a pathogen from one location to another. In this case, the pathogen is antimicrobial-resistant bacteria.
  • Genomic Analysis (10:31–12:06): Analysis of dust, pig feces, and flies were used to detect antimicrobial-resistant genes.
  • Antimicrobials (12:07–12:39): Antimicrobials can prevent diarrheal diseases in livestock and also have been shown to increase the growth of livestock when used in the early stages of life.
  • Antimicrobial Resistance (AMR) Transmission (15:36–16:02): Transmission of antimicrobial resistant pathogens can be traced back to the piglets from a farm.
  • Nosocomial Infections (16:02–16:29): Comparing antimicrobial resistance to hospital-acquired infections that can be very drug resistant.
  • Drug Targets (16:29–17:00): Antibiotics target cellular functions of pathogens to inhibit their growth/replication.

5.2. Main Paper

  • Mutualism (28:16–29:12; 30:36–31:50): Vibrio fischeri at high density can show bioluminescence. E. scolopes has developed a light organ colonized by the bacteria that aids in protection from predators.
  • Quorum Sensing (29:50–30:26): Vibrio fischeri secrete small molecules to sense neighboring cells. When the bacterial population is high, gene expression is induced to produce Lux genes responsible for bioluminescence.
  • Microbial Ecology (33:22–34:34; 38:00–39:03): Naturally occurring bacterial populations in the sand found in the environment of the squid are responsible for supplying the squid with the bacteria needed for effective reproduction.
  • Consortial Microbiomes (35:01–37:29): Bacterial communities differ in the ANG of the squid depending on the sand available where they were collected or raised. Changes to the bacterial community affected the effectiveness of the sand and the reproductive outcome within the squid.
  • Adaptive Immunity (46:25–47:02): The immune system requires exposure to different antigens in order to create specialized defenses (e.g. antibodies) in response; this complex process of exposure and development is paralleled to the growth of the squid’s reproductive organ

6. Podcast Questions

  1. How does the use of antibiotics select for organisms with antimicrobial resistance?
    1. Antibiotics kill microbes that have significant differences in gene expression.
    2. Antibiotics directly cause mutations in bacteria that provide resistance.
    3. Antibiotics kill susceptible bacteria, resistant bacteria to survive and multiply.
    4. Antibiotics kill pathogenic species and non-pathogenic species survive.
  2. What role do insect vectors such as flies play in transmission of antimicrobial resistance?
    1. They induce expression of antibiotic resistance operons
    2. They are a niche for growth of antibiotic-resistance genes
    3. They serve as carriers for antibiotic-resistant bacteria
    4. They ingest feces which has pathogens that infect humans
  3. What were the agricultural uses of antibiotics discussed in the podcast?
    1. reduce aggressive behavior
    2. increase growth of animals
    3. treat animal infections
    4. required for farm-farm transfer
  4. Why is the finding that transmission of vector-based antibiotic resistance occurs a global cause for concern?
    1. Flying insects can increase the dispersal of antibiotic resistance genes to sensitive bacteria
    2. Flying insects can transmit antibiotic resistance to ecosystems affecting global biodiversity
    3. Flying insects increase the risk of antibiotic resistance spreading to eukaryotic pathogens
    4. Flying insects can help increase predator antibiotic resistance through natural selection
  5. A mutualistic symbiotic relationship is when ________.
    1. One organism benefits, the other is harmed
    2. One organism benefits, the other is unharmed
    3. Both organisms benefit in the relationship
    4. Neither organism benefits or is harmed
  6. How did the researchers introduce different microbial communities to the squid?
    1. They included natural sand that had undergone different treatments.
    2. They inoculated the squid with a variety of different known microbes.
    3. They grew the squid in natural spring waters treated with antibiotics.
    4. They purchased squid from different aquatic regions of the world.
  7. In this study it was found that the bacterial community developed using environmentally acquired microbes. The anglerfish is a deep sea dwelling fish that uses a light organ populated by bacterial symbionts, Photobacterium, to attract prey. How could you apply the methods used in this study to investigate the anglerfish light organ symbionts?
    1. Grow lab-borne and wild-caught anglerfish in natural sea water and water supplemented with nutrients to measure light organ development and brightness over time.
    2. Grow lab-borne and wild-caught anglerfish in natural sea water and water supplemented with antibiotics to observe changes in symbiont activity and prey attraction behavior.
    3. Grow lab-borne and wild-caught anglerfish in natural sea water and water supplemented with sterile controls to compare immune responses and microbial colonization patterns.
    4. Grow lab-borne and wild-caught anglerfish in natural sea water and water supplemented with different bacteria to determine bacteria species present and where they originate.

7. Figure Reading Exercises

The following are two figure reading exercises, one from the snippet paper (Figure 3) and one from the main paper (Figure 5AB).

7.1. First Figure Reading Exercise

7.1.1. Learning Objectives

Students will be able to:

  • Identify key features in box plots.
  • Analyze data to make conclusions about dispersal of antibiotic-resistant bacteria by source.
  • Analyze data to make conclusions about dispersal of specific antibiotic-resistant bacteria.
  • Hypothesize which antibiotic resistances are of most concern for transmission based on the data.
Experimental Background (Behrens et al., Figure 3)

Antimicrobial uses in agriculture extend beyond treating infections because antibiotic exposure increases animal growth, making the time to market shorter.  Since antimicrobial resistance evolves by exposure and resistance to current antimicrobials is a major concern because it is responsible for many deaths worldwide, Behrens et al. (2023) investigated the prevalence of agriculturally-based antibiotic resistant bacteria at animal farms, and also possible dispersal by insect vectors.  To do this, they focused on pig farms where piglets are treated with colistin, ciprofloxacin, and cefotaxime to fatten them, but also are treated with other antibiotics to treat infections.  They collected feces from piglets in twelve herds when they arrived at each farm and then every week or two weeks for a total of eight weeks.  They next quantified the number of resistant bacteria in the feces.  They identified 336 antibiotic resistant Escherichia coli isolates associated with eleven different drug classes (Beta Lactams, Aminoglycosides, Diaminopyrimidine, Fosfomycin, Macrolides and Lincosamides, Fluoroquinolone, Peptide, Sulfonamide, Eflamycin, Phenicol, and Nucleoside).  They also found that viable antibiotic-resistant bacteria could be found in barn compartments and the open stable.  So, their next experiment focused on dispersal from the pigs to the structural buildings, closed stables.  They quantified the proportion of living enterobacteria that were resistant to colistin, ciprofloxacin, and cefotaxime in farm dust (left side of panel) and in houseflies (right side of panel) found on the farm.

Box plots of bacteria in dust and flies. Similar amounts are in both except for cefotaxime (purple), which is more present in dust than in flies.
Figure 3. “Proportions of AMR enterobacteria in houseflies and in deposited dust. Proportions of cultivatable enterobacteria (logarithmic scale) resistant to ciprofloxacin, colistin and cefotaxime, respectively, are shown. Boxes indicate the median (50th percentile), 25th and 75th percentiles, and whiskers reach to 1.5 times the interquartile ranges.” (Behrens et al. 2023, no changes)

7.1.2. Questions

  1. Living bacteria resistant to each antibiotic is quantified by its proportion and represented in a box plot.  Match the box plot feature with its description. (1 = mean; 2 = median; 3 = outlier; 4 = interquartile range; 5 = individual measures; 6= 1.5 x the interquartile range)
    1. ______ Horizontal line in box
    2. ______ Symbols, such as circles
    3. ______ Box
    4. ______ Whiskers
  2. Which sample has the largest variability in sample values? What is your evidence?
    1. dust, ciprofloxacin; the median is highest
    2. dust, colistin; the range is smallest
    3. fly, ciprofloxacin; there is an outlier dot
    4. fly, cefotaxime; the interquartile box is largest
  3. Based on these data, is dust from the closed stable a possible source of antibiotic resistance transmission? What is your evidence?
    1. yes; at least 10% of the bacteria are resistant to each antibiotic
    2. yes; there is significantly more resistance to cefotaxime
    3. no; there is no difference for the three antibiotic resistance levels
    4. no; there is no difference in antibiotic resistance compared to flies
  4. Based on these data, are houseflies a possible source of antibiotic resistance transmission? What is your evidence?
    1. no; there is significantly less resistance to the antibiotic cefotaxime
    2. no; there is no difference in antibiotic resistance compared to dust
    3. yes; there is statistically significant levels of resistance to all antibiotics
    4. yes; at least for ciprofloxacin and colistin, but maybe not for cefotaxime
  5. Given that houseflies were found 2 kilometers from the farm, which antibiotic resistances are the most cause for concern based on these data? [pick all that apply]
    1. ciprofloxacin
    2. colistin
    3. cefotaxime

7.2. Second Figure Reading Exercise

7.2.1. Learning Objectives

Students will be able to:

  • Identify the experimental methods and background ecological concepts related to the experiment and experimental data.
  • Analyze the data and make conclusions about the treatment condition that promotes high alpha diversity in the ANG symbiont community.
  • Analyze the data and make conclusions about which treatment condition promotes development of the ANG symbiont community that is most similar in diversity to wild-caught squid.
  • Evaluate the control communities for unusual patterns that should be followed up.
Experimental Background (McAnulty et al., Figure 5AB)

A number of aquatic animals house bacterial symbionts that aid them in their lifestyle including the giant tube worm and the Hawaiian bobtail squid.  The squid is already known for its symbiosis with bacteria (Vibrio fischeri) to generate a bioluminescent light organ. Here, McAnulty et al. (2023) investigate another symbiotic relationship in the squid. this time to a reproductive organ called the accessory nidamental gland (ANG).  The researchers used 16S rDNA sequencing to identify the species present in the ANG reproductive organ from wild-caught (panel A, Wild) as well as squid housed with sterile lab sand in Connecticut (CT Lab Sand), sterile lab sand in Wisconsin (WI Lab Sand), wet Hawaiian sand (Wet), or wet Hawaiian sand supplemented with bacterial strain JC1 (We + JC1).  QIIME, which is a set of bioinformatics tools for studying populations, was used to identify operational taxonomic units (OTUs), which is functionally equivalent to a species for our purposes.  These data were then used to analyze beta diversity (Bray-Curtis, panel A) and alpha diversity (Shannon Index, panel B), and phylogenetic diversity (panel C).

Recall that alpha diversity is calculated for a specific community and scores are influenced by both the number of species present and the even-ness of their distribution. Beta diversity is calculated across communities or habitats.  You might find this primer on biodiversity handy.  Magurran AE. 2021. Measuring biological diversity. Curr Biol. 31(19):R1174-R1177. doi: 10.1016/j.cub.2021.07.049.

Statistical significance was tested as noted in the figure legend, but are not described there.  From the paper text, it is noted that lowercase letters denote specific p level groups.  For example, all those noted as part of group a are not different from each other but are statistically different from the other groups, e.g. group c.

Three charts of different sample types color coded.

Figure 5: “Bray Curtis beta diversity analysis demonstrates that the ANG bacterial composition of lab-raised animals was generally distinct from that of wild-caught E. scolopes, but those animals raised on wet-collected sand had a community that most closely resembled that of wild-caught animals (A). Asterisks indicate raised ANGs with >4% relative abundance of Verrucomicrobia, demonstrating that a higher abundance of Verrucomicrobia appears to shift the overall community composition toward that of the wild-caught animals (A). The richness and evenness of the community was not significantly lower than that of ANGs from wild-caught squid for animals raised on wet-collected sand (B), but the phylogenetic diversity of all ANGs from raised animals was significantly lower than that of wild-caught animals (C). Letter groups denote significantly different alpha diversity levels (B: F4,58 = 36.75, P < 0.0001; C: F4,58 = 32.34, P < 0.0001), based on one-way ANOVA and post hoc Tukey’s test for multiple comparisons. “Wet” indicates wet-collected sand throughout. “Lab sand” samples are from stunted ANGs from raising experiments not conducted on wet-collected sand (Fig. 2)” (McAnulty et al. 2023, no changes)

7.2.2. Questions

  1. Which method was used to identify and quantify the microbial composition of each squid ANG population in the paper?
    1. whole genome sequencing
    2. RNA sequencing
    3. 16S rDNA sequencing
    4. multi-locus sequence typing
  2. Match the diversity measure description and its name.
Biodiversity Measure Description
a.________ alpha 1. abundance and identity of species in all squid ANG in the same treatment condition
b. ________ beta 2. the difference in abundance and identity of species across all squid ANG treatment groups
c. ________ gamma 3. differences in abundance and identity of species between squid ANG treatment groups
  1. Which color symbol represents the diversity measures for the ANG symbiont community in the wild-caught squid (panel A)?
    1. dark blue
    2. sky blue
    3. yellow
    4. pink
    5. purple

Please use this text for the next two questions

The overall diversity of each treatment condition is depicted using a Non-metric Multidimensional Scaling plot (NMDS) with first two dimensions plotted as the x and y axes.  This type of plot allows us to visualize in two-dimensional space how: 1) the data for each sample in a particular treatment group with its replicates and 2) and how similar the treatment groups compared to the other treatment groups.

  1. Which replicates are most alike in their symbiont community diversity measures (panel A)?
    1. Wild-caught
    2. CT Lab Sand
    3.  WI Lab Sand
    4. Wet
    5. Wet + JCI
  2. Which experimental treatment group symbiont communities are most like the symbiont community from wild-caught squid (panel A)?
    1. WI Lab Sand only
    2. CT Lab Sand only
    3. CT and WI Lab Sand
    4. Wet and Wet + JCI
  3. Alpha diversity of the ANG symbiont communities for each treatment are noted in panel B.  Based on these data, which communities are most like the high alpha diversity of wild-caught squid? What is your evidence?
    1. CT Lab Sand, Wet Sand and Wet + JCI; they have similar means
    2. WI Lab Sand; these both have a similar wide dispersion of diversity
    3. Wet and Wet + JCI; these are all found in group a with wild-caught
    4. WI Lab Sand; the median is similar to that of wild-caught squid
  4. The squid grown with lab sand were grown in both Connecticut and Wisconsin, but these data suggest their communities are in fact different.  Based on the data in both panels, are these control squid communities alike or different? What is your evidence?
    1. alike; they group together in both beta and alpha diversity.
    2. alike; they are both using lab grown sand so they are alike.
    3. different; they have distinct patterns but are more alike than not.
    4. different; the replicates group, but the WI and CT do not group.

8. Paper Information and Licensing

8.1. Snippet paper

  • Behrens W, Kolte B, Junker V, Frentrup M, Dolsdorf C, Börger M, Jaleta M, Kabelitz T, Amon T, Werner D, Nübel U. 2023. Bacterial genome sequencing tracks the housefly-associated dispersal of fluoroquinolone- and cephalosporin-resistant Escherichia coli from a pig farm. Environ Microbiol. 25(6):1174-1185. doi: 10.1111/1462-2920.16352.
  • This article is licensed for Creative Commons use using CC BY NC ND 4.0, which allows re-use with proper attribution and provided there are no changes/derivatives, for non-commercial purposes.

8.2. Main paper

  • McAnulty SJ, Kerwin AH, Koch E, Nuttall B, Suria AM, Collins AJ, Schleicher TR, Rader BA, Nyholm SV. 2023. “Failure To Launch”: Development of a Reproductive Organ Linked to Symbiotic Bacteria. mBio. 14:e02131-22. doi: 10.1128/mbio.02131-22.
  • This article is licensed for Creative Commons use using CC BY SA 4.0, which allows re-use and adaptation with proper attribution as long as derivatives are shared under the same terms.

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Podcast Annotation and Resources in Microbiology Copyright © 2025 by Rebecca Seipelt-Thiemann; Nancy Boury; Gwendowlyn S. Knapp; Amaya Garcia Costas; and Patrick Armstrong is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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