scholarly journals The structured diversity of specialized gut symbionts of the New World army ants

2016 ◽  
Author(s):  
Piotr Łukasik ◽  
Justin A. Newton ◽  
Jon G. Sanders ◽  
Yi Hu ◽  
Corrie S. Moreau ◽  
...  

Symbiotic bacteria play important roles in the biology of their arthropod hosts. Yet the microbiota of many diverse and influential groups remain understudied, resulting in a paucity of information on the fidelities and histories of these associations. Motivated by prior findings from a smaller scale, 16S rRNA-based study, we conducted a broad phylogenetic and geographical survey of microbial communities in the ecologically dominant New World army ants (Formicidae: Dorylinae). Amplicon sequencing of the 16S rRNA gene across 28 species spanning the five New World genera showed that the microbial communities of army ants consist of very few common and abundant bacterial species. The two most abundant microbes, referred to as Unclassified Firmicutes and Unclassified Entomoplasmatales, appear to be specialized army ant associates that dominate microbial communities in the gut lumen of three host genera, Eciton, Labidus and Nomamyrmex. Both are present in other army ant genera, including those from the Old World, suggesting that army ant symbioses date back to the Cretaceous. Extensive sequencing of bacterial protein-coding genes revealed multiple strains of these symbionts co-existing within colonies, but seldom within the same individual ant. Bacterial strains formed multiple host species-specific lineages on phylogenies, which often grouped strains from distant geographic locations. These patterns deviate from those seen in other social insects, and raise intriguing questions about the influence of army ant colony swarm-founding and within-colony genetic diversity on strain co-existence, and the effects of hosting a diverse suite of symbiont strains on colony ecology.

2008 ◽  
Vol 74 (13) ◽  
pp. 3969-3976 ◽  
Author(s):  
Jingrang Lu ◽  
Jorge W. Santo Domingo ◽  
Regina Lamendella ◽  
Thomas Edge ◽  
Stephen Hill

ABSTRACT In spite of increasing public health concerns about the potential risks associated with swimming in waters contaminated with waterfowl feces, little is known about the composition of the gut microbial community of aquatic birds. To address this, a gull 16S rRNA gene clone library was developed and analyzed to determine the identities of fecal bacteria. Analysis of 282 16S rRNA gene clones demonstrated that the gull gut bacterial community is mostly composed of populations closely related to Bacilli (37%), Clostridia (17%), Gammaproteobacteria (11%), and Bacteriodetes (1%). Interestingly, a considerable number of sequences (i.e., 26%) were closely related to Catellicoccus marimammalium, a gram-positive, catalase-negative bacterium. To determine the occurrence of C. marimammalium in waterfowl, species-specific 16S rRNA gene PCR and real-time assays were developed and used to test fecal DNA extracts from different bird (n = 13) and mammal (n = 26) species. The results showed that both assays were specific to gull fecal DNA and that C. marimammalium was present in gull fecal samples collected from the five locations in North America (California, Georgia, Ohio, Wisconsin, and Toronto, Canada) tested. Additionally, 48 DNA extracts from waters collected from six sites in southern California, Great Lakes in Michigan, Lake Erie in Ohio, and Lake Ontario in Canada presumed to be impacted with gull feces were positive by the C. marimammalium assay. Due to the widespread presence of this species in gulls and environmental waters contaminated with gull feces, targeting this bacterial species might be useful for detecting gull fecal contamination in waterfowl-impacted waters.


2018 ◽  
Author(s):  
Zongfu Hu ◽  
Xi CHEN ◽  
Jie CHANG ◽  
Jianhua YU ◽  
Qing TONG ◽  
...  

Widely distributed across the world, the freshwater snail Radix auricularia plays an important role in freshwater systems. In this study, gut bacterial communities of R. auricularia were characterized using 16S rRNA amplicon sequencing, then intestinal bacteria were compared at different growth stages: adult snails (AS) (with complete gonadal development) and juvenile snails (JS) (with incomplete gonadal development). We obtained 251,072 high quality sequences which were clustered into 1,196 operational taxonomic units (OTUs) with 97% sequence identity. The predominant phyla were Proteobacteria and Cyanobacteria, followed by Chloroflexi, Firmicutes, and Actinobacteria. Other bacterial species such as Tenericutes, Bacteroidetes, Fusobacteria and Verrucomicrobia were present to a lesser extent. 52 bacterial families and 55 genera were found in > 1% of each sample. A large number of species could not be successfully identified. 469 core OTUs were found to make up 39.38% of all OTUs and 88.38% of all sequences. Samples obtained from juvenile organisms possessed higher ratios of Ruminococcaceae, Subdoligranulum, and Faecalibacterium than adult species. Furthermore, 16S rRNA gene data was used to predict function, showing that genes related to metabolism and environmental information processing were rich in snail samples.


2019 ◽  
Vol 8 (36) ◽  
Author(s):  
Takeshi Yamada ◽  
Jun Harada ◽  
Yuki Okazaki ◽  
Tsuyoshi Yamaguchi ◽  
Atsushi Nakano

We analyzed the prokaryotes in bulking and healthy sludge from a mesophilic expanded granular sludge bed reactor treating wastewater with high organic content by 16S rRNA gene amplicon sequencing. We tabulated the microbiota at the phylum level, providing a framework for avoiding sludge bulking.


mSystems ◽  
2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Florencia A. Tettamanti Boshier ◽  
Sujatha Srinivasan ◽  
Anthony Lopez ◽  
Noah G. Hoffman ◽  
Sean Proll ◽  
...  

ABSTRACT Whereas 16S rRNA gene amplicon sequencing quantifies relative abundances of bacterial taxa, variation in total bacterial load between samples restricts its ability to reflect absolute concentrations of individual bacterial species. Quantitative PCR (qPCR) can quantify individual species, but it is not practical to develop a suite of qPCR assays for every bacterium present in a diverse sample. We sought to determine the accuracy of an inferred measure of bacterial concentration using total bacterial load and relative abundance. We analyzed 1,320 samples from 20 women with a history of frequent bacterial vaginosis who self-collected vaginal swabs daily over 60 days. We inferred bacterial concentrations by taking the product of species relative abundance (assessed by 16S rRNA gene amplicon sequencing) and bacterial load (measured by broad-range 16S rRNA gene qPCR). Log10-converted inferred concentrations correlated with targeted qPCR (r = 0. 935, P < 2.2e–16) for seven key bacterial species. The mean inferred concentration error varied across bacteria, with rarer bacteria associated with larger errors. A total of 92% of the >0.5-log10 errors occurred when the relative abundance was <10%. Many errors occurred during early bacterial expansion from or late contraction to low abundance. When the relative abundance of a species is >10%, inferred concentrations are reliable proxies for targeted qPCR in the vaginal microbiome. However, targeted qPCR is required to capture bacteria at low relative abundance and is preferable for characterizing growth and decay kinetics of single species. IMPORTANCE Microbiome studies primarily use 16S rRNA gene amplicon sequencing to assess the relative abundance of bacterial taxa in a community. However, these measurements do not accurately reflect absolute taxon concentrations. We sought to determine whether the product of species’ relative abundance and total bacterial load measured by broad-range qPCR is an accurate proxy for individual species’ concentrations, as measured by taxon-specific qPCR assays. Overall, the inferred bacterial concentrations were a reasonable proxy of species-specific qPCR values, particularly when bacteria are present at a higher relative abundance. This approach offers an opportunity to assess the concentrations of bacterial species and how they change in a community over time without developing individual qPCR assays for each taxon.


2001 ◽  
Vol 67 (7) ◽  
pp. 3195-3200 ◽  
Author(s):  
Fanrong Kong ◽  
Gregory James ◽  
Susanna Gordon ◽  
Anna Zelynski ◽  
Gwendolyn L. Gilbert

ABSTRACT Mycoplasma arginini, M. fermentans, M. hyorhinis, M. orale, and Acholeplasma laidlawii are the members of the class Mollicutes most commonly found in contaminated cell cultures. Previous studies have shown that the published PCR primer pairs designed to detect mollicutes in cell cultures are not entirely specific. The 16S rRNA gene, the 16S-23S rRNA intergenic spacer region, and the 5′ end of the 23S rRNA gene, as a whole, are promising targets for design of mollicute species-specific primer pairs. We analyzed the 16S rRNA genes, the 16S-23S rRNA intergenic spacer regions, and the 5′ end of the 23S rRNA genes of these mollicutes and developed PCR methods for species identification based on these regions. Using high melting temperatures, we developed a rapid-cycle PCR for detection and identification of contaminant mollicutes. Previously published, putative mollicute-specific primers amplified DNA from 73 contaminated cell lines, but the presence of mollicutes was confirmed by species-specific PCR in only 60. Sequences of the remaining 13 amplicons were identified as those of gram-positive bacterial species. Species-specific PCR primers are needed to confirm the presence of mollicutes in specimens and for identification, if required.


2019 ◽  
Vol 27 (1) ◽  
pp. 29-38
Author(s):  
Thanh Binh Chu ◽  
Thi Thu Hong Do ◽  
Xuan Thinh Le ◽  
Cao Cuong Ngo ◽  
Thi Thu Huyen Pham ◽  
...  

Gastropoda is a large class in coastal waters in Central Vietnam. The interaction between microorganisms and Gastropoda mainly consists of symbiotic and parasitic relationships. In this study, biodiversity of microbial communities on some species of Gastropoda is evaluated, thereby predicting their interaction. From 12 samples of Gastropoda including 3 species: Trochus maculatus , Cypraea eglantica , Chicoreus bruneus , 101 microorganism strains including 79 bacterial strains (78.2%), 18 yeast strains (17.8%) and 4 actinomycetes strains (4.0%) were isolated. There were 15 strains (including 8 yeast strains, 5 bacterial strains and 2 actinomycetes strains) selected to identify based on sequence analysis of the D1/D2 region (yeast) and 16S rRNA gene (bacteria and actinomycetes). Based on the identification results, it is possible to predict the nutritional relationship between microorganisms and species of Gastropoda.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaofen Hu ◽  
Fei Wang ◽  
Shanshan Yang ◽  
Xu Yuan ◽  
Tingyu Yang ◽  
...  

Abstract Background Rabbit can produce meat, fur and leather, and serves as an important biomedical animal model. Understanding the microbial community of rabbits helps to raise rabbits healthily and better support their application as animal models. Results In this study, we selected 4 healthy Belgium gray rabbits to collect the microbial samples from 12 body sites, including skin, lung, uterus, mouth, stomach, duodenum, ileum, jejunum, colon, cecum, cecal appendix and rectum. The microbiota across rabbit whole body was investigated via 16S rRNA gene amplicon sequencing. After quality control, 46 samples were retained, and 3,148 qualified ASVs were obtained, representing 23 phyla and 264 genera. Based on the weighted UniFrac distances, these samples were divided into the large intestine (Lin), stomach and small intestine (SSin), uterus (Uter), and skin, mouth and lung (SML) groups. The diversity of Lin microbiota was the highest, followed by those of the SSin, Uter and SML groups. In the whole body, Firmicutes (62.37%), Proteobacteria (13.44%) and Bacteroidota (11.84%) were the most predominant phyla. The relative abundance of Firmicutes in the intestinal tract was significantly higher than that in the non-intestinal site, while Proteobacteria was significantly higher in the non-intestinal site. Among the 264 genera, 35 were the core microbiota distributed in all body sites. Sixty-one genera were specific in the SML group, while 13, 8 and 1 were specifically found in the Lin, SSin and Uter groups, respectively. The Lin group had the most difference with other groups, there were average 72 differential genera between the Lin and other groups. The functional prediction analysis showed that microbial function within each group was similar, but there was a big difference between the intestinal tracts and the non-intestinal group. Notably, the function of microorganism in uterus and mouth were the most different from those in the gastrointestinal sites; rabbit’s coprophagy of consuming soft feces possibly resulted in little differences of microbial function between stomach and large intestinal sites. Conclusion Our findings improve the knowledge about rabbit microbial communities throughout whole body and give insights into the relationship of microbial communities among different body sites in health rabbits.


2019 ◽  
Author(s):  
Florencia Tettamanti Boshier ◽  
Sujatha Srinivasan ◽  
Anthony Lopez ◽  
Noah G. Hoffman ◽  
Sean Proll ◽  
...  

Whereas 16S rRNA gene amplicon sequencing quantifies relative abundances of bacterial taxa, variation in total bacterial load between samples restricts its ability to reflect absolute concentration of individual species. Quantitative PCR (qPCR) can quantify individual species, but it is not practical to develop a suite of qPCR assays for every bacterium present in a diverse sample. We analyzed 1320 samples from 20 women with a history of frequent bacterial vaginosis, who self-collected vaginal swabs daily over 60 days. We inferred bacterial concentrations by taking the product of species relative abundance (assessed by 16S rRNA gene amplicon sequencing) and total bacterial load (measured by broad-range 16S rRNA gene qPCR). Log10-converted inferred concentrations correlated with targeted qPCR (r = 0. 935, p<2.2e-16) for seven key bacterial species. The mean inferred concentration error varied across bacteria, with rarer bacterial vaginosis-associated bacteria associated with larger errors. 92% of errors >0.5 log10 occurred when relative abundance was <10%. Many errors occurred during early bacterial expansion or late contraction. When relative abundance of a species is >10%, inferred concentrations are reliable proxies for targeted qPCR. However, targeted qPCR is required to capture bacteria at low relative abundance, particularly with BV-associated bacteria during the early onset of bacterial vaginosis.


2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 226-227
Author(s):  
Lucas Koester ◽  
Mark Lyte ◽  
Stephan Schmitz-Esser ◽  
Heather Allen

Abstract Rumen content (RC) stratifies based on particle size and density consisting of the less dense forage within the dorsal and the denser particles in the ventral portions of the rumen and is in constant contact with the microbial communities present on the rumen wall (RW) epithelium. Little is known about the nutrient requirements and functional processes of RW microbial communities. Our hypothesis is that the RW microbial communities stratify mirroring the stratification of RC due to different available nutrients. Five fistulated, milking Holstein cows of the same management conditions were sampled at four rumen layers corresponding to the RC stratification. Epithelial biopsies were taken through the fistula; the uppermost aligned with the dorsal portion of the RC (A), and three other sites, each 10 cm ventral to the previous (B, C and D). Each cow and stratification layer was sampled five times over four months to analyze temporal stability of the RW microbial communities. DNA was extracted using the Qiagen Powerlyzer Powersoil kit and used for 16S rRNA gene Illumina MiSeq sequencing. Sequences were clustered into operational taxonomic units (OTU) based on a 99% similarity cutoff using MOTHUR. After quality control, 2.0 million reads remained for 90 samples which were clustered into 5,016 OTUs with 10 or more reads. 99.2% of the reads were bacterial, whereas 0.8% affiliated to Archaea. Statistical analysis revealed that among the 20 most abundant OTUs, phylotypes classified as Desulfobulbus, unclassified_Cardiobacteraceae, Mogibacterium, Lachnospiraceae-UCG008 and Methanobrevibacter were significantly different in abundance between sites A compared to D. On a whole community level, analysis of molecular variance (AMOVA) revealed significant differences between groups A, C and D. Our data reveal first evidence that a stratification of RW microbiota is present in dairy cattle and also reveal high temporal stability of RW microbiota.


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