Dysbiosis of the shrimp ( Penaeus monodon ) gut microbiome with AHPND outbreaks revealed by 16S rRNA metagenomics analysis

2021 ◽  
Author(s):  
Md. Shahdat Hossain ◽  
Jingcheng Dai ◽  
Dongru Qiu
2020 ◽  
Author(s):  
Blake W. Stamps ◽  
Wanda J. Lyon ◽  
Adam P. Irvin ◽  
Nancy Kelley-Loughnane ◽  
Michael S. Goodson

AbstractTraveler’s diarrhea (TD) is a recurrent and significant issue for many travelers including the military. While many known enteric pathogens exist that are causative agents of diarrhea, our gut microbiome may also play a role in travelers’ diarrhea susceptibility. To this end we conducted a pilot study of the microbiome of warfighters prior to- and after deployment overseas to identify marker taxa relevant to traveler’s diarrhea. This initial study utilized full-length 16S rRNA gene sequencing to provide additional taxonomic resolution towards identifying predictive taxa.16S rRNA analyses of pre- and post-deployment fecal samples identified multiple marker taxa as significantly differentially abundant in subjects that reported diarrhea, including Weissella, Butyrivibrio, Corynebacterium, uncultivated Erysipelotrichaceae, Jeotgallibaca, unclassified Ktedonobacteriaceae, Leptolinea, and uncultivated Ruminiococcaceae. The ability to identify TD risk prior to travel will inform prevention and mitigation strategies to influence diarrhea susceptibility while traveling.


Microbiome ◽  
2022 ◽  
Vol 10 (1) ◽  
Author(s):  
Rishi Chanderraj ◽  
Christopher A. Brown ◽  
Kevin Hinkle ◽  
Nicole Falkowski ◽  
Robert J. Woods ◽  
...  

Abstract Background In ecology, population density is a key feature of community analysis. Yet in studies of the gut microbiome, bacterial density is rarely reported. Studies of hospitalized patients commonly use rectal swabs for microbiome analysis, yet variation in their bacterial density—and the clinical and methodologic significance of this variation—remains undetermined. We used an ultra-sensitive quantification approach—droplet digital PCR (ddPCR)—to quantify bacterial density in rectal swabs from 118 hospitalized patients. We compared bacterial density with bacterial community composition (via 16S rRNA amplicon sequencing) and clinical data to determine if variation in bacterial density has methodological, clinical, and prognostic significance. Results Bacterial density in rectal swab specimens was highly variable, spanning five orders of magnitude (1.2 × 104–3.2 × 109 16S rRNA gene copies/sample). Low bacterial density was strongly correlated with the detection of sequencing contamination (Spearman ρ = − 0.95, p < 10−16). Low-density rectal swab communities were dominated by peri-rectal skin bacteria and sequencing contaminants (p < 0.01), suggesting that some variation in bacterial density is explained by sampling variation. Yet bacterial density was also associated with important clinical exposures, conditions, and outcomes. Bacterial density was lower among patients who had received piperacillin-tazobactam (p = 0.017) and increased among patients with multiple medical comorbidities (Charlson score, p = 0.0040) and advanced age (p = 0.043). Bacterial density at the time of hospital admission was independently associated with subsequent extraintestinal infection (p = 0.0028), even when controlled for severity of illness and comorbidities. Conclusions The bacterial density of rectal swabs is highly variable, and this variability is of methodological, clinical, and prognostic significance. Microbiome studies using rectal swabs are vulnerable to sequencing contamination and should include appropriate negative sequencing controls. Among hospitalized patients, gut bacterial density is associated with clinical exposures (antibiotics, comorbidities) and independently predicts infection risk. Bacterial density is an important and under-studied feature of gut microbiome community analysis.


2020 ◽  
Author(s):  
Caroline Ivanne Le Roy ◽  
Alexander Kurilshikov ◽  
Emily Leeming ◽  
Alessia Visconti ◽  
Ruth Bowyer ◽  
...  

Abstract Background: Yoghurt contains live bacteria that could contribute via modulation of the gut microbiota to its reported beneficial effects such as reduced body weight gain and lower incidence of type 2 diabetes. To date, the association between yoghurt consumption and the composition of the gut microbiota is underexplored. Here we used clinical variables, metabolomics, 16S rRNA and shotgun metagenomic sequencing data collected on over 1000 predominantly female UK twins to define the link between the gut microbiota and yoghurt-associated health benefits. Results: According to food frequency questionnaires (FFQ), 73% of subjects consumed yoghurt. Consumers presented a healthier diet pattern (healthy eating index: beta = 2.17±0.34; P = 2.72x10-10) and improved metabolic health characterised by reduced visceral fat (beta = -28.18±11.71 g; P = 0.01). According to 16S rRNA gene analyses and whole shotgun metagenomic sequencing approach consistent taxonomic variations were observed with yoghurt consumption. More specifically, we identified higher abundance of species used as yoghurt starters Streptococcus thermophilus (beta = 0.41±0.051; P = 6.14x10-12) and sometimes added Bifidobacterium animalis subsp. lactis (beta = 0.30±0.052; P = 1.49x10-8) in the gut of yoghurt consumers. Replication in 1103 volunteers from the LifeLines-DEEP cohort confirmed the increase of S. thermophilus among yoghurt consumers. Using food records collected the day prior to faecal sampling we showed that increase in these two yoghurt bacteria could be transient. Metabolomics analysis revealed that B. animalis subsp. lactis was associated with 13 faecal metabolites including a 3-hydroxyoctanoic acid, known to be involved in the regulation of gut inflammation.Conclusions: Yoghurt consumption is associated with reduced visceral fat mass and changes in gut microbiome including transient increase of yoghurt-contained species (i.e. S. thermophilus and B. lactis).


2016 ◽  
Vol 218 ◽  
pp. 923-930 ◽  
Author(s):  
Keng-Po Lai ◽  
Yan-Tung Chung ◽  
Rong Li ◽  
Hin-Ting Wan ◽  
Chris Kong-Chu Wong

2021 ◽  
Vol 11 ◽  
Author(s):  
Yujie Hou ◽  
Xiong Zhang ◽  
Qinyan Zhou ◽  
Wenxing Hong ◽  
Ying Wang

Matching 16S rRNA gene sequencing data to a metabolic reference database is a meaningful way to predict the metabolic function of bacteria and archaea, bringing greater insight to the working of the microbial community. However, some operational taxonomy units (OTUs) cannot be functionally profiled, especially for microbial communities from non-human samples cultured in defective media. Therefore, we herein report the development of Hierarchical micrObial functions Prediction by graph aggregated Embedding (HOPE), which utilizes co-occurring patterns and nucleotide sequences to predict microbial functions. HOPE integrates topological structures of microbial co-occurrence networks with k-mer compositions of OTU sequences and embeds them into a lower-dimensional continuous latent space, while maximally preserving topological relationships among OTUs. The high imbalance among KEGG Orthology (KO) functions of microbes is recognized in our framework that usually yields poor performance. A hierarchical multitask learning module is used in HOPE to alleviate the challenge brought by the long-tailed distribution among classes. To test the performance of HOPE, we compare it with HOPE-one, HOPE-seq, and GraphSAGE, respectively, in three microbial metagenomic 16s rRNA sequencing datasets, including abalone gut, human gut, and gut of Penaeus monodon. Experiments demonstrate that HOPE outperforms baselines on almost all indexes in all experiments. Furthermore, HOPE reveals significant generalization ability. HOPE's basic idea is suitable for other related scenarios, such as the prediction of gene function based on gene co-expression networks. The source code of HOPE is freely available at https://github.com/adrift00/HOPE.


PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0212474 ◽  
Author(s):  
Daniel E. Almonacid ◽  
Laurens Kraal ◽  
Francisco J. Ossandon ◽  
Yelena V. Budovskaya ◽  
Juan Pablo Cardenas ◽  
...  

2014 ◽  
Vol 99 (6) ◽  
pp. 2871-2881 ◽  
Author(s):  
Chuan Yi Tang ◽  
Siu-Ming Yiu ◽  
Han-Yueh Kuo ◽  
Te-Sheng Tan ◽  
Ki-Hok Liao ◽  
...  

Science ◽  
2016 ◽  
Vol 352 (6285) ◽  
pp. 565-569 ◽  
Author(s):  
Alexandra Zhernakova ◽  
Alexander Kurilshikov ◽  
Marc Jan Bonder ◽  
Ettje F. Tigchelaar ◽  
Melanie Schirmer ◽  
...  

2018 ◽  
Vol 16 (3) ◽  
pp. 543-551
Author(s):  
Tran Trung Thanh ◽  
Nathan Bott ◽  
Le Hoang Duc ◽  
Dang Thi Hoang Oanh ◽  
Nguyen Trung Nam ◽  
...  

Gut bacteria comprise a complex bacterial community related to many functions in a host. The stability of gut bacteria plays important models in the health and immunology of a host. Many studies on intestine bacteria constructed via cultivation and Denaturation Gradient Gel Electrophoresis (DDGE) methods have proved a limited efficiency. In order to tackle these drawbacks, the next generation sequencing method was developed on 16S-rRNA-based sequences (Metabarcoding). The composition of bacterial communities was revealed based on the analysis of 16S rRNA sequences of intestine bacteria in Litopenaeus vannamei ponds in comparison with microbial communities in a Penaeus monodon pond and a muscle of shrimp. These results showed that the dominant phyla of intestine bacteria in Litopenaeus vannamei were Proteobacteria (49.3–57.4%), Firmicutes (15.6–34.4%) and Bacteroidetes (0.1–16.9%). Rhizobium(0.4%-26.1%), Vibrio(0–23.9%) and Spongiimonas(0–16,7%) were dominant genera in Litopenaeus vannamei gut. A higher proportion of Fusobacterium (10%), a shrimp pathogen group, was found in a disease shrimp pond (ST4) in comparison with a low growth shrimp pond (ST3) (0%) and a healthy shrimp pond (ST1) (0.6%). Vibrio was marked as shrimp pathogen genus accounted for 22.3% of total genera in ST4 in comparison with 2.4% in ST3 and 3.5% in ST1. Interestingly, a higher percentage of Vibrio rotiferianus (7.98%) was found in ST4 compared to ST3 (1%) and ST1 (0%). Fusobacterium and Vibrio will be the objects for the next experiments to discover shrimp pathogens specifically.


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