ArticleMicroorganisms2020
Doing More with Less: A Comparison of 16S Hypervariable Regions in Search of Defining the Shrimp Microbiota.
Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.
- Effects of GLP-1 agonists on the gut microbiota in type 2 diabetes mellitus: a systematic review.The FEBS journal · 2026Pooled it
- Gut check: Exploring tools, techniques, and future directions in microbiome research.Poultry science · 2026Article
- Trichoderma combined with palm kernel shell biochar promotes root health and rhizosphere biodiversity in young oil palm seedlings infected withFrontiers in microbiomes · 2026Article
- [Comparison of 16S rRNA gene hypervariable regions V3-V4 and V4 sequencing results of gut microbiota in obese children with non-alcoholic fatty liver disease].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Diversity of necrophagous flies and microbiome profiling of Phumosia promittens as a rainforest health indicator.AMB Express · 2025Article
- Emergence of decapod hepanhamaparvovirus genotype V and its co-infection withVeterinary world · 2025Article
- Potential Bacterial Biomarkers Associated withMicroorganisms · 2025Article
- Postlarval Shrimp-Associated Microbiota and Underlying Ecological Processes over AHPND Progression.Microorganisms · 2025Article
- Warming-driven migration of enterotypes mediates host health and disease statuses in ectotherm Litopenaeus vannamei.Communications biology · 2025Article
- Human-derived fecal virome transplantation (FVT) reshapes the murine gut microbiota and virome, enhancing glucose regulation.PloS one · 2025Article
- Influenza a virus subtype H9N2 infection induces respiratory microbiota dysbiosis in chickens via type-I interferon-mediated mechanisms.FEMS microbes · 2025Article
- Alterations in Gut Microbiota Composition Are Associated with Changes in Emotional Distress in Children with Obstructive Sleep Apnea.Microorganisms · 2024Article
- Effect of the 16S rRNA Gene Hypervariable Region on the Microbiome Taxonomic Profile and Diversity in the Endangered FishMicroorganisms · 2024Article
- The hepatopancreas microbiome of velvet crab, Necora puber.Environmental microbiology reports · 2024Article
- Low salinity stress increases the risk of Vibrio parahaemolyticus infection and gut microbiota dysbiosis in Pacific white shrimp.BMC microbiology · 2024Article
- Article
- Acute Ammonia Causes Pathogenic Dysbiosis of Shrimp Gut Biofilms.International journal of molecular sciences · 2024Article
- The effects of clays on bacterial community composition during arthropod decay.Swiss journal of palaeontology · 2024Article
- Bacterial community profiling and identification of bacteria with lignin-degrading potential in different gut segments of African palm weevil larvae (Frontiers in microbiology · 2024Article
- Microbiota and Cyanotoxin Content of Retail Spirulina Supplements and Spirulina Supplemented Foods.Microorganisms · 2023Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
The shrimp has become the most valuable traded marine product in the world, and its microbiota plays an essential role in its development and overall health status. Massive high-throughput sequencing techniques using several hypervariable regions of the 16S rRNA gene are broadly applied in shrimp microbiota studies. However, it is essential to consider that the use of different hypervariable regions can influence the obtained data and the interpretation of the results. The present study compares the shrimp microbiota structure and composition obtained by three types of amplicons: one spanning both the V3 and V4 hypervariable regions (V3V4), one for the V3 region only (V3), and one for the V4 region only (V4) using the same experimental and bioinformatics protocols. Twenty-four samples from hepatopancreas and intestine were sequenced and evaluated using the GreenGenes and silva reference databases for clustering and taxonomic classification. In general, the V3V4 regions resulted in higher richness and diversity, followed by V3 and V4. All three regions establish an apparent clustering effect that discriminates between the two analyzed organs and describe a higher richness for the intestine and a higher diversity for the hepatopancreas samples. Proteobacteria was the most abundant phyla overall, and Cyanobacteria was more common in the intestine, whereas Firmicutes and Actinobacteria were more prevalent in hepatopancreas samples. Also, the genus
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