Abstract
Vietnam is one of the top shrimp producing and exporting countries in the world [1]. However, viral and bacterial epidemic diseases cause severe damages to shrimp farming, resulting in millions of US dollars losses annually [2]. Furthermore, inappropriate use of antibiotics in shrimp rearing lead to increased emergence of drug resistant pathogens [3]. Current practices for water quality control, mostly based on chemical and physical parameters; neglected biological criteria necessary for maintaining pond health.Ninh Thuan is a region situated in the South Central Coast of Vietnam. Due to its geographic location, a large part of this region is dedicated to shrimp (Litopenaeus vannamei) post-larvae production and rearing. This article presents a microbiome dataset from two water samples collected in a shrimp rearing pond in Ninh Thuan. We used Oxford Nanopore Technologies (ONT) for metagenomic sequencing of the samples to characterize microbial communities and antibiotic resistance profiles. The metagenome dataset generated will provide an understanding and comparison framework of the microbial diversity and functionality among shrimp ponds with potential application in health management and shrimp rearing industry.
Highlights
Lan-Anh Le a, Thien-Phuc Nguyen-Hoang b, Van-Phuc Huynh a, Tan-Huy Nguyen a, Thuy-Vy Nguyen b, Thuy-Duong Ho-Huynh a,b,c,∗
Ninh Thuan is a region situated in the South Central Coast of Vietnam
This article presents a microbiome dataset from two water samples collected in a shrimp rearing pond in Ninh Thuan
Summary
Applied Microbiology and Biotechnology Metagenomics Figures and Fastq files MinION (ONT) Raw and analyzed Water samples collected from a shrimp pond at 0.3-m depth Total DNA was extracted from water samples, and shotgun metagenomic sequencing was performed using ONT MinION platform Village/Town/City: Phuoc Dinh, Thuan Nam, Ninh Thuan Country: Vietnam Latitude and longtitude coordinates for collected samples: 11°24 46.6"N, 108°58 19.0"E and 11°24 46.4"N, 108°58 17.0"E Data is available at the NCBI with Bioproject PRJNA552940 and SRA accession numbers SRR9648445 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?run=SRR9648445) and SRR9648446 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?run=SRR9648446). The analysis revealed an insight of microbiome present in water of a shrimp rearing pond in Vietnam. Data obtained from this article provided the scientific community with microbial taxonomic profiles and functional characteristics of a shrimp pond using metagenomics. Data can be used for the comparison of taxonomic and functional profiles among shrimp ponds with different geographic distribution. Data can serve future analyses of the relationship between microorganism profiles of shrimp pond water and risks of disease outbreak as well as health threats due to antibiotic resistance genes spread
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