Microbiome analyses of pacific white shrimp (Litopenaeus vannamei) collected from disparate geographical locations

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2015-12-01
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Du, Zhi-Qiang
Rothschild, Max
Severin, Andrew
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Rothschild, Max
Distinguished Professor Emeritus
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Severin, Andrew
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Seetharam, Arun
Research Scientist IV
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Animal Science

The Department of Animal Science originally concerned itself with teaching the selection, breeding, feeding and care of livestock. Today it continues this study of the symbiotic relationship between animals and humans, with practical focuses on agribusiness, science, and animal management.

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The Department of Animal Husbandry was established in 1898. The name of the department was changed to the Department of Animal Science in 1962. The Department of Poultry Science was merged into the department in 1971.

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Genome Informatics Facility
The Genome Informatics Facility serves as a centralized resource of expertise on the application of emerging sequencing technologies and open source software as applied to biological systems. Its mission is to integrate this knowledge into pipelines that are easy to understand and use by faculty, staff and students to enable the transformation of ‘big data’ into data that dramatically accelerates our understanding of biology and evolutionary processes.
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Animal ScienceGenome Informatics Facility
Abstract

In this study, the tail muscle microbiota of pacific white shrimp (Litopenaeus vannamei) sourced from five countries across Central and South America and Southeast Asia were determined and compared. The genomic DNA was sequenced at around 10 × coverage for each geographical location and was assembled de novo for comparative analysis. The assembled sequences for all the lines were classified based on their similarity to the sequences in the public database. We found that there is high correlation among the microbiota of shrimp from disparate regions, as well as the presence of some DNA from bacteria known to cause food poisoning in humans. Sequencing data has been deposited at NCBI-SRA database and can be found under the BioProject ID PRJNA282154.

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This article is from Genomics Data 6 (2015): 67–69, doi:10.1016/j.gdata.2015.08.009. Posted with permission.

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Thu Jan 01 00:00:00 UTC 2015
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