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The PeptideAtlas of a widely cultivated fish Labeo rohita: A resource for the Aquaculture Community

Labeo rohita (Rohu) is one of the most important fish species produced in world aquaculture. Integrative omics research provides a strong platform to understand the basic biology and translate this knowledge into sustainable solutions in tackling disease outbreak, increasing productivity and ensurin...

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Autores principales: Nissa, Mehar Un, Reddy, Panga Jaipal, Pinto, Nevil, Sun, Zhi, Ghosh, Biplab, Moritz, Robert L., Goswami, Mukunda, Srivastava, Sanjeeva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008064/
https://www.ncbi.nlm.nih.gov/pubmed/35418183
http://dx.doi.org/10.1038/s41597-022-01259-9
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author Nissa, Mehar Un
Reddy, Panga Jaipal
Pinto, Nevil
Sun, Zhi
Ghosh, Biplab
Moritz, Robert L.
Goswami, Mukunda
Srivastava, Sanjeeva
author_facet Nissa, Mehar Un
Reddy, Panga Jaipal
Pinto, Nevil
Sun, Zhi
Ghosh, Biplab
Moritz, Robert L.
Goswami, Mukunda
Srivastava, Sanjeeva
author_sort Nissa, Mehar Un
collection PubMed
description Labeo rohita (Rohu) is one of the most important fish species produced in world aquaculture. Integrative omics research provides a strong platform to understand the basic biology and translate this knowledge into sustainable solutions in tackling disease outbreak, increasing productivity and ensuring food security. Mass spectrometry-based proteomics has provided insights to understand the biology in a new direction. Very little proteomics work has been done on ‘Rohu’ limiting such resources for the aquaculture community. Here, we utilised an extensive mass spectrometry based proteomic profiling data of 17 histologically normal tissues, plasma and embryo of Rohu to develop an open source PeptideAtlas. The current build of “Rohu PeptideAtlas” has mass-spectrometric evidence for 6015 high confidence canonical proteins at 1% false discovery rate, 2.9 million PSMs and ~150 thousand peptides. This is the first open-source proteomics repository for an aquaculture species. The ‘Rohu PeptideAtlas’ would promote basic and applied aquaculture research to address the most critical challenge of ensuring nutritional security for a growing population.
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spelling pubmed-90080642022-04-28 The PeptideAtlas of a widely cultivated fish Labeo rohita: A resource for the Aquaculture Community Nissa, Mehar Un Reddy, Panga Jaipal Pinto, Nevil Sun, Zhi Ghosh, Biplab Moritz, Robert L. Goswami, Mukunda Srivastava, Sanjeeva Sci Data Data Descriptor Labeo rohita (Rohu) is one of the most important fish species produced in world aquaculture. Integrative omics research provides a strong platform to understand the basic biology and translate this knowledge into sustainable solutions in tackling disease outbreak, increasing productivity and ensuring food security. Mass spectrometry-based proteomics has provided insights to understand the biology in a new direction. Very little proteomics work has been done on ‘Rohu’ limiting such resources for the aquaculture community. Here, we utilised an extensive mass spectrometry based proteomic profiling data of 17 histologically normal tissues, plasma and embryo of Rohu to develop an open source PeptideAtlas. The current build of “Rohu PeptideAtlas” has mass-spectrometric evidence for 6015 high confidence canonical proteins at 1% false discovery rate, 2.9 million PSMs and ~150 thousand peptides. This is the first open-source proteomics repository for an aquaculture species. The ‘Rohu PeptideAtlas’ would promote basic and applied aquaculture research to address the most critical challenge of ensuring nutritional security for a growing population. Nature Publishing Group UK 2022-04-13 /pmc/articles/PMC9008064/ /pubmed/35418183 http://dx.doi.org/10.1038/s41597-022-01259-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Nissa, Mehar Un
Reddy, Panga Jaipal
Pinto, Nevil
Sun, Zhi
Ghosh, Biplab
Moritz, Robert L.
Goswami, Mukunda
Srivastava, Sanjeeva
The PeptideAtlas of a widely cultivated fish Labeo rohita: A resource for the Aquaculture Community
title The PeptideAtlas of a widely cultivated fish Labeo rohita: A resource for the Aquaculture Community
title_full The PeptideAtlas of a widely cultivated fish Labeo rohita: A resource for the Aquaculture Community
title_fullStr The PeptideAtlas of a widely cultivated fish Labeo rohita: A resource for the Aquaculture Community
title_full_unstemmed The PeptideAtlas of a widely cultivated fish Labeo rohita: A resource for the Aquaculture Community
title_short The PeptideAtlas of a widely cultivated fish Labeo rohita: A resource for the Aquaculture Community
title_sort peptideatlas of a widely cultivated fish labeo rohita: a resource for the aquaculture community
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008064/
https://www.ncbi.nlm.nih.gov/pubmed/35418183
http://dx.doi.org/10.1038/s41597-022-01259-9
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