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Understanding Omics Driven Plant Improvement and de novo Crop Domestication: Some Examples
In the current era, one of biggest challenges is to shorten the breeding cycle for rapid generation of a new crop variety having high yield capacity, disease resistance, high nutrient content, etc. Advances in the “-omics” technology have revolutionized the discovery of genes and bio-molecules with...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055929/ https://www.ncbi.nlm.nih.gov/pubmed/33889179 http://dx.doi.org/10.3389/fgene.2021.637141 |
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author | Kumar, Rakesh Sharma, Vinay Suresh, Srinivas Ramrao, Devade Pandurang Veershetty, Akash Kumar, Sharan Priscilla, Kagolla Hangargi, BhagyaShree Narasanna, Rahul Pandey, Manish Kumar Naik, Gajanana Ramachandra Thomas, Sherinmol Kumar, Anirudh |
author_facet | Kumar, Rakesh Sharma, Vinay Suresh, Srinivas Ramrao, Devade Pandurang Veershetty, Akash Kumar, Sharan Priscilla, Kagolla Hangargi, BhagyaShree Narasanna, Rahul Pandey, Manish Kumar Naik, Gajanana Ramachandra Thomas, Sherinmol Kumar, Anirudh |
author_sort | Kumar, Rakesh |
collection | PubMed |
description | In the current era, one of biggest challenges is to shorten the breeding cycle for rapid generation of a new crop variety having high yield capacity, disease resistance, high nutrient content, etc. Advances in the “-omics” technology have revolutionized the discovery of genes and bio-molecules with remarkable precision, resulting in significant development of plant-focused metabolic databases and resources. Metabolomics has been widely used in several model plants and crop species to examine metabolic drift and changes in metabolic composition during various developmental stages and in response to stimuli. Over the last few decades, these efforts have resulted in a significantly improved understanding of the metabolic pathways of plants through identification of several unknown intermediates. This has assisted in developing several new metabolically engineered important crops with desirable agronomic traits, and has facilitated the de novo domestication of new crops for sustainable agriculture and food security. In this review, we discuss how “omics” technologies, particularly metabolomics, has enhanced our understanding of important traits and allowed speedy domestication of novel crop plants. |
format | Online Article Text |
id | pubmed-8055929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80559292021-04-21 Understanding Omics Driven Plant Improvement and de novo Crop Domestication: Some Examples Kumar, Rakesh Sharma, Vinay Suresh, Srinivas Ramrao, Devade Pandurang Veershetty, Akash Kumar, Sharan Priscilla, Kagolla Hangargi, BhagyaShree Narasanna, Rahul Pandey, Manish Kumar Naik, Gajanana Ramachandra Thomas, Sherinmol Kumar, Anirudh Front Genet Genetics In the current era, one of biggest challenges is to shorten the breeding cycle for rapid generation of a new crop variety having high yield capacity, disease resistance, high nutrient content, etc. Advances in the “-omics” technology have revolutionized the discovery of genes and bio-molecules with remarkable precision, resulting in significant development of plant-focused metabolic databases and resources. Metabolomics has been widely used in several model plants and crop species to examine metabolic drift and changes in metabolic composition during various developmental stages and in response to stimuli. Over the last few decades, these efforts have resulted in a significantly improved understanding of the metabolic pathways of plants through identification of several unknown intermediates. This has assisted in developing several new metabolically engineered important crops with desirable agronomic traits, and has facilitated the de novo domestication of new crops for sustainable agriculture and food security. In this review, we discuss how “omics” technologies, particularly metabolomics, has enhanced our understanding of important traits and allowed speedy domestication of novel crop plants. Frontiers Media S.A. 2021-04-06 /pmc/articles/PMC8055929/ /pubmed/33889179 http://dx.doi.org/10.3389/fgene.2021.637141 Text en Copyright © 2021 Kumar, Sharma, Suresh, Ramrao, Veershetty, Kumar, Priscilla, Hangargi, Narasanna, Pandey, Naik, Thomas and Kumar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Kumar, Rakesh Sharma, Vinay Suresh, Srinivas Ramrao, Devade Pandurang Veershetty, Akash Kumar, Sharan Priscilla, Kagolla Hangargi, BhagyaShree Narasanna, Rahul Pandey, Manish Kumar Naik, Gajanana Ramachandra Thomas, Sherinmol Kumar, Anirudh Understanding Omics Driven Plant Improvement and de novo Crop Domestication: Some Examples |
title | Understanding Omics Driven Plant Improvement and de novo Crop Domestication: Some Examples |
title_full | Understanding Omics Driven Plant Improvement and de novo Crop Domestication: Some Examples |
title_fullStr | Understanding Omics Driven Plant Improvement and de novo Crop Domestication: Some Examples |
title_full_unstemmed | Understanding Omics Driven Plant Improvement and de novo Crop Domestication: Some Examples |
title_short | Understanding Omics Driven Plant Improvement and de novo Crop Domestication: Some Examples |
title_sort | understanding omics driven plant improvement and de novo crop domestication: some examples |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055929/ https://www.ncbi.nlm.nih.gov/pubmed/33889179 http://dx.doi.org/10.3389/fgene.2021.637141 |
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