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Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Zea mays L.)
High-throughput sequencing technologies (HSTs) have revolutionized crop breeding. The advent of these technologies has enabled the identification of beneficial quantitative trait loci (QTL), genes, and alleles for crop improvement. Climate change have made a significant effect on the global maize yi...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538355/ https://www.ncbi.nlm.nih.gov/pubmed/36212378 http://dx.doi.org/10.3389/fpls.2022.965878 |
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author | Farooqi, Muhammad Qudrat Ullah Nawaz, Ghazala Wani, Shabir Hussain Choudhary, Jeet Ram Rana, Maneet Sah, Rameswar Prasad Afzal, Muhammad Zahra, Zahra Ganie, Showkat Ahmad Razzaq, Ali Reyes, Vincent Pamugas Mahmoud, Eman A. Elansary, Hosam O. El-Abedin, Tarek K. Zin Siddique, Kadambot H. M. |
author_facet | Farooqi, Muhammad Qudrat Ullah Nawaz, Ghazala Wani, Shabir Hussain Choudhary, Jeet Ram Rana, Maneet Sah, Rameswar Prasad Afzal, Muhammad Zahra, Zahra Ganie, Showkat Ahmad Razzaq, Ali Reyes, Vincent Pamugas Mahmoud, Eman A. Elansary, Hosam O. El-Abedin, Tarek K. Zin Siddique, Kadambot H. M. |
author_sort | Farooqi, Muhammad Qudrat Ullah |
collection | PubMed |
description | High-throughput sequencing technologies (HSTs) have revolutionized crop breeding. The advent of these technologies has enabled the identification of beneficial quantitative trait loci (QTL), genes, and alleles for crop improvement. Climate change have made a significant effect on the global maize yield. To date, the well-known omic approaches such as genomics, transcriptomics, proteomics, and metabolomics are being incorporated in maize breeding studies. These approaches have identified novel biological markers that are being utilized for maize improvement against various abiotic stresses. This review discusses the current information on the morpho-physiological and molecular mechanism of abiotic stress tolerance in maize. The utilization of omics approaches to improve abiotic stress tolerance in maize is highlighted. As compared to single approach, the integration of multi-omics offers a great potential in addressing the challenges of abiotic stresses of maize productivity. |
format | Online Article Text |
id | pubmed-9538355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95383552022-10-08 Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Zea mays L.) Farooqi, Muhammad Qudrat Ullah Nawaz, Ghazala Wani, Shabir Hussain Choudhary, Jeet Ram Rana, Maneet Sah, Rameswar Prasad Afzal, Muhammad Zahra, Zahra Ganie, Showkat Ahmad Razzaq, Ali Reyes, Vincent Pamugas Mahmoud, Eman A. Elansary, Hosam O. El-Abedin, Tarek K. Zin Siddique, Kadambot H. M. Front Plant Sci Plant Science High-throughput sequencing technologies (HSTs) have revolutionized crop breeding. The advent of these technologies has enabled the identification of beneficial quantitative trait loci (QTL), genes, and alleles for crop improvement. Climate change have made a significant effect on the global maize yield. To date, the well-known omic approaches such as genomics, transcriptomics, proteomics, and metabolomics are being incorporated in maize breeding studies. These approaches have identified novel biological markers that are being utilized for maize improvement against various abiotic stresses. This review discusses the current information on the morpho-physiological and molecular mechanism of abiotic stress tolerance in maize. The utilization of omics approaches to improve abiotic stress tolerance in maize is highlighted. As compared to single approach, the integration of multi-omics offers a great potential in addressing the challenges of abiotic stresses of maize productivity. Frontiers Media S.A. 2022-09-23 /pmc/articles/PMC9538355/ /pubmed/36212378 http://dx.doi.org/10.3389/fpls.2022.965878 Text en Copyright © 2022 Farooqi, Nawaz, Wani, Choudhary, Rana, Sah, Afzal, Zahra, Ganie, Razzaq, Reyes, Mahmoud, Elansary, El-Abedin and Siddique. 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 | Plant Science Farooqi, Muhammad Qudrat Ullah Nawaz, Ghazala Wani, Shabir Hussain Choudhary, Jeet Ram Rana, Maneet Sah, Rameswar Prasad Afzal, Muhammad Zahra, Zahra Ganie, Showkat Ahmad Razzaq, Ali Reyes, Vincent Pamugas Mahmoud, Eman A. Elansary, Hosam O. El-Abedin, Tarek K. Zin Siddique, Kadambot H. M. Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Zea mays L.) |
title | Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Zea mays L.) |
title_full | Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Zea mays L.) |
title_fullStr | Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Zea mays L.) |
title_full_unstemmed | Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Zea mays L.) |
title_short | Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Zea mays L.) |
title_sort | recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (zea mays l.) |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538355/ https://www.ncbi.nlm.nih.gov/pubmed/36212378 http://dx.doi.org/10.3389/fpls.2022.965878 |
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