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Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance

Crop production is a serious challenge to provide food for the 10 billion individuals forecasted to live across the globe in 2050. The scientists’ emphasize establishing an equilibrium among diversity and quality of crops by enhancing yield to fulfill the increasing demand for food supply sustainabl...

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Autores principales: Ashraf, Muhammad Furqan, Hou, Dan, Hussain, Quaid, Imran, Muhammad, Pei, Jialong, Ali, Mohsin, Shehzad, Aamar, Anwar, Muhammad, Noman, Ali, Waseem, Muhammad, Lin, Xinchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775971/
https://www.ncbi.nlm.nih.gov/pubmed/35054836
http://dx.doi.org/10.3390/ijms23020651
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author Ashraf, Muhammad Furqan
Hou, Dan
Hussain, Quaid
Imran, Muhammad
Pei, Jialong
Ali, Mohsin
Shehzad, Aamar
Anwar, Muhammad
Noman, Ali
Waseem, Muhammad
Lin, Xinchun
author_facet Ashraf, Muhammad Furqan
Hou, Dan
Hussain, Quaid
Imran, Muhammad
Pei, Jialong
Ali, Mohsin
Shehzad, Aamar
Anwar, Muhammad
Noman, Ali
Waseem, Muhammad
Lin, Xinchun
author_sort Ashraf, Muhammad Furqan
collection PubMed
description Crop production is a serious challenge to provide food for the 10 billion individuals forecasted to live across the globe in 2050. The scientists’ emphasize establishing an equilibrium among diversity and quality of crops by enhancing yield to fulfill the increasing demand for food supply sustainably. The exploitation of genetic resources using genomics and metabolomics strategies can help generate resilient plants against stressors in the future. The innovation of the next-generation sequencing (NGS) strategies laid the foundation to unveil various plants’ genetic potential and help us to understand the domestication process to unmask the genetic potential among wild-type plants to utilize for crop improvement. Nowadays, NGS is generating massive genomic resources using wild-type and domesticated plants grown under normal and harsh environments to explore the stress regulatory factors and determine the key metabolites. Improved food nutritional value is also the key to eradicating malnutrition problems around the globe, which could be attained by employing the knowledge gained through NGS and metabolomics to achieve suitability in crop yield. Advanced technologies can further enhance our understanding in defining the strategy to obtain a specific phenotype of a crop. Integration among bioinformatic tools and molecular techniques, such as marker-assisted, QTLs mapping, creation of reference genome, de novo genome assembly, pan- and/or super-pan-genomes, etc., will boost breeding programs. The current article provides sequential progress in NGS technologies, a broad application of NGS, enhancement of genetic manipulation resources, and understanding the crop response to stress by producing plant metabolites. The NGS and metabolomics utilization in generating stress-tolerant plants/crops without deteriorating a natural ecosystem is considered a sustainable way to improve agriculture production. This highlighted knowledge also provides useful research that explores the suitable resources for agriculture sustainability.
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spelling pubmed-87759712022-01-21 Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance Ashraf, Muhammad Furqan Hou, Dan Hussain, Quaid Imran, Muhammad Pei, Jialong Ali, Mohsin Shehzad, Aamar Anwar, Muhammad Noman, Ali Waseem, Muhammad Lin, Xinchun Int J Mol Sci Review Crop production is a serious challenge to provide food for the 10 billion individuals forecasted to live across the globe in 2050. The scientists’ emphasize establishing an equilibrium among diversity and quality of crops by enhancing yield to fulfill the increasing demand for food supply sustainably. The exploitation of genetic resources using genomics and metabolomics strategies can help generate resilient plants against stressors in the future. The innovation of the next-generation sequencing (NGS) strategies laid the foundation to unveil various plants’ genetic potential and help us to understand the domestication process to unmask the genetic potential among wild-type plants to utilize for crop improvement. Nowadays, NGS is generating massive genomic resources using wild-type and domesticated plants grown under normal and harsh environments to explore the stress regulatory factors and determine the key metabolites. Improved food nutritional value is also the key to eradicating malnutrition problems around the globe, which could be attained by employing the knowledge gained through NGS and metabolomics to achieve suitability in crop yield. Advanced technologies can further enhance our understanding in defining the strategy to obtain a specific phenotype of a crop. Integration among bioinformatic tools and molecular techniques, such as marker-assisted, QTLs mapping, creation of reference genome, de novo genome assembly, pan- and/or super-pan-genomes, etc., will boost breeding programs. The current article provides sequential progress in NGS technologies, a broad application of NGS, enhancement of genetic manipulation resources, and understanding the crop response to stress by producing plant metabolites. The NGS and metabolomics utilization in generating stress-tolerant plants/crops without deteriorating a natural ecosystem is considered a sustainable way to improve agriculture production. This highlighted knowledge also provides useful research that explores the suitable resources for agriculture sustainability. MDPI 2022-01-07 /pmc/articles/PMC8775971/ /pubmed/35054836 http://dx.doi.org/10.3390/ijms23020651 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ashraf, Muhammad Furqan
Hou, Dan
Hussain, Quaid
Imran, Muhammad
Pei, Jialong
Ali, Mohsin
Shehzad, Aamar
Anwar, Muhammad
Noman, Ali
Waseem, Muhammad
Lin, Xinchun
Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance
title Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance
title_full Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance
title_fullStr Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance
title_full_unstemmed Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance
title_short Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance
title_sort entailing the next-generation sequencing and metabolome for sustainable agriculture by improving plant tolerance
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775971/
https://www.ncbi.nlm.nih.gov/pubmed/35054836
http://dx.doi.org/10.3390/ijms23020651
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