Entailing the Next-Generation Sequencing and Metabolome for Sustainable Agriculture by Improving Plant Tolerance
Autor: | Muhammad Furqan Ashraf, Dan Hou, Quaid Hussain, Muhammad Imran, Jialong Pei, Mohsin Ali, Aamar Shehzad, Muhammad Anwar, Ali Noman, Muhammad Waseem, Xinchun Lin |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Crops
Agricultural Food Safety QH301-705.5 sustainable crop production Review Catalysis Inorganic Chemistry Biology (General) Physical and Theoretical Chemistry next-generation sequencing (NGS) QD1-999 Molecular Biology genome Spectroscopy metabolites bamboo stress tolerance Organic Chemistry fungi food and beverages High-Throughput Nucleotide Sequencing General Medicine Genomics Sequence Analysis DNA metabolomics Computer Science Applications Chemistry genetic resources Plant Breeding Nutritive Value |
Zdroj: | International Journal of Molecular Sciences International Journal of Molecular Sciences, Vol 23, Iss 651, p 651 (2022) |
ISSN: | 1422-0067 |
Popis: | 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. |
Databáze: | OpenAIRE |
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