Arid
DOI10.3390/genes12050783
Harnessing Crop Wild Diversity for Climate Change Adaptation
Cortes, Andres J.; Lopez-Hernandez, Felipe
通讯作者Cortes, AJ (corresponding author), Corp Colombiana Invest Agr AGROSAVIA, Km 7 Via Rionegro, Rionegro 054048, Colombia. ; Cortes, AJ (corresponding author), Univ Nacl Colombia, Fac Ciencias Agr, Dept Ciencias Forestales, Sede Medellin, Medellin 050034, Colombia.
来源期刊GENES
EISSN2073-4425
出版年2021
卷号12期号:5
英文摘要Warming and drought are reducing global crop production with a potential to substantially worsen global malnutrition. As with the green revolution in the last century, plant genetics may offer concrete opportunities to increase yield and crop adaptability. However, the rate at which the threat is happening requires powering new strategies in order to meet the global food demand. In this review, we highlight major recent 'big data' developments from both empirical and theoretical genomics that may speed up the identification, conservation, and breeding of exotic and elite crop varieties with the potential to feed humans. We first emphasize the major bottlenecks to capture and utilize novel sources of variation in abiotic stress (i.e., heat and drought) tolerance. We argue that adaptation of crop wild relatives to dry environments could be informative on how plant phenotypes may react to a drier climate because natural selection has already tested more options than humans ever will. Because isolated pockets of cryptic diversity may still persist in remote semi-arid regions, we encourage new habitat-based population-guided collections for genebanks. We continue discussing how to systematically study abiotic stress tolerance in these crop collections of wild and landraces using geo-referencing and extensive environmental data. By uncovering the genes that underlie the tolerance adaptive trait, natural variation has the potential to be introgressed into elite cultivars. However, unlocking adaptive genetic variation hidden in related wild species and early landraces remains a major challenge for complex traits that, as abiotic stress tolerance, are polygenic (i.e., regulated by many low-effect genes). Therefore, we finish prospecting modern analytical approaches that will serve to overcome this issue. Concretely, genomic prediction, machine learning, and multi-trait gene editing, all offer innovative alternatives to speed up more accurate pre- and breeding efforts toward the increase in crop adaptability and yield, while matching future global food demands in the face of increased heat and drought. In order for these 'big data' approaches to succeed, we advocate for a trans-disciplinary approach with open-source data and long-term funding. The recent developments and perspectives discussed throughout this review ultimately aim to contribute to increased crop adaptability and yield in the face of heat waves and drought events.
英文关键词abiotic stress tolerance genebanks germplasm collections ex situ conservation genetic adaptation genome-wide selection scans (GWSS) genome– environment associations (GEA) genomic prediction (GP) machine learning (ML)
类型Review
语种英语
开放获取类型Green Published, gold
收录类别SCI-E
WOS记录号WOS:000653933700001
WOS关键词GENOME-WIDE PREDICTION ; POPULATION-STRUCTURE ; ARABIDOPSIS-THALIANA ; ASSOCIATION ANALYSIS ; LOCAL ADAPTATION ; FOOD SECURITY ; MICROSATELLITE MARKERS ; LINKAGE DISEQUILIBRIUM ; ENABLED PREDICTION ; DROUGHT RESISTANCE
WOS类目Genetics & Heredity
WOS研究方向Genetics & Heredity
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/350355
作者单位[Cortes, Andres J.; Lopez-Hernandez, Felipe] Corp Colombiana Invest Agr AGROSAVIA, Km 7 Via Rionegro, Rionegro 054048, Colombia; [Cortes, Andres J.] Univ Nacl Colombia, Fac Ciencias Agr, Dept Ciencias Forestales, Sede Medellin, Medellin 050034, Colombia
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GB/T 7714
Cortes, Andres J.,Lopez-Hernandez, Felipe. Harnessing Crop Wild Diversity for Climate Change Adaptation[J],2021,12(5).
APA Cortes, Andres J.,&Lopez-Hernandez, Felipe.(2021).Harnessing Crop Wild Diversity for Climate Change Adaptation.GENES,12(5).
MLA Cortes, Andres J.,et al."Harnessing Crop Wild Diversity for Climate Change Adaptation".GENES 12.5(2021).
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