Harnessing Crop Wild Diversity for Climate Change Adaptation.
Harnessing Crop Wild Diversity for Climate Change Adaptation.
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DOI：
10.3390/genes12050783
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发表时间：
2021-05-20
期刊：
影响因子：
3.5
通讯作者：
López-Hernández F
中科院分区：
文献类型：
--
作者：
Cortés AJ;López-Hernández F
气候变暖和干旱正在减少全球农作物产量，并有可能大幅加剧全球营养不良。与上世纪的绿色革命一样，植物遗传学可能为提高产量和作物适应性提供具体机会。然而，威胁发生的速度需要推动新的战略，以满足全球粮食需求。在这篇综述中，我们重点介绍了最近来自经验和理论基因组学的“大数据”的重大发展，这些发展可能会加速具有养活人类潜力的外来和优良作物品种的识别、保护和育种。我们首先强调捕获和利用非生物胁迫（即热和干旱）耐受性的新变异来源的主要瓶颈。我们认为，作物野生近缘种对干燥环境的适应可能有助于了解植物表型如何对干燥气候做出反应，因为自然选择已经测试了比人类更多的选择。由于隐秘多样性的孤立区域可能仍然存在于偏远的半干旱地区，因此我们鼓励基因库建立新的基于栖息地的人口引导收集。我们继续讨论如何使用地理参考和广泛的环境数据系统地研究这些野生和地方品种作物的非生物胁迫耐受性。通过揭示耐受适应性状背后的基因，自然变异有可能渗入到优良品种中。然而，解锁隐藏在相关野生物种和早期地方品种中的适应性遗传变异仍然是复杂性状的一个重大挑战，这些性状作为非生物胁迫耐受性是多基因的（即受到许多低效基因的调节）。因此，我们完成了对现代分析方法的探索，以解决这个问题。具体而言，基因组预测、机器学习和多性状基因编辑都提供了创新的替代方案，可以加快更准确的预育和育种工作，从而提高作物适应性和产量，同时满足未来全球在炎热和干旱加剧的情况下的粮食需求。为了使这些“大数据”方法取得成功，我们提倡采用开源数据和长期资助的跨学科方法。本次综述中讨论的最新进展和观点最终旨在提高作物面对热浪和干旱事件的适应性和产量。
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.
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影响因子：
4.6
作者：
Wang Y;Li Y;Qiao C;Liu X;Hao M;Shugart YY;Xiong M;Jin L
通讯作者：
Jin L
影响因子：
13.8
作者：
Abberton M;Batley J;Bentley A;Bryant J;Cai H;Cockram J;de Oliveira AC;Cseke LJ;Dempewolf H;De Pace C;Edwards D;Gepts P;Greenland A;Hall AE;Henry R;Hori K;Howe GT;Hughes S;Humphreys M;Lightfoot D;Marshall A;Mayes S;Nguyen HT;Ogbonnaya FC;Ortiz R;Paterson AH;Tuberosa R;Valliyodan B;Varshney RK;Yano M
通讯作者：
Yano M
影响因子：
4.9
作者：
Aguirre-Liguori, Jonas A.;Gaut, Brandon S.;Eguiarte, Luis E.
通讯作者：
Eguiarte, Luis E.
影响因子：
5.8
作者：
Ali, AJ;Xu, JL;Li, ZK
通讯作者：
Li, ZK
DOI：
10.1093/g3journal/jkaa057
发表时间：
2021-02-09
期刊：
G3 (Bethesda, Md.)
影响因子：
--
作者：
Montesinos-López OA;Montesinos-López A;Mosqueda-Gonzalez BA;Montesinos-López JC;Crossa J;Ramirez NL;Singh P;Valladares-Anguiano FA
通讯作者：
Valladares-Anguiano FA