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耐非生物胁迫水稻的优先地理分布模式

Preferential Geographic Distribution Pattern of Abiotic Stress Tolerant Rice.

作者信息

Bin Rahman A N M Rubaiyath, Zhang Jianhua

机构信息

Department of Biology, Hong Kong Baptist University, Hong Kong, China.

State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

出版信息

Rice (N Y). 2018 Feb 8;11(1):10. doi: 10.1186/s12284-018-0202-9.

DOI:10.1186/s12284-018-0202-9
PMID:29423779
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5805671/
Abstract

Crop productivity and stability of the food system are threatened by climate change, mainly through the effects of predicted abiotic stresses. Despite extensive research on abiotic stress tolerance in the past decades, the successful translation of these research to fields/farmers is scarce. The impelling demand of climate resilient varieties, and the poor translation of research into the field despite the availability of high throughput technologies lead us to critically analyse a neglected aspect of current abiotic stress tolerance research. Although environmental factors play the most important role in the development of adaptive traits of plants, most abiotic stress tolerance research ignores eco-geographic aspects of highly stress tolerant accessions. In this review, we critically examined the geographic distribution pattern of highly tolerant rice accessions of all major abiotic stresses along with one micronutrient deficiency. Remarkably, we identified a shared geographic distribution pattern of highly tolerant accessions for all abiotic stresses including zinc deficiency despite the sparseness of highly tolerant accessions. The majority of these tolerant accessions predominately originated from Bangladesh centred narrow geographic region. We therefore analysed the climatic and agro-ecological features of Bangladesh. Considering the threat of climate change on global food security and poverty, urgent concerted research efforts are necessary for the development of climate resilient rice varieties utilizing the technological advancement, know-hows, and the preferential distribution pattern of abiotic stress tolerant rice.

摘要

作物生产力和粮食系统的稳定性受到气候变化的威胁,主要是通过预测的非生物胁迫的影响。尽管在过去几十年里对非生物胁迫耐受性进行了广泛研究,但这些研究成功转化到田间/农民实际应用的情况却很少。对气候适应型品种的迫切需求,以及尽管有高通量技术但研究成果向田间转化不佳的情况,促使我们批判性地分析当前非生物胁迫耐受性研究中一个被忽视的方面。虽然环境因素在植物适应性性状的发展中起着最重要的作用,但大多数非生物胁迫耐受性研究忽略了高度耐胁迫种质的生态地理方面。在这篇综述中,我们批判性地研究了所有主要非生物胁迫以及一种微量营养素缺乏的高度耐胁迫水稻种质的地理分布模式。值得注意的是,尽管高度耐胁迫的种质稀少,但我们确定了包括锌缺乏在内的所有非生物胁迫的高度耐胁迫种质的共同地理分布模式。这些耐胁迫种质大多主要起源于以孟加拉国为中心的狭窄地理区域。因此,我们分析了孟加拉国的气候和农业生态特征。考虑到气候变化对全球粮食安全和贫困的威胁,利用技术进步、专业知识以及非生物胁迫耐受性水稻的优先分布模式,开展气候适应型水稻品种的开发需要紧急的协同研究努力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/e0ce62cffab0/12284_2018_202_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/7dd0609b9056/12284_2018_202_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/a6464a0fdc91/12284_2018_202_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/f322f0dae9ac/12284_2018_202_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/b14ae762e8b8/12284_2018_202_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/4a4307d8c343/12284_2018_202_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/e0ce62cffab0/12284_2018_202_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/2f7f2671d6f5/12284_2018_202_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/d4cc3d56336a/12284_2018_202_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/e32ab9a49d7d/12284_2018_202_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/13945a3b8592/12284_2018_202_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/e32d816e6f7f/12284_2018_202_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/6efb36b08466/12284_2018_202_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/7dd0609b9056/12284_2018_202_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/a6464a0fdc91/12284_2018_202_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/f322f0dae9ac/12284_2018_202_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/b14ae762e8b8/12284_2018_202_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/4a4307d8c343/12284_2018_202_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e074/5805671/e0ce62cffab0/12284_2018_202_Fig12_HTML.jpg

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