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通过整合生理数据、RNA测序和单核苷酸多态性分析鉴定参与盐胁迫耐受性的假定跨膜蛋白

Identification of Putative Transmembrane Proteins Involved in Salinity Tolerance in by Integrating Physiological Data, RNAseq, and SNP Analyses.

作者信息

Schmöckel Sandra M, Lightfoot Damien J, Razali Rozaimi, Tester Mark, Jarvis David E

机构信息

Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and TechnologyThuwal, Saudi Arabia.

Computational Bioscience Research Center, King Abdullah University of Science and TechnologyThuwal, Saudi Arabia.

出版信息

Front Plant Sci. 2017 Jun 21;8:1023. doi: 10.3389/fpls.2017.01023. eCollection 2017.

DOI:10.3389/fpls.2017.01023
PMID:28680429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5478719/
Abstract

(quinoa) is an emerging crop that produces nutritious grains with the potential to contribute to global food security. Quinoa can also grow on marginal lands, such as soils affected by high salinity. To identify candidate salt tolerance genes in the recently sequenced quinoa genome, we used a multifaceted approach integrating RNAseq analyses with comparative genomics and topology prediction. We identified 219 candidate genes by selecting those that were differentially expressed in response to salinity, were specific to or overrepresented in quinoa relative to other Amaranthaceae species, and had more than one predicted transmembrane domain. To determine whether these genes might underlie variation in salinity tolerance in quinoa and its close relatives, we compared the response to salinity stress in a panel of 21 accessions (14 , 5 , and 2 ). We found large variation in salinity tolerance, with one displaying the highest salinity tolerance. Using genome re-sequencing data from these accessions, we investigated single nucleotide polymorphisms and copy number variation (CNV) in the 219 candidate genes in accessions of contrasting salinity tolerance, and identified 15 genes that could contribute to the differences in salinity tolerance of these accessions.

摘要

藜麦是一种新兴作物,能产出营养丰富的谷物,有望促进全球粮食安全。藜麦还能在边缘土地上生长,比如受高盐度影响的土壤。为了在最近测序的藜麦基因组中鉴定候选耐盐基因,我们采用了一种多方面的方法,将RNA测序分析与比较基因组学和拓扑结构预测相结合。我们通过选择那些在盐胁迫下差异表达、相对于其他苋科物种在藜麦中特异或过量表达且具有多个预测跨膜结构域的基因,鉴定出了219个候选基因。为了确定这些基因是否可能是藜麦及其近缘种耐盐性差异的基础,我们比较了21份材料(14份 、5份 和2份 )对盐胁迫的反应。我们发现耐盐性存在很大差异,其中一份材料表现出最高的耐盐性。利用这些材料的基因组重测序数据,我们研究了耐盐性不同的材料中219个候选基因的单核苷酸多态性和拷贝数变异(CNV),并鉴定出15个可能导致这些材料耐盐性差异的基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/c719b0348620/fpls-08-01023-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/1e3e950b274d/fpls-08-01023-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/968f1ff7ca2d/fpls-08-01023-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/509d520cc44f/fpls-08-01023-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/c719b0348620/fpls-08-01023-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/1e3e950b274d/fpls-08-01023-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/968f1ff7ca2d/fpls-08-01023-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/509d520cc44f/fpls-08-01023-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd7/5478719/c719b0348620/fpls-08-01023-g0004.jpg

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本文引用的文献

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