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水旱处理下小麦叶绿素相对含量全基因组关联分析
郑福兴1, 颜 安2, 高 雪1, 严勇亮3, 王 睿1, 耿洪伟1
0
(1.新疆农业大学农学院;2.新疆农业大学草业与环境科学学院;3.新疆农业科学院农作物品种资源研究所)
摘要:
叶绿素含量的高低决定了光合作用效率的强弱。为探究影响小麦叶绿素含量的遗传机理,挖掘与小麦叶绿素含量显著相关的SNP位点以及候选基因,本研究对119份冬小麦品种(系)开花期和灌浆期水旱处理下的叶绿素含量进行了测定,结合50K芯片,采用Q+K模型对水旱两种处理下小麦叶绿素含量进行全基因组关联分析(GWAS,Genome- Wide Association Studies)。研究结果表明,119份小麦品种(系)当K=3时,?K达到最大,因此供试材料可分为三个亚群,亚群1、2、3分别占比48.74%、23.53%和27.73%。50K芯片的多态性信息含量(PIC,Polymorphic Information Content)为0.091~0.375,全基因组LD衰减距离为4.27Mb。水旱处理下小麦灌浆期叶绿素含量均高于开花期。通过全基因组关联分析,在P<0.001的阈值下,水旱两处理下共筛选出88个与叶绿素含量显著关联的位点,分布于除4B、5A、7A以外的18条染色体上,贡献率为9.39%~15.69%。水旱两种处理下在开花期共检测到41个与叶绿素含量显著关联的位点,其中水处理下检测到40个位点,旱处理下检测到1个位点;灌浆期共检测到51个与叶绿素含量显著关联的位点,其中水处理下检测到42个位点,旱处理下检测到9个位点;在开花期和灌浆期均存在的位点共有4个,分布在3A和6A染色体上,贡献率为11.44%~14.71%。位于4A上的1个位点在开花期的2个环境下同时发现,贡献率分别为12.01%和12.26%,是稳定的位点。水处理下共筛选到21个可能影响叶绿素含量的候选基因,其中包含编码叶绿素酶、镁离子转运体、磷脂/甘油酰基转移酶家族蛋白、GATA转录因子的基因等;旱处理下共筛选到3个可能影响叶绿素含量的基因,包含叶绿素a-b结合蛋白、F-box蛋白、脱水应激蛋白。上述基因参与叶绿素合成与分解,调控作物生长发育。本研究可为基因克隆与标记开发提供参考。
关键词:  小麦  叶绿素含量  全基因组关联分析  水旱处理  候选基因
DOI:10.13430/j.cnki.jpgr. 20210309003
投稿时间:2021-03-09修订日期:2021-07-05
基金项目:国家自然科学基金项目(31771786);新疆维吾尔自治区高校科研计划自然科学重点项目(XJEDU2020I010)
Genome-wide Association Scanning of Chlorophyll Content in Wheat under Water and Drought Treatments
ZHENG Fu-xing1, YAN An2, GAO Xue1, YAN Yong-liang3, WANG Rui1, GENG Hong-wei1
(1.College of Agriculture, Xinjiang Agricultural University;2.College of Pratacultural and Environmental Sciences, Xinjiang Agricultural University;3.Institute of Crop Varieties and Resources, Xinjiang Academy of Agricultural Sciences)
Abstract:
The chlorophyll content determines the rate of photosynthesis. To explore the genetic mechanism of the chlorophyll content, this study measured the chlorophyll content of 119 winter wheat varieties (lines) at flowering period and filling stage under watering-drought treatment. The genome-wide association scanning using 50K chips was conducted using the Q+K association hybrid model. The chlorophyll content of wheat under drought treatment was slightly lower than that under water treatment at flowering and grain filling stage. One-hundred nineteen wheat varieties (lines) were divided into three subgroups, each of which accounted for 48.7%, 23.5% and 27.7%. The polymorphic information content (PIC, Polymorphic Information Content) of the 50K chip was 0.091-0.375, and the whole-genome LD decay distance was 4.27Mb. Genome-wide association scanning (P < 0.001) identified a total of 88 loci significantly associated with chlorophyll content under the two treatments. These loci were found on all chromosomes except 4B, 5A and 7A, with a contribution rate of 9.39%- 15.69%. A total of forty-one loci significantly associated with chlorophyll content were detected at the flowering stage, among which 40 loci were identified under water treatment and one locus under drought treatment. A total of 51 loci significantly associated with chlorophyll content were detected at the grain-filling stage, among which forty-three loci were identified under water treatment and nine loci were identified under dry treatment, with a total of four repeat loci in the two stages. A locus located on 4A was detected in the flowering stage at two environments, with the contribution rate of 12.01%-12.26%. A total of 21 candidate genes associating to chlorophyll formation were identified under water treatment condition, including magnesium transporter, transporter, chlorophyllase, phospholipid/glyceryl acyltransferase family protein, GATA transcription factor. Under drought treatment condition, three genes possibly related to stable expression of chlorophyll were obtained, including chlorophyll a-b binding protein, F-box protein and dehydration stress protein, which are involved in chlorophyll synthesis and decomposition and regulate the growth and development of crops. Collectively, this study provided insights for gene cloning and marker development.
Key words:  wheat  chlorophyll content  GWAS  flood and drought conditions  candidate genes