摘要
直链淀粉含量是评价稻米蒸煮食味品质关键指标,挖掘控制该性状QTLs/基因对于改良稻米品质具有重要意义。研究利用295份粳稻种质组成的自然群体为试验材料,测定2019年和2020年稻米直链淀粉含量,结合重测序得到788 396个高质量SNP,利用Tassel 5.0软件混合线性模型(MLM,Q+K)作全基因组关联分析。结果表明,两年共检测到12个与稻米直链淀粉含量相关QTL,分布在水稻第3、4、11和12染色体上,贡献率范围为8.78%~11.62%,其中qAAC4-2和qAAC12-2在两年中重复检测到。进一步针对这两个QTL区间内所有基因作单倍型分析,结合基因注释和前人研究结果,推测LOC_Os04g33640为影响稻米直链淀粉含量新候选基因。
Amylose content is a key index to evaluate the cooking and eating quality in rice,and it is important to explore the QTLs/genes controlling this trait for improving rice quality.In this study,295 japonica rice germplasms were used as experimental materials to determine the amylose content in2019 and 2020.Combining with 788396 high-quality SNPs obtained by resequencing,genome-wide association analysis(GWAS)was performed by mixed linear model(MLM)of TASSEL 5.0 software.The results showed that a total of 12 QTLs associated with amylose content were detected on chromosome 3,4,11 and 12 in two consecutive years,and the R^(2) ranged from 8.78%to 11.62%,among which,qAAC4-2 and qAAC12-2 were detected repeatedly in two years.Haplotype analysis of all the genes in the two QTL intervals was further performed.Combining with genes annotation and previous studies,LOC_Os04g33640 was speculated to be a new candidate gene affecting amylose content in rice.
作者
郑洪亮
孙世臣
丁国华
王彤彤
赵宏伟
王敬国
刘化龙
韩笑
邹德堂
来永才
ZHENG Hongliang;SUN Shichen;DING Guohua;WANG Tongtong;ZHAO Hongwei;WANG Jingguo;LIU Hualong;HAN Xiao;ZOU Detang;LAI Yongcai(Heilongjiang Acamedy of Agricultural Sciences Postdoctoral Programme,Harbin 150086,China;Germplasm Enhancement and Physiology and Ecology of Food Crops in Cold Region,Ministry of Education,Northeast Agricultural University,Harbin 150030,China;Heilongjiang Acamedy of Agricultural Sciences,Harbin 150086,China)
出处
《东北农业大学学报》
CAS
CSCD
北大核心
2021年第10期21-31,共11页
Journal of Northeast Agricultural University
基金
黑龙江省博士后基金项目(LBH-Z16188)
东北农业大学“学术骨干”基金资助项目(20XG24)
黑龙江省自然科学基金联合引导项目(LH2019C035)
黑龙江省“百千万”工程生物育种重大科技专项(2020ZX16B01)。
关键词
粳稻
直链淀粉含量
GWAS
候选基因
japonica rice
amylose content
genome-wide association analysis
candidate gene