|本期目录/Table of Contents|

[1]曹廷杰,周艳杰,杨剑,等.河南省审定小麦品种旗叶性状全基因组关联分析[J].江苏农业科学,2022,50(11):53-62.
 Cao Tingjie,et al.Genome-wide association analysis of flag leaf traits of registered wheat cultivars in Henan Province[J].Jiangsu Agricultural Sciences,2022,50(11):53-62.
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河南省审定小麦品种旗叶性状全基因组关联分析(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第50卷
期数:
2022年第11期
页码:
53-62
栏目:
生物技术
出版日期:
2022-06-05

文章信息/Info

Title:
Genome-wide association analysis of flag leaf traits of registered wheat cultivars in Henan Province
作者:
曹廷杰1 周艳杰2 杨剑1 张玉娥1 胡卫国1 王西成1 赵虹1
1.河南省农业科学院小麦研究所,河南郑州 450002; 2.河南省作物分子育种研究院,河南郑州 450002
Author(s):
Cao Tingjieet al
关键词:
小麦品种旗叶性状相关性全基因组关联分析河南省
Keywords:
-
分类号:
S512.103.2
DOI:
-
文献标志码:
A
摘要:
为解析河南省育成小麦品种旗叶性状的遗传基础,以河南省审定的96个小麦品种为材料,2019年在河南省南阳市、安阳市、新乡市原阳县3个环境下对旗叶长(FLL)、旗叶宽(FLW)和旗叶长宽比(FLFW)进行鉴定,并利用小麦90K 单核苷酸多态性(SNP)芯片进行全基因组关联分析。结果表明,旗叶长和旗叶长宽比在3个环境中均呈极显著正相关关系(r值分别为0.800、0.799、0.729);旗叶宽与旗叶长宽比之间呈极显著负相关关系(r值分别为 -0.334、-0.597、-0.606)。筛选到6个旗叶较宽(开麦21、中育9398、豫农202、花培1号、郑育麦9987、郑麦583)和7个旗叶较长(温9629、郑农16、豫农201、新麦9号、平麦998、豫麦34、豫农202)的小麦品种。检测到59个与旗叶显著关联的SNPs位点,其中与旗叶长显著关联的SNPs有8个,分别位于2B、2D、4A、4B、7B染色体上,可解释1196%~15.43%的表型变异;与旗叶宽显著关联的SNPs有41个,分别位于1A、2A、2B、3B、3D、4B、5A、5B、6A、6B、6D、7B染色体上,可解释12.18%~21.57%的表型变异;与旗叶长宽比显著关联的SNPs有10个,分别位于2B、4A、6B染色体上,可解释12.85%~15.60%的表型变异;6B染色体上的Ku_c32100_105位点同时与旗叶宽和旗叶长宽比显著关联。经比较发现被定位在2B染色体上的位点可能是1个新的位点,研究结果为从遗传水平揭示小麦旗叶发育提供了重要的参考。
Abstract:
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参考文献/References:

[1]李春喜,韩蕊,邵云,等. 小麦开花期旗叶光合特性与地上部干物质量的相关和通径分析[J]. 江苏农业科学,2019,47(6):66-70.
[2]姜思彤,苏娜, 傅兆麟. 小麦旗叶叶绿素含量的时空差异性分析[J]. 黑龙江农业科学,2018(10):22-26.
[3]钮力亚,王伟伟,王伟,等. 小麦功能叶对产量及其构成因素的影响[J]. 作物研究,2018,32(4):295-298.
[4]傅兆麟,马宝珍,王光杰,等. 小麦旗叶与穗粒重关系的研究[J]. 麦类作物学报,2001,21(1):92-94.
[5]姚俭昕,张传量,宋晓朋,等. 基于90K芯片的小麦穗长和旗叶长QTL分析[J]. 麦类作物学报,2020,40(11):1283-1289.
[6]Tu Y,Liu H,Liu J J,et al. QTL mapping and validation of bread wheat flag leaf morphology across multiple environments in different genetic backgrounds[J]. Theoretical and Applied Genetics,2021,134(1):261-278.
[7]Liu K Y,Xu H,Liu G,et al. QTL mapping of flag leaf-related traits in wheat (Triticum aestivum L.)[J]. Theoretical and Applied Genetics,2018,131(4):839-849.
[8]Consortium I W G S,Investigators I R P,Appels R,et al. Shifting the limits in wheat research and breeding using a fully annotated reference genome[J]. Science,2018,361(6403):7191.
[9]Cavanagh C R,Chao S,Wang S C,et al.Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars[J]. Proceedings of the National Academy of Sciences of the United States of America,2013,110(20):8057-8062.
[10]Wang S C,Wong D,Forrest K,et al. Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array[J]. Plant Biotechnology Journal,2014,12(6):787-796.
[11]Rasheed A,Xia X C,Ogbonnaya F,et al. Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis[J]. BMC Plant Biology,2014,14:128.
[12]Zhou Y,Tang H,Cheng M P,et al. Genome-wide association study for pre-harvest sprouting resistance in a large germplasm collection of Chinese wheat landraces[J]. Frontiers in Plant Science,2017,8:401.
[13]Guo Z F,Chen D J,Alqudah A M,et al. Genome-wide association analyses of 54 traits identified multiple loci for the determination of floret fertility in wheat[J]. New Phytologist,2017,214(1):257-270.
[14]时晓磊,严勇亮,石书兵,等. 小麦根部耐盐性状全基因组关联分析[J]. 植物遗传资源学报,2021,22(1):57-73.
[15]朱展望. 利用全基因组连锁分析和关联分析定位小麦赤霉病抗性基因及分子标记开发[D]. 北京:中国农业科学院,2020.
[16]Bates D,Mchler M,Bolker B,et al. Fitting linear mixed-effects models using lme4[J]. Journal of Statistical Software,2015,67(1):1-48.
[17]Piepho H P,Mhring J. Computing heritability and selection response from unbalanced plant breeding trials[J]. Genetics,2007,177(3):1881-1888.
[18]Bradbury P J,Zhang Z W,Kroon D E,et al. TASSEL:software for association mapping of complex traits in diverse samples[J]. Bioinformatics,2007,23(19):2633-2635.
[19]Yang J,Zhou Y J,Hu W G,et al. Unlocking the relationships among population structure,plant architecture,growing season,and environmental adaptation in Henan wheat cultivars[J]. BMC Plant Biology,2020,20:469.
[20]雷振生,林作楫. 黄淮麦区冬小麦合理株型结构研究[J]. 华北农学报,1994,9(4):27-32.
[21]Ma J A,Tu Y,Zhu J,et al.Flag leaf size and posture of bread wheat:genetic dissection,QTL validation and their relationships with yield-related traits[J]. Theoretical and Applied Genetics,2020,133(1):297-315.
[22]Huang X H,Han B.Natural variations and genome-wide association studies in crop plants[J]. Annual Review of Plant Biology,2014,65:531-551.
[23]Liu Y X,Tao Y,Wang Z Q,et al. Identification of QTL for flag leaf length in common wheat and their pleiotropic effects[J]. Molecular Breeding,2017,38(1):1-11.
[24]Yan X F,Zhao L,Ren Y,et al. Identification of genetic loci and a candidate gene related to flag leaf traits in common wheat by genome-wide association study and linkage mapping[J]. Molecular Breeding,2020,40(6):1-15.
[25]王芳. 控制我国小麦旗叶性状的遗传位点及候选基因的功能分析[D]. 郑州:河南农业大学,2016.
[26]Fan X L,Cui F,Zhao C H,et al. QTLs for flag leaf size and their influence on yield-related traits in wheat (Triticum aestivum L.)[J]. Molecular Breeding,2015,35(1):1-16.
[27]常鑫,李法计,张兆萍,等. 小麦旗叶长、宽及面积的QTL分析[J]. 西北植物学报,2014,34(5):896-901.
[28]王芳,宋艳红,阳文龙,等. 小麦旗叶宽相关基因TaNAL1-5的克隆与功能分析[J]. 分子植物育种,2016,14(5):1037-1048.
[29]Fujita D,Trijatmiko K R,Tagle A G,et al. NAL1 allele from a rice Landrace greatly increases yield in modern indica cultivars[J]. PNAS,2013,110(51):20431-20436.
[30]Zhang G H,Li S Y,Wang L,et al. LSCHL4 from Japonica cultivar,which is allelic to NAL1,increases yield of indica super rice 93-11[J]. Molecular Plant,2014,7(8):1350-1364.
[31]连俊方,张德强,武炳瑾,等. 利用90K基因芯片进行小麦旗叶相关性状的QTL定位[J]. 麦类作物学报,2016,36(6):689-698.
[32]刘朦朦,张萌娜,张倩倩,等. 小麦旗叶宽主效QTL QFlw-5B遗传效应解析[J]. 麦类作物学报,2019,39(12):1399-1405.
[33]王盈,赵磊,董中东,等. 小麦株高和旗叶相关性状的QTL定位[J]. 麦类作物学报,2019,39(7):761-767.

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备注/Memo

备注/Memo:
收稿日期:2021-08-13
基金项目:河南省小麦产业技术体系项目(编号:S2010-01-G03)。
作者简介:曹廷杰(1977—),男,河南南阳人,博士,副研究员,主要从事小麦育种及重要性状遗传分析研究。E-mail:caotingeji893@163.com。
更新日期/Last Update: 2022-06-05