作物学报
作物學報
작물학보
ACTA AGRONOMICA SINICA
2014年
10期
1725-1731,1732
,共8页
朱玉磊%王升星%赵良侠%张德新%胡建帮%曹雪连%杨亚杰%常成%马传喜%张海萍
硃玉磊%王升星%趙良俠%張德新%鬍建幫%曹雪連%楊亞傑%常成%馬傳喜%張海萍
주옥뢰%왕승성%조량협%장덕신%호건방%조설련%양아걸%상성%마전희%장해평
小麦%穗发芽%休眠%分子标记%关联分析
小麥%穗髮芽%休眠%分子標記%關聯分析
소맥%수발아%휴면%분자표기%관련분석
Triticum aestivum L.%Preharvest sprouting%Dormancy%Molecular marker%Association analysis
利用分布于小麦全基因组的181对分子标记,分析264份自然群体的基因型,采用TASSLE软件的GLM和MLM模型检测与整穗发芽抗性紧密关联的标记位点,发掘相关位点内的优异等位变异。在2012年和2013年室内整穗发芽率、2013年田间自然降雨整穗发芽率3个环境中,共关联到20个显著位点(P<0.05),分布于小麦染色体1AS、2DS、3AS、3BL、4AL、5AS、5BL、6BS、6DS、7AL和7BL上。分别位于2DS和7BL上的分子标记gwm102和barc340同时在3个环境下关联到,属于稳定的抗性位点;另有6个标记位点同时在2个环境下关联到;其余12个标记位点仅在1个环境下关联到。位于7BL上的barc340标记位点为一新报道位点。从重复关联的8个标记位点内共检测出10种优异等位变异。barc28-229bp和barc28-217bp对提高整穗发芽抗性效应最显著,主要分布在地方品种中(如遂宁坨坨麦等),而gwm102-142bp和barc186-199bp效应虽然相对较小,但多分布在推广品种中(如扬麦158等),有利于穗发芽抗性分子育种的直接应用。
利用分佈于小麥全基因組的181對分子標記,分析264份自然群體的基因型,採用TASSLE軟件的GLM和MLM模型檢測與整穗髮芽抗性緊密關聯的標記位點,髮掘相關位點內的優異等位變異。在2012年和2013年室內整穗髮芽率、2013年田間自然降雨整穗髮芽率3箇環境中,共關聯到20箇顯著位點(P<0.05),分佈于小麥染色體1AS、2DS、3AS、3BL、4AL、5AS、5BL、6BS、6DS、7AL和7BL上。分彆位于2DS和7BL上的分子標記gwm102和barc340同時在3箇環境下關聯到,屬于穩定的抗性位點;另有6箇標記位點同時在2箇環境下關聯到;其餘12箇標記位點僅在1箇環境下關聯到。位于7BL上的barc340標記位點為一新報道位點。從重複關聯的8箇標記位點內共檢測齣10種優異等位變異。barc28-229bp和barc28-217bp對提高整穗髮芽抗性效應最顯著,主要分佈在地方品種中(如遂寧坨坨麥等),而gwm102-142bp和barc186-199bp效應雖然相對較小,但多分佈在推廣品種中(如颺麥158等),有利于穗髮芽抗性分子育種的直接應用。
이용분포우소맥전기인조적181대분자표기,분석264빈자연군체적기인형,채용TASSLE연건적GLM화MLM모형검측여정수발아항성긴밀관련적표기위점,발굴상관위점내적우이등위변이。재2012년화2013년실내정수발아솔、2013년전간자연강우정수발아솔3개배경중,공관련도20개현저위점(P<0.05),분포우소맥염색체1AS、2DS、3AS、3BL、4AL、5AS、5BL、6BS、6DS、7AL화7BL상。분별위우2DS화7BL상적분자표기gwm102화barc340동시재3개배경하관련도,속우은정적항성위점;령유6개표기위점동시재2개배경하관련도;기여12개표기위점부재1개배경하관련도。위우7BL상적barc340표기위점위일신보도위점。종중복관련적8개표기위점내공검측출10충우이등위변이。barc28-229bp화barc28-217bp대제고정수발아항성효응최현저,주요분포재지방품충중(여수저타타맥등),이gwm102-142bp화barc186-199bp효응수연상대교소,단다분포재추엄품충중(여양맥158등),유리우수발아항성분자육충적직접응용。
To improve pre-harvest sprouting (PHS) resistance in wheat breeding, it is important to explore marker loci and elite alleles associated with PHS resistance using intact spikes. In this study, a total of 181 markers were used to 264 genotype materi-als. General and mixed linear models (GLM and MLM) were used to analyze PHS phenotypic data in three environments (2012-in house, 2013-in house and 2013-in field). The results showed that twenty markers were identified by association analysis, and lo-cated on chromosomes 1AS, 2DS, 3AS, 3BL, 4AL, 5AS, 5BL, 6BS, 6DS, 7AL, and 7BL. The markers gwm102 on 2DS and barc340 on 7BL were detected stably in three environments, among which barc340 was likely to be novel and needs to be further studied through biparental linkage mapping analysis. Six markers were detected in two environments, and the other loci linked with 12 markers were detected only in one environment. A total of ten elite alleles were further explored among the eight loci with repeated associations. The alleles barc28-229bp and barc28-217bp for high PHS resistance were all distributed in local cultivars (e.g. Suiningtuotuomai). However, the alleles gwm102-142bp and barc186-199bp with intermediate PHS resistance were mainly detected in released cultivars (e.g. Yangmai 158), which could be beneficial to wheat molecular breeding.