作物学报
作物學報
작물학보
ACTA AGRONOMICA SINICA
2010年
1期
61-67
,共7页
桑云%赵亮%张坤普%田纪春%叶宝兴
桑雲%趙亮%張坤普%田紀春%葉寶興
상운%조량%장곤보%전기춘%협보흥
小麦%数量性状位点%茎壁厚%穗下节间%DH群体
小麥%數量性狀位點%莖壁厚%穗下節間%DH群體
소맥%수량성상위점%경벽후%수하절간%DH군체
Wheat%Quantitative trait loci%Culm wall thickness%Uppermost internode%Doubled haploid population
由小麦品种花培3号和豫麦57杂交获得168个DH株系,连续两年在山东泰安种植,利用324个SSR标记构建遗传连锁图谱,并基于混合线性模型对控制穗下节间直径、茎壁厚及茎壁面积的QTL遗传效应和环境互作效应进行分析.共检测到10个加性效应位点和6对上位效应位点,其中3个加性位点参与环境互作效应.检测到位于染色体2D、3D和5D(2个)控制穗下节间直径的4个加性QTLs,与控制茎壁厚的3个加性位点相同或相邻,表现出一因多效或紧密连锁效应.两个位于染色体2D和5D控制茎壁厚和茎壁面积QTL有较大遗传贡献率,分别为11.37%和10.98%,适用于分子标记辅助育种和聚合育种.6对上位性效应遗传贡献率较小、无环境互作效应.
由小麥品種花培3號和豫麥57雜交穫得168箇DH株繫,連續兩年在山東泰安種植,利用324箇SSR標記構建遺傳連鎖圖譜,併基于混閤線性模型對控製穗下節間直徑、莖壁厚及莖壁麵積的QTL遺傳效應和環境互作效應進行分析.共檢測到10箇加性效應位點和6對上位效應位點,其中3箇加性位點參與環境互作效應.檢測到位于染色體2D、3D和5D(2箇)控製穗下節間直徑的4箇加性QTLs,與控製莖壁厚的3箇加性位點相同或相鄰,錶現齣一因多效或緊密連鎖效應.兩箇位于染色體2D和5D控製莖壁厚和莖壁麵積QTL有較大遺傳貢獻率,分彆為11.37%和10.98%,適用于分子標記輔助育種和聚閤育種.6對上位性效應遺傳貢獻率較小、無環境互作效應.
유소맥품충화배3호화예맥57잡교획득168개DH주계,련속량년재산동태안충식,이용324개SSR표기구건유전련쇄도보,병기우혼합선성모형대공제수하절간직경、경벽후급경벽면적적QTL유전효응화배경호작효응진행분석.공검측도10개가성효응위점화6대상위효응위점,기중3개가성위점삼여배경호작효응.검측도위우염색체2D、3D화5D(2개)공제수하절간직경적4개가성QTLs,여공제경벽후적3개가성위점상동혹상린,표현출일인다효혹긴밀련쇄효응.량개위우염색체2D화5D공제경벽후화경벽면적QTL유교대유전공헌솔,분별위11.37%화10.98%,괄용우분자표기보조육충화취합육충.6대상위성효응유전공헌솔교소、무배경호작효응.
A population of 168 doubled haploid derived from two elite Chinese wheat (Triticum aestivum L.) cultivars Huapei 3 and Yumai 57, grown in two continuous cropping seasons in Tai'an, Shandong province, was used to investigate the genetic basis of uppermost intemode diameter (UID) and thickness (CWT) and area (CWA) of culm wall in wheat. The quantitative trait loci (QTLs) for each trait were analyzed based on the constructed molecular linkage map of this population, including 324 SSR markers coveting the whole wheat genome. The additive effects, epistatic effects, and their interactions with environment were identified by using the mixed linear model approach. A total of ten additive QTLs and six pairs of epistatic QTLs were detected. Among the ten QTLs, three had interactions with environment. For UID, four QTLs were detected on chromosomes 2D, 3D, and 5D (two regions), and explained 14.98% of phenotypic variation. Three QTLs for CWT were identified and accounted for 14.41% of the variation in the same or close region chromosome of UID, which showed pleiotropisms or tight linkages. Three QTLs on chromosome 3D, 4B, and 5D controlling CWA explained 19.03% of the variation. Two intervals of XCFD53-XWMC18 and XWMC215-XBARC34 on chromosomes 2D and 5D for thickness and area of culm wall explained 11.37% and 10.98% phenotypic variation, respectively. They could be used in marker-assisted selection. For the six epistatic QTLs, the epistatic effects were not significant and without epistatic × environment interactions. These QTLs accounted for 19.01% of the observed phenotypic variation, without any additive effects (except qCWA-3D) of their own but involved in epistatic interactions. Such loci might play the role of modifying agents that tend to activate other loci or modify the action of other loci.