Ebrahimi A, Maury P, Berger M, Kiani S Poormohammad, Nabipour A, Shariati F, Grieu P, Sarrafi A
INP-ENSAT, IFR 40, Laboratoire de Biotechnologie et Amelioration des Plantes, F-31326 Castanet Tolosan, France.
Genome. 2008 Aug;51(8):599-615. doi: 10.1139/G08-038.
The objectives of the present research were to determine the effects of water stress on seed-quality traits and to map QTLs controlling the studied traits under two different water treatments in a population of sunflower recombinant inbred lines (RILs). Two experiments were conducted in greenhouse and field conditions, each with well-watered and water-stressed treatments. The experiments consisted of a split-plot design (water treatment and RIL) with three blocks. Analyses of variance showed significant variation among genotypes, and a water treatment x genotype interaction was also observed for most of the traits. Two to 15 QTLs were found, depending on trait and growth conditions, and the percentage of phenotypic variance explained by the QTLs ranged from 5% to 31%. Several QTLs for oil content overlapped with QTLs for palmitic and stearic acid contents in all four conditions. An overlapping region on linkage group 3 (QTLs 2.OC.3.1 and 4.SA.3.1) was linked to an SSR marker (ORS657). A principal component analysis was performed on four fatty acid traits. Two principal components, P1 and P2, were used for QTL analysis. This method improved the ability to identify chromosomal regions affecting the fatty acids. We also detected the principal-component QTLs that did not overlap with the fatty acid QTLs. The results highlight genomic regions of interest in marker-based breeding programmes for increasing oil content in sunflower.
本研究的目的是确定水分胁迫对种子品质性状的影响，并在向日葵重组自交系（RILs）群体中，在两种不同水分处理条件下定位控制所研究性状的QTL。在温室和田间条件下进行了两项试验，每项试验都有充分浇水和水分胁迫处理。试验采用裂区设计（水分处理和RIL），设置三个区组。方差分析表明基因型间存在显著差异，并且大多数性状也观察到水分处理×基因型的互作。根据性状和生长条件，发现了2至15个QTL，QTL解释的表型变异百分比在5%至31%之间。在所有四种条件下，几个含油量QTL与棕榈酸和硬脂酸含量的QTL重叠。连锁群3上的一个重叠区域（QTLs 2.OC.3.1和4.SA.3.1）与一个SSR标记（ORS657）连锁。对四个脂肪酸性状进行了主成分分析。两个主成分P1和P2用于QTL分析。该方法提高了识别影响脂肪酸的染色体区域的能力。我们还检测到了与脂肪酸QTL不重叠的主成分QTL。结果突出了基于标记的育种计划中增加向日葵含油量的感兴趣的基因组区域。
