Che Yonghe, He Yutong, Song Nan, Yang Yanping, Wei Lai, Yang Xinming, Zhang Yan, Zhang Jinpeng, Han Haiming, Li Xiuquan, Zhou Shenghui, Liu Weihua, Li Lihui
Hebei Key Laboratory of Crop Stress Biology, Qinhuangdao, China.
College of Agronomy and Biotechnology, Hebei Normal University of Science and Technology, Qinhuangdao, China.
Front Plant Sci. 2022 Feb 24;13:835437. doi: 10.3389/fpls.2022.835437. eCollection 2022.
Tiller number (TN) is an important agronomic trait affecting gramineous crop yield. To understand the static and dynamic information of quantitative trait locus (QTLs) controlling TN of Gaertn., both the unconditional and conditional quantitative trait loci (QTL) mapping of TN were conducted using a cross-pollinated (CP) hybrid population with a total of 113 plant lines from the cross between (L.) Gaertn. Z1842 and Keng Z2098, based on the phenotypic data of TN at five developmental stages [i.e., recovering stage (RS), jointing stage (JS), heading stage (HS), flowering stage (FS), and maturity stage (MS)] in 4 years (i.e., 2017, 2018, 2020, and 2021) and the genetic map constructed of 1,023 single-nucleotide polymorphism (SNP) markers. Thirty-seven QTLs controlling TN were detected using two analysis methods in 4 years, which were distributed in six linkage groups. Each QTL explained 2.96-31.11% of the phenotypic variation, with a logarithum of odds (LOD) value of 2.51-13.95. Nine of these loci detected both unconditional and conditional QTLs. Twelve unconditional major QTLs and sixteen conditional major QTLs were detected. Three relatively major stable conditional QTLs, namely, , , and , were expressed in 2020 and 2021. Meantime, two pairs of major QTLs and and also and were located at the same interval but in different years. Except for and /, other thirty-four QTLs were first detected in this study. This study provides a better interpretation of genetic factors that selectively control tiller at different developmental stages and a reference for molecular marker-assisted selection in the related plant improvement.
分蘖数(TN)是影响禾本科作物产量的重要农艺性状。为了解控制燕麦TN的数量性状基因座(QTL)的静态和动态信息,基于4年(即2017年、2018年、2020年和2021年)5个发育阶段[即恢复期(RS)、拔节期(JS)、抽穗期(HS)、开花期(FS)和成熟期(MS)]的TN表型数据以及由1023个单核苷酸多态性(SNP)标记构建的遗传图谱,利用一个异花授粉(CP)杂交群体(共113个株系,由燕麦(L.)Gaertn. Z1842与燕麦Keng Z2098杂交而成)进行了TN的无条件和条件数量性状基因座(QTL)定位。4年中使用两种分析方法共检测到37个控制TN的QTL,它们分布在6个连锁群中。每个QTL解释了2.96%-31.11%的表型变异,对数似然比(LOD)值为2.51-13.95。其中9个位点同时检测到无条件和条件QTL。检测到12个无条件主效QTL和16个条件主效QTL。3个相对较稳定的条件主效QTL,即、和,在2020年和2021年表达。同时,两对主效QTL和以及和位于相同区间但在不同年份。除和/外,其他34个QTL是本研究首次检测到的。本研究为选择性控制不同发育阶段分蘖的遗传因素提供了更好的解释,并为相关植物改良中的分子标记辅助选择提供了参考。