Gupta Priyanka, Kabbaj Hafssa, El Hassouni Khaoula, Maccaferri Marco, Sanchez-Garcia Miguel, Tuberosa Roberto, Bassi Filippo Maria
Department of Agricultural and Food Sciences, University of Bologna, Viale G Fanin 44, 40127 Bologna, Italy.
International Center for Agricultural Research in the Dry Areas (ICARDA), 10000 Rabat, Morocco.
Plants (Basel). 2020 Nov 24;9(12):1628. doi: 10.3390/plants9121628.
Flowering time is a critical stage for crop development as it regulates the ability of plants to adapt to an environment. To understand the genetic control of flowering time, a genome-wide association study (GWAS) was conducted to identify the genomic regions associated with the control of this trait in durum wheat ( Desf.). A total of 96 landraces and 288 modern lines were evaluated for days to heading, growing degree days, and accumulated day length at flowering across 13 environments spread across Morocco, Lebanon, Mauritania, and Senegal. These environments were grouped into four pheno-environments based on temperature, day length, and other climatic variables. Genotyping with a 35K Axiom array generated 7652 polymorphic single nucleotide polymorphisms (SNPs) in addition to 3 KASP markers associated with known flowering genes. In total, 32 significant QTLs were identified in both landraces and modern lines. Some QTLs had a strong association with already known regulatory photoperiod genes, and , and vernalization genes and . However, these loci explained only 5% to 20% of variance for days to heading. Seven QTLs overlapped between the two germplasm groups in which and consistently affected flowering time in all the pheno-environments, while and were significant only in two pheno-environments and the combined analysis across all environments. These results help clarify the genetic mechanism controlling flowering time in durum wheat and show some clear distinctions to what is known for common wheat ( L.).
开花期是作物发育的关键阶段,因为它调节着植物适应环境的能力。为了了解开花期的遗传控制,开展了一项全基因组关联研究(GWAS),以确定与硬粒小麦(Desf.)这一性状控制相关的基因组区域。对总共96个地方品种和288个现代品系在跨越摩洛哥、黎巴嫩、毛里塔尼亚和塞内加尔的13个环境中的抽穗天数、生长度日和开花时的累计日长进行了评估。根据温度、日长和其他气候变量,这些环境被分为四个表型环境。使用35K Axiom芯片进行基因分型,除了与已知开花基因相关的3个KASP标记外,还产生了7652个多态性单核苷酸多态性(SNP)。总共在地方品种和现代品系中鉴定出32个显著的QTL。一些QTL与已知的调控光周期基因以及春化基因和有很强的关联。然而,这些位点仅解释了抽穗天数5%至20%的变异。两个种质组之间有7个QTL重叠,其中和在所有表型环境中都持续影响开花时间,而和仅在两个表型环境以及所有环境的综合分析中显著。这些结果有助于阐明硬粒小麦开花时间的遗传机制,并显示出与普通小麦(L.)已知情况的一些明显差异。