Alqudah Ahmad M, Sharma Rajiv, Pasam Raj K, Graner Andreas, Kilian Benjamin, Schnurbusch Thorsten
Research group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, OT Gatersleben, D-06466 Stadt Seeland, Germany.
Research group Genome Diversity, Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, OT Gatersleben, D-06466 Stadt Seeland, Germany.
PLoS One. 2014 Nov 24;9(11):e113120. doi: 10.1371/journal.pone.0113120. eCollection 2014.
Heading time is a complex trait, and natural variation in photoperiod responses is a major factor controlling time to heading, adaptation and grain yield. In barley, previous heading time studies have been mainly conducted under field conditions to measure total days to heading. We followed a novel approach and studied the natural variation of time to heading in a world-wide spring barley collection (218 accessions), comprising of 95 photoperiod-sensitive (Ppd-H1) and 123 accessions with reduced photoperiod sensitivity (ppd-H1) to long-day (LD) through dissecting pre-anthesis development into four major stages and sub-phases. The study was conducted under greenhouse (GH) conditions (LD; 16/8 h; ∼20/∼16°C day/night). Genotyping was performed using a genome-wide high density 9K single nucleotide polymorphisms (SNPs) chip which assayed 7842 SNPs. We used the barley physical map to identify candidate genes underlying genome-wide association scans (GWAS). GWAS for pre-anthesis stages/sub-phases in each photoperiod group provided great power for partitioning genetic effects on floral initiation and heading time. In addition to major genes known to regulate heading time under field conditions, several novel QTL with medium to high effects, including new QTL having major effects on developmental stages/sub-phases were found to be associated in this study. For example, highly associated SNPs tagged the physical regions around HvCO1 (barley CONSTANS1) and BFL (BARLEY FLORICAULA/LEAFY) genes. Based upon our GWAS analysis, we propose a new genetic network model for each photoperiod group, which includes several newly identified genes, such as several HvCO-like genes, belonging to different heading time pathways in barley.
抽穗期是一个复杂的性状,光周期反应的自然变异是控制抽穗时间、适应性和籽粒产量的主要因素。在大麦中,以往关于抽穗期的研究主要在田间条件下进行,以测量抽穗的总天数。我们采用了一种新方法,通过将花前发育分为四个主要阶段和子阶段,研究了一个全球范围内的春大麦种质资源库(218份材料)中抽穗时间的自然变异,该种质资源库包括95份光周期敏感型(Ppd-H1)和123份光周期敏感性降低型(ppd-H1)材料,用于长日照(LD)处理。该研究在温室(GH)条件下(长日照;16/8小时;白天/夜间约20/约16°C)进行。使用全基因组高密度9K单核苷酸多态性(SNP)芯片进行基因分型,该芯片检测了7842个SNP。我们利用大麦物理图谱来鉴定全基因组关联研究(GWAS)潜在的候选基因。对每个光周期组的花前阶段/子阶段进行GWAS分析,为划分对开花起始和抽穗时间的遗传效应提供了强大的能力。除了已知在田间条件下调控抽穗时间的主要基因外,本研究还发现了几个具有中等到高效应的新QTL,包括对发育阶段/子阶段有主要影响的新QTL。例如,高度相关的SNP标记了HvCO1(大麦CONSTANS1)和BFL(大麦FLORICAULA/LEAFY)基因周围的物理区域。基于我们的GWAS分析,我们为每个光周期组提出了一个新的遗传网络模型,其中包括几个新鉴定的基因,如几个HvCO样基因,它们属于大麦不同的抽穗时间途径。