Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Plant J. 2019 Apr;98(1):19-32. doi: 10.1111/tpj.14193. Epub 2019 Jan 25.
In maize, kernel traits strongly impact overall grain yields, and it is known that sophisticated spatiotemporal programs of gene expression coordinate kernel development, so advancing our knowledge of kernel development can help efforts to improve grain yields. Here, using phenotype, genotype and transcriptomics data of maize kernels at 5 and 15 days after pollination (DAP) for a large association mapping panel, we employed multiple quantitative genetics approaches-genome-wide association studies (GWAS) as well as expression quantitative trait loci (eQTL) and quantitative trait transcript (QTT) analyses-to gain insights about molecular genetic basis of kernel development in maize. This resulted in the identification of 137 putative kernel length-related genes at 5 DAP, of which 43 are located in previously reported QTL regions. Strikingly, we identified an eQTL that overlaps the locus encoding a maize homolog of the recently described m A methylation reader protein ECT2 from Arabidopsis; this putative eQTL is associated with 53 genes and may represent a master epi-transcriptomic regulator of kernel development. Notably, among the genes associated with this eQTL, 10 are for the main storage proteins in the maize endosperm (zeins) and two are known regulators of zein expression or endosperm development (Opaque2 and ZmICE1). Collectively, beyond cataloging and characterizing genomic attributes of a large number of eQTL associated with kernel development in maize, our study highlights how an eQTL approach can bolster the impact of both GWAS and QTT studies and can drive insights about the basic biology of plants.
在玉米中,籽粒性状强烈影响整体籽粒产量,众所周知,基因表达的复杂时空程序协调籽粒发育,因此,深入了解籽粒发育可以帮助提高籽粒产量。在这里,我们使用授粉后 5 天和 15 天(DAP)的大型关联图谱的玉米籽粒表型、基因型和转录组学数据,采用多种数量遗传学方法——全基因组关联研究(GWAS)以及表达数量性状基因座(eQTL)和数量性状转录(QTT)分析——深入了解玉米籽粒发育的分子遗传基础。这导致在 5 DAP 时鉴定出 137 个可能与籽粒长度相关的基因,其中 43 个位于先前报道的 QTL 区域。引人注目的是,我们鉴定出一个与编码拟南芥中最近描述的 m A 甲基化读取蛋白 ECT2 同源物的基因座重叠的 eQTL;这个假定的 eQTL 与 53 个基因相关,可能代表籽粒发育的主外转录组调节剂。值得注意的是,与这个 eQTL 相关的基因中,有 10 个是玉米胚乳中的主要贮藏蛋白(醇溶蛋白),两个是已知的醇溶蛋白表达或胚乳发育的调节剂(Opaque2 和 ZmICE1)。总之,除了对与玉米籽粒发育相关的大量 eQTL 的基因组属性进行编目和特征描述外,我们的研究还强调了 eQTL 方法如何增强 GWAS 和 QTT 研究的影响,并可以深入了解植物的基础生物学。