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Comparative mapping combined with homology-based cloning of the rice genome reveals candidate genes for grain zinc and iron concentration in maize

机译:比较作图结合基于同源性的水稻基因组克隆揭示了玉米中锌和铁含量的候选基因

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Background Grain zinc and iron concentration is a complex trait that is controlled by quantitative trait loci (QTL) and is important for maintaining body health. Despite the substantial effort that has been put into identifying QTL for grain zinc and iron concentration, the integration of independent QTL is useful for understanding the genetic foundation of traits. The number of QTL for grain zinc and iron concentration is relatively low in a single species. Therefore, combined analysis of different genomes may help overcome this challenge. Results As a continuation of our work on maize, meta-analysis of QTL for grain zinc and iron concentration in rice was performed to identify meta-QTL (MQTL). Based on MQTL in rice and maize, comparative mapping combined with homology-based cloning was performed to identify candidate genes for grain zinc and iron concentration in maize. In total, 22 MQTL in rice, 4 syntenic MQTL-related regions, and 3 MQTL-containing candidate genes in maize (ortho-mMQTL) were detected. Two maize orthologs of rice, GRMZM2G366919 and GRMZM2G178190, were characterized as natural resistance-associated macrophage protein (NRAMP) genes and considered to be candidate genes. Phylogenetic analysis of NRAMP genes among maize, rice, and Arabidopsis thaliana further demonstrated that they are likely responsible for the natural variation of maize grain zinc and iron concentration. Conclusions Syntenic MQTL-related regions and ortho-mMQTL are prime areas for future investigation as well as for marker-assisted selection breeding programs. Furthermore, the combined method using the rice genome that was used in this study can shed light on other species and help direct future quantitative trait research. In conclusion, these results help elucidate the molecular mechanism that underlies grain zinc and iron concentration in maize.
机译:背景技术谷物中锌和铁的浓度是一个复杂的性状,受数量性状基因座(QTL)控制,对维持身体健康很重要。尽管在确定谷物锌和铁含量的QTL方面已付出了巨大的努力,但整合独立的QTL有助于理解性状的遗传基础。在单个物种中,谷物锌和铁浓度的QTL数量相对较低。因此,对不同基因组的综合分析可能有助于克服这一挑战。结果作为我们在玉米研究上的一项工作的继续,我们对稻米中谷物锌和铁的含量进行了QTL荟萃分析,以鉴定Meta-QTL(MQTL)。基于水稻和玉米中的MQTL,进行比较作图并结合基于同源性的克隆,以鉴定玉米中锌和铁浓度的候选基因。总共检测到了水稻中的22个MQTL,4个与MQTL同源的相关区域和3个玉米中含MQTL的候选基因(邻位mMQTL)。水稻的两个玉米直系同源基因GRMZM2G366919和GRMZM2G178190被鉴定为天然抗性相关巨噬细胞蛋白(NRAMP)基因,被认为是候选基因。玉米,水稻和拟南芥中NRAMP基因的系统发育分析进一步表明,它们可能是玉米籽粒锌和铁浓度自然变化的原因。结论同步MQTL相关区域和邻mMQTL是未来研究以及标记辅助选择育种计划的主要领域。此外,本研究中使用的水稻基因组的联合方法可以阐明其他物种,并有助于指导未来的数量性状研究。总之,这些结果有助于阐明构成玉米中锌和铁浓度的分子机制。

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