Lu Kun, Peng Liu, Zhang Chao, Lu Junhua, Yang Bo, Xiao Zhongchun, Liang Ying, Xu Xingfu, Qu Cunmin, Zhang Kai, Liu Liezhao, Zhu Qinlong, Fu Minglian, Yuan Xiaoyan, Li Jiana
College of Agronomy and Biotechnology, Southwest University Chongqing, China.
College of Agronomy and Biotechnology, Southwest UniversityChongqing, China; School of Management, Xihua UniversityChengdu, China.
Front Plant Sci. 2017 Feb 15;8:206. doi: 10.3389/fpls.2017.00206. eCollection 2017.
Yield is one of the most important yet complex crop traits. To improve our understanding of the genetic basis of yield establishment, and to identify candidate genes responsible for yield improvement in , we performed genome-wide association studies (GWAS) for seven yield-determining traits [main inflorescence pod number (MIPN), branch pod number (BPN), pod number per plant (PNP), seed number per pod (SPP), thousand seed weight, main inflorescence yield (MIY), and branch yield], using data from 520 diverse accessions from two different yield environments. In total, we detected 128 significant single nucleotide polymorphisms (SNPs), 93 of which were revealed as novel by integrative analysis. A combination of GWAS and transcriptome sequencing on 21 haplotype blocks from samples pooled by four extremely high-yielding or low-yielding accessions revealed the differential expression of 14 crucial candiate genes (such as , and ) associated with multiple traits or containing multiple SNPs associated with the same trait. Functional annotation and expression pattern analyses further demonstrated that these 14 candiate genes might be important in developmental processes and biomass accumulation, thus affecting the yield establishment of . These results provide valuable information for understanding the genetic mechanisms underlying the establishment of high yield in , and lay the foundation for developing high-yielding varieties.
产量是最重要但又复杂的作物性状之一。为了增进我们对产量形成遗传基础的理解,并鉴定出负责提高[作物名称]产量的候选基因,我们利用来自两个不同产量环境的520份不同[作物名称]种质的数据,对七个产量决定性状[主花序荚数(MIPN)、分枝荚数(BPN)、单株荚数(PNP)、每荚粒数(SPP)、千粒重、主花序产量(MIY)和分枝产量]进行了全基因组关联研究(GWAS)。我们总共检测到128个显著的单核苷酸多态性(SNP),其中93个通过综合分析被揭示为新的。对由四个极高产或低产种质汇集的样本中21个单倍型块进行GWAS和转录组测序相结合的分析,揭示了14个关键候选基因(如[基因名称列举])的差异表达,这些基因与多个性状相关或包含与同一性状相关的多个SNP。功能注释和表达模式分析进一步表明,这14个候选基因可能在发育过程和生物量积累中起重要作用,从而影响[作物名称]的产量形成。这些结果为理解[作物名称]高产形成的遗传机制提供了有价值的信息,并为培育高产[作物名称]品种奠定了基础。