Genome‐wide association studies (GWAS) have proven to be a valuable approach for identifying genetic intervals associated with phenotypic variation in Medicago truncatula. These intervals can vary in size, depending on the historical local recombination. Typically, significant intervals span numerous gene models, limiting the ability to resolve high‐confidence candidate genes underlying the trait of interest. Additional genomic data, including gene co‐expression networks, can be combined with the genetic mapping information to successfully identify candidate genes. Co‐expression network analysis provides information about the functional relationships of each gene through its similarity of expression patterns to other well‐defined clusters of genes. In this study, we integrated data from GWAS and co‐expression networks to pinpoint candidate genes that may be associated with nodule‐related phenotypes in M. truncatula. We further investigated a subset of these genes and confirmed that several had existing evidence linking them nodulation, including MEDTR2G101090 (PEN3‐like), a previously validated gene associated with nodule number.

中文翻译：

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使用全基因组关联研究和共表达网络鉴定Medi藜苜蓿中与结节相关的基因。

全基因组关联研究（GWAS）已被证明是鉴定与Medi藜苜蓿表型变异相关的遗传间隔的有价值的方法。这些间隔的大小可能会有所不同，具体取决于历史本地重组。通常，很大的时间间隔跨越许多基因模型，从而限制了解析潜在感兴趣特征的高可信度候选基因的能力。可以将其他基因组数据（包括基因共表达网络）与遗传图谱信息结合起来，以成功识别候选基因。共表达网络分析通过每个基因与其他定义良好的基因簇的表达模式相似性，提供有关每个基因功能关系的信息。在这项研究中，我们整合了来自GWAS和共表达网络的数据，以查明可能与t藜支原体相关表型有关的候选基因。。我们进一步研究了这些基因的一个子集，并确认了其中一些已有证据证明它们与结节有关，包括MEDTR2G101090（PEN3-like），这是一个经过验证的与结节编号相关的基因。