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大豆基因型对巴西 Sclerotinia sclerotiorum 分离株的抗性的全基因组关联图谱分析,这些基因型主要来自巴西。

Genome-wide association mapping of resistance to a Brazilian isolate of Sclerotinia sclerotiorum in soybean genotypes mostly from Brazil.

机构信息

Department of Crop Sciences, University of Illinois, Urbana, IL, 61801, USA.

Universidade Federal de Uberlândia, Umuarama campus, Uberlândia, MG, Brazil.

出版信息

BMC Genomics. 2017 Nov 7;18(1):849. doi: 10.1186/s12864-017-4160-1.

Abstract

BACKGROUND

Sclerotinia Stem Rot (SSR), caused by the fungal pathogen Sclerotinia sclerotiorum, is ubiquitous in cooler climates where soybean crops are grown. Breeding for resistance to SSR remains challenging in crops like soybean, where no single gene provides strong resistance, but instead, multiple genes work together to provide partial resistance. In this study, a genome-wide association study (GWAS) was performed to dissect the complex genetic architecture of soybean quantitative resistance to SSR and to provide effective molecular markers that could be used in breeding programs. A collection of 420 soybean genotypes were selected based on either reports of resistance, or from one of three different breeding programs in Brazil, two commercial, one public. Plant genotype sensitivity to SSR was evaluated by the cut stem inoculation method, and lesion lengths were measured at 4 days post inoculation.

RESULTS

Genotyping-by-sequencing was conducted to genotype the 420 soybean lines. The TASSEL 5 GBSv2 pipeline was used to call SNPs under optimized parameters, and with the extra step of trimming adapter sequences. After filtering missing data, heterozygosity, and minor allele frequency, a total of 11,811 SNPs and 275 soybean genotypes were obtained for association analyses. Using a threshold of FDR-adjusted p-values <0.1, the Compressed Mixed Linear Model (CMLM) with Genome Association and Prediction Integrated Tool (GAPIT), and the Fixed and Random Model Circulating Probability Unification (FarmCPU) methods, both approaches identified SNPs with significant association to disease response on chromosomes 1, 11, and 18. The CMLM also found significance on chromosome 19, whereas FarmCPU also identified significance on chromosomes 4, 9, and 16.

CONCLUSIONS

These similar and yet different results show that the computational methods used can impact SNP associations in soybean, a plant with a high degree of linkage disequilibrium, and in SSR resistance, a trait that has a complex genetic basis. A total of 125 genes were located within linkage disequilibrium of the three loci shared between the two models. Their annotations and gene expressions in previous studies of soybean infected with S. sclerotiorum were examined to narrow down the candidates.

摘要

背景

由真菌病原体核盘菌引起的茎基腐烂病(SSR)在种植大豆的凉爽气候中无处不在。在像大豆这样的作物中,培育对 SSR 的抗性仍然具有挑战性,因为没有单个基因提供强抗性,而是多个基因共同作用提供部分抗性。在这项研究中,进行了全基因组关联研究(GWAS),以剖析大豆对 SSR 数量抗性的复杂遗传结构,并提供可用于育种计划的有效分子标记。根据对 SSR 的抗性报告或来自巴西三个不同育种计划的报告,选择了 420 个大豆基因型,其中两个是商业计划,一个是公共计划。通过切割茎接种法评估植物基因型对 SSR 的敏感性,并在接种后 4 天测量病变长度。

结果

对 420 个大豆品系进行了测序分型。使用 TASSEL 5 GBSv2 管道根据优化的参数调用 SNP,并通过额外的修剪接头序列步骤。在过滤缺失数据、杂合性和次要等位基因频率后,共获得 11811 个 SNP 和 275 个大豆基因型进行关联分析。使用 FDR 调整后 p 值<0.1 的阈值,使用压缩混合线性模型(CMLM)与基因组关联和预测综合工具(GAPIT)和固定和随机模型循环概率统一(FarmCPU)方法,两种方法都在染色体 1、11 和 18 上鉴定到与疾病反应显著相关的 SNP。CMLM 还在染色体 19 上发现了显著结果,而 FarmCPU 还在染色体 4、9 和 16 上发现了显著结果。

结论

这些相似但又不同的结果表明,用于大豆的计算方法可以影响 SNP 关联,大豆是一种具有高度连锁不平衡的植物,而 SSR 抗性是一种具有复杂遗传基础的性状。在两个模型共享的三个位点中,共鉴定到 125 个基因位于连锁不平衡范围内。检查了这些基因在先前研究中与大豆感染核盘菌相关的注释和基因表达,以缩小候选基因的范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3699/5674791/e48ac903f0f6/12864_2017_4160_Fig1_HTML.jpg

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