Pantalião Gabriel Feresin, Narciso Marcelo, Guimarães Cléber, Castro Adriano, Colombari José Manoel, Breseghello Flavio, Rodrigues Luana, Vianello Rosana Pereira, Borba Tereza Oliveira, Brondani Claudio
Escola de Agronomia, Universidade Federal de Goiás, Goiânia, GO, CEP 74.690-900, Brazil.
Embrapa Arroz e Feijão, CP 179, Goiânia, GO, CEP 74001-970, Brazil.
Genetica. 2016 Dec;144(6):651-664. doi: 10.1007/s10709-016-9932-z. Epub 2016 Oct 8.
The identification of rice drought tolerant materials is crucial for the development of best performing cultivars for the upland cultivation system. This study aimed to identify markers and candidate genes associated with drought tolerance by Genome Wide Association Study analysis, in order to develop tools for use in rice breeding programs. This analysis was made with 175 upland rice accessions (Oryza sativa), evaluated in experiments with and without water restriction, and 150,325 SNPs. Thirteen SNP markers associated with yield under drought conditions were identified. Through stepwise regression analysis, eight SNP markers were selected and validated in silico, and when tested by PCR, two out of the eight SNP markers were able to identify a group of rice genotypes with higher productivity under drought. These results are encouraging for deriving markers for the routine analysis of marker assisted selection. From the drought experiment, including the genes inherited in linkage blocks, 50 genes were identified, from which 30 were annotated, and 10 were previously related to drought and/or abiotic stress tolerance, such as the transcription factors WRKY and Apetala2, and protein kinases.
鉴定水稻耐旱材料对于开发适合旱作栽培系统的优良品种至关重要。本研究旨在通过全基因组关联研究分析鉴定与耐旱性相关的标记和候选基因，以便开发用于水稻育种计划的工具。该分析使用了175份旱稻种质（水稻），在有水限制和无水限制的试验中进行评估，并使用了150325个单核苷酸多态性（SNP）。鉴定出13个与干旱条件下产量相关的SNP标记。通过逐步回归分析，选择了8个SNP标记并进行了电子验证，当通过聚合酶链反应（PCR）测试时，8个SNP标记中有2个能够鉴定出一组在干旱条件下具有较高生产力的水稻基因型。这些结果对于推导用于标记辅助选择常规分析的标记来说是令人鼓舞的。从干旱试验中，包括连锁块中遗传的基因，鉴定出50个基因，其中30个得到注释，10个先前与干旱和/或非生物胁迫耐受性相关，如转录因子WRKY和花椰菜2，以及蛋白激酶。
