Ueda Yoshiaki, Frimpong Felix, Qi Yitao, Matthus Elsa, Wu Linbo, Höller Stefanie, Kraska Thorsten, Frei Michael
Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Karlrobert-Kreiten Strasse 13, 53115 Bonn, Germany.
Key Laboratory of Crop Genetics & Physiology of Jiangsu Province, Yangzhou University, Yangzhou 225009, PR China.
J Exp Bot. 2015 Jan;66(1):293-306. doi: 10.1093/jxb/eru419. Epub 2014 Nov 4.
Tropospheric ozone causes various negative effects on plants and affects the yield and quality of agricultural crops. Here, we report a genome-wide association study (GWAS) in rice (Oryza sativa L.) to determine candidate loci associated with ozone tolerance. A diversity panel consisting of 328 accessions representing all subgroups of O. sativa was exposed to ozone stress at 60 nl l(-1) for 7h every day throughout the growth season, or to control conditions. Averaged over all genotypes, ozone significantly affected biomass-related traits (plant height -1.0%, shoot dry weight -15.9%, tiller number -8.3%, grain weight -9.3%, total panicle weight -19.7%, single panicle weight -5.5%) and biochemical/physiological traits (symptom formation, SPAD value -4.4%, foliar lignin content +3.4%). A wide range of genotypic variance in response to ozone stress were observed in all phenotypes. Association mapping based on more than 30 000 single-nucleotide polymorphism (SNP) markers yielded 16 significant markers throughout the genome by applying a significance threshold of P<0.0001. Furthermore, by determining linkage disequilibrium blocks associated with significant SNPs, we gained a total of 195 candidate genes for these traits. The following sequence analysis revealed a number of novel polymorphisms in two candidate genes for the formation of visible leaf symptoms, a RING and an EREBP gene, both of which are involved in cell death and stress defence reactions. This study demonstrated substantial natural variation of responses to ozone in rice and the possibility of using GWAS in elucidating the genetic factors underlying ozone tolerance.
对流层臭氧对植物会产生多种负面影响,并影响农作物的产量和质量。在此,我们报告了一项在水稻(Oryza sativa L.)中进行的全基因组关联研究(GWAS),以确定与耐臭氧性相关的候选基因座。一个由代表水稻所有亚组的328份种质组成的多样性群体,在整个生长季节每天暴露于60 nl l(-1) 的臭氧胁迫下7小时,或处于对照条件下。在所有基因型中,臭氧显著影响了与生物量相关的性状(株高 -1.0%、地上部干重 -15.9%、分蘖数 -8.3%、粒重 -9.3%、总穗重 -19.7%、单穗重 -5.5%)以及生化/生理性状(症状形成、SPAD值 -4.4%、叶片木质素含量 +3.4%)。在所有表型中均观察到了对臭氧胁迫响应的广泛基因型变异。基于超过30000个单核苷酸多态性(SNP)标记的关联图谱分析,通过应用P<0.0001的显著性阈值,在全基因组中产生了16个显著标记。此外,通过确定与显著SNP相关的连锁不平衡区域,我们总共获得了195个与这些性状相关的候选基因。随后的序列分析在两个与可见叶症状形成相关的候选基因(一个RING基因和一个EREBP基因)中发现了许多新的多态性,这两个基因均参与细胞死亡和应激防御反应。本研究证明了水稻对臭氧响应存在大量自然变异,以及利用GWAS阐明耐臭氧性潜在遗传因素的可能性。