Natural variation in Arabidopsis thaliana rosette area unveils new genes involved in plant development.

Natural variation in Arabidopsis thaliana rosette area unveils new genes involved in plant development.
复制标题

DOI:
10.1038/s41598-020-74723-4
复制
发表时间:
2020-10-19
期刊:
影响因子:
4.6
通讯作者:
Elena SF
Elena SF
中科院分区:
综合性期刊3区
文献类型:
--
作者:
González R;Butković A;Rivarez MPS;Elena SF

文献摘要

参考文献

被引文献

相似文献

生长是一种复杂的性状,受多个基因的影响,这些基因在生物体发育的不同时刻起作用。这使得很难发现其潜在的遗传机制。由于植物生长与有效叶表面积(艾尔莎)密切相关,确定控制这一性状的基因将有助于我们理解植物生长。为了寻找对植物生长有重要贡献的新基因,我们利用拟南芥的自然变异进行了艾尔莎的全基因组关联研究。为了做到这一点,710世界各地分布的自然种质的投影莲座丛面积测量和分析使用全基因组高效混合模型关联算法。从该分析中,鉴定出具有与艾尔莎显著相关的SNP的10个基因。为了验证这些基因在A. thaliana生长,其中6个通过表型敲除突变体植物进一步研究。观察到rem1.2、orc1a、ppd1和mcm4突变体显示出不同程度的莲座大小减小,从而证实了这些基因在植物生长中的作用。我们的研究确定了已知参与植物生长的基因,但也首次将这一作用分配给了其他基因。
Growth is a complex trait influenced by multiple genes that act at different moments during the development of an organism. This makes it difficult to spot its underlying genetic mechanisms. Since plant growth is intimately related to the effective leaf surface area (ELSA), identifying genes controlling this trait will shed light on our understanding of plant growth. To find new genes with a significant contribution to plant growth, here we used the natural variation in Arabidopsis thaliana to perform a genome-wide association study of ELSA. To do this, the projected rosette area of 710 worldwide distributed natural accessions was measured and analyzed using the genome-wide efficient mixed model association algorithm. From this analysis, ten genes were identified having SNPs with a significant association with ELSA. To validate the implication of these genes into A. thaliana growth, six of them were further studied by phenotyping knock-out mutant plants. It was observed that rem1.2, orc1a, ppd1, and mcm4 mutants showed different degrees of reduction in rosette size, thus confirming the role of these genes in plant growth. Our study identified genes already known to be involved in plant growth but also assigned this role, for the first time, to other genes.
DOI: 10.3732/apps.1400033
发表时间: 2014-07
影响因子: 3.6
作者:
Easlon HM;Bloom AJ
通讯作者: Bloom AJ
DOI: 10.1172/jci61014
发表时间: 2012-03-01
影响因子: 15.9
作者:
Gineau, Laure;Cognet, Celine;Jouanguy, Emmanuelle
通讯作者: Jouanguy, Emmanuelle
DOI: 10.1126/science.199.4331.888
发表时间: 1978-01-01
期刊: SCIENCE
影响因子: 56.9
作者:
HONDA, H;FISHER, JB
通讯作者: FISHER, JB
DOI: 10.1371/journal.pone.0070384
发表时间: 2013
期刊: PloS one
影响因子: 3.7
作者:
Chiu CC;Chen LJ;Su PH;Li HM
通讯作者: Li HM
DOI: 10.1105/tpc.16.00483
发表时间: 2016-10-01
期刊: PLANT CELL
影响因子: 11.6
作者:
Clauw, Pieter;Coppens, Frederik;Inze, Dirk
通讯作者: Inze, Dirk