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亚麻花和叶片相关性状的全基因组关联分析.

Authors :
伊六喜
贾霄云
高凤云
周 宇
斯钦巴特尔
Source :
Southwest China Journal of Agricultural Sciences. 2022, Vol. 35 Issue 5, p1023-1038. 16p.
Publication Year :
2022

Abstract

[Obj ective] The present paper aimed to study genetic variation of flower and leaf traits of flax, and to provide basis for germplasm innovation of flax. [Method] Genome-wide association analysis was used to detect SNP sites and candidate genes that were significantly associated with related traits in flax flowers and leaves. [Result] Among the 269 flax materials tested, the most ( 56. 50%) of petals were blue. The most corolla shape was pentagonal ( 42. 75%) . Most of the anthers were blue (86. 61 % ) . The most common leaf color was dark green (58. 73%) . Most of the leaves were lanceolate ( 56. 87%) . Genome-wide association analysis revealed 3 SNP and 8 candidate genes that were significantly associated with flax color. Lusl 0033621 ( pectinesterase) and Lusl 0007409 ( 13-galactoside) genes were involved in the regulation of flax color formation . There were 3 SNP loci significantly associated with corolla shape and 6 candidate genes, among which Lusl0000554 ( leucine-rich PPR motif) gene was closely related to corolla development. One SNP locus was found to be significantly associated with anther color of flax, and five candidate genes were identified. Lusl0010403 ( anthocyanin reductase) gene was directly involved in anthocyanin metabolism. One SNP locus and four candidate genes were detected, among which Lusl0005600 ( PPR motif protein rich in leucine) was involved in regulating leaf color formation. Three SNP loci significantly associated with leaf shape were detected, and five candidate genes were identified, among which Lusl 0033007 gene was involved in regulating the formation of leaf internal structure. [ Conclusion] Flax flowers and anthers are mainly blue. Genome-wide association analysis can detect key candidate genes for association between flowers and leaves. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10014829
Volume :
35
Issue :
5
Database :
Academic Search Index
Journal :
Southwest China Journal of Agricultural Sciences
Publication Type :
Academic Journal
Accession number :
157422302
Full Text :
https://doi.org/10.16213/j.cnki.scjas.2022.5.006