| Literature DB >> 24388529 |
Lorenzo Raggi1, Carlo Tissi2, Andrea Mazzucato3, Valeria Negri4.
Abstract
The aim of this study was to investigate the flowering variation and the molecular polymorphism in key regulatory genes that control flowering in a Phaseolus vulgaris L. collection of 94 accessions from Europe and the Americas. The analysis of variance revealed that the difference in days-to-flowering between accessions was significant, with European accessions characterized by flowering precocity. Population structure analysis corroborated previous data on the genetic distinction between the Andean and Mesoamerican gene pools. A low level of admixture was detected. Genomic sequences of 15 gene fragments were obtained. About 7.0 kb per accession were sequenced and a total of 48 nucleotide substitutions identified. A Mixed Linear Model analysis, including population structure and kinship, was used to identify marker-trait associations. Haplotype tagging single nucleotide polymorphisms (htSNPs) associated with the studied traits were detected: in PvVRN1 and PvPHYB with days-to-flowering, in PvMYB29 with number of flower buds per inflorescence and in PvTFL1z and PvFCA with inflorescence length. The two genes associated with days-to-flowering control belong to the photoperiod and vernalization pathways. In particular, the PvVRN1 gene appears to play an important role in regulating the adaptation process of common bean.Entities:
Keywords: AM; Association Mapping; BLASTn; Basic local alignment search tool nucleotide; Candidate genes; FDR; Flowering time; MLM; Marker-trait association; Mixed Linear Model; Phaseolus vulgaris L.; VRN1 gene; days; days-to-flowering; dd; dof; dtf; duration of flowering; false discovery rate; fbi; fbs; flower bud size; flower buds per inflorescence; growth habit; gwh; haplotype tagging SNP; htSNP; inflorescence length; inl; lat; latitude of origin; nms; nodes on the main stem
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Year: 2013 PMID: 24388529 DOI: 10.1016/j.plantsci.2013.11.001
Source DB: PubMed Journal: Plant Sci ISSN: 0168-9452 Impact factor: 4.729