Genome-wide association analysis of time to heading and maturity in bread wheat using 55K microarrays.

To investigate the genetic mechanisms underlying the reproductive traits (time to flowering and maturity) in wheat and identify candidate genes associated, a phenotypic analysis was conducted on 239 wheat accessions (lines) from around the world. A genome-wide association study (GWAS) of wheat heading and maturity phases was performed using the MLM (Q+K) model in the TASSLE software, combined with the Wheat 55K SNP array. The results revealed significant phenotypic variation in heading and maturity among the wheat accessions across different years, with coefficients of variation ranging from 0.96% to 1.97%. The phenotypic data from different years exhibited excellent correlation, with a genome-wide linkage disequilibrium (LD) attenuation distance of 3 Mb. Population structure analysis, evolutionary tree analysis, and principal component analysis indicated that the 239 wheat accessions formed a relatively homogeneous natural population, which could be divided into three subgroups. The GWAS results identified a total of 293 SNP marker loci that were significantly associated with wheat heading and maturity stages (P ≤ 0.001) in different environments. Among them, nine stable SNP marker loci were consistently detected in multiple environments. These marker loci were distributed on wheat chromosomes 1A、1B、2D、3A、5B、6D and 7A. Each individual locus explained 4.03%-16.06% of the phenotypic variation. Furthermore, through careful analysis of the associated loci with large phenotypic effect values and stable inheritance, a total of nine candidate genes related to wheat heading and maturity stages were identified. These findings have implications for molecular marker-assisted selection breeding programs targeting specific wheat traits at the heading and maturity stages. In summary, this study conducted a comprehensive GWAS of wheat heading and maturity phases, revealing significant associations between genetic markers and key developmental stages in wheat. The identification of candidate genes and marker loci provides valuable information for further studies on wheat breeding and genetic improvement targeted at enhancing heading and maturity traits.

Identification and expression analysis of the small auxin-up RNA (SAUR) gene family in apple by inducing of auxin.

The small auxin-up RNA (SAUR) family plays a vital role in the regulation of plant growth and development. We identified 80 MdSAUR genes in this study. Phylogenetic analysis indicated that the SAUR proteins from Arabidopsis, rice, and apple were divided into six groups. Of the 80 MdSAURs, 71 were randomly distributed along the 17 chromosomes, while the remaining genes were located along unassigned scafoolds. Among them, a comprehensive overview of SAUR gene family is presented, including gene structures, chromosome locations, duplication and selection pressure analyses, synteny and promoter analyses, and protein interaction. The expression profiles based on microarray data found that 80 genes showed increased expression levels in at least one tissue including seed, seedling, root, stem, leaf, flower, fruit 100daa, and harvested fruit. MdSAUR7 possibly regulate the development of flower organs, and MdSAUR15, MdSAUR24, and MdSAUR80 promote the growth of fruits by regulating cell division. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis indicated the expression levels of 79 MdSAUR genes in leaves under exogenous IAA treatment. MdSAUR4, MdSAUR22, MdSAUR37, MdSAUR38, MdSAUR49, and MdSAUR54 were up-regulated after IAA treatment compared with the control, indicating that they may play specific roles in the IAA signaling transduction pathway. This work provided a foundation for further investigations for the functional analyses of SAURs in apple.