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Majidi, M. M.

Publications and source records attributed to Majidi, M. M..

3 recordsLinked to original sources

Positive selection on hotspot and reinforcing regulatory alleles contributed to hexaploid bread wheat improvement.

BackgroundGenetic variation of regulatory alleles plays a key role in evolution and breeding. In polyploids, regulatory differences may preferentially affect genes on homoeologous chromosomes or sub-genomes. Selection in plant breeding may act upon total transcript dosage across homoeologous genes and on alleles that have strong effects on the transcriptome. ResultsTo investigate these questions, we identified regulatory polymorphisms between an old and a recent hexaploid bread wheat cultivar (Triticum aestivum, 2n=6x=42, AABBDD). The recent cultivar was the product of decades of selection for grain yield and quality. Regulatory allele polymorphisms preferentially affected genes on homoeologous chromosomes but rarely affected genes on specific sub-genomes. The chromosomal distributions of regulatory alleles indicated that past selection had acted upon them, and the effect of selection differed between alleles targeting environmental response genes and genes involved in other processes. Modern cultivar alleles that affected many genes transcripts corresponded to known selection targets and improved field crop performance. Modern cultivar alleles also had significant effects on homoeologous genes, and these alleles also improved crop performance. ConclusionsPolyploid breeding across many species has been and will continue to be the key factor in plant improvement. By enhancing the favorability of strong regulatory alleles and by expanding the range of gene transcript abundances, genome duplications enable breeding progress.

genomics↗

Relationships of Worldwide Onobrychis species: from seed & pod morphology and molecular perspective

The present study aimed to investigate the phylogeny of 31 Onobrychis species with the help of seed and fruit macro & micro-morphological traits and ISSR molecular markers. The species were found to be highly variable in their seed and fruit morphological traits. Also, a new type of fruit (O. crista galli type), in addition to the three predefined types of fruit, was introduced. From molecular perspective, a set of 22 ISSR primers were shown to have a good efficiency for genetic discrimination among the species. Bayesian model based STRUCTURE analysis grouped the genotypes into 4 genetic clusters, and the high value of Fst calculated for these clusters indicated a high level of genetic differentiation among them. On the other hand, based on the Maximum Likelihood phylogenetic tree, our results are in agreement with the subgenus classification (Onobrychis and Sisyrosema), while contrary to Sisyrosema, the Onobrychis subgenus (the Lophobrychis and Onobrychis sections) appears not to be monophyletic. Furthermore, in contrast to the traditional taxonomic classification, species belonging to the Lophobrychis section do not form a coherent group, indicating that this section could be considered as a heterogeneous unit and perhaps could be merge into the Onobrychis section. HighlightThis paper discusses a worldwide phylogenic analysis and population structures of Onobrychis genus. The results of this paper provide a comprehensive answer to complexity of subgenus and section discrimination.

evolutionary biology↗

Genome-wide association study revealed loci linked to post-drought recovery and traits related to persistence of smooth bromegrass (Bromus inermis)

Association analysis has been proved as a powerful tool for genetic dissection of complex traits. This study was conducted to identify marker-trait associations for recovery, persistence, and as well as finding stable associations. In this study, a diverse panel of polycross derived progenies of smooth bromegrass was phenotyped under normal and water stress, during three consecutive years. Association analysis was performed between nine important agronomic traits along with three seasonal growth activity indices based on 535 SRAP markers. Population structure analysis identified five main subpopulations possessing significant genetic differences. Association analysis using mixed linear mode1 identified 339 and 233 marker-trait associations under normal and water stress environments, respectively. Some of these markers were associated with more than one trait; which can be attributed to pleiotropic effects or to a number of tightly linked genes affecting several traits. If the effectiveness of these markers in genetic control of these traits is validated, they could be potentially used for initiation of marker-assisted selection and targeted trait introgression of smooth bromegrass under normal and water stress environments. HighlightIn this study, stable marker-trait associations (MTAs) between years and moisture regimes (normal and water stress environments) were identified in a diverse panel of polycross derived progenies of smooth bromegrass.

genetics↗