Biology subjects

McClean, P. E.

Publications and source records attributed to McClean, P. E..

4 recordsLinked to original sources

bioRxiv2025

A domestication change at PvMYB26 in common bean sheds light on the origins of Middle American agriculture

Domestication imposed radically different selection pressures on plants, eventually transforming them into the cultivated forms that support global populations today. Here, we investigate the loss of seed dispersal via pod shattering during common bean (Phaseolus vulgaris L.) domestication. We identified an eight-kb deletion eliminating the transcription start site and promoter of the candidate gene PvMYB26. Mutants express PvMYB26 at < 1% of the level of wild types and produce 44% less pod lignin. Whole-genome sequencing revealed that the mutation is nearly diagnostic for domestication status among Middle American common bean, indicating its importance in domestication. We also identified a high-frequency PvMYB26 frameshift/premature stop mutation unique to Andean domesticates. Wild haplotypes most like Middle American domesticates are found in eastern Jalisco, Mexico. Our results suggest that West-Central Mexico was the site of common bean domestication and suggest that this region may have been important in the rise of Middle American agriculture.

evolutionary biology↗

bioRxiv2024

Evolution, diversity, function, and marker-based elimination of the disease susceptibility gene Snn1 in wheat

Septoria nodorum blotch (SNB), caused by Parastagonospora nodorum, is a disease of durum and common wheat initiated by the recognition of pathogen-produced necrotrophic effectors (NEs) by specific wheat genes. The wheat gene Snn1 encodes a wall-associated kinase that directly interacts with the NE SnTox1 leading to the development of SNB. Here, sequence analysis of Snn1 from 114 accessions including diploid, tetraploid and hexaploid wheat species revealed that some wheat lines possess two copies of Snn1 (designated Snn1-B1 and Snn1-B2) approximately 120 kb apart. Snn1-B2 evolved relatively recently as a paralog of Snn1-B1, and both genes have undergone diversifying selection. Three point mutations associated with the formation of the first SnTox1-sensitive Snn1-B1 allele from a primitive wild wheat were identified. Four subsequent and independent SNPs, three in Snn1-B1 and one in Snn1-B2, converted the sensitive alleles to insensitive forms. Protein modeling indicated these four mutations could abolish Snn1-SnTox1 compatibility either through destabilization of the Snn1 protein or direct disruption of the protein-protein interaction. High-throughput markers were developed for the causal mutations and evaluated on panels of durum and common wheat. The markers were able to correctly identify 96.9 % of SnTox1-sensitive durum wheat accessions, and a marker for the null allele was 100% accurate at predicting SnTox1-insensitive lines in both durum and spring wheat. Results of this study increase our understanding of the evolution, diversity, and function of Snn1-B1 and Snn1-B2 genes and will be useful for marker-assisted elimination of these genes for better host resistance.

genetics↗

bioRxiv2023

T and Z, Partial Seed Coat Patterning Genes in Common Bean, Provide Insight into the Structure and Protein Interactions of a Plant MBW Complex

Flavonoids are secondary metabolites associated with seed and flower color. A ternary MBW protein complex consisting of interfacing MYB, beta-helix-loop-helix (bHLH), and WD40 repeat (WDR) proteins controls the expression of late biosynthetic genes in the flavonoid pathway. P, the master regulator gene of flavonoid expression in common bean (Phaseolus vulgaris L.) was recently determined to encode a bHLH protein. Two other genes, T and Z, are also historically considered regulators since they determine the distribution of color in seeds and flowers. These two genes were cloned using reverse genetics based on genetic mapping, candidate gene selection, phylogenetic analysis, and mutant analysis. Domain and AlphaFold2 structure analyses determined T encoded a seven-bladed {beta}-propeller WDR protein, while Z encoded a R2R3 MYB protein. Modeling of the Z MYB/P bHLH/T WDR MBW complex identified interfacing sequence domains and motif in all three genes that are conserved in dicots. One Z MYB motif is a possible {beta}-MoRF that only appears in a structured state when Z MYB is modeled in a MBW complex. Complexes containing mutant T and Z proteins changed the interaction of members of the complex in ways that would alter their role in regulating expression of genes in the flavonoid pathway. HighlightThe MBW complex of bean comprised of the classic Z, P, and T genes associated with seed coat patterning defines critical proteins interactions for flavonoid gene expression.

genetics↗

bioRxiv2019

Genetic Associations in Four Decades of Multi-Environment Trials Reveal Agronomic Trait Evolution in Common Bean

Multi-environment trials (METs) are widely used to assess the performance of promising crop germplasm. Though seldom designed to elucidate genetic mechanisms, MET datasets are often much larger than could be duplicated for genetic research and, given proper interpretation, may offer valuable insights into the genetics of adaptation across time and space. The Cooperative Dry Bean Nursery (CDBN) is a MET for common bean (Phaseolus vulgaris) grown for over 70 years in the United States and Canada, consisting of 20 to 50 entries each year at 10 to 20 locations. The CBDN provides a rich source of phenotypic data across entries, years, and locations that is amenable to genetic analysis. To study stable genetic effects segregating in this MET, we conducted genome-wide association (GWAS) using best linear unbiased predictions (BLUPs) derived across years and locations for 21 CDBN phenotypes and genotypic data (1.2M SNPs) for 327 CDBN genotypes. The value of this approach was confirmed by the discovery of three candidate genes and genomic regions previously identified in balanced GWAS. Multivariate adaptive shrinkage (mash) analysis, which increased our power to detect significant correlated effects, found significant effects for all phenotypes. The first use of mash on an agricultural dataset discovered two genomic regions with pleiotropic effects on multiple phenotypes, likely selected on in pursuit of a crop ideotype. Overall, our results demonstrate that by applying multiple statistical genomic approaches on data mined from MET phenotypic data sets, significant genetic effects that define genomic regions associated with crop improvement can be discovered.

genomics↗