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McGee, R. J.

Publications and source records attributed to McGee, R. J..

3 recordsLinked to original sources

Bacterial communities associated with food-quality winter pea cultivars grown in Pacific Northwest soils

Background and aimsBreeding legume for improved yield and seed quality, coupled with extensive use of fertilization may disrupt the ability of modern cultivars to interact with native microbiome. Autumn-sown food-quality winter pea (WP) represent new crop in the Pacific Northwest (PNW). However, little is known about the ability of these cultivars to establish associations with bacteria native to PNW soils. MethodsWe evaluated soil, root and nodule microbiomes associated with four WP cultivars in diverse locations across Washington state with the goal to better understand the interaction occurring between WP cultivars and bacterial communities native to PNW soils. ResultsRoot and nodule microbiomes were affected by sampling event, while plant genotype only affected nodule microbiome. A diverse population of native rhizobia colonized WP roots, while a smaller subset of these bacteria colonized WP nodules. Three rhizobial ASVs had relatively low abundance in the soils but were dominant in nodule-associated microbiome regardless of the variation of soil parameters between locations, indicating their strong attraction to host-plant nodules. Several non-rhizobial taxa were apparently enriched in nodules. However, in-depth study of legume root and nodule microbiome is required to better understand interactions within this complex phytobiome. ConclusionWP cultivars can form nodules in PNS soils in fall, but environmental factors have a strong effect on this process. While the complementation of legume nodule microbiome with root-associated microbiome analysis might be a useful tool, studies focusing on mature nodules with increased depth of sequencing might provide a better resolution of nodule-specific residents.

ecology↗

Multi-trait genomic prediction improves selection accuracy for enhancing seed mineral concentrations in pea (Pisum sativum L.)

The superiority of multi-trait genomic selection (MT-GS) over univariate genomic selection (UNI-GS) can be improved by redesigning the phenotyping strategy. In this study, we used about 300 advanced breeding lines from North Dakota State University (NDSU) pulse breeding program and about 200 USDA accessions evaluated for ten nutritional traits to assess the efficiency of sparse testing in MT-GS. Our results showed that sparse phenotyping using MT-GS consistently outperformed UNI-GS when compared to partially balanced phenotyping using MT-GS. This strategy can be further extended to multi-environment multi-trait GS to improve prediction performance and reduce the cost of phenotyping and time-consuming data collection process. Given that MT-GS relies on borrowing information from genetically correlated traits and relatives, consideration should be given to trait combinations in the training and prediction sets to improve model parameters estimate and ultimately prediction performance. Our results point to heritability and genetic correlation between traits as possible parameters to achieve this objective.

genetics↗

Genomic rearrangements have consequences for introgression breeding as revealed by genome assemblies of wild and cultivated lentil species

Understanding the genomic relationship between wild and cultivated genomes would facilitate access to the untapped variability found in crop wild relatives. We developed genome assemblies of a cultivated lentil (Lens culinaris) as well as a wild relative (L. ervoides). Comparative analyses revealed large-scale structural rearrangements and additional repetitive DNA in the cultivated genome, resulting in regions of reduced recombination, segregation distortion and permanent heterozygosity in the offspring of a cross between the two species. These novel findings provide plant breeders with better insight into how best to approach accessing the novel variability available in wild relatives.

plant biology↗