Genomic characterization and gene bank curation of Aegilops: the wild relatives of wheat

Front Plant Sci. 2023 Oct 17:14:1268370. doi: 10.3389/fpls.2023.1268370. eCollection 2023.

Abstract

Genetic diversity found in crop wild relatives is critical to preserve and utilize for crop improvement to achieve sustainable food production amid climate change and increased demand. We genetically characterized a large collection of 1,041 Aegilops accessions distributed among 23 different species using more than 45K single nucleotide polymorphisms identified by genotyping-by-sequencing. The Wheat Genetics Resource Center (WGRC) Aegilops germplasm collection was curated through the identification of misclassified and redundant accessions. There were 49 misclassified and 28 sets of redundant accessions within the four diploid species. The curated germplasm sets now have improved utility for genetic studies and wheat improvement. We constructed a phylogenetic tree and principal component analysis cluster for all Aegilops species together, giving one of the most comprehensive views of Aegilops. The Sitopsis section and the U genome Aegilops clade were further scrutinized with in-depth population analysis. The genetic relatedness among the pair of Aegilops species provided strong evidence for the species evolution, speciation, and diversification. We inferred genome symbols for two species Ae. neglecta and Ae. columnaris based on the sequence read mapping and the presence of segregating loci on the pertinent genomes as well as genetic clustering. The high genetic diversity observed among Aegilops species indicated that the genus could play an even greater role in providing the critical need for untapped genetic diversity for future wheat breeding and improvement. To fully characterize these Aegilops species, there is an urgent need to generate reference assemblies for these wild wheats, especially for the polyploid Aegilops.

Keywords: Aegilops; gene bank curation; genetic diversity; genotyping-by-sequencing (GBS); phylogenetic analysis; population structure; wheat wild relatives.

Associated data

  • Dryad/10.5061/dryad.mgqnk994n

Grants and funding

The authors declare financial support was received for the research, authorship, and/or publication of this article. This material is based upon work supported by the US National Science Foundation and Industry Partners under Award No. (1822162) “Phase II Industry/University research consortium (IUCRC) at Kansas State University (KSU) Center for Wheat Genetic Resources” and from King Abdullah University of Science and Technology. This research was also partly supported by the U.S. Department of Agriculture, National Institute of Food and Agriculture (Grant No. 2020-67103-31455).