Back

Genomic And Molecular Characterization Of The Wheat Streak Mosaic Virus Resistance Locus 2 (Wsm2) In Common Wheat (Triticum Aestivum. L)

Xie, Y.; Nachappa, P.; Nalam, V.; Pearce, S.

2022-04-27 pathology
10.1101/2022.04.26.489503 bioRxiv
Show abstract

Wheat streak mosaic virus is an economically important viral pathogen that threatens global wheat production, particularly in the Great Plains region of the United States. The Wsm2 locus confers resistance to WSMV and has been widely deployed in common wheat varieties adapted to this region. Characterizing the underlying causative genetic variant would contribute to our understanding of viral resistance mechanisms in crops and aid the development of perfect markers for breeding. In this study, Wsm2 flanking markers were mapped to a 4.0 Mbp region of the wheat reference genome containing 142 candidate genes. Haplotype analysis in seventeen wheat genotypes collected from different agroecological zones indicated that Wsm2 lies in a dynamic region of the genome with extensive structural variation, and that it is likely absent from available genome assemblies of common wheat varieties. Exome sequencing of the variety Snowmass, which carries Wsm2, revealed several loss-of-function mutations and copy number variants in the 142 candidate genes within the Wsm2 interval. Six of these genes are differentially expressed in Snowmass compared to Antero, a variety lacking Wsm2, including a gene that encodes a nucleotide-binding site leucine-rich repeat (NBS-LRR) type protein with homology to RPM1. A de novo assembly of unmapped RNA-seq reads identified nine transcripts expressed only in Snowmass, three of which are also induced in response to WSMV inoculation. This study sheds light on the variation underlying Wsm2 and provides a list of candidate genes for subsequent validation.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.