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Erskine, W.

Publications and source records attributed to Erskine, W..

3 recordsLinked to original sources

Genetic analysis of early phenology in lentil identifies distinct loci controlling component traits

Reproductive phenology is well known to be a key feature of crop adaptation to diverse ecogeographic variation and management practices. Lentil is one of the founder pulse crops of middle-eastern Neolithic agriculture, and the modern-day domesticated lentil germplasm is generally considered to form three broad adaptation groups: Mediterranean, South Asian and northern temperate, which correspond approximately to the major global production environments. Understanding the molecular basis of these adaptations is crucial to maximise efficiency of breeding programs. Here, we use a QTL approach to dissect the earliness that is characteristic of the South Asian pilosae ecotype, and that suits it to the typically short winter cropping season. We identified two loci, DTF6a and DTF6b, at which dominant alleles confer early flowering. We show that, although these loci can interact in an additive manner, DTF6a alone is sufficient to confer early flowering even in extremely short photoperiods. Comparisons with closely related legume species confirmed the presence of a conserved cluster of three FT orthologs among potential candidate genes in the region, and expression analysis in near-isogenic material showed that the early dtf6a allele is associated with a strong derepression of the FTa1 gene in particular. Analysis of sequence variation revealed the presence of a 7.4 kb deletion in the FTa1-FTa2 intergenic region in the pilosae parent, and a wide survey of over 400 accessions with diverse origin showed that the dtf6a allele is dominant in South Asia material. Collectively, these results contribute to understanding the molecular basis of global adaptation in lentil, and further emphasize the importance of this conserved genomic region for adaptation in temperate legumes generally.

genetics↗

Hi-C yields chromosome-length scaffolds for a legume genome, Trifolium subterraneum

We present a chromosome-length assembly of the genome of subterranean clover, Trifolium subterraneum, a key Australian pasture legume. Specifically, in situ Hi-C data (48X) was used to correct misjoins and anchor, order, and orient scaffolds in a previously published genome assembly (TSUd_r1.1; scaffold N50: 287kb). This resulted in an improved genome assembly (TrSub3; scaffold N50: 56Mb) containing eight chromosome-length scaffolds that span 95% of the sequenced bases in the input assembly.

genomics↗

Large-scale structural variation detection in subterranean clover subtypes using optical mapping validated at nucleotide level

Whole genome sequencing has been widely used to detect structural variations (SVs). However, the limited single molecule size makes it difficult to characterize large-scale SVs in a genome because they cannot fully cover such vast and complex regions. Recently, optical mapping in nanochannels has provided novel resolution to detect large-scale SVs by comparing the physical location of the nickase recognition sequence in genomes. Other than in humans, SVs discovered in plants by optical mapping have not been validated. To assess the accuracy of SV calling in plants by optical mapping, we selected two genetically diverse subspecies of the Trifolium model species, subterranean clover cvs. Daliak and Yarloop. The SVs discovered by BioNano optical mapping (BOM) were validated using Illumina short reads. In the analysis, BOM identified 12 large-scale regions containing deletions and 19 containing insertions in Yarloop. The 12 large-scale regions contained 71 small deletions when validated by Illumina short reads. The results suggest that BOM could detect the total size of deletions and insertions, but it could not precisely report the location and actual quantity of SVs in the genome. Nucleotide-level validation is crucial to confirm and characterize SVs reported by optical mapping. The accuracy of SV detection by BOM is highly dependent on the quality of reference genomes and the density of selected nickases.

bioinformatics↗