期刊
PLANT JOURNAL
卷 113, 期 1, 页码 174-185出版社
WILEY
DOI: 10.1111/tpj.16026
关键词
haplotype; multi-allelic markers; gene-centric genotyping; Eucalyptus
To improve our understanding of complex traits in plants, a comprehensive analysis of gene variants is necessary. However, single-nucleotide polymorphism (SNP) markers fail to capture the large amount of haplotype diversity in eucalyptus. Therefore, a gene-based haplotype mining panel was developed to capture diversity within and between eucalyptus species, enabling genome-wide association studies and gene-based breeding approaches.
To improve our understanding of genetic mechanisms underlying complex traits in plants, a comprehensive analysis of gene variants is required. Eucalyptus is an important forest plantation genus that is highly outbred. Trait dissection and molecular breeding in eucalypts currently relies on biallelic single-nucleotide polymorphism (SNP) markers. These markers fail to capture the large amount of haplotype diversity in these species, and thus multi-allelic markers are required. We aimed to develop a gene-based haplotype mining panel for Eucalyptus species. We generated 17 999 oligonucleotide probe sets for targeted sequencing of selected regions of 6293 genes implicated in growth and wood properties, pest and disease resistance, and abiotic stress responses. We identified and phased 195 834 SNPs using a read-based phasing approach to reveal SNP-based haplotypes. A total of 8915 target regions (at 4637 gene loci) passed tests for Mendelian inheritance. We evaluated the haplotype panel in four Eucalyptus species (E. grandis, E. urophylla, E. dunnii and E. nitens) to determine its ability to capture diversity across eucalypt species. This revealed an average of 3.13-4.52 haplotypes per target region in each species, and 33.36% of the identified haplotypes were shared by at least two species. This haplotype mining panel will enable the analysis of haplotype diversity within and between species, and provide multi-allelic markers that can be used for genome-wide association studies and gene-based breeding approaches.
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