2018
DOI: 10.1093/dnares/dsy027
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Transcriptome-referenced association study of clove shape traits in garlic

Abstract: Genome-wide association studies are a powerful approach for identifying genes related to complex traits in organisms, but are limited by the requirement for a reference genome sequence of the species under study. To circumvent this problem, we propose a transcriptome-referenced association study (TRAS) that utilizes a transcriptome generated by single-molecule long-read sequencing as a reference sequence to score population variation at both transcript sequence and expression levels. Candidate transcripts are … Show more

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Cited by 34 publications
(35 citation statements)
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“…Associative transcriptomics has contributed significantly to identifying sequence polymorphisms and transcript abundances linked to phenotypic variation, especially in non-model species [22,23]. In addition, high-quality full-length transcripts are critical for functional assays and for understanding genetic diversity [24].…”
Section: Introductionmentioning
confidence: 99%
“…Associative transcriptomics has contributed significantly to identifying sequence polymorphisms and transcript abundances linked to phenotypic variation, especially in non-model species [22,23]. In addition, high-quality full-length transcripts are critical for functional assays and for understanding genetic diversity [24].…”
Section: Introductionmentioning
confidence: 99%
“…Ultimately, cost-effective long-read transcriptome sequencing can be the gold standard for transcript completeness, characterization of transcriptome, and draft genome annotation. To identify trait-associated transcripts in species for which a reference genome is lacking (i.e., garlic), this approach was used as a reference sequence for scoring the variation in both SNP and expression level in the population [36], reporting the characterization of transcripts (lncRNAs) associated with garlic clove shape traits.…”
Section: Speciesmentioning
confidence: 99%
“…Associative transcriptomics has largely contributed to identify sequence polymorphisms and transcript abundance linked to phenotypic variation, especially for non-model species [22,23]. In addition, high quality full length transcripts are critical and useful for functional assays and understanding of genetic diversity [24].…”
Section: Introductionmentioning
confidence: 99%