Linkage and association mapping of ovule number per ovary (ON) in oilseed rape ( L.).

Mol Breed

National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070 People's Republic of China.

Published: February 2023

AI Article Synopsis

  • The study investigates the genetic factors influencing ovule number (ON) in oilseed rape to understand how it affects seed yield per silique and overall crop productivity.
  • Researchers utilized a double haploid (DH) population and a natural population (NP) through linkage mapping and genome-wide association analysis to identify variations in ON.
  • Findings highlighted five quantitative trait loci (QTLs) and multiple significant single-nucleotide polymorphisms (SNPs), leading to the identification of four key genomic regions associated with ON that could aid in improving plant yield.

Article Abstract

Unlabelled: Ovule number (ON) produced during flower development determines the maximum number of seeds per silique and thereby affects crop productivity; however, the genetic basis of ON remains poorly understood in oilseed rape (). In this study, we genetically dissected the ON variations in a double haploid (DH) population and in natural population (NP) by linkage mapping and genome-wide association analysis. Phenotypic analysis showed that ON displayed normal distribution in both populations with the broad-sense heritability of 0.861 (DH population) and 0.930 (natural population). Linkage mapping identified 5 QTLs related to ON, including , , , , and . Genome-wide association studies (GWAS) revealed 214, 48, and 40 significant single-nucleotide polymorphisms (SNPs) by individually using the single-locus model GLM and the multiple-locus model MrMLM and FASTMrMLM. The phenotypic variation explained (PVE) by these QTLs and SNPs ranged from 2.00-17.40% to 5.03-7.33%, respectively. Integration of the results from both strategies identified four consensus genomic regions associated with ON from the chromosomes A03, A07, and A10. Our results preliminarily resolved the genetic basis of ON and provides useful molecular markers for plant yield improvement in .

Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01355-7.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248604PMC
http://dx.doi.org/10.1007/s11032-023-01355-7DOI Listing

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