Multiple haplotype-based analyses provide genetic and evolutionary insights into tomato fruit weight and composition
Jiantao Zhao1,2, Christopher Sauvage1,3, Frédérique Bitton1
1INRA, UR1052, Centre de Recherche PACA, Génétique et Amélioration des Fruits et Légumes, Domaine Saint Maurice, 67 Allée des Chênes CS 60094 - 84140, Montfavet Cedex, France.
Horticulture Research
|January 18, 2022
Summary
Haplotype-based analyses identified more genetic associations for tomato fruit quality than SNP-based methods. This approach also revealed insights into tomato breeding history and selective sweeps.
Area of Science:
- Plant genetics
- Agricultural science
- Evolutionary biology
Background:
- Improving tomato fruit quality, including metabolic composition, is a key challenge for breeders.
- Understanding the genetic basis of these traits and the evolutionary history of associated genes is crucial for crop improvement.
Purpose of the Study:
- To evaluate the effectiveness of haplotype-based analyses for identifying marker-trait associations and for genomic prediction in tomatoes.
- To investigate the demographic history of genes controlling tomato quality traits.
Main Methods:
- Comparison of haplotype vs. single nucleotide polymorphism (SNP)-based association mapping (hapQTL) and multi-locus mixed models (MLMM).
- Analysis of 163 tomato accessions genotyped with 5995 SNPs.
- Identification of selective sweeps using the integrated haplotype score (iHS).
Main Results:
- Haplotype-based Bayes models identified significantly more marker-trait associations (97) compared to SNP-based models (50) and MLMM (53).
- Haplotype analyses also showed superior performance in genomic prediction, particularly for traits with lower heritability.
- A majority of significant associations were located within identified selective sweeps, suggesting a role in tomato domestication and breeding.
Conclusions:
- Haplotype-based approaches offer significant advantages over SNP-based methods for dissecting the genetic architecture of complex traits in tomatoes.
- This study provides valuable insights into tomato quality improvement and the evolutionary forces shaping its genome.
- Candidate genes influencing fruit weight and metabolite content were identified, offering targets for future breeding programs.
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