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Sonsungsan P, Nganga ML, Lieberman MC, Amundson KR, Stewart V, Plaimas K, Comai L, Henry IM. A k-mer-based bulked segregant analysis approach to map seed traits in unphased heterozygous potato genomes. G3 (Bethesda) 2024; 14:jkae035. [PMID: 38366577 PMCID: PMC10989861 DOI: 10.1093/g3journal/jkae035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 02/06/2024] [Accepted: 02/09/2024] [Indexed: 02/18/2024]
Abstract
High-throughput sequencing-based methods for bulked segregant analysis (BSA) allow for the rapid identification of genetic markers associated with traits of interest. BSA studies have successfully identified qualitative (binary) and quantitative trait loci (QTLs) using QTL mapping. However, most require population structures that fit the models available and a reference genome. Instead, high-throughput short-read sequencing can be combined with BSA of k-mers (BSA-k-mer) to map traits that appear refractory to standard approaches. This method can be applied to any organism and is particularly useful for species with genomes diverged from the closest sequenced genome. It is also instrumental when dealing with highly heterozygous and potentially polyploid genomes without phased haplotype assemblies and for which a single haplotype can control a trait. Finally, it is flexible in terms of population structure. Here, we apply the BSA-k-mer method for the rapid identification of candidate regions related to seed spot and seed size in diploid potato. Using a mixture of F1 and F2 individuals from a cross between 2 highly heterozygous parents, candidate sequences were identified for each trait using the BSA-k-mer approach. Using parental reads, we were able to determine the parental origin of the loci. Finally, we mapped the identified k-mers to a closely related potato genome to validate the method and determine the genomic loci underlying these sequences. The location identified for the seed spot matches with previously identified loci associated with pigmentation in potato. The loci associated with seed size are novel. Both loci are relevant in future breeding toward true seeds in potato.
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Affiliation(s)
- Pajaree Sonsungsan
- Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand
| | - Mwaura Livingstone Nganga
- Department of Plant Biology and Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Meric C Lieberman
- Department of Plant Biology and Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Kirk R Amundson
- Department of Plant Biology and Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Victoria Stewart
- Department of Plant Biology and Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Kitiporn Plaimas
- Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
- Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Luca Comai
- Department of Plant Biology and Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Isabelle M Henry
- Department of Plant Biology and Genome Center, University of California, Davis, Davis, CA 95616, USA
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