Cargando…
Genetic architecture of fresh-market tomato yield
BACKGROUND: The fresh-market tomato (Solanum lycopersicum) is bred for direct consumption and is selected for a high yield of large fruits. To understand the genetic variations (distinct types of DNA sequence polymorphism) that influence the yield, we collected the phenotypic variations in the yield...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827693/ https://www.ncbi.nlm.nih.gov/pubmed/36624387 http://dx.doi.org/10.1186/s12870-022-04018-5 |
_version_ | 1784867101413998592 |
---|---|
author | Bhandari, Prashant Kim, Juhee Lee, Tong Geon |
author_facet | Bhandari, Prashant Kim, Juhee Lee, Tong Geon |
author_sort | Bhandari, Prashant |
collection | PubMed |
description | BACKGROUND: The fresh-market tomato (Solanum lycopersicum) is bred for direct consumption and is selected for a high yield of large fruits. To understand the genetic variations (distinct types of DNA sequence polymorphism) that influence the yield, we collected the phenotypic variations in the yields of total fruit, extra-large-sized fruit, small-sized fruit, or red-colored fruit from 68 core inbred contemporary U.S. fresh-market tomatoes for three consecutive years and the genomic information in 8,289,741 single nucleotide polymorphism (SNP) positions from the whole-genome resequencing of these tomatoes. RESULTS: Genome-wide association (GWA) mapping using the SNP data with or without SNP filtering steps using the regularization methods, validated with quantitative trait loci (QTL) linkage mapping, identified 18 significant association signals for traits evaluated. Among them, 10 of which were not located within genomic regions previously identified as being associated with fruit size/shape. When mapping-driven association signals [558 SNPs associated with 28 yield (component) traits] were used to calculate genomic estimated breeding values (GEBVs) of evaluated traits, the prediction accuracies of the extra-large-sized fruit and small-sized fruit yields were higher than those of the total and red-colored fruit yields, as we tested the generated breeding values in inbred tomatoes and F(2) populations. Improved accuracy in GEBV calculation of evaluated traits was achieved by using 364 SNPs identified using the regularization methods. CONCLUSIONS: Together, these results provide an understanding of the genetic variations underlying the heritable phenotypic variability in yield in contemporary tomato breeding and the information necessary for improving such economically important and complex quantitative trait through breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-04018-5. |
format | Online Article Text |
id | pubmed-9827693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98276932023-01-10 Genetic architecture of fresh-market tomato yield Bhandari, Prashant Kim, Juhee Lee, Tong Geon BMC Plant Biol Research BACKGROUND: The fresh-market tomato (Solanum lycopersicum) is bred for direct consumption and is selected for a high yield of large fruits. To understand the genetic variations (distinct types of DNA sequence polymorphism) that influence the yield, we collected the phenotypic variations in the yields of total fruit, extra-large-sized fruit, small-sized fruit, or red-colored fruit from 68 core inbred contemporary U.S. fresh-market tomatoes for three consecutive years and the genomic information in 8,289,741 single nucleotide polymorphism (SNP) positions from the whole-genome resequencing of these tomatoes. RESULTS: Genome-wide association (GWA) mapping using the SNP data with or without SNP filtering steps using the regularization methods, validated with quantitative trait loci (QTL) linkage mapping, identified 18 significant association signals for traits evaluated. Among them, 10 of which were not located within genomic regions previously identified as being associated with fruit size/shape. When mapping-driven association signals [558 SNPs associated with 28 yield (component) traits] were used to calculate genomic estimated breeding values (GEBVs) of evaluated traits, the prediction accuracies of the extra-large-sized fruit and small-sized fruit yields were higher than those of the total and red-colored fruit yields, as we tested the generated breeding values in inbred tomatoes and F(2) populations. Improved accuracy in GEBV calculation of evaluated traits was achieved by using 364 SNPs identified using the regularization methods. CONCLUSIONS: Together, these results provide an understanding of the genetic variations underlying the heritable phenotypic variability in yield in contemporary tomato breeding and the information necessary for improving such economically important and complex quantitative trait through breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-04018-5. BioMed Central 2023-01-09 /pmc/articles/PMC9827693/ /pubmed/36624387 http://dx.doi.org/10.1186/s12870-022-04018-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bhandari, Prashant Kim, Juhee Lee, Tong Geon Genetic architecture of fresh-market tomato yield |
title | Genetic architecture of fresh-market tomato yield |
title_full | Genetic architecture of fresh-market tomato yield |
title_fullStr | Genetic architecture of fresh-market tomato yield |
title_full_unstemmed | Genetic architecture of fresh-market tomato yield |
title_short | Genetic architecture of fresh-market tomato yield |
title_sort | genetic architecture of fresh-market tomato yield |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827693/ https://www.ncbi.nlm.nih.gov/pubmed/36624387 http://dx.doi.org/10.1186/s12870-022-04018-5 |
work_keys_str_mv | AT bhandariprashant geneticarchitectureoffreshmarkettomatoyield AT kimjuhee geneticarchitectureoffreshmarkettomatoyield AT leetonggeon geneticarchitectureoffreshmarkettomatoyield |