Tomato genomic prediction for good performance under high-temperature and identification of loci involved in thermotolerance response

Many studies showed that few degrees above tomato optimum growth temperature threshold can lead to serious loss in production. Therefore, the development of innovative strategies to obtain tomato cultivars with improved yield under high temperature conditions is a main goal both for basic genetic st...

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Published inHorticulture research Vol. 8; no. 1; p. 212
Main Authors Cappetta, Elisa, Andolfo, Giuseppe, Guadagno, Anna, Di Matteo, Antonio, Barone, Amalia, Frusciante, Luigi, Ercolano, Maria Raffaella
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.10.2021
Oxford University Press
Subjects
631/208/711
631/449/2661/2665
Agriculture
Annotations
Biomedical and Life Sciences
Cultivars
Ecology
Genomics
Genotypes
Genotyping
Heat
Heat stress
Heat tolerance
High temperature
Life Sciences
Markers
Performance prediction
Plant breeding
Plant Breeding/Biotechnology
Plant Genetics and Genomics
Plant Sciences
Population number
Quantitative trait loci
Single-nucleotide polymorphism
Temperature
Temperature tolerance
Tomatoes
Yield
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Abstract Many studies showed that few degrees above tomato optimum growth temperature threshold can lead to serious loss in production. Therefore, the development of innovative strategies to obtain tomato cultivars with improved yield under high temperature conditions is a main goal both for basic genetic studies and breeding activities. In this paper, a F4 segregating population was phenotypically evaluated for quantitative and qualitative traits under heat stress conditions. Moreover, a genotyping by sequencing (GBS) approach has been employed for building up genomic selection (GS) models both for yield and soluble solid content (SCC). Several parameters, including training population size, composition and marker quality were tested to predict genotype performance under heat stress conditions. A good prediction accuracy for the two analyzed traits (0.729 for yield production and 0.715 for SCC) was obtained. The predicted models improved the genetic gain of selection in the next breeding cycles, suggesting that GS approach is a promising strategy to accelerate breeding for heat tolerance in tomato. Finally, the annotation of SNPs located in gene body regions combined with QTL analysis allowed the identification of five candidates putatively involved in high temperatures response, and the building up of a GS model based on calibrated panel of SNP markers.
AbstractList Many studies showed that few degrees above tomato optimum growth temperature threshold can lead to serious loss in production. Therefore, the development of innovative strategies to obtain tomato cultivars with improved yield under high temperature conditions is a main goal both for basic genetic studies and breeding activities. In this paper, a F4 segregating population was phenotypically evaluated for quantitative and qualitative traits under heat stress conditions. Moreover, a genotyping by sequencing (GBS) approach has been employed for building up genomic selection (GS) models both for yield and soluble solid content (SCC). Several parameters, including training population size, composition and marker quality were tested to predict genotype performance under heat stress conditions. A good prediction accuracy for the two analyzed traits (0.729 for yield production and 0.715 for SCC) was obtained. The predicted models improved the genetic gain of selection in the next breeding cycles, suggesting that GS approach is a promising strategy to accelerate breeding for heat tolerance in tomato. Finally, the annotation of SNPs located in gene body regions combined with QTL analysis allowed the identification of five candidates putatively involved in high temperatures response, and the building up of a GS model based on calibrated panel of SNP markers.
Abstract Many studies showed that few degrees above tomato optimum growth temperature threshold can lead to serious loss in production. Therefore, the development of innovative strategies to obtain tomato cultivars with improved yield under high temperature conditions is a main goal both for basic genetic studies and breeding activities. In this paper, a F4 segregating population was phenotypically evaluated for quantitative and qualitative traits under heat stress conditions. Moreover, a genotyping by sequencing (GBS) approach has been employed for building up genomic selection (GS) models both for yield and soluble solid content (SCC). Several parameters, including training population size, composition and marker quality were tested to predict genotype performance under heat stress conditions. A good prediction accuracy for the two analyzed traits (0.729 for yield production and 0.715 for SCC) was obtained. The predicted models improved the genetic gain of selection in the next breeding cycles, suggesting that GS approach is a promising strategy to accelerate breeding for heat tolerance in tomato. Finally, the annotation of SNPs located in gene body regions combined with QTL analysis allowed the identification of five candidates putatively involved in high temperatures response, and the building up of a GS model based on calibrated panel of SNP markers.
ArticleNumber 212
Author Andolfo, Giuseppe
Ercolano, Maria Raffaella
Cappetta, Elisa
Di Matteo, Antonio
Frusciante, Luigi
Barone, Amalia
Guadagno, Anna
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  surname: Di Matteo
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  surname: Ercolano
  fullname: Ercolano, Maria Raffaella
  email: ercolano@unina.it
  organization: Department of Agricultural Sciences, University of Naples Federico II
BackLink https://www.ncbi.nlm.nih.gov/pubmed/34593775$$D View this record in MEDLINE/PubMed
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Snippet Many studies showed that few degrees above tomato optimum growth temperature threshold can lead to serious loss in production. Therefore, the development of...
Abstract Many studies showed that few degrees above tomato optimum growth temperature threshold can lead to serious loss in production. Therefore, the...
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631/449/2661/2665
Agriculture
Annotations
Biomedical and Life Sciences
Cultivars
Ecology
Genomics
Genotypes
Genotyping
Heat
Heat stress
Heat tolerance
High temperature
Life Sciences
Markers
Performance prediction
Plant breeding
Plant Breeding/Biotechnology
Plant Genetics and Genomics
Plant Sciences
Population number
Quantitative trait loci
Single-nucleotide polymorphism
Temperature
Temperature tolerance
Tomatoes
Yield
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Title Tomato genomic prediction for good performance under high-temperature and identification of loci involved in thermotolerance response
URI https://link.springer.com/article/10.1038/s41438-021-00647-3
https://www.ncbi.nlm.nih.gov/pubmed/34593775
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Volume 8
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