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Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight

BACKGROUND: Berry size is considered as one of the main selection criteria in table grape breeding programs. However, this is a quantitative and polygenic trait, and its genetic determination is still poorly understood. Considering its economic importance, it is relevant to determine its genetic arc...

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Autores principales: Muñoz-Espinoza, Claudia, Di Genova, Alex, Correa, José, Silva, Romina, Maass, Alejandro, González-Agüero, Mauricio, Orellana, Ariel, Hinrichsen, Patricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845426/
https://www.ncbi.nlm.nih.gov/pubmed/27118480
http://dx.doi.org/10.1186/s12870-016-0789-1
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author Muñoz-Espinoza, Claudia
Di Genova, Alex
Correa, José
Silva, Romina
Maass, Alejandro
González-Agüero, Mauricio
Orellana, Ariel
Hinrichsen, Patricio
author_facet Muñoz-Espinoza, Claudia
Di Genova, Alex
Correa, José
Silva, Romina
Maass, Alejandro
González-Agüero, Mauricio
Orellana, Ariel
Hinrichsen, Patricio
author_sort Muñoz-Espinoza, Claudia
collection PubMed
description BACKGROUND: Berry size is considered as one of the main selection criteria in table grape breeding programs. However, this is a quantitative and polygenic trait, and its genetic determination is still poorly understood. Considering its economic importance, it is relevant to determine its genetic architecture and elucidate the mechanisms involved in its expression. To approach this issue, an RNA-Seq experiment based on Illumina platform was performed (14 libraries), including seedless segregants with contrasting phenotypes for berry weight at fruit setting (FST) and 6–8 mm berries (B68) phenological stages. RESULTS: A group of 526 differentially expressed (DE) genes were identified, by comparing seedless segregants with contrasting phenotypes for berry weight: 101 genes from the FST stage and 463 from the B68 stage. Also, we integrated differential expression, principal components analysis (PCA), correlations and network co-expression analyses to characterize the transcriptome profiling observed in segregants with contrasting phenotypes for berry weight. After this, 68 DE genes were selected as candidate genes, and seven candidate genes were validated by real time-PCR, confirming their expression profiles. CONCLUSIONS: We have carried out the first transcriptome analysis focused on table grape seedless segregants with contrasting phenotypes for berry weight. Our findings contributed to the understanding of the mechanisms involved in berry weight determination. Also, this comparative transcriptome profiling revealed candidate genes for berry weight which could be evaluated as selection tools in table grape breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-016-0789-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-48454262016-04-27 Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight Muñoz-Espinoza, Claudia Di Genova, Alex Correa, José Silva, Romina Maass, Alejandro González-Agüero, Mauricio Orellana, Ariel Hinrichsen, Patricio BMC Plant Biol Research Article BACKGROUND: Berry size is considered as one of the main selection criteria in table grape breeding programs. However, this is a quantitative and polygenic trait, and its genetic determination is still poorly understood. Considering its economic importance, it is relevant to determine its genetic architecture and elucidate the mechanisms involved in its expression. To approach this issue, an RNA-Seq experiment based on Illumina platform was performed (14 libraries), including seedless segregants with contrasting phenotypes for berry weight at fruit setting (FST) and 6–8 mm berries (B68) phenological stages. RESULTS: A group of 526 differentially expressed (DE) genes were identified, by comparing seedless segregants with contrasting phenotypes for berry weight: 101 genes from the FST stage and 463 from the B68 stage. Also, we integrated differential expression, principal components analysis (PCA), correlations and network co-expression analyses to characterize the transcriptome profiling observed in segregants with contrasting phenotypes for berry weight. After this, 68 DE genes were selected as candidate genes, and seven candidate genes were validated by real time-PCR, confirming their expression profiles. CONCLUSIONS: We have carried out the first transcriptome analysis focused on table grape seedless segregants with contrasting phenotypes for berry weight. Our findings contributed to the understanding of the mechanisms involved in berry weight determination. Also, this comparative transcriptome profiling revealed candidate genes for berry weight which could be evaluated as selection tools in table grape breeding programs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-016-0789-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-26 /pmc/articles/PMC4845426/ /pubmed/27118480 http://dx.doi.org/10.1186/s12870-016-0789-1 Text en © Muñoz-Espinoza et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Muñoz-Espinoza, Claudia
Di Genova, Alex
Correa, José
Silva, Romina
Maass, Alejandro
González-Agüero, Mauricio
Orellana, Ariel
Hinrichsen, Patricio
Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight
title Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight
title_full Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight
title_fullStr Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight
title_full_unstemmed Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight
title_short Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight
title_sort transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845426/
https://www.ncbi.nlm.nih.gov/pubmed/27118480
http://dx.doi.org/10.1186/s12870-016-0789-1
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