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Global transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds
Understanding developmental processes, especially in non-model crop plants, is extremely important in order to unravel unique mechanisms regulating development. Chickpea (C. arietinum L.) seeds are especially valued for their high carbohydrate and protein content. Therefore, in order to elucidate th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267183/ https://www.ncbi.nlm.nih.gov/pubmed/25566273 http://dx.doi.org/10.3389/fpls.2014.00698 |
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author | Pradhan, Seema Bandhiwal, Nitesh Shah, Niraj Kant, Chandra Gaur, Rashmi Bhatia, Sabhyata |
author_facet | Pradhan, Seema Bandhiwal, Nitesh Shah, Niraj Kant, Chandra Gaur, Rashmi Bhatia, Sabhyata |
author_sort | Pradhan, Seema |
collection | PubMed |
description | Understanding developmental processes, especially in non-model crop plants, is extremely important in order to unravel unique mechanisms regulating development. Chickpea (C. arietinum L.) seeds are especially valued for their high carbohydrate and protein content. Therefore, in order to elucidate the mechanisms underlying seed development in chickpea, deep sequencing of transcriptomes from four developmental stages was undertaken. In this study, next generation sequencing platform was utilized to sequence the transcriptome of four distinct stages of seed development in chickpea. About 1.3 million reads were generated which were assembled into 51,099 unigenes by merging the de novo and reference assemblies. Functional annotation of the unigenes was carried out using the Uniprot, COG and KEGG databases. RPKM based digital expression analysis revealed specific gene activities at different stages of development which was validated using Real time PCR analysis. More than 90% of the unigenes were found to be expressed in at least one of the four seed tissues. DEGseq was used to determine differentially expressing genes which revealed that only 6.75% of the unigenes were differentially expressed at various stages. Homology based comparison revealed 17.5% of the unigenes to be putatively seed specific. Transcription factors were predicted based on HMM profiles built using TF sequences from five legume plants and analyzed for their differential expression during progression of seed development. Expression analysis of genes involved in biosynthesis of important secondary metabolites suggested that chickpea seeds can serve as a good source of antioxidants. Since transcriptomes are a valuable source of molecular markers like simple sequence repeats (SSRs), about 12,000 SSRs were mined in chickpea seed transcriptome and few of them were validated. In conclusion, this study will serve as a valuable resource for improved chickpea breeding. |
format | Online Article Text |
id | pubmed-4267183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42671832015-01-06 Global transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds Pradhan, Seema Bandhiwal, Nitesh Shah, Niraj Kant, Chandra Gaur, Rashmi Bhatia, Sabhyata Front Plant Sci Plant Science Understanding developmental processes, especially in non-model crop plants, is extremely important in order to unravel unique mechanisms regulating development. Chickpea (C. arietinum L.) seeds are especially valued for their high carbohydrate and protein content. Therefore, in order to elucidate the mechanisms underlying seed development in chickpea, deep sequencing of transcriptomes from four developmental stages was undertaken. In this study, next generation sequencing platform was utilized to sequence the transcriptome of four distinct stages of seed development in chickpea. About 1.3 million reads were generated which were assembled into 51,099 unigenes by merging the de novo and reference assemblies. Functional annotation of the unigenes was carried out using the Uniprot, COG and KEGG databases. RPKM based digital expression analysis revealed specific gene activities at different stages of development which was validated using Real time PCR analysis. More than 90% of the unigenes were found to be expressed in at least one of the four seed tissues. DEGseq was used to determine differentially expressing genes which revealed that only 6.75% of the unigenes were differentially expressed at various stages. Homology based comparison revealed 17.5% of the unigenes to be putatively seed specific. Transcription factors were predicted based on HMM profiles built using TF sequences from five legume plants and analyzed for their differential expression during progression of seed development. Expression analysis of genes involved in biosynthesis of important secondary metabolites suggested that chickpea seeds can serve as a good source of antioxidants. Since transcriptomes are a valuable source of molecular markers like simple sequence repeats (SSRs), about 12,000 SSRs were mined in chickpea seed transcriptome and few of them were validated. In conclusion, this study will serve as a valuable resource for improved chickpea breeding. Frontiers Media S.A. 2014-12-16 /pmc/articles/PMC4267183/ /pubmed/25566273 http://dx.doi.org/10.3389/fpls.2014.00698 Text en Copyright © 2014 Pradhan, Bandhiwal, Shah, Kant, Gaur and Bhatia. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Pradhan, Seema Bandhiwal, Nitesh Shah, Niraj Kant, Chandra Gaur, Rashmi Bhatia, Sabhyata Global transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds |
title | Global transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds |
title_full | Global transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds |
title_fullStr | Global transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds |
title_full_unstemmed | Global transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds |
title_short | Global transcriptome analysis of developing chickpea (Cicer arietinum L.) seeds |
title_sort | global transcriptome analysis of developing chickpea (cicer arietinum l.) seeds |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267183/ https://www.ncbi.nlm.nih.gov/pubmed/25566273 http://dx.doi.org/10.3389/fpls.2014.00698 |
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