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Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum)
Tomato (Solanum lycopersicum) is one of the major vegetable plant and a model system for fruit development. Its global importance is due to its lycopene pigment which has anti-oxidative and anti-cancerous properties. Though > 1.5 M biotic stress associated ESTs of tomato are available but cumulat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643083/ https://www.ncbi.nlm.nih.gov/pubmed/29062693 http://dx.doi.org/10.1016/j.gdata.2017.09.003 |
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author | Tandon, G. Singh, S. Kaur, S. Sarika Iquebal, M.A. Rai, A. Kumar, D. |
author_facet | Tandon, G. Singh, S. Kaur, S. Sarika Iquebal, M.A. Rai, A. Kumar, D. |
author_sort | Tandon, G. |
collection | PubMed |
description | Tomato (Solanum lycopersicum) is one of the major vegetable plant and a model system for fruit development. Its global importance is due to its lycopene pigment which has anti-oxidative and anti-cancerous properties. Though > 1.5 M biotic stress associated ESTs of tomato are available but cumulative analysis to predict genes is warranted. Availability of whole genome de novo assembly can advantageously be used to map them over different chromosome. Further, available 0.14 M catalogued markers can be used to introgress specific desirable genes in varietal improvement program. We report here 57 novel genes associated with biotic stress of tomato along with 50 genes having physical location over different chromosomes. We also report 52 cis-regulating elements and 69 putative miRNAs which are involved in regulation of these biotic stresses associated genes. These putative candidate genes associated with biotic stress can be used in molecular breeding in the endeavor of tomato productivity along with its sustainable germplasm management. |
format | Online Article Text |
id | pubmed-5643083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-56430832017-10-23 Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum) Tandon, G. Singh, S. Kaur, S. Sarika Iquebal, M.A. Rai, A. Kumar, D. Genom Data Regular Article Tomato (Solanum lycopersicum) is one of the major vegetable plant and a model system for fruit development. Its global importance is due to its lycopene pigment which has anti-oxidative and anti-cancerous properties. Though > 1.5 M biotic stress associated ESTs of tomato are available but cumulative analysis to predict genes is warranted. Availability of whole genome de novo assembly can advantageously be used to map them over different chromosome. Further, available 0.14 M catalogued markers can be used to introgress specific desirable genes in varietal improvement program. We report here 57 novel genes associated with biotic stress of tomato along with 50 genes having physical location over different chromosomes. We also report 52 cis-regulating elements and 69 putative miRNAs which are involved in regulation of these biotic stresses associated genes. These putative candidate genes associated with biotic stress can be used in molecular breeding in the endeavor of tomato productivity along with its sustainable germplasm management. Elsevier 2017-09-27 /pmc/articles/PMC5643083/ /pubmed/29062693 http://dx.doi.org/10.1016/j.gdata.2017.09.003 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Tandon, G. Singh, S. Kaur, S. Sarika Iquebal, M.A. Rai, A. Kumar, D. Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum) |
title | Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum) |
title_full | Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum) |
title_fullStr | Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum) |
title_full_unstemmed | Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum) |
title_short | Computational deciphering of biotic stress associated genes in tomato (Solanum lycopersicum) |
title_sort | computational deciphering of biotic stress associated genes in tomato (solanum lycopersicum) |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643083/ https://www.ncbi.nlm.nih.gov/pubmed/29062693 http://dx.doi.org/10.1016/j.gdata.2017.09.003 |
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