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Wheat EST resources for functional genomics of abiotic stress
BACKGROUND: Wheat is an excellent species to study freezing tolerance and other abiotic stresses. However, the sequence of the wheat genome has not been completely characterized due to its complexity and large size. To circumvent this obstacle and identify genes involved in cold acclimation and asso...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1539019/ https://www.ncbi.nlm.nih.gov/pubmed/16772040 http://dx.doi.org/10.1186/1471-2164-7-149 |
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author | Houde, Mario Belcaid, Mahdi Ouellet, François Danyluk, Jean Monroy, Antonio F Dryanova, Ani Gulick, Patrick Bergeron, Anne Laroche, André Links, Matthew G MacCarthy, Luke Crosby, William L Sarhan, Fathey |
author_facet | Houde, Mario Belcaid, Mahdi Ouellet, François Danyluk, Jean Monroy, Antonio F Dryanova, Ani Gulick, Patrick Bergeron, Anne Laroche, André Links, Matthew G MacCarthy, Luke Crosby, William L Sarhan, Fathey |
author_sort | Houde, Mario |
collection | PubMed |
description | BACKGROUND: Wheat is an excellent species to study freezing tolerance and other abiotic stresses. However, the sequence of the wheat genome has not been completely characterized due to its complexity and large size. To circumvent this obstacle and identify genes involved in cold acclimation and associated stresses, a large scale EST sequencing approach was undertaken by the Functional Genomics of Abiotic Stress (FGAS) project. RESULTS: We generated 73,521 quality-filtered ESTs from eleven cDNA libraries constructed from wheat plants exposed to various abiotic stresses and at different developmental stages. In addition, 196,041 ESTs for which tracefiles were available from the National Science Foundation wheat EST sequencing program and DuPont were also quality-filtered and used in the analysis. Clustering of the combined ESTs with d2_cluster and TGICL yielded a few large clusters containing several thousand ESTs that were refractory to routine clustering techniques. To resolve this problem, the sequence proximity and "bridges" were identified by an e-value distance graph to manually break clusters into smaller groups. Assembly of the resolved ESTs generated a 75,488 unique sequence set (31,580 contigs and 43,908 singletons/singlets). Digital expression analyses indicated that the FGAS dataset is enriched in stress-regulated genes compared to the other public datasets. Over 43% of the unique sequence set was annotated and classified into functional categories according to Gene Ontology. CONCLUSION: We have annotated 29,556 different sequences, an almost 5-fold increase in annotated sequences compared to the available wheat public databases. Digital expression analysis combined with gene annotation helped in the identification of several pathways associated with abiotic stress. The genomic resources and knowledge developed by this project will contribute to a better understanding of the different mechanisms that govern stress tolerance in wheat and other cereals. |
format | Text |
id | pubmed-1539019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-15390192006-08-11 Wheat EST resources for functional genomics of abiotic stress Houde, Mario Belcaid, Mahdi Ouellet, François Danyluk, Jean Monroy, Antonio F Dryanova, Ani Gulick, Patrick Bergeron, Anne Laroche, André Links, Matthew G MacCarthy, Luke Crosby, William L Sarhan, Fathey BMC Genomics Research Article BACKGROUND: Wheat is an excellent species to study freezing tolerance and other abiotic stresses. However, the sequence of the wheat genome has not been completely characterized due to its complexity and large size. To circumvent this obstacle and identify genes involved in cold acclimation and associated stresses, a large scale EST sequencing approach was undertaken by the Functional Genomics of Abiotic Stress (FGAS) project. RESULTS: We generated 73,521 quality-filtered ESTs from eleven cDNA libraries constructed from wheat plants exposed to various abiotic stresses and at different developmental stages. In addition, 196,041 ESTs for which tracefiles were available from the National Science Foundation wheat EST sequencing program and DuPont were also quality-filtered and used in the analysis. Clustering of the combined ESTs with d2_cluster and TGICL yielded a few large clusters containing several thousand ESTs that were refractory to routine clustering techniques. To resolve this problem, the sequence proximity and "bridges" were identified by an e-value distance graph to manually break clusters into smaller groups. Assembly of the resolved ESTs generated a 75,488 unique sequence set (31,580 contigs and 43,908 singletons/singlets). Digital expression analyses indicated that the FGAS dataset is enriched in stress-regulated genes compared to the other public datasets. Over 43% of the unique sequence set was annotated and classified into functional categories according to Gene Ontology. CONCLUSION: We have annotated 29,556 different sequences, an almost 5-fold increase in annotated sequences compared to the available wheat public databases. Digital expression analysis combined with gene annotation helped in the identification of several pathways associated with abiotic stress. The genomic resources and knowledge developed by this project will contribute to a better understanding of the different mechanisms that govern stress tolerance in wheat and other cereals. BioMed Central 2006-06-13 /pmc/articles/PMC1539019/ /pubmed/16772040 http://dx.doi.org/10.1186/1471-2164-7-149 Text en Copyright © 2006 Houde et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Houde, Mario Belcaid, Mahdi Ouellet, François Danyluk, Jean Monroy, Antonio F Dryanova, Ani Gulick, Patrick Bergeron, Anne Laroche, André Links, Matthew G MacCarthy, Luke Crosby, William L Sarhan, Fathey Wheat EST resources for functional genomics of abiotic stress |
title | Wheat EST resources for functional genomics of abiotic stress |
title_full | Wheat EST resources for functional genomics of abiotic stress |
title_fullStr | Wheat EST resources for functional genomics of abiotic stress |
title_full_unstemmed | Wheat EST resources for functional genomics of abiotic stress |
title_short | Wheat EST resources for functional genomics of abiotic stress |
title_sort | wheat est resources for functional genomics of abiotic stress |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1539019/ https://www.ncbi.nlm.nih.gov/pubmed/16772040 http://dx.doi.org/10.1186/1471-2164-7-149 |
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