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Sequence mining and transcript profiling to explore cyst nematode parasitism
BACKGROUND: Cyst nematodes are devastating plant parasites that become sedentary within plant roots and induce the transformation of normal plant cells into elaborate feeding cells with the help of secreted effectors, the parasitism proteins. These proteins are the translation products of parasitism...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640417/ https://www.ncbi.nlm.nih.gov/pubmed/19183474 http://dx.doi.org/10.1186/1471-2164-10-58 |
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author | Elling, Axel A Mitreva, Makedonka Gai, Xiaowu Martin, John Recknor, Justin Davis, Eric L Hussey, Richard S Nettleton, Dan McCarter, James P Baum, Thomas J |
author_facet | Elling, Axel A Mitreva, Makedonka Gai, Xiaowu Martin, John Recknor, Justin Davis, Eric L Hussey, Richard S Nettleton, Dan McCarter, James P Baum, Thomas J |
author_sort | Elling, Axel A |
collection | PubMed |
description | BACKGROUND: Cyst nematodes are devastating plant parasites that become sedentary within plant roots and induce the transformation of normal plant cells into elaborate feeding cells with the help of secreted effectors, the parasitism proteins. These proteins are the translation products of parasitism genes and are secreted molecular tools that allow cyst nematodes to infect plants. RESULTS: We present here the expression patterns of all previously described parasitism genes of the soybean cyst nematode, Heterodera glycines, in all major life stages except the adult male. These insights were gained by analyzing our gene expression dataset from experiments using the Affymetrix Soybean Genome Array GeneChip, which contains probeset sequences for 6,860 genes derived from preparasitic and parasitic H. glycines life stages. Targeting the identification of additional H. glycines parasitism-associated genes, we isolated 633 genes encoding secretory proteins using algorithms to predict secretory signal peptides. Furthermore, because some of the known H. glycines parasitism proteins have strongest similarity to proteins of plants and microbes, we searched for predicted protein sequences that showed their highest similarities to plant or microbial proteins and identified 156 H. glycines genes, some of which also contained a signal peptide. Analyses of the expression profiles of these genes allowed the formulation of hypotheses about potential roles in parasitism. This is the first study combining sequence analyses of a substantial EST dataset with microarray expression data of all major life stages (except adult males) for the identification and characterization of putative parasitism-associated proteins in any parasitic nematode. CONCLUSION: We have established an expression atlas for all known H. glycines parasitism genes. Furthermore, in an effort to identify additional H. glycines genes with putative functions in parasitism, we have reduced the currently known 6,860 H. glycines genes to a pool of 788 most promising candidate genes (including known parasitism genes) and documented their expression profiles. Using our approach to pre-select genes likely involved in parasitism now allows detailed functional analyses in a manner not feasible for larger numbers of genes. The generation of the candidate pool described here is an important enabling advance because it will significantly facilitate the unraveling of fascinating plant-animal interactions and deliver knowledge that can be transferred to other pathogen-host systems. Ultimately, the exploration of true parasitism genes verified from the gene pool delineated here will identify weaknesses in the nematode life cycle that can be exploited by novel anti-nematode efforts. |
format | Text |
id | pubmed-2640417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26404172009-02-12 Sequence mining and transcript profiling to explore cyst nematode parasitism Elling, Axel A Mitreva, Makedonka Gai, Xiaowu Martin, John Recknor, Justin Davis, Eric L Hussey, Richard S Nettleton, Dan McCarter, James P Baum, Thomas J BMC Genomics Research Article BACKGROUND: Cyst nematodes are devastating plant parasites that become sedentary within plant roots and induce the transformation of normal plant cells into elaborate feeding cells with the help of secreted effectors, the parasitism proteins. These proteins are the translation products of parasitism genes and are secreted molecular tools that allow cyst nematodes to infect plants. RESULTS: We present here the expression patterns of all previously described parasitism genes of the soybean cyst nematode, Heterodera glycines, in all major life stages except the adult male. These insights were gained by analyzing our gene expression dataset from experiments using the Affymetrix Soybean Genome Array GeneChip, which contains probeset sequences for 6,860 genes derived from preparasitic and parasitic H. glycines life stages. Targeting the identification of additional H. glycines parasitism-associated genes, we isolated 633 genes encoding secretory proteins using algorithms to predict secretory signal peptides. Furthermore, because some of the known H. glycines parasitism proteins have strongest similarity to proteins of plants and microbes, we searched for predicted protein sequences that showed their highest similarities to plant or microbial proteins and identified 156 H. glycines genes, some of which also contained a signal peptide. Analyses of the expression profiles of these genes allowed the formulation of hypotheses about potential roles in parasitism. This is the first study combining sequence analyses of a substantial EST dataset with microarray expression data of all major life stages (except adult males) for the identification and characterization of putative parasitism-associated proteins in any parasitic nematode. CONCLUSION: We have established an expression atlas for all known H. glycines parasitism genes. Furthermore, in an effort to identify additional H. glycines genes with putative functions in parasitism, we have reduced the currently known 6,860 H. glycines genes to a pool of 788 most promising candidate genes (including known parasitism genes) and documented their expression profiles. Using our approach to pre-select genes likely involved in parasitism now allows detailed functional analyses in a manner not feasible for larger numbers of genes. The generation of the candidate pool described here is an important enabling advance because it will significantly facilitate the unraveling of fascinating plant-animal interactions and deliver knowledge that can be transferred to other pathogen-host systems. Ultimately, the exploration of true parasitism genes verified from the gene pool delineated here will identify weaknesses in the nematode life cycle that can be exploited by novel anti-nematode efforts. BioMed Central 2009-01-30 /pmc/articles/PMC2640417/ /pubmed/19183474 http://dx.doi.org/10.1186/1471-2164-10-58 Text en Copyright © 2009 Elling 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 Elling, Axel A Mitreva, Makedonka Gai, Xiaowu Martin, John Recknor, Justin Davis, Eric L Hussey, Richard S Nettleton, Dan McCarter, James P Baum, Thomas J Sequence mining and transcript profiling to explore cyst nematode parasitism |
title | Sequence mining and transcript profiling to explore cyst nematode parasitism |
title_full | Sequence mining and transcript profiling to explore cyst nematode parasitism |
title_fullStr | Sequence mining and transcript profiling to explore cyst nematode parasitism |
title_full_unstemmed | Sequence mining and transcript profiling to explore cyst nematode parasitism |
title_short | Sequence mining and transcript profiling to explore cyst nematode parasitism |
title_sort | sequence mining and transcript profiling to explore cyst nematode parasitism |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2640417/ https://www.ncbi.nlm.nih.gov/pubmed/19183474 http://dx.doi.org/10.1186/1471-2164-10-58 |
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