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Identification and selection of normalization controls for quantitative transcript analysis in B lumeria graminis
The investigation of obligate biotrophic pathogens, for example B lumeria graminis, presents a number of challenges. The sensitivity of many assays is reduced because of the presence of host material. Furthermore, the fungal structures inside and outside of the plant possess very different character...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102671/ https://www.ncbi.nlm.nih.gov/pubmed/26238194 http://dx.doi.org/10.1111/mpp.12300 |
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author | Pennington, Helen G. Li, Linhan Spanu, Pietro D. |
author_facet | Pennington, Helen G. Li, Linhan Spanu, Pietro D. |
author_sort | Pennington, Helen G. |
collection | PubMed |
description | The investigation of obligate biotrophic pathogens, for example B lumeria graminis, presents a number of challenges. The sensitivity of many assays is reduced because of the presence of host material. Furthermore, the fungal structures inside and outside of the plant possess very different characteristics. Normalization genes are used in quantitative real‐time polymerase chain reaction (qPCR) to compensate for changes as a result of the quantity and quality of template material. Such genes are used as references against which genes of interest are compared, enabling true quantification. Here, we identified six potential B . graminis and five barley genes for qPCR normalization. The relative changes in abundance of the transcripts were assayed across an infection time course in barley epidermis, in B . graminis epiphytic structures and haustoria. The B . graminis glyceraldehyde‐3‐phosphate dehydrogenase (GAPDH), actin (ACT) and histone 3 (H3) genes and the barley GAPDH, ubiquitin (UBI) and α‐tubulin 2B (TUBA2B) genes were optimal normalization controls for qPCR during the infection cycle. These genes were then used for normalization in the quantification of the members of a Candidate Secreted Effector Protein (CSEP) family 21, a conidia‐specific gene and barley genes encoding putative interactors of CSEP0064. The analysis demonstrates the importance of identifying which reference genes are appropriate for each investigation. |
format | Online Article Text |
id | pubmed-5102671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51026712016-11-16 Identification and selection of normalization controls for quantitative transcript analysis in B lumeria graminis Pennington, Helen G. Li, Linhan Spanu, Pietro D. Mol Plant Pathol Technical Advance The investigation of obligate biotrophic pathogens, for example B lumeria graminis, presents a number of challenges. The sensitivity of many assays is reduced because of the presence of host material. Furthermore, the fungal structures inside and outside of the plant possess very different characteristics. Normalization genes are used in quantitative real‐time polymerase chain reaction (qPCR) to compensate for changes as a result of the quantity and quality of template material. Such genes are used as references against which genes of interest are compared, enabling true quantification. Here, we identified six potential B . graminis and five barley genes for qPCR normalization. The relative changes in abundance of the transcripts were assayed across an infection time course in barley epidermis, in B . graminis epiphytic structures and haustoria. The B . graminis glyceraldehyde‐3‐phosphate dehydrogenase (GAPDH), actin (ACT) and histone 3 (H3) genes and the barley GAPDH, ubiquitin (UBI) and α‐tubulin 2B (TUBA2B) genes were optimal normalization controls for qPCR during the infection cycle. These genes were then used for normalization in the quantification of the members of a Candidate Secreted Effector Protein (CSEP) family 21, a conidia‐specific gene and barley genes encoding putative interactors of CSEP0064. The analysis demonstrates the importance of identifying which reference genes are appropriate for each investigation. John Wiley and Sons Inc. 2015-10-09 /pmc/articles/PMC5102671/ /pubmed/26238194 http://dx.doi.org/10.1111/mpp.12300 Text en © 2015 THE AUTHORS. MOLECULAR PLANT PATHOLOGY PUBLISHED BY BRITISH SOCIETY FOR PLANT PATHOLOGY AND JOHN WILEY & SONS LTD. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Advance Pennington, Helen G. Li, Linhan Spanu, Pietro D. Identification and selection of normalization controls for quantitative transcript analysis in B lumeria graminis |
title | Identification and selection of normalization controls for quantitative transcript analysis in B
lumeria graminis
|
title_full | Identification and selection of normalization controls for quantitative transcript analysis in B
lumeria graminis
|
title_fullStr | Identification and selection of normalization controls for quantitative transcript analysis in B
lumeria graminis
|
title_full_unstemmed | Identification and selection of normalization controls for quantitative transcript analysis in B
lumeria graminis
|
title_short | Identification and selection of normalization controls for quantitative transcript analysis in B
lumeria graminis
|
title_sort | identification and selection of normalization controls for quantitative transcript analysis in b
lumeria graminis |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102671/ https://www.ncbi.nlm.nih.gov/pubmed/26238194 http://dx.doi.org/10.1111/mpp.12300 |
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