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A diploid wheat TILLING resource for wheat functional genomics
BACKGROUND: Triticum monococcum L., an A genome diploid einkorn wheat, was the first domesticated crop. As a diploid, it is attractive genetic model for the study of gene structure and function of wheat-specific traits. Diploid wheat is currently not amenable to reverse genetics approaches such as i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3541219/ https://www.ncbi.nlm.nih.gov/pubmed/23134614 http://dx.doi.org/10.1186/1471-2229-12-205 |
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author | Rawat, Nidhi Sehgal, Sunish K Joshi, Anupama Rothe, Nolan Wilson, Duane L McGraw, Nathan Vadlani, Praveen V Li, Wanlong Gill, Bikram S |
author_facet | Rawat, Nidhi Sehgal, Sunish K Joshi, Anupama Rothe, Nolan Wilson, Duane L McGraw, Nathan Vadlani, Praveen V Li, Wanlong Gill, Bikram S |
author_sort | Rawat, Nidhi |
collection | PubMed |
description | BACKGROUND: Triticum monococcum L., an A genome diploid einkorn wheat, was the first domesticated crop. As a diploid, it is attractive genetic model for the study of gene structure and function of wheat-specific traits. Diploid wheat is currently not amenable to reverse genetics approaches such as insertion mutagenesis and post-transcriptional gene silencing strategies. However, TILLING offers a powerful functional genetics approach for wheat gene analysis. RESULTS: We developed a TILLING population of 1,532 M(2) families using EMS as a mutagen. A total of 67 mutants were obtained for the four genes studied. Waxy gene mutation frequencies are known to be 1/17.6 - 34.4 kb DNA in polyploid wheat TILLING populations. The T. monococcum diploid wheat TILLING population had a mutation frequency of 1/90 kb for the same gene. Lignin biosynthesis pathway genes- COMT1, HCT2, and 4CL1 had mutation frequencies of 1/86 kb, 1/92 kb and 1/100 kb, respectively. The overall mutation frequency of the diploid wheat TILLING population was 1/92 kb. CONCLUSION: The mutation frequency of a diploid wheat TILLING population was found to be higher than that reported for other diploid grasses. The rate, however, is lower than tetraploid and hexaploid wheat TILLING populations because of the higher tolerance of polyploids to mutations. Unlike polyploid wheat, most mutants in diploid wheat have a phenotype amenable to forward and reverse genetic analysis and establish diploid wheat as an attractive model to study gene function in wheat. We estimate that a TILLING population of 5, 520 will be needed to get a non-sense mutation for every wheat gene of interest with 95% probability. |
format | Online Article Text |
id | pubmed-3541219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35412192013-01-11 A diploid wheat TILLING resource for wheat functional genomics Rawat, Nidhi Sehgal, Sunish K Joshi, Anupama Rothe, Nolan Wilson, Duane L McGraw, Nathan Vadlani, Praveen V Li, Wanlong Gill, Bikram S BMC Plant Biol Research Article BACKGROUND: Triticum monococcum L., an A genome diploid einkorn wheat, was the first domesticated crop. As a diploid, it is attractive genetic model for the study of gene structure and function of wheat-specific traits. Diploid wheat is currently not amenable to reverse genetics approaches such as insertion mutagenesis and post-transcriptional gene silencing strategies. However, TILLING offers a powerful functional genetics approach for wheat gene analysis. RESULTS: We developed a TILLING population of 1,532 M(2) families using EMS as a mutagen. A total of 67 mutants were obtained for the four genes studied. Waxy gene mutation frequencies are known to be 1/17.6 - 34.4 kb DNA in polyploid wheat TILLING populations. The T. monococcum diploid wheat TILLING population had a mutation frequency of 1/90 kb for the same gene. Lignin biosynthesis pathway genes- COMT1, HCT2, and 4CL1 had mutation frequencies of 1/86 kb, 1/92 kb and 1/100 kb, respectively. The overall mutation frequency of the diploid wheat TILLING population was 1/92 kb. CONCLUSION: The mutation frequency of a diploid wheat TILLING population was found to be higher than that reported for other diploid grasses. The rate, however, is lower than tetraploid and hexaploid wheat TILLING populations because of the higher tolerance of polyploids to mutations. Unlike polyploid wheat, most mutants in diploid wheat have a phenotype amenable to forward and reverse genetic analysis and establish diploid wheat as an attractive model to study gene function in wheat. We estimate that a TILLING population of 5, 520 will be needed to get a non-sense mutation for every wheat gene of interest with 95% probability. BioMed Central 2012-11-07 /pmc/articles/PMC3541219/ /pubmed/23134614 http://dx.doi.org/10.1186/1471-2229-12-205 Text en Copyright ©2012 Rawat 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 Rawat, Nidhi Sehgal, Sunish K Joshi, Anupama Rothe, Nolan Wilson, Duane L McGraw, Nathan Vadlani, Praveen V Li, Wanlong Gill, Bikram S A diploid wheat TILLING resource for wheat functional genomics |
title | A diploid wheat TILLING resource for wheat functional genomics |
title_full | A diploid wheat TILLING resource for wheat functional genomics |
title_fullStr | A diploid wheat TILLING resource for wheat functional genomics |
title_full_unstemmed | A diploid wheat TILLING resource for wheat functional genomics |
title_short | A diploid wheat TILLING resource for wheat functional genomics |
title_sort | diploid wheat tilling resource for wheat functional genomics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3541219/ https://www.ncbi.nlm.nih.gov/pubmed/23134614 http://dx.doi.org/10.1186/1471-2229-12-205 |
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