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Sorghum Genome Sequencing by Methylation Filtration
Sorghum bicolor is a close relative of maize and is a staple crop in Africa and much of the developing world because of its superior tolerance of arid growth conditions. We have generated sequence from the hypomethylated portion of the sorghum genome by applying methylation filtration (MF) technolog...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539327/ https://www.ncbi.nlm.nih.gov/pubmed/15660154 http://dx.doi.org/10.1371/journal.pbio.0030013 |
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author | Bedell, Joseph A Budiman, Muhammad A Nunberg, Andrew Citek, Robert W Robbins, Dan Jones, Joshua Flick, Elizabeth Rohlfing, Theresa Fries, Jason Bradford, Kourtney McMenamy, Jennifer Smith, Michael Holeman, Heather Roe, Bruce A Wiley, Graham Korf, Ian F Rabinowicz, Pablo D Lakey, Nathan McCombie, W. Richard Jeddeloh, Jeffrey A Martienssen, Robert A |
author_facet | Bedell, Joseph A Budiman, Muhammad A Nunberg, Andrew Citek, Robert W Robbins, Dan Jones, Joshua Flick, Elizabeth Rohlfing, Theresa Fries, Jason Bradford, Kourtney McMenamy, Jennifer Smith, Michael Holeman, Heather Roe, Bruce A Wiley, Graham Korf, Ian F Rabinowicz, Pablo D Lakey, Nathan McCombie, W. Richard Jeddeloh, Jeffrey A Martienssen, Robert A |
author_sort | Bedell, Joseph A |
collection | PubMed |
description | Sorghum bicolor is a close relative of maize and is a staple crop in Africa and much of the developing world because of its superior tolerance of arid growth conditions. We have generated sequence from the hypomethylated portion of the sorghum genome by applying methylation filtration (MF) technology. The evidence suggests that 96% of the genes have been sequence tagged, with an average coverage of 65% across their length. Remarkably, this level of gene discovery was accomplished after generating a raw coverage of less than 300 megabases of the 735-megabase genome. MF preferentially captures exons and introns, promoters, microRNAs, and simple sequence repeats, and minimizes interspersed repeats, thus providing a robust view of the functional parts of the genome. The sorghum MF sequence set is beneficial to research on sorghum and is also a powerful resource for comparative genomics among the grasses and across the entire plant kingdom. Thousands of hypothetical gene predictions in rice and Arabidopsis are supported by the sorghum dataset, and genomic similarities highlight evolutionarily conserved regions that will lead to a better understanding of rice and Arabidopsis. |
format | Text |
id | pubmed-539327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-5393272005-01-04 Sorghum Genome Sequencing by Methylation Filtration Bedell, Joseph A Budiman, Muhammad A Nunberg, Andrew Citek, Robert W Robbins, Dan Jones, Joshua Flick, Elizabeth Rohlfing, Theresa Fries, Jason Bradford, Kourtney McMenamy, Jennifer Smith, Michael Holeman, Heather Roe, Bruce A Wiley, Graham Korf, Ian F Rabinowicz, Pablo D Lakey, Nathan McCombie, W. Richard Jeddeloh, Jeffrey A Martienssen, Robert A PLoS Biol Research Article Sorghum bicolor is a close relative of maize and is a staple crop in Africa and much of the developing world because of its superior tolerance of arid growth conditions. We have generated sequence from the hypomethylated portion of the sorghum genome by applying methylation filtration (MF) technology. The evidence suggests that 96% of the genes have been sequence tagged, with an average coverage of 65% across their length. Remarkably, this level of gene discovery was accomplished after generating a raw coverage of less than 300 megabases of the 735-megabase genome. MF preferentially captures exons and introns, promoters, microRNAs, and simple sequence repeats, and minimizes interspersed repeats, thus providing a robust view of the functional parts of the genome. The sorghum MF sequence set is beneficial to research on sorghum and is also a powerful resource for comparative genomics among the grasses and across the entire plant kingdom. Thousands of hypothetical gene predictions in rice and Arabidopsis are supported by the sorghum dataset, and genomic similarities highlight evolutionarily conserved regions that will lead to a better understanding of rice and Arabidopsis. Public Library of Science 2005-01 2005-01-04 /pmc/articles/PMC539327/ /pubmed/15660154 http://dx.doi.org/10.1371/journal.pbio.0030013 Text en Copyright: © 2005 Bedell et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bedell, Joseph A Budiman, Muhammad A Nunberg, Andrew Citek, Robert W Robbins, Dan Jones, Joshua Flick, Elizabeth Rohlfing, Theresa Fries, Jason Bradford, Kourtney McMenamy, Jennifer Smith, Michael Holeman, Heather Roe, Bruce A Wiley, Graham Korf, Ian F Rabinowicz, Pablo D Lakey, Nathan McCombie, W. Richard Jeddeloh, Jeffrey A Martienssen, Robert A Sorghum Genome Sequencing by Methylation Filtration |
title | Sorghum Genome Sequencing by Methylation Filtration |
title_full | Sorghum Genome Sequencing by Methylation Filtration |
title_fullStr | Sorghum Genome Sequencing by Methylation Filtration |
title_full_unstemmed | Sorghum Genome Sequencing by Methylation Filtration |
title_short | Sorghum Genome Sequencing by Methylation Filtration |
title_sort | sorghum genome sequencing by methylation filtration |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539327/ https://www.ncbi.nlm.nih.gov/pubmed/15660154 http://dx.doi.org/10.1371/journal.pbio.0030013 |
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