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Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans

Our recent investigation in the protist Trichomonas vaginalis suggested a DNA sequence periodicity with a unit length of 120.9 nt, which represents a sequence signature for nucleosome positioning. We now extended our observation in higher eukaryotes and identified a similar periodicity of 175 nt in...

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Autores principales: Chen, Kaifu, Wang, Lei, Yang, Meng, Liu, Jiucheng, Xin, Chengqi, Hu, Songnian, Yu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054450/
https://www.ncbi.nlm.nih.gov/pubmed/20691394
http://dx.doi.org/10.1016/S1672-0229(10)60010-1
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author Chen, Kaifu
Wang, Lei
Yang, Meng
Liu, Jiucheng
Xin, Chengqi
Hu, Songnian
Yu, Jun
author_facet Chen, Kaifu
Wang, Lei
Yang, Meng
Liu, Jiucheng
Xin, Chengqi
Hu, Songnian
Yu, Jun
author_sort Chen, Kaifu
collection PubMed
description Our recent investigation in the protist Trichomonas vaginalis suggested a DNA sequence periodicity with a unit length of 120.9 nt, which represents a sequence signature for nucleosome positioning. We now extended our observation in higher eukaryotes and identified a similar periodicity of 175 nt in length in Caenorhabditis elegans. In the process of defining the sequence compositional characteristics, we found that the 10.5-nt periodicity, the sequence signature of DNA double helix, may not be sufficient for cross-nucleosome positioning but provides essential guiding rails to facilitate positioning. We further dissected nucleosome-protected sequences and identified a strong positive purine (AG) gradient from the 5′-end to the 3′-end, and also learnt that the nucleosome-enriched regions are GC-rich as compared to the nucleosome-free sequences as purine content is positively correlated with GC content. Sequence characterization allowed us to develop a hidden Markov model (HMM) algorithm for decoding nucleosome positioning computationally, and based on a set of training data from the fifth chromosome of C. elegans, our algorithm predicted 60%-70% of the well-positioned nucleosomes, which is 15%-20% higher than random positioning. We concluded that nucleosomes are not randomly positioned on DNA sequences and yet bind to different genome regions with variable stability, well-positioned nucleosomes leave sequence signatures on DNA, and statistical positioning of nucleosomes across genome can be decoded computationally based on these sequence signatures.
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spelling pubmed-50544502016-10-14 Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans Chen, Kaifu Wang, Lei Yang, Meng Liu, Jiucheng Xin, Chengqi Hu, Songnian Yu, Jun Genomics Proteomics Bioinformatics Article Our recent investigation in the protist Trichomonas vaginalis suggested a DNA sequence periodicity with a unit length of 120.9 nt, which represents a sequence signature for nucleosome positioning. We now extended our observation in higher eukaryotes and identified a similar periodicity of 175 nt in length in Caenorhabditis elegans. In the process of defining the sequence compositional characteristics, we found that the 10.5-nt periodicity, the sequence signature of DNA double helix, may not be sufficient for cross-nucleosome positioning but provides essential guiding rails to facilitate positioning. We further dissected nucleosome-protected sequences and identified a strong positive purine (AG) gradient from the 5′-end to the 3′-end, and also learnt that the nucleosome-enriched regions are GC-rich as compared to the nucleosome-free sequences as purine content is positively correlated with GC content. Sequence characterization allowed us to develop a hidden Markov model (HMM) algorithm for decoding nucleosome positioning computationally, and based on a set of training data from the fifth chromosome of C. elegans, our algorithm predicted 60%-70% of the well-positioned nucleosomes, which is 15%-20% higher than random positioning. We concluded that nucleosomes are not randomly positioned on DNA sequences and yet bind to different genome regions with variable stability, well-positioned nucleosomes leave sequence signatures on DNA, and statistical positioning of nucleosomes across genome can be decoded computationally based on these sequence signatures. Elsevier 2010-06 2010-08-04 /pmc/articles/PMC5054450/ /pubmed/20691394 http://dx.doi.org/10.1016/S1672-0229(10)60010-1 Text en © 2010 Beijing Institute of Genomics http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Article
Chen, Kaifu
Wang, Lei
Yang, Meng
Liu, Jiucheng
Xin, Chengqi
Hu, Songnian
Yu, Jun
Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans
title Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans
title_full Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans
title_fullStr Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans
title_full_unstemmed Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans
title_short Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans
title_sort sequence signatures of nucleosome positioning in caenorhabditis elegans
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054450/
https://www.ncbi.nlm.nih.gov/pubmed/20691394
http://dx.doi.org/10.1016/S1672-0229(10)60010-1
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