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GenomeLandscaper: Landscape analysis of genome-fingerprints maps assessing chromosome architecture

Assessing correctness of an assembled chromosome architecture is a central challenge. We create a geometric analysis method (called GenomeLandscaper) to conduct landscape analysis of genome-fingerprints maps (GFM), trace large-scale repetitive regions, and assess their impacts on the global architec...

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Autores principales: Ai, Hannan, Ai, Yuncan, Meng, Fanmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773709/
https://www.ncbi.nlm.nih.gov/pubmed/29348569
http://dx.doi.org/10.1038/s41598-018-19366-2
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author Ai, Hannan
Ai, Yuncan
Meng, Fanmei
author_facet Ai, Hannan
Ai, Yuncan
Meng, Fanmei
author_sort Ai, Hannan
collection PubMed
description Assessing correctness of an assembled chromosome architecture is a central challenge. We create a geometric analysis method (called GenomeLandscaper) to conduct landscape analysis of genome-fingerprints maps (GFM), trace large-scale repetitive regions, and assess their impacts on the global architectures of assembled chromosomes. We develop an alignment-free method for phylogenetics analysis. The human Y chromosomes (GRCh.chrY, HuRef.chrY and YH.chrY) are analysed as a proof-of-concept study. We construct a galaxy of genome-fingerprints maps (GGFM) for them, and a landscape compatibility among relatives is observed. But a long sharp straight line on the GGFM breaks such a landscape compatibility, distinguishing GRCh38p1.chrY (and throughout GRCh38p7.chrY) from GRCh37p13.chrY, HuRef.chrY and YH.chrY. We delete a 1.30-Mbp target segment to rescue the landscape compatibility, matching the antecedent GRCh37p13.chrY. We re-locate it into the modelled centromeric and pericentromeric region of GRCh38p10.chrY, matching a gap placeholder of GRCh37p13.chrY. We decompose it into sub-constituents (such as BACs, interspersed repeats, and tandem repeats) and trace their homologues by phylogenetics analysis. We elucidate that most examined tandem repeats are of reasonable quality, but the BAC-sized repeats, 173U1020C (176.46 Kbp) and 5U41068C (205.34 Kbp), are likely over-repeated. These results offer unique insights into the centromeric and pericentromeric regions of the human Y chromosomes.
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spelling pubmed-57737092018-01-26 GenomeLandscaper: Landscape analysis of genome-fingerprints maps assessing chromosome architecture Ai, Hannan Ai, Yuncan Meng, Fanmei Sci Rep Article Assessing correctness of an assembled chromosome architecture is a central challenge. We create a geometric analysis method (called GenomeLandscaper) to conduct landscape analysis of genome-fingerprints maps (GFM), trace large-scale repetitive regions, and assess their impacts on the global architectures of assembled chromosomes. We develop an alignment-free method for phylogenetics analysis. The human Y chromosomes (GRCh.chrY, HuRef.chrY and YH.chrY) are analysed as a proof-of-concept study. We construct a galaxy of genome-fingerprints maps (GGFM) for them, and a landscape compatibility among relatives is observed. But a long sharp straight line on the GGFM breaks such a landscape compatibility, distinguishing GRCh38p1.chrY (and throughout GRCh38p7.chrY) from GRCh37p13.chrY, HuRef.chrY and YH.chrY. We delete a 1.30-Mbp target segment to rescue the landscape compatibility, matching the antecedent GRCh37p13.chrY. We re-locate it into the modelled centromeric and pericentromeric region of GRCh38p10.chrY, matching a gap placeholder of GRCh37p13.chrY. We decompose it into sub-constituents (such as BACs, interspersed repeats, and tandem repeats) and trace their homologues by phylogenetics analysis. We elucidate that most examined tandem repeats are of reasonable quality, but the BAC-sized repeats, 173U1020C (176.46 Kbp) and 5U41068C (205.34 Kbp), are likely over-repeated. These results offer unique insights into the centromeric and pericentromeric regions of the human Y chromosomes. Nature Publishing Group UK 2018-01-18 /pmc/articles/PMC5773709/ /pubmed/29348569 http://dx.doi.org/10.1038/s41598-018-19366-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ai, Hannan
Ai, Yuncan
Meng, Fanmei
GenomeLandscaper: Landscape analysis of genome-fingerprints maps assessing chromosome architecture
title GenomeLandscaper: Landscape analysis of genome-fingerprints maps assessing chromosome architecture
title_full GenomeLandscaper: Landscape analysis of genome-fingerprints maps assessing chromosome architecture
title_fullStr GenomeLandscaper: Landscape analysis of genome-fingerprints maps assessing chromosome architecture
title_full_unstemmed GenomeLandscaper: Landscape analysis of genome-fingerprints maps assessing chromosome architecture
title_short GenomeLandscaper: Landscape analysis of genome-fingerprints maps assessing chromosome architecture
title_sort genomelandscaper: landscape analysis of genome-fingerprints maps assessing chromosome architecture
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773709/
https://www.ncbi.nlm.nih.gov/pubmed/29348569
http://dx.doi.org/10.1038/s41598-018-19366-2
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