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Tissue-driven hypothesis of genomic evolution and sequence-expression correlations

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Zeitschriftentitel: Proceedings of the National Academy of Sciences
Personen und Körperschaften: Gu, Xun, Su, Zhixi
In: Proceedings of the National Academy of Sciences, 104, 2007, 8, S. 2779-2784
Format: E-Article
Sprache: Englisch
veröffentlicht:
Proceedings of the National Academy of Sciences
Schlagwörter:
Multidisciplinary
author_facet Gu, Xun
Su, Zhixi
Gu, Xun
Su, Zhixi
author Gu, Xun
Su, Zhixi
spellingShingle Gu, Xun
Su, Zhixi
Proceedings of the National Academy of Sciences
Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
Multidisciplinary
author_sort gu, xun
spelling Gu, Xun Su, Zhixi 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.0610797104 <jats:p> To maintain normal physiological functions, different tissues may have different developmental constraints on expressed genes. Consequently, the evolutionary tolerance for genomic evolution varies among tissues. Here, we formulate this argument as a “tissue-driven hypothesis” based on the stabilizing selection model. Moreover, several predicted genomic correlations are tested by the human–mouse microarray data. Our results are as follows. First, between the human and mouse, we have elaborated the among-tissue covariation between tissue expression distance ( <jats:italic>E</jats:italic> <jats:sub>ti</jats:sub> ) and tissue sequence distance ( <jats:italic>D</jats:italic> <jats:sub>ti</jats:sub> ). This highly significant <jats:italic>E</jats:italic> <jats:sub>ti</jats:sub> − <jats:italic>D</jats:italic> <jats:sub>ti</jats:sub> correlation emerges when the expression divergence and protein sequence divergence are under the same tissue constraints. Second, the tissue-driven hypothesis further explains the observed significant correlation between the tissue expression distance (between the human and mouse) and the duplicate tissue distance ( <jats:italic>T</jats:italic> <jats:sub>dup</jats:sub> ) between human (or mouse) paralogous genes. In other words, between-duplicate and interspecies expression divergences covary among tissues. Third, for genes with the same expression broadness, we found that genes expressed in more stringent tissues (e.g., neurorelated) generally tend to evolve more slowly than those in more relaxed tissues (e.g., hormone-related). We conclude that tissue factors should be considered as an important component in shaping the pattern of genomic evolution and correlations. </jats:p> Tissue-driven hypothesis of genomic evolution and sequence-expression correlations Proceedings of the National Academy of Sciences
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title Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_unstemmed Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_full Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_fullStr Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_full_unstemmed Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_short Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_sort tissue-driven hypothesis of genomic evolution and sequence-expression correlations
topic Multidisciplinary
url http://dx.doi.org/10.1073/pnas.0610797104
publishDate 2007
physical 2779-2784
description <jats:p> To maintain normal physiological functions, different tissues may have different developmental constraints on expressed genes. Consequently, the evolutionary tolerance for genomic evolution varies among tissues. Here, we formulate this argument as a “tissue-driven hypothesis” based on the stabilizing selection model. Moreover, several predicted genomic correlations are tested by the human–mouse microarray data. Our results are as follows. First, between the human and mouse, we have elaborated the among-tissue covariation between tissue expression distance ( <jats:italic>E</jats:italic> <jats:sub>ti</jats:sub> ) and tissue sequence distance ( <jats:italic>D</jats:italic> <jats:sub>ti</jats:sub> ). This highly significant <jats:italic>E</jats:italic> <jats:sub>ti</jats:sub> − <jats:italic>D</jats:italic> <jats:sub>ti</jats:sub> correlation emerges when the expression divergence and protein sequence divergence are under the same tissue constraints. Second, the tissue-driven hypothesis further explains the observed significant correlation between the tissue expression distance (between the human and mouse) and the duplicate tissue distance ( <jats:italic>T</jats:italic> <jats:sub>dup</jats:sub> ) between human (or mouse) paralogous genes. In other words, between-duplicate and interspecies expression divergences covary among tissues. Third, for genes with the same expression broadness, we found that genes expressed in more stringent tissues (e.g., neurorelated) generally tend to evolve more slowly than those in more relaxed tissues (e.g., hormone-related). We conclude that tissue factors should be considered as an important component in shaping the pattern of genomic evolution and correlations. </jats:p>
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author Gu, Xun, Su, Zhixi
author_facet Gu, Xun, Su, Zhixi, Gu, Xun, Su, Zhixi
author_sort gu, xun
container_issue 8
container_start_page 2779
container_title Proceedings of the National Academy of Sciences
container_volume 104
description <jats:p> To maintain normal physiological functions, different tissues may have different developmental constraints on expressed genes. Consequently, the evolutionary tolerance for genomic evolution varies among tissues. Here, we formulate this argument as a “tissue-driven hypothesis” based on the stabilizing selection model. Moreover, several predicted genomic correlations are tested by the human–mouse microarray data. Our results are as follows. First, between the human and mouse, we have elaborated the among-tissue covariation between tissue expression distance ( <jats:italic>E</jats:italic> <jats:sub>ti</jats:sub> ) and tissue sequence distance ( <jats:italic>D</jats:italic> <jats:sub>ti</jats:sub> ). This highly significant <jats:italic>E</jats:italic> <jats:sub>ti</jats:sub> − <jats:italic>D</jats:italic> <jats:sub>ti</jats:sub> correlation emerges when the expression divergence and protein sequence divergence are under the same tissue constraints. Second, the tissue-driven hypothesis further explains the observed significant correlation between the tissue expression distance (between the human and mouse) and the duplicate tissue distance ( <jats:italic>T</jats:italic> <jats:sub>dup</jats:sub> ) between human (or mouse) paralogous genes. In other words, between-duplicate and interspecies expression divergences covary among tissues. Third, for genes with the same expression broadness, we found that genes expressed in more stringent tissues (e.g., neurorelated) generally tend to evolve more slowly than those in more relaxed tissues (e.g., hormone-related). We conclude that tissue factors should be considered as an important component in shaping the pattern of genomic evolution and correlations. </jats:p>
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imprint Proceedings of the National Academy of Sciences, 2007
imprint_str_mv Proceedings of the National Academy of Sciences, 2007
institution DE-D161, DE-Zwi2, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1
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spelling Gu, Xun Su, Zhixi 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.0610797104 <jats:p> To maintain normal physiological functions, different tissues may have different developmental constraints on expressed genes. Consequently, the evolutionary tolerance for genomic evolution varies among tissues. Here, we formulate this argument as a “tissue-driven hypothesis” based on the stabilizing selection model. Moreover, several predicted genomic correlations are tested by the human–mouse microarray data. Our results are as follows. First, between the human and mouse, we have elaborated the among-tissue covariation between tissue expression distance ( <jats:italic>E</jats:italic> <jats:sub>ti</jats:sub> ) and tissue sequence distance ( <jats:italic>D</jats:italic> <jats:sub>ti</jats:sub> ). This highly significant <jats:italic>E</jats:italic> <jats:sub>ti</jats:sub> − <jats:italic>D</jats:italic> <jats:sub>ti</jats:sub> correlation emerges when the expression divergence and protein sequence divergence are under the same tissue constraints. Second, the tissue-driven hypothesis further explains the observed significant correlation between the tissue expression distance (between the human and mouse) and the duplicate tissue distance ( <jats:italic>T</jats:italic> <jats:sub>dup</jats:sub> ) between human (or mouse) paralogous genes. In other words, between-duplicate and interspecies expression divergences covary among tissues. Third, for genes with the same expression broadness, we found that genes expressed in more stringent tissues (e.g., neurorelated) generally tend to evolve more slowly than those in more relaxed tissues (e.g., hormone-related). We conclude that tissue factors should be considered as an important component in shaping the pattern of genomic evolution and correlations. </jats:p> Tissue-driven hypothesis of genomic evolution and sequence-expression correlations Proceedings of the National Academy of Sciences
spellingShingle Gu, Xun, Su, Zhixi, Proceedings of the National Academy of Sciences, Tissue-driven hypothesis of genomic evolution and sequence-expression correlations, Multidisciplinary
title Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_full Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_fullStr Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_full_unstemmed Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_short Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_sort tissue-driven hypothesis of genomic evolution and sequence-expression correlations
title_unstemmed Tissue-driven hypothesis of genomic evolution and sequence-expression correlations
topic Multidisciplinary
url http://dx.doi.org/10.1073/pnas.0610797104