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两种组成极端情况的人鼠直系同源基因之间氨基酸和核苷酸替换模式的反向极化。

Reverse polarization in amino acid and nucleotide substitution patterns between human-mouse orthologs of two compositional extrema.

作者信息

Bag Sumit K, Paul Sandip, Ghosh Subhagata, Dutta Chitra

机构信息

Bioinformatics Centre, Indian Institute of Chemical Biology, Kolkata, India.

出版信息

DNA Res. 2007 Aug 31;14(4):141-54. doi: 10.1093/dnares/dsm015. Epub 2007 Sep 25.

DOI:10.1093/dnares/dsm015
PMID:17895298
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2533592/
Abstract

Genome-wide analysis of sequence divergence patterns in 12,024 human-mouse orthologous pairs reveals, for the first time, that the trends in nucleotide and amino acid substitutions in orthologs of high and low GC composition are highly asymmetric and polarized to opposite directions. The entire dataset has been divided into three groups on the basis of the GC content at third codon sites of human genes: high, medium, and low. High-GC orthologs exhibit significant bias in favor of the replacements, Thr --> Ala, Ser --> Ala, Val --> Ala, Lys --> Arg, Asn --> Ser, Ile --> Val etc., from mouse to human, whereas in low-GC orthologs, the reverse trends prevail. In general, in the high-GC group, residues encoded by A/U-rich codons of mouse proteins tend to be replaced by the residues encoded by relatively G/C-rich codons in their human orthologs, whereas the opposite trend is observed among the low-GC orthologous pairs. The medium-GC group shares some trends with high-GC group and some with low-GC group. The only significant trend common in all groups of orthologs, irrespective of their GC bias, is (Asp)(Mouse) --> (Glu)(Human) replacement. At the nucleotide level, high-GC orthologs have undergone a large excess of (A/T)(Mouse) --> (G/C)(Human) substitutions over (G/C)(Mouse) --> (A/T)(Human) at each codon position, whereas for low-GC orthologs, the reverse is true.

摘要

对12024个人类-小鼠直系同源基因对的全基因组序列差异模式分析首次揭示,高GC含量和低GC含量直系同源基因的核苷酸和氨基酸替换趋势高度不对称且方向相反。根据人类基因第三密码子位点的GC含量,整个数据集被分为三组:高、中、低。高GC含量的直系同源基因在从小鼠到人类的替换中表现出显著偏向,如Thr→Ala、Ser→Ala、Val→Ala、Lys→Arg、Asn→Ser、Ile→Val等,而在低GC含量的直系同源基因中,情况则相反。一般来说,在高GC含量组中,小鼠蛋白质中由富含A/U密码子编码的残基往往被其人类直系同源基因中由相对富含G/C密码子编码的残基所取代,而在低GC含量的直系同源基因对中则观察到相反的趋势。中等GC含量组与高GC含量组有一些共同趋势,与低GC含量组也有一些共同趋势。所有直系同源基因组中唯一显著的共同趋势,无论其GC偏向如何,是(Asp)(小鼠)→(Glu)(人类)替换。在核苷酸水平上,高GC含量的直系同源基因在每个密码子位置上(A/T)(小鼠)→(G/C)(人类)的替换量大大超过(G/C)(小鼠)→(A/T)(人类),而对于低GC含量的直系同源基因,情况则相反。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1859/2533592/1f72bb2b6ea5/dsm01503.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1859/2533592/923851db41e8/dsm01501.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1859/2533592/9f197b37a8a9/dsm01502.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1859/2533592/1f72bb2b6ea5/dsm01503.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1859/2533592/923851db41e8/dsm01501.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1859/2533592/9f197b37a8a9/dsm01502.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1859/2533592/1f72bb2b6ea5/dsm01503.jpg

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2
Are GC-rich isochores vanishing in mammals?富含GC的等密度区在哺乳动物中正在消失吗?
Gene. 2006 Dec 30;385:50-6. doi: 10.1016/j.gene.2006.03.026. Epub 2006 Aug 5.
3
SPEED: a molecular-evolution-based database of mammalian orthologous groups.SPEED:一个基于分子进化的哺乳动物直系同源基因数据库。
J Theor Biol. 2010 Jun 7;264(3):711-21. doi: 10.1016/j.jtbi.2010.03.046. Epub 2010 Apr 3.
4
Molecular signature of hypersaline adaptation: insights from genome and proteome composition of halophilic prokaryotes.嗜盐微生物的基因组和蛋白质组组成:高盐适应性的分子特征。
Genome Biol. 2008 Apr 9;9(4):R70. doi: 10.1186/gb-2008-9-4-r70.
Bioinformatics. 2006 Nov 15;22(22):2835-7. doi: 10.1093/bioinformatics/btl471. Epub 2006 Sep 11.
4
Molecular dating: ape bones agree with chicken entrails.分子年代测定:猿骨与鸡内脏的结果一致。
Trends Genet. 2005 Feb;21(2):89-92. doi: 10.1016/j.tig.2004.12.006.
5
Inaccurate reconstruction of ancestral GC levels creates a "vanishing isochores" effect.祖先GC含量的不准确重建会产生“消失的等密度区”效应。
Mol Phylogenet Evol. 2004 May;31(2):788-93. doi: 10.1016/j.ympev.2004.01.016.
6
Mutational bias affects protein evolution in flowering plants.突变偏向影响开花植物中的蛋白质进化。
Mol Biol Evol. 2004 Jan;21(1):90-6. doi: 10.1093/molbev/msh003. Epub 2003 Oct 31.
7
A unification of mosaic structures in the human genome.人类基因组中镶嵌结构的统一。
Hum Mol Genet. 2003 Oct 1;12(19):2411-5. doi: 10.1093/hmg/ddg251. Epub 2003 Jul 29.
8
Distinct changes of genomic biases in nucleotide substitution at the time of Mammalian radiation.哺乳动物辐射时期核苷酸替换中基因组偏向性的明显变化。
Mol Biol Evol. 2003 Nov;20(11):1887-96. doi: 10.1093/molbev/msg204. Epub 2003 Jul 28.
9
Compositional evolution of noncoding DNA in the human and chimpanzee genomes.人类和黑猩猩基因组中非编码DNA的组成进化
Mol Biol Evol. 2003 Feb;20(2):278-86. doi: 10.1093/molbev/msg037.
10
Vanishing GC-rich isochores in mammalian genomes.哺乳动物基因组中富含GC的等密度区消失
Genetics. 2002 Dec;162(4):1837-47. doi: 10.1093/genetics/162.4.1837.