Literature DB >> 16140990

Why do human diversity levels vary at a megabase scale?

Ines Hellmann1, Kay Prüfer, Hongkai Ji, Michael C Zody, Svante Pääbo, Susan E Ptak.   

Abstract

Levels of diversity vary across the human genome. This variation is caused by two forces: differences in mutation rates and the differential impact of natural selection. Pertinent to the question of the relative importance of these two forces is the observation that both diversity within species and interspecies divergence increase with recombination rates. This suggests that mutation and recombination are either directly coupled or linked through some third factor. Here, we test these possibilities using the recently generated sequence of the chimpanzee genome and new estimates of human diversity. We find that measures of GC and CpG content, simple-repeat structures, as well as the distance from the centromeres and the telomeres predict diversity as well as divergence. After controlling for these factors, large-scale recombination rates measured from pedigrees are still significant predictors of human diversity and human-chimpanzee divergence. Furthermore, the correlation between human diversity and recombination remains significant even after controlling for human-chimpanzee divergence. Two plausible and non-mutually exclusive explanations are, first, that natural selection has shaped the patterns of diversity seen in humans and, second, that recombination rates across the genome have changed since humans and chimpanzees shared a common ancestor, so that current recombination rates are a better predictor of diversity than of divergence. Because there are indications that recombination rates may have changed rapidly during human evolution, we favor the latter explanation.

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Year:  2005        PMID: 16140990      PMCID: PMC1199536          DOI: 10.1101/gr.3461105

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  62 in total

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3.  Densities, length proportions, and other distributional features of repetitive sequences in the human genome estimated from 430 megabases of genomic sequence.

Authors:  Z Gu; H Wang; A Nekrutenko; W H Li
Journal:  Gene       Date:  2000-12-23       Impact factor: 3.688

4.  Estimate of the mutation rate per nucleotide in humans.

Authors:  M W Nachman; S L Crowell
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

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Journal:  Genomics       Date:  2000-08-01       Impact factor: 5.736

6.  Bayesian Markov chain Monte Carlo sequence analysis reveals varying neutral substitution patterns in mammalian evolution.

Authors:  Dick G Hwang; Phil Green
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-03       Impact factor: 11.205

7.  Chromatin architecture of the human genome: gene-rich domains are enriched in open chromatin fibers.

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Authors:  F C Chen; W H Li
Journal:  Am J Hum Genet       Date:  2001-01-15       Impact factor: 11.025

10.  Recombination rate and reproductive success in humans.

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  89 in total

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2.  Quantifying the variation in the effective population size within a genome.

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3.  Patterns of neutral diversity under general models of selective sweeps.

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Journal:  Genetics       Date:  2012-06-19       Impact factor: 4.562

4.  The mutational spectrum of non-CpG DNA varies with CpG content.

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Journal:  Genome Res       Date:  2010-05-24       Impact factor: 9.043

5.  Structural and functional divergence of a 1-Mb duplicated region in the soybean (Glycine max) genome and comparison to an orthologous region from Phaseolus vulgaris.

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Journal:  Plant Cell       Date:  2010-08-20       Impact factor: 11.277

6.  Natural selection shapes nucleotide polymorphism across the genome of the nematode Caenorhabditis briggsae.

Authors:  Asher D Cutter; Jae Young Choi
Journal:  Genome Res       Date:  2010-05-27       Impact factor: 9.043

7.  Are Synonymous Sites in Primates and Rodents Functionally Constrained?

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Journal:  J Mol Evol       Date:  2015-11-12       Impact factor: 2.395

Review 8.  Emerging patterns of somatic mutations in cancer.

Authors:  Ian R Watson; Koichi Takahashi; P Andrew Futreal; Lynda Chin
Journal:  Nat Rev Genet       Date:  2013-09-11       Impact factor: 53.242

9.  Genetic and evolutionary correlates of fine-scale recombination rate variation in Drosophila persimilis.

Authors:  Laurie S Stevison; Mohamed A F Noor
Journal:  J Mol Evol       Date:  2010-10-02       Impact factor: 2.395

Review 10.  DNA replication timing, genome stability and cancer: late and/or delayed DNA replication timing is associated with increased genomic instability.

Authors:  Nathan Donley; Mathew J Thayer
Journal:  Semin Cancer Biol       Date:  2013-01-14       Impact factor: 15.707

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