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      Study of Modern Human Evolution via Comparative Analysis with the Neanderthal Genome

      review-article
      ,
      Genomics & Informatics
      Korea Genome Organization
      biological evolution, comparative genomics, humans, Neanderthals

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          Abstract

          Many other human species appeared in evolution in the last 6 million years that have not been able to survive to modern times and are broadly known as archaic humans, as opposed to the extant modern humans. It has always been considered fascinating to compare the modern human genome with that of archaic humans to identify modern human-specific sequence variants and figure out those that made modern humans different from their predecessors or cousin species. Neanderthals are the latest humans to become extinct, and many factors made them the best representatives of archaic humans. Even though a number of comparisons have been made sporadically between Neanderthals and modern humans, mostly following a candidate gene approach, the major breakthrough took place with the sequencing of the Neanderthal genome. The initial genome-wide comparison, based on the first draft of the Neanderthal genome, has generated some interesting inferences regarding variations in functional elements that are not shared by the two species and the debated admixture question. However, there are certain other genetic elements that were not included or included at a smaller scale in those studies, and they should be compared comprehensively to better understand the molecular make-up of modern humans and their phenotypic characteristics. Besides briefly discussing the important outcomes of the comparative analyses made so far between modern humans and Neanderthals, we propose that future comparative studies may include retrotransposons, pseudogenes, and conserved non-coding regions, all of which might have played significant roles during the evolution of modern humans.

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          Most cited references76

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          Mobile elements: drivers of genome evolution.

          Mobile elements within genomes have driven genome evolution in diverse ways. Particularly in plants and mammals, retrotransposons have accumulated to constitute a large fraction of the genome and have shaped both genes and the entire genome. Although the host can often control their numbers, massive expansions of retrotransposons have been tolerated during evolution. Now mobile elements are becoming useful tools for learning more about genome evolution and gene function.
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            Evolutionary and biomedical insights from the rhesus macaque genome.

            The rhesus macaque (Macaca mulatta) is an abundant primate species that diverged from the ancestors of Homo sapiens about 25 million years ago. Because they are genetically and physiologically similar to humans, rhesus monkeys are the most widely used nonhuman primate in basic and applied biomedical research. We determined the genome sequence of an Indian-origin Macaca mulatta female and compared the data with chimpanzees and humans to reveal the structure of ancestral primate genomes and to identify evidence for positive selection and lineage-specific expansions and contractions of gene families. A comparison of sequences from individual animals was used to investigate their underlying genetic diversity. The complete description of the macaque genome blueprint enhances the utility of this animal model for biomedical research and improves our understanding of the basic biology of the species.
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              Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells.

              MicroRNAs (miRNAs) are emerging as important, albeit poorly characterized, regulators of biological processes. Key to further elucidation of their roles is the generation of more complete lists of their numbers and expression changes in different cell states. Here, we report a new method for surveying the expression of small RNAs, including microRNAs, using Illumina sequencing technology. We also present a set of methods for annotating sequences deriving from known miRNAs, identifying variability in mature miRNA sequences, and identifying sequences belonging to previously unidentified miRNA genes. Application of this approach to RNA from human embryonic stem cells obtained before and after their differentiation into embryoid bodies revealed the sequences and expression levels of 334 known plus 104 novel miRNA genes. One hundred seventy-one known and 23 novel microRNA sequences exhibited significant expression differences between these two developmental states. Owing to the increased number of sequence reads, these libraries represent the deepest miRNA sampling to date, spanning nearly six orders of magnitude of expression. The predicted targets of those miRNAs enriched in either sample shared common features. Included among the high-ranked predicted gene targets are those implicated in differentiation, cell cycle control, programmed cell death, and transcriptional regulation.
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                Author and article information

                Journal
                Genomics Inform
                Genomics Inform
                GNI
                Genomics & Informatics
                Korea Genome Organization
                1598-866X
                2234-0742
                December 2013
                31 December 2013
                : 11
                : 4
                : 230-238
                Affiliations
                Department of Biological Sciences, Brock University, St. Catharines, ON L2S 3A1, Canada.
                Author notes
                Corresponding author: Tel: +1-905-688-5550, Fax: +1-905-688-1855, pliang@ 123456brocku.ca
                Article
                10.5808/GI.2013.11.4.230
                3897851
                d4d7b3d9-21cd-4ad2-9724-0f6f9e86e60a
                Copyright © 2013 by the Korea Genome Organization

                It is identical to the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/).

                History
                : 18 October 2013
                : 20 November 2013
                : 21 November 2013
                Funding
                Funded by: Canada Research Chair program
                Funded by: Canadian Foundation of Innovation
                Funded by: Ontario Ministry of Research & Innovation (OMRI)
                Funded by: Brock University
                Funded by: Natural Sciences and Engineering Research Council (NSERC)
                Categories
                Review Article

                Genetics
                biological evolution,comparative genomics,humans,neanderthals
                Genetics
                biological evolution, comparative genomics, humans, neanderthals

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