Title |
Genome sequencing and population genomics in non-model organisms
|
---|---|
Published in |
Trends in Ecology & Evolution, October 2013
|
DOI | 10.1016/j.tree.2013.09.008 |
Pubmed ID | |
Authors |
Hans Ellegren |
Abstract |
High-throughput sequencing technologies are revolutionizing the life sciences. The past 12 months have seen a burst of genome sequences from non-model organisms, in each case representing a fundamental source of data of significant importance to biological research. This has bearing on several aspects of evolutionary biology, and we are now beginning to see patterns emerging from these studies. These include significant heterogeneity in the rate of recombination that affects adaptive evolution and base composition, the role of population size in adaptive evolution, and the importance of expansion of gene families in lineage-specific adaptation. Moreover, resequencing of population samples (population genomics) has enabled the identification of the genetic basis of critical phenotypes and cast light on the landscape of genomic divergence during speciation. |
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Geographical breakdown
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United States | 7 | 26% |
United Kingdom | 3 | 11% |
Canada | 2 | 7% |
Norway | 1 | 4% |
India | 1 | 4% |
New Zealand | 1 | 4% |
Unknown | 12 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 14 | 52% |
Members of the public | 11 | 41% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 47 | 3% |
Germany | 9 | <1% |
United Kingdom | 9 | <1% |
Brazil | 8 | <1% |
Switzerland | 5 | <1% |
Australia | 5 | <1% |
Portugal | 5 | <1% |
Netherlands | 4 | <1% |
France | 4 | <1% |
Other | 28 | 2% |
Unknown | 1651 | 93% |
Demographic breakdown
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Researcher | 352 | 20% |
Student > Master | 244 | 14% |
Student > Bachelor | 121 | 7% |
Student > Doctoral Student | 89 | 5% |
Other | 279 | 16% |
Unknown | 178 | 10% |
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Biochemistry, Genetics and Molecular Biology | 263 | 15% |
Environmental Science | 106 | 6% |
Computer Science | 20 | 1% |
Earth and Planetary Sciences | 11 | <1% |
Other | 54 | 3% |
Unknown | 221 | 12% |