Title |
Genotype – environment correlations in corals from the Great Barrier Reef
|
---|---|
Published in |
BMC Genomic Data, February 2013
|
DOI | 10.1186/1471-2156-14-9 |
Pubmed ID | |
Authors |
Petra Lundgren, Juan C Vera, Lesa Peplow, Stephanie Manel, Madeleine JH van Oppen |
Abstract |
Knowledge of genetic markers that are correlated to stress tolerance may improve spatial mapping of reef vulnerability and can inform restoration efforts, including the choice of genotypes for breeding and reseeding. In this manuscript we present two methods for screening transcriptome data for candidate genetic markers in two reef building corals, Acropora millepora and Pocillopora damicornis (types α and β). In A. millepora, Single Nucleotide Polymorphisms (SNPs) were pre-selected by targeting genes believed to be involved in the coral thermal stress responses. In P. damicornis (type α and β), SNPs showing varying allele frequencies between two populations from distinct environments were pre-selected. Allele frequencies at nine, five and eight of the pre-selected SNP loci were correlated against gradients of water clarity and temperature in a large number of populations along the Great Barrier Reef. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 33% |
Russia | 1 | 11% |
Japan | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Science communicators (journalists, bloggers, editors) | 2 | 22% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | <1% |
South Africa | 2 | <1% |
Brazil | 1 | <1% |
Australia | 1 | <1% |
Taiwan | 1 | <1% |
United States | 1 | <1% |
Unknown | 208 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 57 | 26% |
Researcher | 46 | 21% |
Student > Master | 34 | 16% |
Student > Bachelor | 13 | 6% |
Other | 8 | 4% |
Other | 26 | 12% |
Unknown | 32 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 105 | 49% |
Environmental Science | 33 | 15% |
Biochemistry, Genetics and Molecular Biology | 22 | 10% |
Earth and Planetary Sciences | 5 | 2% |
Economics, Econometrics and Finance | 2 | <1% |
Other | 11 | 5% |
Unknown | 38 | 18% |