Genomic inference accurately predicts the timing and severity of a recent bottleneck in a nonmodel insect population
Article first published online: 5 DEC 2013
© 2013 John Wiley & Sons Ltd
Volume 23, Issue 1, pages 136–150, January 2014
How to Cite
McCoy, R. C., Garud, N. R., Kelley, J. L., Boggs, C. L. and Petrov, D. A. (2014), Genomic inference accurately predicts the timing and severity of a recent bottleneck in a nonmodel insect population. Molecular Ecology, 23: 136–150. doi: 10.1111/mec.12591
- Issue published online: 24 DEC 2013
- Article first published online: 5 DEC 2013
- Accepted manuscript online: 16 NOV 2013 10:33AM EST
- Manuscript Accepted: 30 OCT 2013
- Manuscript Received: 15 JUL 2013
- NSF GRFP
- NIH. Grant Numbers: RO1GM100366, RO1GM097415
Fig. S1 Results of fitting model A with synonymous SNP data.
Fig. S2 Allele frequency spectra normalized to number of total SNPs of each class (synonymous and nonsynonymous).
Table S1 Summary statistics from Trinity de novo transcriptome assemblies, with kmer lengths ranging from k = 21 to k = 31, odd.
Table S2 Reciprocal blast searches of the Euphydryas gillettii transcriptome assembly (56 536 unique contigs) to the protein databases of Bombyx mori, Danaus plexippus, and Heliconius melpomene.
Table S3 Reciprocal blast searches of the portion of the Euphydryas gillettii transcriptome assembly (2757 unique contigs) in which high-confidence SNPs were discovered to the protein databases of Bombyx mori, Danaus plexippus and Heliconius melpomene.
Table S4 Estimates of E. gillettii population size () at the Gothic, CO main site.
Table S5 Results of regression model with population growth as the response variable and June maximum temperature as a predictor variable.
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