Dataset: Sample information and genetic accession information for raw low-coverage genomic sequence reads from 248 different Atlantic silverside (Menidia menidia) collected along the east coast of North America between 2005 to 2007

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.854878.1Version 1 (2021-06-30)Dataset Type:Other Field Results

Principal Investigator: Nina Overgaard Therkildsen (Cornell University)

Co-Principal Investigator: Hannes Baumann (University of Connecticut)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline (GenomAdapt)


Abstract

Sample information and genetic accession information for raw low-coverage genomic sequence reads from 248 different Atlantic silverside individuals (some individuals are represented by multiple sequence data files). The raw low-coverage genomic sequence reads are deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject PRJNA376564. These data were published in Wilder et al. (2020).

The following is an excerpt of the methods used to generate these data. Full details can be found in the associated publication and supplemental material of Wilder et al. (2020).

Data generation:

Atlantic silverside muscle samples collected from Georgia (GA), New York (NY), Gulf of Maine (GoM) and Gulf of St. Lawrence (GSL) were sequenced by Therkildsen & Palumbi (2017) to a final, average depth of 1.5x across the reference transcriptome. All the samples were collected in the spring.  See Therkildsen & Palumbi (2017) and Therkildsen et al. (2019) for further detail. We added 47 additional samples from Oregon Inlet, North Carolina (NC) near Cape Hatteras. 

Individually barcoded sample libraries were prepared at Cornells Biotechnology Resource Center using similar methods to Therkildsen & Palumbi (2017), with a few minor modifications. Reagents from the Illumina Nextera kit (96 sample Nextera DNA Library Prep Kit) were used at 1/3 the recommended concentration in 1/10 the recommended volume (5ul instead of 50ul), with 2ng of input DNA. Individual libraries were pooled, and size-selected using a Pippin Prep to remove fragments <286 bp (150 bp insert plus 136 bp of Illumina adapters). Filtered mapped reads for the NC samples had a final average depth of 1.5x.

Sampling and analytical procedures:

Samples were collected directly from the wild as described in Hice et al. (2012).

Locations:
Five locations along the east coast of North America.

USA:Jekyll Island,Georgia 31.02 -81.43
USA:Oregon Inlet,NorthCarolina 35.77 -75.52
USA:Minas Basin,Gulf of Maine 45.2 -64.38
USA:Patchogue,NewYork 40.75 -73.00
Canada:Magdalen Island, Gulf of St. Lawrence 47.4 -61.85

Problem report:

The following samples should be excluded from analysis because of possible errors during library preparation:
JekyllIs_1223, JekyllIs_1224, MagdalenIs_911, MagdalenIs_912, MagdalenIs_913, MagdalenIs_914, MagdalenIs_915, MagdalenIs_916, MagdalenIs_917, MagdalenIs_918, Patchogue_1030


Related Datasets

IsRelatedTo

Dataset: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA376564
Cornell University (2017). Menidia menidia Raw sequence reads. 2017/02. NCBI:BioProject: PRJNA376564. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA376564.
IsRelatedTo

Dataset: Allele frequencies and FST estimates
Relationship Description: The raw low-coverage whole genome sequencing reads are the raw data used to generate the allele frequencies and FST estimates (for transcriptome regions only).
Therkildsen, N. O., Baumann, H. (2021) Methodology information and links to data access for allele frequencies and FST estimates for 1,904,119 SNPs analyzed in five population samples of Atlantic silverside (Menidia menidia) collected along the east coast of North America between 2005 to 2007. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-06-29 http://lod.bco-dmo.org/id/dataset/854895
IsRelatedTo

Dataset: Atlantic silverside RNA-seq reads
Relationship Description: The "Raw low-coverage whole genome sequencing reads" are from population samples from five locations, including the two populations studied in the RNA-seq dataset, but the individuals are not related (the fish used for low-coverage whole genome sequencing were sampled ~10 years before the fish used in the RNA-seq study).
Therkildsen, N. O., Baumann, H. (2024) Sample and genetic accession information for RNA-seq data from whole Atlantic silverside (Menidia menidia) larvae from two populations and their F1 hybrids reared under different temperatures in 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-06-29 doi:10.26008/1912/bco-dmo.854887.1

Related Publications

Results

Wilder, A. P., Palumbi, S. R., Conover, D. O., & Therkildsen, N. O. (2020). Footprints of local adaptation span hundreds of linked genes in the Atlantic silverside genome. Evolution Letters, 4(5), 430–443. doi:10.1002/evl3.189
Methods

Hice, L. A., Duffy, T. A., Munch, S. B., & Conover, D. O. (2012). Spatial scale and divergent patterns of variation in adapted traits in the ocean. Ecology Letters, 15(6), 568–575. doi:10.1111/j.1461-0248.2012.01769.x
Methods

Therkildsen, N. O., & Palumbi, S. R. (2017). Practical low-coverage genomewide sequencing of hundreds of individually barcoded samples for population and evolutionary genomics in nonmodel species. Molecular Ecology Resources, 17(2), 194–208. doi:10.1111/1755-0998.12593
Methods

Therkildsen, N. O., Wilder, A. P., Conover, D. O., Munch, S. B., Baumann, H., & Palumbi, S. R. (2019). Contrasting genomic shifts underlie parallel phenotypic evolution in response to fishing. Science, 365(6452), 487–490. doi:10.1126/science.aaw7271