19:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1a:T705,

We sampled 19 sites on the Pacific coast of North America, spanning most of the contemporary range of Lottia gigantea (urn:lsid:marinespecies.org:taxname:456593). We non-lethally excised a small piece of foot muscle tissue. For all locations except the four northern sites, we collected tissue from roughly 30 individuals per site, comprised of 10 individuals within each of the following size ranges: 10–25 mm (small), 30–40 mm (medium), and >40 mm (large). Sampling of the four northern sites (i.e., expanded range) also consisted of roughly 10 small, medium, and large individuals per site. However, as individual limpets at these four sites have been closely monitored over the past 8 years, these sites had known cohorts based on the estimated year of settlement. Size classes at sites for which we do not have monitoring data were chosen based on our data and previous growth curves (Kido & Murray, 2003) to approximately group individuals into those that settled during the marine heatwaves (MHWs), soon after the MHWs (late 2016 or late 2017), or well after the MHWs (late 2018 or late 2019). Tissue was stored in 90% ethanol at −20°C. We used the Qiagen DNeasy extraction kit to perform DNA extractions following the manufacturer's protocols. DNA quantity and quality were assessed with NanoDrop, Qubit, and gel electrophoresis. Library preparation followed the Nextera Lite protocol, with adaptations following Rowan et al. (2019). Briefly, this consisted of normalizing samples, tagmentation, PCR, pooling samples, and bead size selection. The purified samples were run on a High Sensitivity DNA Bioanalyzer chip and then sent to BGI Genomics for whole-genome sequencing on the DNBSEQ-T7 PE150 platform on four lanes of sequencing.

1b:T564,- Loaded Lottia_metadata.xlsx into BCO-DMO system - Loaded Lottia_reads.cov.xlsx into BCO-DMO system - Converted lottia_metadata-1 field date from %m/%d/%y to %Y-%m-%d - Inner-joined lottia_reads.cov-1 (target) with lottia_metadata-1 (source) on key Library Name - Set data types in lottia_reads.cov-1: % Dups number; % GC integer; Read Length number; M Seqs number; mill integer; #reads number (scientific notation output); read length integer; read X read length number (scientific notation output); genome size number (scientific notation output); Cov number; latitude number; longitude number; size number; size_group string; date date with format %Y-%m-%d - Renamed multiple fields: "Library Name" → Library_Name, "Sample ID" → Sample_ID, "% Dups" → Percent_Dups, "% GC" → Percent_GC, "Read_Length" → Average_read_length, "M Seqs" → M_Seqs, "#reads" → num_reads, "read_length" → sequencer_read_length , "read X read length" → read_X_read_length, "genome size" → genome_size - Standardized site text in lottia_reads.cov-1 via find/replace to comply with BCO-DMO character guidance: “Bahía Asunción”→“Bahia Asuncion”; then “Bahía”→“Bahia” - Renamed resource lottia_reads.cov-1 to 958640_v1_lottia_genome. - Exported final output as CSV named 958640_v1_lottia_genome.csv Accepted species identifier confirmed on 2026-03-17. 1c:T554,As climatic variation re-shapes global biodiversity, understanding eco-evolutionary feedbacks during species range shifts is of increasing importance. Theory on range expansions distinguishes between two different forms: “pulled” and “pushed” waves. Pulled waves occur when the source of the expansion comes from low-density peripheral populations, while pushed waves occur when recruitment to the expanding edge is supplied by high-density populations closer to the species' core. How extreme events shape pushed/pulled wave expansion events, as well as trailing-edge declines/contractions, remains largely unexplored. We examined eco-evolutionary responses of a marine invertebrate (the owl limpet, Lottia gigantea (urn:lsid:marinespecies.org:taxname:456593)) that increased in abundance during the 2014–2016 marine heatwaves (MHWs) near the poleward edge of its geographic range in the northeastern Pacific. We sampled Lottia gigantea from 19 populations across >11 degrees of latitude to characterize genomic variation, gene flow, and demographic histories across the species' range. This dataset includes sampling data for those individuals, including location, date, size, and sequencing summary metrics. Whole genomes were sequenced and raw genomic data can be found on NCBI (PRJNA1075458). Here we include summary statistics on whole genome data.1d:Tb91,NSF abstract: Anthropogenic climate change is shifting the distributions of species across the globe. Such contemporary shifts in species’ ranges may have cascading effects on entire ecosystems. This project disentangles the mechanisms underlying climate-driven species range shifts in marine systems using the intertidal owl limpet as a case study. During the recent marine heatwaves off the Pacific coast of North America, populations at the northern range limit in northern California have expanded, with ongoing reproduction even after termination of the heatwave events. This is therefore an ideal system to explore the dynamics of natural selection that occur as species occupy new regions. Broadly, this project deepens understanding of how range shifts occur in marine systems and furthers the ability to predict future species distributions in response to climate change. The project provides research experiences for high school and undergraduate students from historically underrepresented groups by engaging with existing, demonstrably-effective programs. The investigators host leadership and skill-building workshops for senior female graduate students and engage the public in partnership with the California Academy of Sciences, Bodega Marine Lab, and San Francisco Exploratorium. Finally, the project provides training for a postdoctoral scholar and two graduate students. Although phenomenological studies suggest that climate-associated range shifts are common in marine systems, to date, mechanistic studies of the climate-organism interactions that alter geographic distributions have largely focused on terrestrial systems. However, dispersal dynamics greatly differ in many marine systems, as currents may frequently transport planktonic larvae into new environmental regimes. This project integrates detailed demographic observations of the recent range expansion of the intertidal owl limpet, Lottia gigantea, with ecological, phenotypic, and genomic measurements of divergence across its range. Specifically, the work 1) documents phenotypic divergence in larval and juvenile traits across the zone of range expansion, 2) uses whole genome sequencing to estimate gene flow across the entire range, 3) identifies genomic patterns of selection across the zone of range expansion and through time, and 4) identifies drivers of variation in performance over latitudinal and microgeographic scales. The ability to monitor this range shift in real time, along with the suitability of this system for tracking individuals across multiple years, allows the investigators to examine the impact of selection in novel range-edge conditions at the phenotypic and genomic levels, and scale from individuals to species-level responses to ongoing environmental change. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.6:["$","$L19",null,{"dataset":{"_id":"958640","description":"","problem":"","acquisition":"$1a","processing":"

The data included here are sample data taken directly in the field and summary data for whole genome data, before any processing or analysis.

\n","bcodmoProcessing":"$1b","title":"Summary data for whole genome sequencing on Lottia samples collected from Northern California to Baja from Nov 2020 to Jan 2022","nickname":"Sample data for Lottia genomic samples","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2026-03-17T04:00:00.000Z","abstract":"$1c","citation":"Nielsen, E., Walkes, S., Sones, J., Fenberg, P., Paz-García, D. A., Cameron, B., Grosberg, R. K., Sanford, E., Bay, R. (2026) Summary data for whole genome sequencing on Lottia samples collected from Northern California to Baja from Nov 2020 to Jan 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-03-17 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.958640.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.958640.1","versionDate":"2026-03-17","versionId":"1","year":"2026","title":"Summary data for whole genome sequencing on Lottia samples collected from Northern California to Baja from Nov 2020 to Jan 2022","authors":"Nielsen, E., Walkes, S., Sones, J., Fenberg, P., Paz-García, D. A., Cameron, B., Grosberg, R. K., Sanford, E., Bay, R.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.958640.1","release_date":null,"field_dataset_location":"Across the range of Lottia gigantea (Northern California, USA to Baja California, Mexico)","temporal_extent":{"start":"2020-11-12T05:00:00.000Z","end":"2022-01-13T05:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1605157200","label":"2020-11-12"},"end":{"value":"1642050000","label":"2022-01-13"}},"spatial_extent":{"shape":"polygon","center":{"latitude":32.859597774406,"longitude":-118.79560532607},"wkt":"POLYGON ((-123.34527765215 27.128191, -114.245933 27.128191, -114.245933 38.591004548812, -123.34527765215 38.591004548812, -123.34527765215 27.128191))","north":38.591004548812,"east":-114.245933,"south":27.128191,"west":-123.34527765215},"dataset_type":["Other Field Results"],"keywords":["biota","oceans"],"data_files":[{"id":"995129","title":"958640_v1_lottia_genome.csv","url":"https://datadocs.bco-dmo.org/dataset/958640/file/A85934NcN2Nr44/958640_v1_lottia_genome.csv","showTableUrl":"https://www.bco-dmo.org/dataset/958640/data/view/995129","description":"Primary data file for dataset ID 958640, version 1","filename":"958640_v1_lottia_genome.csv","bytesize":167292,"checksum":{"value":"64f8edc9c83061133a1195e89d07ef07","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"777106","name":"Rachael Bay"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"521151","name":"Richard K. Grosberg"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"51064","name":"Eric Sanford"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"958663","name":"Brenda Cameron"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"958660","name":"Philip Fenberg"},"performedAtOrganization":{"_id":"347","name":"University of Southampton"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"958652","name":"Erica Nielsen"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"995127","name":"David A. Paz-García"},"performedAtOrganization":{"_id":"472191","name":"Center for Biological Research of the Northwest, SC"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"958658","name":"Jacqueline Sones"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"958655","name":"Samuel Walkes"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"924467","name":"Audrey Mickle"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[],"funding":[{"_id":"867542","name":"OCE-2023297","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=2023297"}],"instruments":[{"_id":"995076","name":"DNBSEQ-T7 PE150 platform","description":"Whole genome samples were sequenced at BGI Genomics on a DNBSEQ-T7.\nThe purified samples were run on a High Sensitivity DNA Bioanalyzer chip and then sent to BGI Genomics for whole-genome sequencing on the DNBSEQ-T7 PE150 platform on four lanes of sequencing.","type_id":"649","type_name":"Automated DNA Sequencer","type_desc":"A DNA sequencer is an instrument that determines the order of deoxynucleotides in deoxyribonucleic acid sequences.","type_acronym":"Automated Sequencer"},{"_id":"995077","name":"High Sensitivity DNA Bioanalyzer chip","description":"The purified samples were run on a High Sensitivity DNA Bioanalyzer chip and then sent to BGI Genomics for whole-genome sequencing on the DNBSEQ-T7 PE150 platform on four lanes of sequencing.","type_id":"626182","type_name":"Bioanalyzer","type_desc":"A Bioanalyzer is a laboratory instrument that provides the sizing and quantification of DNA, RNA, and proteins. One example is the Agilent Bioanalyzer 2100.","type_acronym":"Bioanalyzer"},{"_id":"995079","name":"Qubit","description":"DNA quantity and quality were assessed with Nanodrop, Qubit, and gel electrophoresis.","type_id":"484","type_name":"Fluorometer","type_desc":"A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.","type_acronym":"Fluorometer"},{"_id":"995075","name":"scalpel","description":"Samples were collected with a small scalpel.","type_id":"867997","type_name":"scalpel","type_desc":"A scalpel, or lancet, or bistoury, is a small and extremely sharp bladed instrument used for dissection and surgery.","type_acronym":""},{"_id":"995078","name":"NanoDrop","description":"DNA quantity and quality were assessed with Nanodrop, Qubit, and gel electrophoresis.","type_id":"924758","type_name":"Thermo Scientific NanoDrop spectrophotometer","type_desc":"Thermo Scientific NanoDrop spectrophotometers provide microvolume quantification and purity assessments of DNA, RNA, and protein samples. NanoDrop spectrophotometers work on the principle of ultraviolet-visible spectrum (UV-Vis) absorbance. The range consists of the NanoDrop One/OneC UV-Vis Spectrophotometers, NanoDrop Eight UV-Vis Spectrophotometer and NanoDrop Lite Plus UV Spectrophotometer.","type_acronym":"NanoDrop spectrophotometer"}],"parameters":[{"_id":"995054","name":"Library_Name","format":"","frictionlessType":"string","description":"

Library Name

","units":{"_id":"","name":"unitless"},"type":{"_id":"927354","name":"sequencing description","description":"

Term describing the methodology and description of sequencing (often used for NCBI run descriptions: library selection, strategy, source, ...).

"}},{"_id":"995055","name":"Sample_ID","format":"","frictionlessType":"string","description":"

Sample ID

","units":{"_id":"","name":"unitless"},"type":{"_id":"960","name":"sample","description":"

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

"}},{"_id":"995056","name":"Percent_Dups","format":"","frictionlessType":"number","description":"

Percent of reads that are PCR duplicates

","units":{"_id":"","name":"percent"},"type":{"_id":"1073","name":"no_bcodmo_term","description":"

An association with a community-wide standard parameter has not yet been made.

"}},{"_id":"995057","name":"Percent_GC","format":"","frictionlessType":"integer","description":"

GC content (%) for DNA sequences

","units":{"_id":"","name":"percent"},"type":{"_id":"1073","name":"no_bcodmo_term","description":"

An association with a community-wide standard parameter has not yet been made.

"}},{"_id":"995058","name":"Average_read_length","format":"","frictionlessType":"number","description":"

Average realized read length

","units":{"_id":"","name":"base pairs (bp)"},"type":{"_id":"927354","name":"sequencing description","description":"

Term describing the methodology and description of sequencing (often used for NCBI run descriptions: library selection, strategy, source, ...).

"}},{"_id":"995059","name":"M_Seqs","format":"","frictionlessType":"number","description":"

Number of reads (in millions)

","units":{"_id":"","name":"million reads (10^6 reads)"},"type":{"_id":"927354","name":"sequencing description","description":"

Term describing the methodology and description of sequencing (often used for NCBI run descriptions: library selection, strategy, source, ...).

"}},{"_id":"995060","name":"mill","format":"","frictionlessType":"integer","description":"

Constant value (1,000,000) used to scale read counts during processing

","units":{"_id":"","name":"unitless"},"type":{"_id":"1073","name":"no_bcodmo_term","description":"

An association with a community-wide standard parameter has not yet been made.

"}},{"_id":"995061","name":"num_reads","format":"","frictionlessType":"number","description":"

Total number of reads (e.g., M_Seqs × 1,000,000).

","units":{"_id":"","name":"unitless"},"type":{"_id":"927354","name":"sequencing description","description":"

Term describing the methodology and description of sequencing (often used for NCBI run descriptions: library selection, strategy, source, ...).

"}},{"_id":"995062","name":"sequencer_read_length","format":"","frictionlessType":"integer","description":"

Read length of flow cell (150 bp)

","units":{"_id":"","name":"base pairs (bp)"},"type":{"_id":"927354","name":"sequencing description","description":"

Term describing the methodology and description of sequencing (often used for NCBI run descriptions: library selection, strategy, source, ...).

"}},{"_id":"995063","name":"read_X_read_length","format":"","frictionlessType":"number","description":"

Number of base pairs sequenced (num_reads × read_length)

","units":{"_id":"","name":"base pairs (bp)"},"type":{"_id":"927354","name":"sequencing description","description":"

Term describing the methodology and description of sequencing (often used for NCBI run descriptions: library selection, strategy, source, ...).

"}},{"_id":"995064","name":"genome_size","format":"","frictionlessType":"number","description":"

Total length of L. gigantea genome measured in base pairs (bp)

","units":{"_id":"","name":"base pairs (bp)"},"type":{"_id":"927354","name":"sequencing description","description":"

Term describing the methodology and description of sequencing (often used for NCBI run descriptions: library selection, strategy, source, ...).

"}},{"_id":"995065","name":"Cov","format":"","frictionlessType":"number","description":"

Estimated mean sequencing depth (× coverage) across the genome for the sample/library (total bases / genome size)

","units":{"_id":"","name":"unitless"},"type":{"_id":"927354","name":"sequencing description","description":"

Term describing the methodology and description of sequencing (often used for NCBI run descriptions: library selection, strategy, source, ...).

"}},{"_id":"995066","name":"site","format":"","frictionlessType":"string","description":"

Site name of sampling

","units":{"_id":"","name":"unitless"},"type":{"_id":"1124","name":"site","description":"

Sampling site identification.

"}},{"_id":"995067","name":"date","format":"%Y-%m-%d","frictionlessType":"date","description":"

Date of sampling

","units":{"_id":"","name":"unitless"},"type":{"_id":"1070","name":"date","description":"

date; generally reported in GMT as YYYYMMDD (year; month; day); also as MMDD (month; day); EqPac dates are local Hawaii time. ISO_Date format is YYYY-MM-DD (http://www.iso.org/iso/home/standards/iso8601.htm)

"}},{"_id":"995068","name":"latitude","format":"","frictionlessType":"number","description":"

Latitude of sampling, South is negative

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"730","name":"latitude","description":"

latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"995070","name":"longitude","format":"","frictionlessType":"number","description":"

Longitude of sampling, East is positive

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"995072","name":"size","format":"","frictionlessType":"number","description":"

Shell length/size (mm) measured

","units":{"_id":"","name":"mm"},"type":{"_id":"1097","name":"length","description":"

Length is a one-dimensional extent equal to the distance between two points.

"}},{"_id":"995073","name":"size_group","format":"","frictionlessType":"string","description":"

Binned sizes used to infer settlement time relative to the 2014–2016 marine heatwaves (e.g., small 10–25 mm, medium 30–40 mm, large >40 mm)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}}],"related_publications":[{"id":"958669","citation":"Kido, J., & Murray, S. (2003). Variation in owl limpet Lottia gigantea population structures, growth rates, and gonadal production on southern California rocky shores. Marine Ecology Progress Series, 257, 111–124. https://doi.org/10.3354/meps257111","relation_type":["Methods"],"relation_desc":""},{"id":"958668","citation":"Nielsen, E. S., Walkes, S., Sones, J. L., Fenberg, P. B., Paz‐García, D. A., Cameron, B. B., Grosberg, R. K., Sanford, E., & Bay, R. A. (2024). Pushed waves, trailing edges, and extreme events: Eco‐evolutionary dynamics of a geographic range shift in the owl limpet, Lottia gigantea. Global Change Biology, 30(7). Portico. https://doi.org/10.1111/gcb.17414\r\n","relation_type":["Results"],"relation_desc":""},{"id":"958670","citation":"Rowan, B. A., Heavens, D., Feuerborn, T. R., Tock, A. J., Henderson, I. R., & Weigel, D. (2019). An Ultra High-Density Arabidopsis thaliana Crossover Map That Refines the Influences of Structural Variation and Epigenetic Features. Genetics, 213(3), 771–787. https://doi.org/10.1534/genetics.119.302406\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"994267","citation":"University of California Davis. Lottia gigantea Raw sequence reads. 2024/02. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1075458. NCBI:BioProject: PRJNA1075458.","relation_type":["References"],"relation_desc":""}],"related_datasets":[],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/958640/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/958640/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/958640/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/958640/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"867543","name":"Evolutionary and ecological dynamics of a contemporary climate-driven range expansion","acronym":"LottiaRangeExp","description":"$1d"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.958640.1","url":"https://doi.org/10.26008/1912/bco-dmo.958640.1","date_assigned":"2026-03-18","version_date":"2026-03-17","archiver":"Woods Hole Oceanographic Institution (WHOI BCO-DMO)","archiver_id":"191"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":74},"downloads":{"count":137}}}}]