{"doi":"10.1093/jhered/esaf082","title":"A genome assembly for mule deer, <i>Odocoileus hemionus</i> , from Southern California","abstract":"Mule deer (Odocoileus hemionus) is an ecologically and economically important cervid species which is widely distributed across western North America. Their broad range and use of diverse habitats, including those linked to historical glacial refugia, have made them an ideal model for studying the effects of climatic fluctuations and environmental heterogeneity on lineage diversification. The effects of this complex evolutionary history on the genome are further complicated by evidence of hybridization with other members of the genus, leading to extreme cases of mito-nuclear discordance. More recently, the influence of specific gene variants on disease dynamics, particularly the progression and morbidity of chronic wasting disease, has become an important topic of genomic research for this taxon. Here, we present and evaluate a new chromosome-level genome assembly of a representative mule deer from across the species' diverse range as part of the California Conservation Genomics Project. We assembled a genome de novo utilizing Pacific Biosciences HiFi long-read and Omni-C chromatin-proximity sequencing data. The assembly consisted of 814 scaffolds and 901 contigs representing a contig N50 of 46.68 Mb and a scaffold N50 of 63.29 Mb. Lastly, our benchmarking universal single-copy ortholog completeness score was 96.3%. This genome represents one of the most complete Odocoileus assemblies and will further our understanding of the comparative genomic architecture of cervids.","journal":"Journal of Heredity","year":2025,"id":547673,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":22.178386323199504,"corpus_rank":9377,"citation_count":1,"citer_count":1,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5473,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":70.8333,"fair_percentile":91.99021705900336,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1142144,"name":"Samantha L. R. Capel","orcid":"0000-0001-5014-5919","position":1,"is_corresponding":false},{"id":92291,"name":"Merly Escalona","orcid":"0000-0003-0213-4777","position":2,"is_corresponding":false},{"id":730421,"name":"Oanh Nguyen","orcid":"0000-0003-1492-2084","position":3,"is_corresponding":false},{"id":24537,"name":"Samuel Sacco","orcid":"0000-0003-1227-8934","position":4,"is_corresponding":false},{"id":108056,"name":"Ruta Sahasrabudhe","orcid":"0000-0002-3285-6845","position":5,"is_corresponding":false},{"id":24610,"name":"William Seligmann","orcid":"0000-0002-5762-3095","position":6,"is_corresponding":false},{"id":860348,"name":"Benjamin N. Sacks","orcid":"0000-0003-0143-6589","position":7,"is_corresponding":false},{"id":937219,"name":"Michael R. Buchalski","orcid":"0000-0002-5917-3577","position":8,"is_corresponding":false},{"id":368329,"name":"Joshua M. Hallas","orcid":"0000-0003-4147-4037","position":0,"is_corresponding":true}],"reference_count":53,"raw_metadata":null,"created_at":"2026-07-19T02:53:53.962932Z","pmid":"41091831","pmcid":"PMC13147177","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":94.4444,"fair_a":68.75,"fair_i":0.0,"fair_r":50.0,"fair_zscore":1.4401,"fair_rationale":{"fair_score":70.83,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":94.44,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","grounded":true,"rationale":"The paper provides a persistent identifier (NCBI BioProject accession PRJNA777200) from a recognised scheme, so it is a PID.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","grounded":true,"rationale":"The data are deposited in NCBI (National Center for Biotechnology Information), a recognised data repository.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200. Raw sequencing data for sample ODHE-2022-008-006_CCGP (NCBI BioSample SAMN41460070) are deposited in the NCBI Short Read Archive (SRA) under SRX26390780 for PacBio HiFi sequencing data, and SRX26390781, SRX26390782 for the Omni-C Illumina sequencing data. GenBank accessions for both primary and alternate assemblies are GCA_042768445.1 and GCA_042767535.1 ; and for genome sequences JBFCZP000000000 and JBFCZQ000000000 . The GenBank genome assembly for the mitochondrial genome is CM091143.1 .","grounded":true,"rationale":"The data-availability statement points to a repository record (BioProject, SRA, GenBank) with accessions, which is Colavizza category 3.","anchors":["Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li","Springer Nature research data policy — Data Availability Statements: standard statement templat","RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes"],"scored":false,"signal":null},{"key":"f_discovery_metadata","label":"Description of the dataset as an object","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"Table 2 Genbank accession numbers and genome assembly statistics.","grounded":true,"rationale":"The paper contains a table (Table 2) that itemises assembly metrics and accessions, serving as an itemised inventory of the dataset.","anchors":["RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential)","FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability'","FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'"],"scored":false,"signal":null},{"key":"f_dataset_cited","label":"Dataset formally cited","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","grounded":true,"rationale":"The dataset identifiers appear only in the body text (Data Availability statement), not as a reference-list entry.","anchors":["FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first-","RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes","FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'"],"scored":true,"signal":null}]},"A":{"name":"Accessible","score":68.75,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","grounded":true,"rationale":"The data are deposited in a public repository (NCBI) with no stated precondition, so the route is unconditional.","anchors":["RDA-A1.1-01D — 'Data is accessible through a free access protocol'","FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data'","NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'"],"scored":true,"signal":null},{"key":"a_access_conditions_stated","label":"Access level labelled","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","grounded":true,"rationale":"The paper does not label the access level with a standard term like 'open access', but it describes the action of accessing via BioProject, so it is partial.","anchors":["FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data'","RDA-A1-01M — metadata contains information to enable the user to get access to the data","COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl"],"scored":false,"signal":null},{"key":"a_controlled_access_for_sensitive","label":"Gatekeeper for sensitive data","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"The data are not human or sensitive, and no gatekeeper is named, so the verdict is no.","anchors":["NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee","RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and ","NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse"],"scored":false,"signal":null},{"key":"a_timeline_retention","label":"Availability timing & retention","kind":"llm","weight":0.5,"fraction":0.5,"verdict":"partial","evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","grounded":true,"rationale":"The paper states current availability but does not specify how long the data will persist, so it is a timing-only statement. [majority verdict 'partial' (4/5 passes agreed)]","anchors":["NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines","NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy'","RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'"],"scored":false,"signal":null}]},"I":{"name":"Interoperable","score":0.0,"criteria":[{"key":"i_open_nonproprietary_format","label":"Open file format","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No file format is named for the released data; the paper does not specify FASTA, FASTQ, or any other format.","anchors":["FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co","RDA-R1.3-02D — data is expressed in a machine-understandable community standard","RDA-I1-01D — data uses a knowledge representation expressed in a standardised format"],"scored":true,"signal":null},{"key":"i_community_standard_vocabulary","label":"Community standard / vocabulary","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No community data or metadata standard (e.g., MIAME, ISA-Tab, ontology) is explicitly named for the data.","anchors":["RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential)","RDA-R1.3-01D — 'Data complies with a community standard'","RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'"],"scored":false,"signal":null},{"key":"i_qualified_references","label":"Identifiers for the resources the data depend on","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":"We downloaded four O. hemionus genomes from NCBI GenBank which represent two mule deer [ PRJNA752226 , accessed 14 June 2023 ( Lamb et al. 2021 )]","grounded":false,"rationale":"The paper includes identifiers for other genomes (e.g., PRJNA752226) and a reference mitochondrial genome (NC_020729.1). [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]","anchors":["RDA-I3-01M — '(meta)data include references to other (meta)data'","RDA-I3-03M — 'metadata includes qualified references to other metadata'","FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'"],"scored":false,"signal":null}]},"R":{"name":"Reusable","score":50.0,"criteria":[{"key":"r_reuse_license","label":"Reuse licence","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No reuse license is stated for the data; the article's CC BY-NC license does not apply to the data.","anchors":["RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu","RDA-R1.1-02M — 'Metadata refers to a standard reuse licence'","RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'"],"scored":true,"signal":null},{"key":"r_provenance_methods","label":"Provenance of the data","kind":"llm","weight":1.0,"fraction":1.0,"verdict":"yes","evidence":"We assembled a genome de novo utilizing Pacific Biosciences HiFi long-read and Omni-C chromatin-proximity sequencing data.","grounded":true,"rationale":"The paper names specific instruments and technologies (PacBio, Omni-C, HiFiasm, etc.) used to produce the data. [majority verdict 'yes' (4/5 passes agreed)]","anchors":["RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa","FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati","W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance"],"scored":false,"signal":null},{"key":"r_documentation_codebook","label":"Documentation / codebook","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No documentation object such as a README or data dictionary is mentioned as accompanying the data; the paper's own tables are not shipped with the data. [majority verdict 'no' (3/5 passes agreed)]","anchors":["RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu","FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'","NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t"],"scored":false,"signal":null},{"key":"r_versioning","label":"Snapshot identified","kind":"llm","weight":0.5,"fraction":1.0,"verdict":"yes","evidence":"GenBank accessions for both primary and alternate assemblies are GCA_042768445.1 and GCA_042767535.1","grounded":true,"rationale":"The GenBank accessions include version numbers (e.g., .1), and the assembly is named 'mOdoHem1', providing a version token.","anchors":["DataCite Metadata Schema 4.6 — the 'Version' property","RDA-R1.2-01M — provenance information (which version was used is provenance)","NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'"],"scored":true,"signal":null},{"key":"x_code_availability","label":"Analysis code available","kind":"llm","weight":1.0,"fraction":1.0,"verdict":"yes","evidence":"Assembly scripts and other data for the analyses presented can be found at the following GitHub repository: www.github.com/ccgproject/ccgp_assembly","grounded":true,"rationale":"A machine-resolvable code-forge URL is given for the study's own code.","anchors":["NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code'","FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear","FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)"],"scored":true,"signal":null},{"key":"x_funding_attribution","label":"Funder and award number","kind":"llm","weight":0.5,"fraction":1.0,"verdict":"yes","evidence":"This work was supported by the California Conservation Genomics Project, with funding provided to the University of California by the State of California, State Budget Act of 2019 [UC Award ID RSI-19-690224].","grounded":true,"rationale":"The paper includes a specific award number (UC Award ID RSI-19-690224) and another grant number (F24AF01031).","anchors":["DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award","Crossref Funder Registry — canonical funder identifiers for funding metadata","RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco"],"scored":true,"signal":null}]}},"actions":[{"key":"r_reuse_license","dimension":"R","label":"Reuse licence","action":"Attach a standard, machine-readable open licence to the deposit — CC0 or CC BY, which is what Horizon Europe and most funders expect — and print the licence identifier in the paper. 'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No reuse license is stated for the data; the article's CC BY-NC license does not apply to the data.","gain":16.67,"priority":"essential","scored":true},{"key":"i_open_nonproprietary_format","dimension":"I","label":"Open file format","action":"Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable. Prefer open genomics / sequencing formats such as FASTQ, BAM or VCF.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No file format is named for the released data; the paper does not specify FASTA, FASTQ, or any other format.","gain":8.33,"priority":"important","scored":true},{"key":"f_dataset_cited","dimension":"F","label":"Dataset formally cited","action":"Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the genomics / sequencing repository accession (e.g. from GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA)) in the reference list.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","why":"The dataset identifiers appear only in the body text (Data Availability statement), not as a reference-list entry.","gain":4.17,"priority":"important","scored":true},{"key":"a_access_conditions_stated","dimension":"A","label":"Access level labelled","action":"State the access level in words, using the standard vocabulary: 'These data are open access' / 'These data are controlled access'. A reader — and a harvester — should not have to infer the access level from the presence of a download link.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","why":"The paper does not label the access level with a standard term like 'open access', but it describes the action of accessing via BioProject, so it is partial.","gain":0.0,"priority":"important","scored":false},{"key":"i_community_standard_vocabulary","dimension":"I","label":"Community standard / vocabulary","action":"Adopt and NAME your domain's data standard — the minimum-information checklist, metadata schema, or ontology your community uses (MIAME/MINSEQE, ISA-Tab, BIDS, an OBO ontology, HL7 FHIR/OMOP) — and say which one you followed. A reporting checklist standardises your paper; it does nothing for your data. In genomics / sequencing, describe the data with MIAME, MINSEQE or MIxS.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No community data or metadata standard (e.g., MIAME, ISA-Tab, ontology) is explicitly named for the data.","gain":0.0,"priority":"important","scored":false},{"key":"r_documentation_codebook","dimension":"R","label":"Documentation / codebook","action":"Ship a README and a data dictionary IN the deposit — every file, every variable, its units, its allowed values, its missing-value codes. It is the cheapest single thing that makes a dataset usable by someone who was not in the lab, and a table buried in the article does not travel with the data.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No documentation object such as a README or data dictionary is mentioned as accompanying the data; the paper's own tables are not shipped with the data. [majority verdict 'no' (3/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"a_controlled_access_for_sensitive","dimension":"A","label":"Gatekeeper for sensitive data","action":"Route sensitive data through an institutional gatekeeper — deposit in a controlled- access repository (dbGaP, EGA) with a Data Access Committee and a published DUA — rather than through the corresponding author's inbox. An author-gated dataset dies with the author's email address, and 'on reasonable request' has been shown repeatedly not to yield data. For sensitive/human genomics / sequencing data, use a controlled-access repository such as dbGaP or EGA.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"The data are not human or sensitive, and no gatekeeper is named, so the verdict is no.","gain":0.0,"priority":"useful","scored":false},{"key":"i_qualified_references","dimension":"I","label":"Identifiers for the resources the data depend on","action":"Cite by identifier every resource the data depend on — the source datasets' accessions, the reference build (GRCh38 / GCA_000001405.28), the cohort application number, the code DOI — and register those relations on the dataset record (IsDerivedFrom, IsSupplementTo). A name is not a link: it cannot be resolved, versioned, or followed by a machine.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"We downloaded four O. hemionus genomes from NCBI GenBank which represent two mule deer [ PRJNA752226 , accessed 14 June 2023 ( Lamb et al. 2021 )]","why":"The paper includes identifiers for other genomes (e.g., PRJNA752226) and a reference mitochondrial genome (NC_020729.1). [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]","gain":0.0,"priority":"useful","scored":false},{"key":"a_timeline_retention","dimension":"A","label":"Availability timing & retention","action":"State when the data become available AND how long they will be retained — cite the repository's preservation policy. NIH DMS Element 4 asks for both; most papers give neither.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"Data generated for this study are available under NCBI BioProject PRJNA777200.","why":"The paper states current availability but does not specify how long the data will persist, so it is a timing-only statement. [majority verdict 'partial' (4/5 passes agreed)]","gain":0.0,"priority":"useful","scored":false}],"suggestions":["Attach a standard, machine-readable open licence to the deposit — CC0 or CC BY, which is what Horizon Europe and most funders expect — and print the licence identifier in the paper. 'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable. Prefer open genomics / sequencing formats such as FASTQ, BAM or VCF.","Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the genomics / sequencing repository accession (e.g. from GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA)) in the reference list.","State the access level in words, using the standard vocabulary: 'These data are open access' / 'These data are controlled access'. A reader — and a harvester — should not have to infer the access level from the presence of a download link.","Adopt and NAME your domain's data standard — the minimum-information checklist, metadata schema, or ontology your community uses (MIAME/MINSEQE, ISA-Tab, BIDS, an OBO ontology, HL7 FHIR/OMOP) — and say which one you followed. A reporting checklist standardises your paper; it does nothing for your data. In genomics / sequencing, describe the data with MIAME, MINSEQE or MIxS."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"epmc_xml"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"epmc_xml","fair_has_llm":true,"fair_computed_at":"2026-07-20T13:40:58.529543Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}