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Record W7036688766

Chromosome-scale genome assembly and investigation of the Hypomesus transpacificus genome for sex-specific markers, and association of the lactase persistence haplotype block with disease risk in populations of European descent.

2023· other· en· W7036688766 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2023
Typeother
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchEuropean CommissionRoyal Marsden NHS Foundation TrustNational Cancer Research InstituteCancer Research InstituteCalifornia Dairy Research FoundationU.S. Department of Agriculture
KeywordsEndangered speciesThreatened speciesSmeltPopulationDeltaPopulation geneticsConservation genetics
DOInot available

Abstract

fetched live from OpenAlex

Delta smelt, Hypomesus transpacificus (McAllister, 1963), is a federally threatened and California State endangered fish endemic to the San Francisco Estuary and Sacramento-San Joaquin Delta of North America (SFE). The species is a small, pelagic, mostly annual fish with freshwater resident, migratory, and semi-migratory life histories (Campbell et al., 2022; Hobbs et al., 2019). They have historically been considered an indicator species for water quality in the SFE. Over the last few decades, the species has undergone a population collapse associated with drought and anthropogenic disturbances, and it is now believed stochastic processes may push the species to extinction (Fisch et al., 2011; Moyle, Peter B., Brown, Larry R., Durand, John R., Hobbs, 2016). Meaningful conservation management of the species must encompass gaining a better understanding of the life history, ecology, demography, and physiology of the species so biological components contributing to success in the wild can be preserved. Because genetics, in combination with the environment, influence many aspects of individual and population level phenotypes, building a framework to better understand the species requires the development of genetic resources and monitoring of genetic diversity. Chapter one of this dissertation presents two chromosome-level genome assemblies -- one male and one female -- which are necessary resources for current and ongoing evolutionary and conservation genetics research concerning delta smelt and other declining and vulnerable species in the Osmeridae family, such as longfin smelt. Chapter two investigates three methods for identifying sex marker(s) within the assembled female and male delta smelt reference genomes. While ultimately no diagnostic sex-specific sequences were found in our RAD-sequencing dataset, abundance discrepancies in k-mers from female and male linked-read sequence data were identified. Chapter three is a first author paper I wrote titled "Association of the lactase persistence haplotype block with disease risk in populations of European descent" published in Frontiers in Genetics. This chapter switches organisms and investigates the potential for deleterious mutations to hitchhike in haplotype blocks which were heavily selected for in humans. This paper is a result of the work I completed in the first year and a half of my doctoral studies. Together this work contributes to the fields of evolutionary, comparative and conservation genomics. This work specifically contributes to delta smelt monitoring, management and research, and human disease risk studies. \nIn summary my doctoral work has provided a novel delta smelt genome assembly which is the first chromosome-level and least fragmented publicly available male and female reference genomes within the Osmeridae (smelt) family; an examination of female and male delta smelt sequencing data showing a discrete difference between sexes and establishes a framework for further investigation; and results suggesting that despite the fact that the human lactase persistence haplotype block harbors increased deleterious mutations compared to the rest of the genome, they seem to have little effect on prostate cancer, cardiovascular disease, and bone mineral density disease phenotypes.\n

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.231
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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