MétaCan
Menu
Back to cohort
Record W4402541722 · doi:10.1093/jas/skae234.504

PSVII-10 Genome-wide discovery and characterization of short interspersed nuclear elements (SINEs) in the bovine genome

2024· article· en· W4402541722 on OpenAlexaff
Naisu Yang, Mengqi Wang, Faith A. Omonijo, Chengyi Song, Antony T. Vincent, Eveline M. Ibeagha‐Awemu

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsAgriculture and Agri-Food CanadaUniversité Laval
Fundersnot available
KeywordsGenomeBovine genomeBiologyComputational biologyGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Short interspersed nuclear elements (SINEs) constitute a class of nonautonomous retrotransposons endowed with the capability to multiply and spread within a genome. SINEs serve as reliable indicators for assessing genetic variability in dairy populations, aiding in precise determination of breed composition. However, SINEs within the bovine genome remain insufficiently characterized, hindering the understanding of their impact on dairy production and health. This study aimed to systematically identify, classify and unveil the characteristics of SINEs within the bovine reference genome (ARS-UCD1.3). Multiple de novo identification tools, including RepeatModeler, SINE_scan, LongRepMarker, and SINE-finder, were employed for SINE identification and characterization. A total of 1.6 million copies of SINEs were identified, constituting approximately 10.8% of the genome. The SINEs were stratified into seven distinct families based on their structural attributes, denoted as BosSINEL, BosSINE1, BosSINE2, BosSINE3, BosSINE4, BosSINE5 and BosSINE6. BosSINE1 represents a novel family, whereas the remaining six families were previously documented in Repbase. Among these families, BosSINE3 emerges as the most prolific, boasting 254,586 complete copies (over 80% of the length of the consensus sequence), followed by BosSINEL (164,538 copies), BosSINE2 (162,207 copies) and BosSINE1 (150,799 copies). Conversely, the remaining families exhibit lower abundance, each harboring no more than 100,000 copies within the genome. Structural comparisons among SINE families elucidate distinctive features. Notably, BosSINEL lacks a tRNA-related region, including boxA and boxB, which is the hallmark element of the classic SINE structure according to SINEBase. Conversely, all other families exhibit tRNA-related regions. BosSINE1, the lengthiest at 328 bp (excluding Poly-A), possesses two tRNA-related regions, distinguishing it from other families. BosSINEL, BosSINE1, BosSINE2 and BosSINE3 exhibit long interspersed nuclear elements (LINE)-related regions, suggesting their retrotransposition by engaging with the enzymatic machinery encoded by LINEs. In contrast, BosSINE6, the shortest at 109 bp, features a GC-rich region resulting in a high GC content of 67%. Additionally, BosSINE4 contains an AT-rich region. Evolutionary analysis disclosed that BosSINEL is the youngest SINE family in the bovine genome, potentially still harboring active roles and contributing to the genetic diversity related to different dairy production and health performance. Conversely, BosSINE1 to BosSINE6 are comparatively aged in terms of evolution, likely fixed in the bovine genome with diminished or lost activities. In summary, this investigation unveils the comprehensive profile of SINE in the bovine genome, delineating both structural and evolutionary characteristics. Particularly noteworthy is the emergence of BosSINEL as the youngest SINE family, suggesting active roles in the bovine genome. Since lineage-specific TEs (such as Bov-A2 elements) have been reported to regulate interferon-inducible gene expression in bovine, our data warrants further investigations to reveal the potential of SINEs as markers for improving dairy production and health.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.160

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Animal ScienceSame topicAnimal Genetics and ReproductionFrench-language works237,207