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Record W4388529304 · doi:10.1093/jas/skad281.275

294 KISS1 Knockout Boars Have Decreased Concentrations of Gonadotropins Leading to Smaller Testes and Reduced Skatole in Backfat

2023· article· en· W4388529304 on OpenAlexaff
Daniel F Ahern, Julio M. Flórez, Kyra Martins, Abe Huisman, Tad S. Sonstegard, Brett R. White, Clay A Lents

Bibliographic record

VenueJournal of Animal Science · 2023
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsHendrix Genetics (Canada)
Fundersnot available
KeywordsBOARSkatoleAndrostenoneEndocrinologyInternal medicineKisspeptinLuteinizing hormoneBiologyBoar taintTestosterone (patch)RadioimmunoassayHormoneAnimal scienceMedicineAnatomySemen

Abstract

fetched live from OpenAlex

Abstract In swine production, boars are castrated to prevent boar taint from testicular androgens and skatole accumulation in fat. Kisspeptin (KISS1) regulates secretion of gonadotropins and gonadal steroids. We used boars from our line of KISS1-/-pigs (10.3389/fgene.2022.1078991) to understand how loss of KISS1 function affects compounds causing boar taint. Boars were fed ad libitum during development. Body weights and testicular volume (TV) were collected at weaning, 40, 70, 100, 130, 160, and 190 d of age using TV = 4/3*π *a*b2*2 and subtracting scrotal skin thickness measured by a Harpenden skinfold caliper. Average daily gain (ADG) was calculated by subtracting the beginning from ending body weight at each age range and dividing by the number of days. At each age, a blood serum sample was collected by jugular venipuncture to quantify changes in hormones during development. Serum concentrations of luteinizing hormone (LH), follicle-stimulating hormone (FSH) and testosterone were quantified with radioimmunoassay and analyzed as repeated measures with genotype (KISS1+/+; KISS1+/-; KISS1-/-; n = 8 – 20 animals per genotype) and age as the fixed effects. Concentrations of androstenone and skatole in backfat (quantified using ELISA and HPLC, respectively) were log transformed and analyzed with ANOVA. Body weight did not differ among KISS1 genotypes but increased normally with age (P < 0.0001). During development, KISS1+/+ and KISS1+/- boars grew at similar rates. Although the ADG of KISS1-/-boars was similar to other genotypes up to 160 d of age, ADG was reduced at 190 d of age (age x genotype; P < 0.05). Mean concentrations of LH and FSH in KISS1+/+ and KISS1+/- boars were similar throughout development (LH, 1.16 ±0.11 and 1.34 ± 0.17 ng/mL; FSH, 0.88 ± 0.06 and 0.89 ± 0.05 ng/mL, respectively), and were greater than KISS1-/- boars (LH, 0.38 ± 0.23 ng/mL; FSH, 0.56 ± 0.07 ng/mL; P < 0.05). TV of KISS1+/+ and KISS1+/- boars did not differ during development and was greater than KISS1-/- boars (P < 0.05), for which testes could not be palpated after 100 d of age. Testosterone concentrations in KISS1+/+ and KISS1+/- increased 40-fold during development but were below detectable limits in KISS1-/- boars (age x genotype; P = 0.06). Androstenone and skatole in KISS1-/- boars (0.30 ± 1.24 µg/g and 12.6 ± 1.6 ng/g, respectively) at 190 d of age was less (P < 0.0001) than in KISS1+/+ and KISS1+/- boars (androstenone, 4.33 ± 1.16 µg/g; skatole, 69.2 ± 1.2 ng/g), which did not differ from one another. Thus, a single functional allele of KISS1 is sufficient to confer normal secretion of reproductive hormones, testicular growth, and skatole in boars. Moreover, knocking out the KISS1 gene will prevent boar taint, but might slightly reduce growth in later stages of development.

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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.085
GPT teacher head0.377
Teacher spread0.293 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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