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Grant support

This study was partially financed by project INIA-RTA2015-00090, the Research Group Funds of the Aragon Government (Ref. A14_20R), and FEDER funds. K. Lakhssassi is supported by a doctoral (BES-2017-080154) grant. The authors would like to thank the technical staff of CITA for the animal care during the experiment.

Analysis of institutional authors

Lakhssassi, KenzaAuthorLahoz, BelénAuthorFolch, JoseAuthorAlabart, Jose LuisAuthorCalvo, Jorge HugoCorresponding Author

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June 15, 2024
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Exploring differentially expressed genes in hypothalamic, pars tuberalis and pineal gland transcriptomes in different sexual behavior phenotypes in rams using RNA-Seq

Publicated to:Journal Of Animal Science. 101 skac365- - 2023-01-11 101(), DOI: 10.1093/jas/skac365

Authors: Lakhssassi, Kenza; Sarto, Maria Pilar; Marin, Belen; Lahoz, Belen; Folch, Jose; Alabart, Jose Luis; Serrano, Malena; Calvo, Jorge Hugo

Affiliations

Agrifood Res & Technol Ctr Aragon IA2, Zaragoza 50059, Spain - Author
ARAID, Zaragoza 50018, Spain - Author
Ciencia Animal. Centro de Investigación y Tecnología Agroalimentaria de Aragón - Author
Grupo de investigación INPASS: Investigación en Producción Agroganadera Sostenible y Saludable. Centro de Investigación y Tecnología Agroalimentaria de Aragón - Author
INIA CSIC, Dept Anim Breeding & Genet, Madrid 28040, Spain - Author
INRA Inst, Rabat 6356, Morocco - Author
Univ Zaragoza, Fac Vet Med, Ctr Encephalopathies & Emerging Transmissible Dis, Zaragoza 50018, Spain - Author
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Abstract

Reproductive seasonality is a limiting factor in sheep production. Sexual behavior is a key element in reproductive efficiency, and this function is regulated by the hypothalamus-pituitary-gonadal (HPG) axis. To understand the mechanisms of sexual behavior, transcriptomic sequencing technology was used to identify differentially expressed genes (DEGs) in the hypothalamus (HT), pars tuberalis (PT) and pineal gland (PG) in Rasa Aragonesa rams with different sexual behavior. Bioinformatics analysis of the 16,401 identified genes by RNA-Seq revealed 103 and 12 DEGs in the HT and the PG, respectively, at a false discovery rate (FDR) of 5% with an absolute value of expression >= 1 (log2FC). However, no DEGs were found in the PT. Functional annotation and pathway enrichment analysis showed that DEGs of HT were enriched mainly in neuroactive ligand-receptor interactions and signaling pathways, including notable candidate genes such as MTNR1A, CHRNA2, FSHB, LHB, GNRHR, AVP, PRL, PDYN, CGA, GABRD, and TSHB, which play a crucial role in sexual behavior. The GnRH and cAMP signaling pathways were also highlighted. In addition, gene set enrichment analysis (GSEA) identified potential pathways, dominated mainly by biological process category, that could be responsible for the differences in sexual behavior observed in rams. The intracellular protein transport and pattern specification process were enriched within the PT and the transcription factor binding and protein ubiquitination pathways for the PG. Thus, these pathways together may play an important role in the regulation of the sexual behavior in Rasa Aragonesa rams through the hypothalamic-pituitary-gonadal axis. The validation of 5 DEGs using reverse transcription quantitative polymerase chain reaction (RT-qPCR) showed expression patterns like the found with RNA-Seq. Overall, these results contribute to understanding the genomic basis of sexual behavior in rams. Our study demonstrates that multiple networks and pathways orchestrate sexual behavior in sheep. Lay Summary Male sexual behavior is a key factor in reproduction, especially in seasonal breeders such as sheep. The identification of differentially expressed genes (DEGs) in brain regions involved in male reproduction and sexual behavior between rams with different sexual activity by RNA high-throughput sequencing can provide useful information to the sheep meat industry. This work aimed to determine the possible molecular mechanisms underlying the sexual behavior of Rasa Aragonesa rams by investigating transcriptional changes in the hypothalamus (HT), pars tuberalis (PT) and pineal gland (PG) between active (A) and nonactive (NA) rams. Comparative analysis revealed 103 and 12 DEGs between the A vs. NA comparison in the HT and the PG, respectively, but no DEGs were found in the PT. Gene ontology (GO) enrichment analysis of DEGs in HT samples revealed significant pathways, associated mainly with neuroactive ligand-receptor interactions, and the GnRH and cAMP signaling pathways. Furthermore, gene set enrichment analysis (GSEA) detected many overrepresented pathways related to sexual behavior via an interaction network within the hypothalamic-pituitary-gonadal axis. These data will be helpful for further investigations to look for mutations or functional single nucleotide polymorphisms (SNPs) that may be used for genetic assisted selection to improve sexual behavior in sheep. The control of sexual behavior constitutes a key to improving sheep efficiency. In this study, we reported that multiple gene networks and pathways orchestrate sexual behavior and identified some of the major genes affecting the sexual behavior of rams. The genes detected could be used to search for mutations or functional single nucleotide polymorphisms (SNPs) as potential molecular markers for genetically assisted selection to improve sexual behavior.

Keywords

AgeAnimalsBreedFeedbackGene expression profilingHormoneHypothalamusLMaleMiceN-acetyltransferasePackagePhenotypePineal glandProlactinRamRna-seqSexual behaviorSheepSheep, domesticTestosteroneTranscriptomTranscriptome

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal Of Animal Science due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2023, it was in position 10/80, thus managing to position itself as a Q1 (Primer Cuartil), in the category Agriculture, Dairy & Animal Science.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.7. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.61 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 1.38 (source consulted: Dimensions Aug 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-08-15, the following number of citations:

  • WoS: 5
  • Scopus: 5
  • Europe PMC: 3

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-08-15:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 7.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 7 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.85.
  • The number of mentions on the social network X (formerly Twitter): 4 (Altmetric).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Morocco.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Lakhssassi, Kenza) and Last Author (Calvo Lacosta, Jorge Hugo).

the author responsible for correspondence tasks has been Calvo Lacosta, Jorge Hugo.