Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (837 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
The quality of semen, an indicator of male fertility, can be determined by semen volume, pH, sperm concentration (sperm count), total sperm number, sperm viability, sperm vigor (sperm motility), normal sperm morphology, acrosome integrity, and the concentration of white blood cells.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Semen Analyses; Semen Quality Analysis; Analyses, Semen Quality; Analysis, Semen Quality; Quality Analyses, Semen; Semen Quality Analyses; Semen Quality; Qualities, Semen.
Where it fits in the MeSH classification
- Broader topics
- Clinical Laboratory Techniques
- Narrower topics
- Sperm Count; Sperm Motility
Related concepts
- Semen
- Sperm Count
- Sperm Motility
- Acrosome
- White Blood Cells
Research landscape
PubMed indexes 33,060 records tagged with the MeSH heading “Semen Analysis” (counts retrieved 2026-11-04). 7,834 of them (23.7%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 9,712 records.
Reviews account for 2,306 records (7.0%) and meta-analyses for 268. Randomized controlled trials number 593 (1.8%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.
Show the data
| Period | Records |
|---|---|
| through 1999 | 9,458 |
| 2000-2009 | 6,056 |
| 2010-2019 | 9,712 |
| 2020 onward | 7,834 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 2,306 | 7.0% |
| Meta-analyses | 268 | 0.8% |
| Randomized controlled trials | 593 | 1.8% |
Method: PubMed query "Semen Analysis"[MeSH Terms] with publication-type and date filters, retrieved 2026-11-04.
Reading the evidence in diagnostics and medical technology
A test or device is judged by how well it detects a condition, how often it gives false alarms or misses cases, and whether using it improves outcomes for people. Accuracy depends on who is tested and how common the condition is, so a test that performs well in a specialist hospital can perform differently in the community. Check the reference standard, the population studied, the sensitivity and specificity and whether results were confirmed in a separate group.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Determinant genetic markers of semen quality in livestock | 2024 | Review article Design not recorded in structured metadata | 22 | cc by PMID 39429738 · DOI · PMC11489916 |
| Towards a kingdom of reproductive life - the core sperm proteome | 2025 | Research article Design not recorded in structured metadata | 17 | cc by PMID 40298292 · DOI · PMC12070448 |
| Quantitative Phosphoproteomic Profiling of Mouse Sperm Maturation in Epididymis Revealed Kinases Important for Sperm Motility | 2024 | Research article Design not recorded in structured metadata | 14 | cc by PMID 38977202 · DOI · PMC11338950 |
| Meta-GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility | 2026 | Research article Design not recorded in structured metadata | 3 | cc by PMID 41504393 · DOI · PMC13042736 |
Determinant genetic markers of semen quality in livestock [1]
Abstract reading summary — source excerpts
- Opening excerpt
- The reproductive efficiency of livestock is crucial for agricultural productivity and economic sustainability.
- Closing excerpt
- The review underscores the importance of integrating genetic insights into breeding strategies to optimize reproductive efficiency and ensure the sustainable development of livestock industries.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (171 words)
The reproductive efficiency of livestock is crucial for agricultural productivity and economic sustainability. One critical factor in successful fertilization and the viability of offspring is the quality of semen. Poor semen quality, especially in frozen-thawed semen used in artificial insemination (AI) have been shown to influence conception outcomes, resulting a negative impact on livestock production. Recent advancements in genetic research have identified specific markers linked to semen quality traits in various livestock species, such as cattle, sheep, goats, pigs, buffalo, and equines. These genetic markers are essential in screening males for breeding suitability, which in turn enhances selective breeding programs. Understanding these markers is crucial for improving reproductive performance and increasing productivity in livestock populations. This review offers a comprehensive overview of the genetic markers associated with semen quality in key livestock. It explores the underlying genetic mechanisms and their practical implications in animal breeding and management. The review underscores the importance of integrating genetic insights into breeding strategies to optimize reproductive efficiency and ensure the sustainable development of livestock industries.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39429738 · DOI · PMC11489916
Towards a kingdom of reproductive life - the core sperm proteome [2]
Abstract reading summary — source excerpts
- Opening excerpt
- In briefSperm function is essential for fertility across humans, agriculture and wildlife, yet comparative studies remain limited.
- Closing excerpt
- io/ShinySpermKingdom/).
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (290 words)
In briefSperm function is essential for fertility across humans, agriculture and wildlife, yet comparative studies remain limited. This study integrates multi-species proteomic data to identify a core sperm proteome, uncovering conserved molecular pathways and validating novel sperm proteins critical for motility and fertilization.AbstractReproductive biology is often considered in three siloed research areas; humans, agriculture and wildlife. Yet, each demand solutions for treatment of subfertility, fertility biomarkers, development of assisted reproductive technologies and effective contraception. To efficiently develop solutions applicable to all species, we must improve our understanding of the common biology underpinning reproductive processes. Accordingly, we integrate proteomic data from 29 publicly available datasets (>2 TB of data) to characterize mature sperm proteomes spanning 12 vertebrate species, identifying 13,853 proteins. Although human and mouse have relatively well-annotated sperm proteomes, many non-model species rely heavily on predicted or homology-inferred identifications. Despite variation in proteome size, composition and reproductive strategies, comparative analyses revealed that vertebrates share a fundamental molecular framework essential for sperm function. A core set of 45 species-level and 135 order-level conserved proteins mapped to critical processes, including energy generation, acrosome function and novel signalling pathways (BAG2 and FAT10). Knockout mouse models further validate the significance of these conserved proteins, demonstrating that their disruption impairs sperm motility and fertilization capacity. Moreover, we discovered loss-of-function variants of two additional core sperm proteins in clinical samples, linking them to severe sperm defects. Intriguingly, in-silico analysis reveals function-driven, context-dependent diversity surpassing evolutionary patterns. Collectively, these results highlight the value of integrating publicly available datasets and underscore the need for improved genome/proteome annotation in non-model species in mammals. This work provides a foundation for developing cross-species strategies to enhance fertility treatments, assisted reproductive technologies and conservation efforts. All data are available via ShinySpermKingdom (https://reproproteomics.shinyapps.io/ShinySpermKingdom/).
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40298292 · DOI · PMC12070448
Quantitative Phosphoproteomic Profiling of Mouse Sperm Maturation in Epididymis Revealed Kinases Important for Sperm Motility [3]
Abstract reading summary — source excerpts
- Opening excerpt
- Transcriptionally and translationally silent sperm undergo functional maturation during epididymis traverse, which provides sperm ability to move and is crucial for successful fertilization.
- Closing excerpt
- This study systemically characterized the intricate phosphorylation regulation during sperm maturation in the mouse epididymis, which can be a basis to elucidate sperm motility acquisition, and to offer potential targets for male contraception and the treatment of male infertility.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (172 words)
Transcriptionally and translationally silent sperm undergo functional maturation during epididymis traverse, which provides sperm ability to move and is crucial for successful fertilization. However, the molecular mechanisms governing sperm maturation remain poorly understood, especially at the protein post-translational modification level. In this study, we conducted a comprehensive quantitative phosphoproteomic analysis of mouse epididymal sperm from different regions (caput, corpus, and cauda) to unveil the dynamics of protein phosphorylation during sperm maturation. We identified 6447 phosphorylation sites in 1407 phosphoproteins, and 345 phosphoproteins were differentially phosphorylated between caput and cauda sperm. Gene ontology and KEGG pathway analyses showed enrichment of differentially phosphorylated proteins in energy metabolism, sperm motility, and fertilization. Kinase substrate network analysis followed by inhibition assay and quantitative phosphoproteomics analysis showed that TSSK2 kinase is important for sperm motility and progressive motility. This study systemically characterized the intricate phosphorylation regulation during sperm maturation in the mouse epididymis, which can be a basis to elucidate sperm motility acquisition, and to offer potential targets for male contraception and the treatment of male infertility.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38977202 · DOI · PMC11338950
Meta-GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility [4]
Abstract reading summary — source excerpts
- Opening excerpt
- Semen quality serves as a vital indicator of male fertility, yet its underlying genetic and regulatory mechanisms remain poorly understood.
- Closing excerpt
- This study provides novel insights into semen quality traits in mammals, which will provide candidate genes for pig selective breeding and potential targets for human male infertility research.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (204 words)
Semen quality serves as a vital indicator of male fertility, yet its underlying genetic and regulatory mechanisms remain poorly understood. Here, 1.15 million records of six semen quality traits from 14 210 boars in four distinct breeds were collected. These traits have low to moderate heritability (0.12-0.26), and are genetically correlated with growth traits like average daily gain. Genome-wide association study (GWAS) and multi-breed meta-analysis detected 234 loci associated with semen quality. Systematic integration of the Pig Genotype-Tissue Expression resource with these GWAS loci allowed the prioritization of 93 causal variants targeting 134 genes. For instance, the expression quantitative trait loci (eQTL) of NAXE in multiple tissues were colocalized with a GWAS loci of the number of sperms, while eQTL of LEFTY2 in the testis was exclusively colocalized with in a GWAS loci of semen volume. Through examining GWAS of semen quality traits in cattle and human complex traits, the ortholog genes (e.g., AURKAIP1 and ADRA2A) significant in pigs also regulated bovine semen quality, and were significantly enriched for heritability of human birth weight and height. This study provides novel insights into semen quality traits in mammals, which will provide candidate genes for pig selective breeding and potential targets for human male infertility research.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41504393 · DOI · PMC13042736
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Temporal trends in sperm count: a systematic review and meta-regression analysis [5]
- Research article Temporal trends in sperm count: a systematic review and meta-regression analysis of samples collected globally in the 20th and 21st centuries [6]
- Research article The role of mitochondria in energy production for human sperm motility [7]
- Research article Dietary patterns, foods and nutrients in male fertility parameters and fecundability: a systematic review of observational studies [8]
- Research article Consistent age-dependent declines in human semen quality: a systematic review and meta-analysis [9]
- Research article Formation and function of sperm tail structures in association with sperm motility defects [10]
References
- Khan MZ, Chen W, Naz S, Liu X, Liang H, Chen Y, et al.. Determinant genetic markers of semen quality in livestock. . 2024. PMID 39429738 · DOI · PMC11489916
- Pini T, Nixon B, Karr TL, Teperino R, Sanz-Moreno A, da Silva-Buttkus P, et al.. Towards a kingdom of reproductive life - the core sperm proteome. . 2025. PMID 40298292 · DOI · PMC12070448
- Zhang X, Tu H, Zhou X, Wang B, Guo Y, Situ C, et al.. Quantitative Phosphoproteomic Profiling of Mouse Sperm Maturation in Epididymis Revealed Kinases Important for Sperm Motility. . 2024. PMID 38977202 · DOI · PMC11338950
- Lin Q, Cai X, Zhong Z, Li T, Chen X, Ayalew W, et al.. Meta-GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility. . 2026. PMID 41504393 · DOI · PMC13042736
- Levine H, Jørgensen N, Martino-Andrade A, Mendiola J, Weksler-Derri D, Mindlis I, et al.. Temporal trends in sperm count: a systematic review and meta-regression analysis. Hum Reprod Update. 2017. PMID 28981654 · DOI · PMC6455044
- Levine H, Jørgensen N, Martino-Andrade A, Mendiola J, Weksler-Derri D, Jolles M, et al.. Temporal trends in sperm count: a systematic review and meta-regression analysis of samples collected globally in the 20th and 21st centuries. Hum Reprod Update. 2023. PMID 36377604 · DOI
- Piomboni P, Focarelli R, Stendardi A, Ferramosca A, Zara V. The role of mitochondria in energy production for human sperm motility. Int J Androl. 2012. PMID 21950496 · DOI
- Salas-Huetos A, Bulló M, Salas-Salvadó J. Dietary patterns, foods and nutrients in male fertility parameters and fecundability: a systematic review of observational studies. Hum Reprod Update. 2017. PMID 28333357 · DOI
- Johnson SL, Dunleavy J, Gemmell NJ, Nakagawa S. Consistent age-dependent declines in human semen quality: a systematic review and meta-analysis. Ageing Res Rev. 2015. PMID 25462195 · DOI
- Lehti MS, Sironen A. Formation and function of sperm tail structures in association with sperm motility defects. Biol Reprod. 2017. PMID 29024992 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-11-04.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.