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Kusari F, Backova L, Panek D, Benda A, Trachtulec Z. Label-free metabolic fingerprinting of motile mammalian spermatozoa with subcellular resolution. BMC Biol 2025; 23:85. [PMID: 40128804 PMCID: PMC11934609 DOI: 10.1186/s12915-025-02167-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 02/17/2025] [Indexed: 03/26/2025] Open
Abstract
BACKGROUND Sperm metabolic pathways that generate energy for motility are compartmentalized within the flagellum. Dysfunctions in metabolic compartments, namely mitochondrial respiration and glycolysis, can compromise motility and male fertility. Studying these compartments is thus required for fertility treatment. However, it is very challenging to capture images of metabolic compartments in motile spermatozoa because the fast beating of the flagellum introduces motion blur. Therefore, most approaches immobilize spermatozoa prior to imaging. RESULTS Our findings indicate that immobilizing sperm alters their metabolic profile, highlighting the necessity for measuring metabolism in spermatozoa during movement. We achieved this by encapsulating mouse epididymis in a hydrogel followed by two-photon fluorescence lifetime imaging microscopy for imaging motile sperm in situ. The autofluorescence of endogenous metabolites-FAD, NADH, and NADPH-enabled us to visualize sperm metabolic compartments without staining. We trained machine learning for automated image segmentation and generated metabolic fingerprints using object-based phasor analysis. We show that metabolic fingerprints of spermatozoa and the mitochondrial compartment (1) can distinguish individual males by genetic background, age, or fecundity status, (2) correlate with fertility, and (3) change with age likely due to increased oxidative metabolism. CONCLUSIONS Our approach eliminates the need for sperm immobilization and labeling and captures the native state of sperm metabolism. This technique could be adapted for metabolism-based sperm selection for assisted reproduction.
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Affiliation(s)
- Fitore Kusari
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic.
- Present address: Department of Meiosis, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
| | - Lenka Backova
- Imaging Methods Core Facility at BIOCEV, Faculty of Science, Charles University, Vestec, Czech Republic
- Present addresses: Instituto Biofisika CSIC, UPV/EHU, Leioa, Spain
- Department of Computer Science and Artificial Intelligence, University of Basque Country UPV/EHU, San Sebastián, Spain
| | - Dalibor Panek
- Imaging Methods Core Facility at BIOCEV, Faculty of Science, Charles University, Vestec, Czech Republic
| | - Ales Benda
- Imaging Methods Core Facility at BIOCEV, Faculty of Science, Charles University, Vestec, Czech Republic
| | - Zdenek Trachtulec
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic.
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Tian Y, An J, Zhang X, Di J, He J, Yasen A, Ma Y, Sailikehan G, Huang X, Tian K. Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays. Animals (Basel) 2024; 14:2897. [PMID: 39409846 PMCID: PMC11476046 DOI: 10.3390/ani14192897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 10/01/2024] [Accepted: 10/02/2024] [Indexed: 10/20/2024] Open
Abstract
Sheep are a vital species in the global agricultural economy, providing essential resources such as meat, milk, and wool. Merino sheep (Junken type) are a key breed of fine wool sheep in China. However, research on fine wool traits has largely overlooked the role of SNPs and their association with phenotypes. Copy number variations (CNVs) have emerged as one of the most important sources of genetic variation, influencing phenotypic traits by altering gene expression and dosage. To generate a comprehensive CNVR map of the ovine genome, we conducted genome-wide CNV detection using genotyping data from 285 fine wool sheep. This analysis revealed 656 CNVRs, including 628 on autosomes and 28 on the X chromosome, covering a total of 43.9 Mbs of the sheep genome. The proportion of CNVRs varied across chromosomes, from 0.45% on chromosome 26 to 3.72% on chromosome 10. Functional annotation through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses highlighted significantly enriched GO terms, including odorant binding, ATP binding, and sulfuric ester hydrolase activity. The KEGG analysis identified involvement in pathways such as neuroactive ligand-receptor interaction, axon guidance, ECM-receptor interaction, the one-carbon pool by folate, and focal adhesion (p < 0.05). To validate these CNVRs, we performed quantitative real-time PCR experiments to verify copy number predictions made by PennCNV software (v1.0.5). Out of 11 selected CNVRs with predicted gain, loss, or gain-loss statuses, 8 (IDs 68, 156, 201, 284, 307, 352, 411, 601) were successfully confirmed. This study marks a significant step forward in mapping CNVs in the ovine genome and offers a valuable resource for future research on genetic variation in sheep.
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Affiliation(s)
- Yuezhen Tian
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Cashmere and Wool Sheep, Institute of Animal Science, Xinjiang Academy of Animal Science, Urumqi 830011, China
| | - Jing An
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Cashmere and Wool Sheep, Institute of Animal Science, Xinjiang Academy of Animal Science, Urumqi 830011, China
- College of Animal Science and Technology, Northwest Agriculture and Forest University, Yangling, Xianyang 712100, China
| | - Xinning Zhang
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Jiang Di
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Cashmere and Wool Sheep, Institute of Animal Science, Xinjiang Academy of Animal Science, Urumqi 830011, China
| | - Junmin He
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
| | - Ayinuer Yasen
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Cashmere and Wool Sheep, Institute of Animal Science, Xinjiang Academy of Animal Science, Urumqi 830011, China
| | - Yanpin Ma
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Cashmere and Wool Sheep, Institute of Animal Science, Xinjiang Academy of Animal Science, Urumqi 830011, China
| | - Gaohaer Sailikehan
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Xixia Huang
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Kechuan Tian
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
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Mihola O, Landa V, Pratto F, Brick K, Kobets T, Kusari F, Gasic S, Smagulova F, Grey C, Flachs P, Gergelits V, Tresnak K, Silhavy J, Mlejnek P, Camerini-Otero RD, Pravenec M, Petukhova GV, Trachtulec Z. Rat PRDM9 shapes recombination landscapes, duration of meiosis, gametogenesis, and age of fertility. BMC Biol 2021; 19:86. [PMID: 33910563 PMCID: PMC8082845 DOI: 10.1186/s12915-021-01017-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 04/01/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Vertebrate meiotic recombination events are concentrated in regions (hotspots) that display open chromatin marks, such as trimethylation of lysines 4 and 36 of histone 3 (H3K4me3 and H3K36me3). Mouse and human PRDM9 proteins catalyze H3K4me3 and H3K36me3 and determine hotspot positions, whereas other vertebrates lacking PRDM9 recombine in regions with chromatin already opened for another function, such as gene promoters. While these other vertebrate species lacking PRDM9 remain fertile, inactivation of the mouse Prdm9 gene, which shifts the hotspots to the functional regions (including promoters), typically causes gross fertility reduction; and the reasons for these species differences are not clear. RESULTS We introduced Prdm9 deletions into the Rattus norvegicus genome and generated the first rat genome-wide maps of recombination-initiating double-strand break hotspots. Rat strains carrying the same wild-type Prdm9 allele shared 88% hotspots but strains with different Prdm9 alleles only 3%. After Prdm9 deletion, rat hotspots relocated to functional regions, about 40% to positions corresponding to Prdm9-independent mouse hotspots, including promoters. Despite the hotspot relocation and decreased fertility, Prdm9-deficient rats of the SHR/OlaIpcv strain produced healthy offspring. The percentage of normal pachytene spermatocytes in SHR-Prdm9 mutants was almost double than in the PWD male mouse oligospermic sterile mutants. We previously found a correlation between the crossover rate and sperm presence in mouse Prdm9 mutants. The crossover rate of SHR is more similar to sperm-carrying mutant mice, but it did not fully explain the fertility of the SHR mutants. Besides mild meiotic arrests at rat tubular stages IV (mid-pachytene) and XIV (metaphase), we also detected postmeiotic apoptosis of round spermatids. We found delayed meiosis and age-dependent fertility in both sexes of the SHR mutants. CONCLUSIONS We hypothesize that the relative increased fertility of rat versus mouse Prdm9 mutants could be ascribed to extended duration of meiotic prophase I. While rat PRDM9 shapes meiotic recombination landscapes, it is unnecessary for recombination. We suggest that PRDM9 has additional roles in spermatogenesis and speciation-spermatid development and reproductive age-that may help to explain male-specific hybrid sterility.
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Affiliation(s)
- Ondrej Mihola
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Vladimir Landa
- Laboratory of Genetics of Model Diseases, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Florencia Pratto
- National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Kevin Brick
- National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Tatyana Kobets
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Fitore Kusari
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Srdjan Gasic
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Fatima Smagulova
- Department of Biochemistry and Molecular Biology, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA
- Present address: Inserm U1085 IRSET, 35042, Rennes, France
| | - Corinne Grey
- Institut de Génétique Humaine, CNRS UMR 9002, 34396, Montpellier, France
| | - Petr Flachs
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
- Present address: Division BIOCEV, Laboratory of Epigenetics of the Cell Nucleus, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Vaclav Gergelits
- Laboratory of Mouse Molecular Genetics, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Karel Tresnak
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic
| | - Jan Silhavy
- Laboratory of Genetics of Model Diseases, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Petr Mlejnek
- Laboratory of Genetics of Model Diseases, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - R Daniel Camerini-Otero
- National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Michal Pravenec
- Laboratory of Genetics of Model Diseases, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Galina V Petukhova
- Department of Biochemistry and Molecular Biology, Uniformed Services University of Health Sciences, Bethesda, MD, 20814, USA
| | - Zdenek Trachtulec
- Laboratory of Germ Cell Development, Division BIOCEV, Institute of Molecular Genetics of the Czech Academy of Sciences, 14220, Prague, Czech Republic.
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