Search bioRxiv⌕ Search

bioRxiv · 10.1101/2024.06.20.599934

Deficiency in a special dynein DNAH12 causes male infertility by impairing DNAH1 and DNALI1 recruitment in humans and mice

Abstract

Asthenoteratozoospermia, a prevalent cause of male infertility, lacks a well-defined etiology. DNAH12 is a special dynein featured by the absence of a microtubule-binding domain, however, its functions in spermatogenesis remain largely unknown. Through comprehensive genetic analyses involving whole-exome sequencing and subsequent Sanger sequencing on infertile patients and fertile controls from six distinct families, we unveiled six biallelic mutations in DNAH12 that co-segregate recessively with male infertility in the studied families. Transmission electron microscopy (TEM) revealed pronounced axonemal abnormalities, including inner dynein arms (IDAs) impairment and central pair (CP) loss in sperm flagella of the patients. Mouse models (Dnah12-/- and Dnah12mut/mut) were generated and recapitulated the reproductive defects in the patients. Noteworthy, DNAH12 deficiency did not show effects on cilium organization and function. Mechanistically, DNAH12 was confirmed to interact with two other IDA components DNALI1 and DNAH1, while disruption of DNAH12 leads to failed recruitment of DNALI1 and DNAH1 to IDAs and compromised sperm development. Furthermore, DNAH12 also interacts with radial spoke head proteins RSPH1, RSPH9, and DNAJB13 to regulate CP stability. Moreover, the infertility of Dnah12-/- mice could be overcome by intracytoplasmic sperm injection (ICSI) treatment. Collectively, DNAH12 plays a crucial role in the proper organization of axoneme in sperm flagella, but not cilia, by recruiting DNAH1 and DNALI1 in both humans and mice. These findings expand our comprehension of dynein component assembly in flagella and cilia and provide a valuable marker for genetic counseling and diagnosis of asthenoteratozoospermia in clinical practice.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yang, M., Hussain, H. M. J., Khan, M., Muhammad, Z., Zhou, J., Ma, A., Huang, X., Ye, J., Chen, M., Zhi, A., Liu, T., Khan, R., Asim, A., Shah, W., Zeb, A., Ahmad, N., Zhang, H., Xu, B., Ma, H., Shi, Q., Shi, B.. 2024-06-23. Deficiency in a special dynein DNAH12 causes male infertility by impairing DNAH1 and DNALI1 recruitment in humans and mice. https://doi.org/10.1101/2024.06.20.599934

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Genetic ancestry influences the relative expression of ancestral haplotypes within admixed individuals

Allele-specific expression (ASE) reflects differences between the two haplotypes a person carries, but most ASE studies have been done in European-descent samples. Admixed individuals carry haplotypes from different ancestral backgrounds within the same cell, which allows ancestry effects on regulation to be measured directly. We integrated phased whole-blood RNA-seq with local ancestry inference in 779 participants from the MAGENTA cohort, including non-Hispanic White, African American, Caribbean Hispanic, and Peruvian individuals. Higher West African (YRI) ancestry proportion was associated with more ASE-positive genes per person, and the association remained after adjusting for age, sex, Alzheimer's disease status, APOE genotype, and the number of heterozygous genes. Peruvian ancestry showed no significant association. A gene-level test of imbalance across population groups found 2,053 of 15,008 genes with significant differences, including the major histocompatibility complex in all four groups. A genome-wide scan of 2,213 1 Mb windows compared people carrying two haplotypes of different ancestries with those carrying two of the same ancestry. It identified 52 non-redundant loci that replicated across all four population groups, containing 201, 60, and 110 ancestry-associated genes under the CEU, YRI, and PEL reference baselines. A haplotype-resolved directional analysis showed no genome-wide advantage for either ancestry. It found locus-specific dominance at 11 loci, and only chr8:2-3 Mb (CSMD1) showed the same direction in more than one population group. Genetic ancestry therefore shapes allelic regulation at global, gene, and locus scales.

genetics↗

Assembly-independent measurement of human Yq12 heterochromatin reveals population-scale variation and Yq12-derived RNA in testis

Despite advances in long-read sequencing and telomere-to-telomere assembly, population-scale analysis of large satellite arrays remains challenging. Human Yq12 is a megabase-scale heterochromatic region composed primarily of DYZ1/HSat3A6 and DYZ2/HSat1B repeats, whose near-equal proportions are maintained despite extensive variation in total array length. Here, using complete Y-chromosome assemblies, we developed k-mer-based tools to estimate Yq12 size directly from short- and long-read sequencing data without requiring sample-specific complete assemblies. Across 1,597 males from the 1000 Genomes Project, Yq12 length ranged from ~1 to 52 Mb (mean 26.5 Mb) and varied substantially within and between Y haplogroups. Phylogenetic analyses supported long-term constraint of total Yq12 length near an equilibrium of 26 Mb and strongly coupled evolution of DYZ1 and DYZ2 around near-parity composition. In 303 father-son pairs, fathers had longer estimated Yq12 regions in 70.6% of pairs, while sons more often showed DYZ1:DYZ2 ratios closer to 1:1. Testis Iso-Seq identified transcripts containing DYZ1 and DYZ2 satellite sequences, while single-cell RNA-seq revealed their expression in haploid spermatids. These results establish a scalable framework for studying Yq12 population variation, intergenerational dynamics, and transcription, providing new opportunities to investigate how extreme satellite-array variation relates to Y-chromosome evolution and male germ-cell biology.

genetics↗

Continuous ancestry profiles from genomes and genealogies

Using a single population label to represent an individual's ancestry may offer convenience, but ancestry is multidimensional, continuous, and reflects contributions from multiple ancestral sources. Here, we demonstrate empirically that ancestry profiles outperform categorical ancestry labels in capturing this complexity. Relatedness among 28,332 genotyped individuals was measured using haplotype painting and ordination and was regressed on regional ancestry proportions from the deep genealogies available for one-third of the cohort. When tested on participants in a validation set, predicted profiles placed 78% of documented ancestry in the correct region, against 48% for the training set average. Giving each participant a single regional label placed only 32% of their documented ancestry correctly, and a perfect classifier naming each person's largest documented region would reach only 38%, because most individuals carry ancestry from several regions. Thus, the continuous profile captures substantially more ancestry than any classification, providing support for representing ancestry as a continuum rather than a label.

genetics↗