Genetic Insights into Azoospermia and Severe Oligozoospermia: Discovering Seven SNPs through GWAS and In Silico Analysis.

Azoospermia and severe oligozoospermia represent the most extreme forms of male infertility. Despite their prevalence, the genetic foundations of these conditions are not well understood, with only a limited number of genetic factors identified so far. This study aimed to identify single-nucleotide polymorphisms (SNPs) linked to both azoospermia and severe oligozoospermia. We conducted a genome-wide association study (GWAS) involving 280 Greek males with normal semen parameters and 85 Greek males diagnosed with either azoospermia or severe oligozoospermia. Following rigorous quality control measures, our analysis identified seven SNPs associated with azoospermia/severe oligozoospermia. An in silico functional annotation was subsequently used to further investigate their role. These SNPs, found in regions not previously associated with male reproductive disorders, suggest novel genetic pathways that may contribute to these forms of infertility and pave the way for future studies. Additionally, this study sheds light on the significant role of noncoding RNAs in the pathogenesis of male infertility, with three of the identified SNPs situated in long intergenic non-coding RNAs (lincRNAs). Our findings highlight the intricate genetic landscape of azoospermia and severe oligozoospermia, underlining the necessity for more detailed studies to fully grasp the underlying mechanisms and their potential for informing diagnostic and therapeutic strategies.

Genome-wide in silico analysis of long intergenic non-coding RNAs from rice peduncles at the heading stage.

Long intergenic non-coding RNAs (lincRNAs) belong to the category of long non-coding RNAs (lncRNAs), originated from intergenic regions, which do not code for proteins. LincRNAs perform prominent role in regulation of gene expression during plant development and stress response by directly interacting with DNA, RNA, or proteins, or triggering production of small RNA regulatory molecules. Here, we identified 2973 lincRNAs and investigated their expression dynamics during peduncle elongation in two Indian rice cultivars, Pokkali and Swarna, at the time of heading. Differential expression analysis revealed common and cultivar-specific expression patterns, which we utilized to infer the lincRNA candidates with potential involvement in peduncle elongation and panicle exsertion. Their putative targets were identified using in silico prediction methods followed by pathway mapping and literature-survey based functional analysis. Further, to infer the mechanism of action, we identified the lincRNAs which potentially act as miRNA precursors or target mimics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01059-2.

Evolutionary dynamics of lincRNA transcription in nine citrus species.

Long intergenic non-coding RNAs (lincRNAs) play important roles in various biological processes in plants. However, little information is known about the evolutionary characteristics of lincRNAs among closely related plant species. Here, we present a large-scale comparative study of lincRNA transcription patterns in nine citrus species. By strand-specific RNA-sequencing, we identified 18 075 lincRNAs (14 575 lincRNA loci) from 34 tissue samples. The results indicated that the evolution of lincRNA transcription is more rapid than that of mRNAs. In total, 82.8-97.6% of sweet orange (Citrus sinensis) lincRNA genes were shown to have homologous sequences in other citrus genomes. However, only 15.5-28.8% of these genes had transcribed homologous lincRNAs in these citrus species, presenting a strong contrast to the high conservation of mRNA transcription (81.6-84.7%). Moreover, primitive and modern citrus lincRNAs were preferentially expressed in reproductive and vegetative organs, respectively. Evolutionarily conserved lincRNAs showed higher expression levels and lower tissue specificity than species-specific lincRNAs. Notably, we observed a similar tissue expression pattern of homologous lincRNAs in sweet orange and pummelo (Citrus grandis), suggesting that these lincRNAs may be functionally conserved and selectively maintained. We also identified and validated a lincRNA with the highest expression in fruit that acts as an endogenous target mimic (eTM) of csi-miR166c, and two lincRNAs that act as a precursor and target of csi-miR166c, respectively. These lincRNAs together with csi-miR166c could form an eTM166-miR166c-targeted lincRNA regulatory network that possibly affects citrus fruit development.

LINC01101 and LINC00277 expression levels as novel factors in HPV-induced cervical neoplasia.

Recently long non-coding RNAs were identified as new factors involved in gene expression regulation. To gain insight into expression pattern of these factors related to E7 HPV18 oncogene, this study uses HeLa cell culture transfected with E7-siRNA. Gene expression profile was investigated using microarray analysis. After analysing the microarray results, we identified 15,387 RNA species differentially expressed in E7-siRNA-transfected cells compared with controls (fold change >2). The expression profiles of lncRNA species highlighted 731 lncRNAs and 203 lincRNAs. We selected two lincRNAs (LINC01101 and LINC00277) and we evaluated the expression profile in HPV-induced neoplasia. Both lincRNAs investigated display a significantly reduced pattern of expression in cervical lesions and cancer, associated with clinical parameters. A connection between HPV presence and lincRNAs was noted. hrHPV-positive samples exhibit significantly reduced LINC01101 and LINC00277 expression level (P < 0.05). These results provide new insights into involvement of lncRNA in HPV-induced cervical cancer, enriching our understanding of their potential role in this pathology.