Investigating the genomic background of calving-related traits in Canadian Jersey cattle.

Traits related to calving have a significant impact on animal welfare and farm profitability in dairy production systems. Identifying genomic regions associated with calving traits could contribute to refining dairy cattle breeding programs and management practices in the dairy industry. Therefore, the primary objectives of this study were to estimate genetic parameters and perform genome-wide association studies (GWAS) and functional enrichment analyses for stillbirth, gestation length, calf size, and calving ease traits in North American Jersey cattle. A total of 40,503 animals with phenotypic records and 5,398 animals genotyped for 45,101 single nucleotide polymorphisms (SNPs) were included in the analyses. Genetic parameters were estimated based on animal models and Bayesian methods. The effects of SNPs were estimated using the Single-step Genomic Best Linear Unbiased Prediction (ssGBLUP) method. The heritability (standard error) estimates ranged from 0.01 (0.01) for stillbirths (SB) in heifers to 0.11 (0.01) for gestation length (GL) in cows. The genetic correlations ranged from -0.58 (0.11) between calving ease (CE) and SB in heifers to 0.44 (0.14) between calving ease and calf size (CZ) in cows. CE showed the highest genetic correlation between heifers and cows, 0.8 (0.22) respectively. The candidate genes identified, including MTHFR, SERPINA5, IGFBP3, and ZRANB1, are involved in key biological processes and metabolic pathways related to the studied traits. Reducing environmental variation and identifying novel indicators of reproduction traits in the Jersey breed are needed given the low heritability estimates for most traits evaluated in this study. In conclusion, this study provides a characterization of the genetic background of calving-related traits in Jersey cattle. The estimates obtained can be used to improve or build selection indexes in Jersey cattle breeding programs in North America.

Small Nucleolar RNAs in Solid Tumors: A Brief Review of the Literature on These Potential Biomarkers.

OBJECTIVE: The objective of this study was to conduct an integrative review, addressing the key findings, biological functions, and clinical significance of these biomolecules in solid tumors. METHODS: This document analyzes the main data on the involvement of snoRNAs in solid tumors. For this, Pubmed and Science direct were used, with keywords. Additionally, a search for the host gene was conducted using the snoDB tool, and its chromosomal location was identified using the Hugo Gene Nomenclature Committee (HGNC). RESULTS: According to research conducted in the literature, the majority of snoRNAs were found to be overexpressed and described as regulators of processes such as invasion, cellular proliferation, apoptosis, and migration. They are associated with clinical prognostic factors such as metastasis and worse survival. CONCLUSION: Therefore, it is essential to expand the investigation of snoRNAs in oncology across different types of tumors. The utilization of these biomolecules may pave the way for innovative clinical applications, such as their use in the early detection of neoplasms in non-invasive samples and as therapeutic targets. Broadening research on snoRNAs across various tumor types is crucial.

Genome-wide identification, characterization, and functional analysis of lncRNAs in Hevea brasiliensis.

Natural rubber (NR) is an essential industrial raw material widely used in our life. Hevea brasiliensis (Reyan7-33-97) is an economic plant producing natural rubber. Long non-coding RNAs (lncRNAs) are emerging as crucial regulators in numerous biological processes while the characterization and analysis of lncRNAs in Hevea brasiliensis are still largely unrevealed. We integrated the transcriptome datasets from multiple tissues to identify rubber lncRNAs. As a result, 12,029 lncRNAs were found and characterized with notably distinctive features such as longer exon, lower expression levels and GC content, and more tissue specificity in comparison with mRNAs. We discovered thousands of tissue-specific lncRNAs in rubber root, latex, bark, leaf, flower, and seed tissues. The functional enrichment result reveals that tissue-specific lncRNAs are potentially referred to particular functions of tissues, while the non-tissue specific is related to the translation and metabolic processes. In the present study, a comprehensive lncRNA dataset was identified and its functional profile in Hevea brasiliensis was explored, which provides an annotation resource and important clues to understand the biological functions of lncRNAs in Hevea brasiliensis.

What We Talk About When We Talk About "Junk DNA".

"Junk DNA" is a popular yet controversial concept that states that organisms carry in their genomes DNA that has no positive impact on their fitness. Nonetheless, biochemical functions have been identified for an increasing fraction of DNA elements traditionally seen as "Junk DNA". These findings have been interpreted as fundamentally undermining the "Junk DNA" concept. Here, we reinforce previous arguments that this interpretation relies on an inadequate concept of biological function that does not consider the selected effect of a given genomic structure, which is central to the "Junk DNA" concept. Next, we suggest that another (though ignored) confounding factor is that the discussion about biological functions includes two different dimensions: a horizontal, ecological dimension that reflects how a given genomic element affects fitness in a specific time, and a vertical, temporal dimension that reflects how a given genomic element persisted along time. We suggest that "Junk DNA" should be used exclusively relative to the horizontal dimension, while for the vertical dimension, we propose a new term, "Spam DNA", that reflects the fact that a given genomic element may persist in the genome even if not selected for on their origin. Importantly, these concepts are complementary. An element can be both "Spam DNA" and "Junk DNA", and "Spam DNA" can also be recruited to perform evolved biological functions, as illustrated in processes of exaptation or constructive neutral evolution.

Roles and Mechanisms of the Long Noncoding RNAs in Cervical Cancer.

Cervical cancer (CC) continues to be one of the leading causes of death for women across the world. Although it has been determined that papillomavirus infection is one of the main causes of the etiology of the disease, genetic and epigenetic factors are also required for its progression. Among the epigenetic factors are included the long noncoding RNAs (lncRNAs), transcripts of more than 200 nucleotides (nt) that generally do not code for proteins and have been associated with diverse functions such as the regulation of transcription, translation, RNA metabolism, as well as stem cell maintenance and differentiation, cell autophagy and apoptosis. Recently, studies have begun to characterize the aberrant regulation of lncRNAs in CC cells and tissues, including Homeobox transcript antisense RNA (HOTAIR), H19, Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), Cervical Carcinoma High-Expressed 1 (CCHE1), Antisense noncoding RNA in the inhibitors of cyclin-dependent kinase 4 (ANRIL), Growth arrest special 5 (GAS5) and Plasmacytoma variant translocation 1 (PVT1). They have been associated with several disease-related processes such as cell growth, cell proliferation, cell survival, metastasis and invasion as well as therapeutic resistance, and are novel potential biomarkers for diagnosis and prognosis in CC. In this review, we summarize the current literature regarding the knowledge we have about the roles and mechanisms of the lncRNAs in cervical neoplasia.

Preliminary evaluation of circulating microRNAs as potential biomarkers in paracoccidioidomycosis.

MicroRNAs (miRNAs) are small RNAs (length, 19-24 nucleotides) that regulate gene expression by either mRNA degradation or translational inhibition of proteins. Circulating miRNAs, which are extremely stable and protected from RNAse-mediated degradation in body fluids, have appeared as candidate biomarkers for numerous diseases. However, little is known about circulating miRNAs in fungal infections. Paracoccidioidomycosis (PCM) is caused by the Paracoccidioides species, and is endemic in Central and South America, with predominance in adult male workers from rural areas. The current study aimed to identify a serum miRNA expression profile that could serve as a novel diagnostic biomarker for PCM. Total RNA was isolated and the levels of circulating miRNAs were compared between patients with PCM and healthy control subjects using reverse transcription-quantitative polymerase chain reaction. Bioinformatic analysis was used to evaluate the potential roles of these miRNAs in PCM. Eight miRNAs were differentially expressed in serum samples from patients with PCM. These miRNAs are associated with apoptosis and immune response. The identified miRNAs facilitate with understanding the regulatory mechanisms involved in the host-parasite interaction of PCM. Furthermore, considering that the diagnosis of PCM presents difficulties, these miRNAs may serve as novel biomarkers for this disease.

Increased rates of protein evolution and asymmetric deceleration after the whole-genome duplication in yeasts.

BACKGROUND: Whole-genome duplication (WGD) events have shaped the genomes of eukaryotic organisms. Relaxed selection after duplication along with inherent functional constraints are thought to determine the fate of the paralogs and, ultimately, the evolution of gene function. Here, we investigated the rate of protein evolution (as measured by dN/dS ratios) before and after the WGD in the hemiascomycete yeasts, and the way in which changes in such rates relate to molecular and biological function. RESULTS: For most groups of orthologous genes (81%) we observed a change in the rates of evolution after genome duplication. Genes with atypically-low dN/dS ratio before the WGD were prone to increase their rates of evolution after duplication. Importantly, the paralogs were often different in their rates of evolution after the WGD (50% cases), however, this was more consistent with an asymmetric deceleration in the protein-evolution rates, rather than an asymmetric increase of the initial rates. Functional-category analysis showed that regulatory proteins such as protein kinases and transcription factors were enriched in genes that increase their rates of evolution after the WGD. While changes in the rate of protein-sequence evolution were associated to protein abundance, content of disordered regions, and contribution to fitness, these features were an attribute of specific functional classes. CONCLUSIONS: Our results indicate that strong purifying selection in ancestral pre-duplication sequences is a strong predictor of increased rates after the duplication in yeasts and that asymmetry in evolution rate is established during the deceleration phase. In addition, changes in the rates at which paralogous sequences evolve before and after WGD are different for specific protein functions; increased rates of protein evolution after duplication occur preferentially in specific protein functions.