98%
921
2 minutes
20
is the causative agent of Chagas disease, a neglected tropical disease, and one of the most important parasitic diseases worldwide. The first genome of was sequenced in 2005, and its complexity made assembly and annotation challenging. Nowadays, new sequencing methods have improved some strains' genome sequence and annotation, revealing this parasite's extensive genetic diversity and complexity. In this review, we examine the genetic diversity, the genomic structure, and the principal multi-gene families involved in the pathogenicity of . The genome sequence is divided into two compartments: the core (conserved) and the disruptive (variable in length and multicopy gene families among strains). The disruptive region has also been described as genome plasticity and plays a key role in the parasite survival and infection process. This region comprises several multi-gene families, including trans-sialidases, mucins, and mucin-associated surface proteins (MASPs). Trans-sialidases are the most prevalent genes in the genome with a key role in the infection process, while mucins and MASPs are also significant glycosylated proteins expressed on the parasite surface, essential for its biological functions, as host-parasite interaction, host cell invasion or protection against the host immune system, in both insect and mammalian stages. Collectively, in this review, some of the most recent advances in the structure and composition of the genome are reviewed.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11768934 | PMC |
http://dx.doi.org/10.3390/pathogens14010061 | DOI Listing |
Genome Biol
September 2025
Fisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611730, China.
Background: Fish are the largest group of vertebrates. Studying the characteristics, functions, and interactions of different fish cells is important for understanding their roles in disease and evolution. However, most single cell RNA-seq studies in fish are restricted to a few specific organs, leaving a comprehensive cell landscape that aims to characterize the heterogeneity and connections among body-wide organs largely unexplored.
View Article and Find Full Text PDFGenome Biol
September 2025
Institute of Translational Medicine, Zhejiang University School of Medicine, Zhejiang, Hangzhou, 310029, China.
Metagenomic analyses of microbial communities have unveiled a substantial level of interspecies and intraspecies genetic diversity by reconstructing metagenome-assembled genomes (MAGs). The MAG database (MAGdb) boasts an impressive collection of 74 representative research papers, spanning clinical, environmental, and animal categories and comprising 13,702 paired-end run accessions of metagenomic sequencing and 99,672 high quality MAGs with manually curated metadata. MAGdb provides a user-friendly interface that users can browse, search, and download MAGs and their corresponding metadata information.
View Article and Find Full Text PDFJ Assist Reprod Genet
September 2025
UFR-SVS, UVSQ, 78180, Montigny Le Bretonneux, France.
Introduction: Complex chromosomal rearrangements (CCRs) are frequently associated with infertility and have been described in the literature. Chromoanagenesis corresponds to a group of CCRs with a high number of chromosome breakpoints. These CCRs involving small structural variations can only be identified by using high-resolution genomic techniques.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
September 2025
Division of Gastroenterology, Department of Medicine, Asahikawa Medical University, Asahikawa, Japan.
Purpose: Next-generation sequencing (NGS) has revolutionized cancer treatment by enabling comprehensive cancer genomic profiling (CGP) to guide genotype-directed therapies. While several prospective trials have demonstrated varying outcomes with CGP in patients with advanced solid tumors, its clinical utility in colorectal cancer (CRC) remains to be evaluated.
Methods: We conducted a prospective observational study of CGP in our hospital between September 2019 and March 2024.
Theor Appl Genet
September 2025
Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Sanitz, 18190, Germany.
Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations.
View Article and Find Full Text PDF