AI Article Synopsis

  • The Angiostrongylus cantonensis lineage includes three closely related species: A. cantonensis, A. malaysiensis, and A. mackerrasae, which can be identified using genetic markers for species discrimination.
  • This study tested the effectiveness of mitochondrial 12S and 16S ribosomal RNA genes for distinguishing between these species, finding that both genes demonstrated sufficient genetic variation.
  • Results showed that the 16S rRNA gene offered even higher levels of variation and can serve as a robust genetic marker alongside commonly used mitochondrial protein-coding genes in Angiostrongylus spp. research.

Article Abstract

The Angiostrongylus cantonensis lineage (Nematoda: Metastrongyloidea) consists of the closely related species A. cantonensis, Angiostrongylus malaysiensis, and Angiostrongylus mackerrasae. Various genetic markers have been used for species discrimination in molecular phylogenetic studies of this lineage. However, despite showing potential in other organisms, mitochondrial 12S and 16S ribosomal RNA (rRNA) genes have not been used for Angiostrongylus species discrimination. Therefore, this study assessed these genes' suitability for inter- and intraspecies discrimination in the A. cantonensis lineage. The ultimate aim was to provide a novel genetic marker to support existing phylogenies. Sixty adult Angiostrongylus spp. worms from four geographic locations in Thailand were identified morphologically before molecular identification with 12S and 16S rRNA genes. Neighbor-joining and maximum likelihood algorithms were used for phylogenetic analyzes, and sequence variation was calculated to determine whether the genes could be used to discriminate among species. Furthermore, sequence variation was compared among previously used genetic markers to evaluate the robustness of the 12S and 16S rRNA genes as markers. Using both markers, the A. cantonensis lineage formed a monophyletic clade with a clear separation between A. cantonensis, A. malaysiensis, and A. mackerrasae. From our representative A. cantonensis and A. malaysiensis specimens, the genetic distance between the two clades was 6.8% -7.9% and 7.9% -10.0% for 12S and 16S rRNA genes, respectively, which is sufficient interspecific genetic variation for species discrimination. Higher levels of genetic variation were observed for the 16S rRNA gene, with 12 haplotypes and an intraspecific variation ≤2.2%. Thus, as a genetic marker, the 16S rRNA gene is comparable to mitochondrial protein-coding genes, which are commonly used in intra-level Angiostrongylus spp. studies. In conclusion, mitochondrial 12S and 16S rRNA genes can discriminate among closely related species in the A. cantonensis lineage, and they represent novel genetic markers for supporting existing phylogenies and verifying the phylogenetic position of A. mackerrasae.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.actatropica.2020.105645DOI Listing

Publication Analysis

Top Keywords

16s rrna
24
cantonensis lineage
20
12s 16s
20
rrna genes
20
genetic markers
16
novel genetic
12
closely species
12
species discrimination
12
genetic
9
genes
8

Similar Publications

G-quadruplex structures in 16S rRNA regions correlate with thermal adaptation in prokaryotes.

Nucleic Acids Res

January 2025

Division of Plant Science and Technology, University of Missouri, Columbia, MO 65211, United States.

G-quadruplex (G4) structure is a nucleic acid secondary structure formed by guanine-rich sequences, playing essential roles in various biological processes such as gene regulation and environmental stress adaptation. Although prokaryotes growing at high temperatures have higher GC contents, the pattern of G4 structure associated with GC content variation in thermal adaptation remains elusive. This study analyzed 681 bacterial genomes to explore the role of G4 structures in thermal adaptation.

View Article and Find Full Text PDF

Unlabelled: Many animals contain a species-rich and diverse gut microbiota that likely contributes to several host-supportive services that include diet processing and nutrient provisioning. Loss of microbiome taxa and their associated metabolic functions as result of perturbations may result in loss of microbiome-level services and reduction of metabolic capacity. If metabolic functions are shared by multiple taxa (i.

View Article and Find Full Text PDF

The goal of this study was to characterize the microbial profile of two different fresh pork cuts, bootjack (BJ) trim and tenderloin (TL), through a 16S rRNA sequencing workflow developed specifically for investigating low-biomass fresh meat within a commercial production schedule. Additionally, this study aimed to determine a baseline prevalence and enumeration profile across these two fresh pork cuts. Results showed that microbiome diversity was different between the BJ and TL, and also differed significantly by processing date.

View Article and Find Full Text PDF

clustur: an R package for clustering features using sparse distance matrices.

Microbiol Resour Announc

January 2025

Department of Microbiology & Immunology, University of Michigan, Ann Arbor, Michigan, USA.

The clustur R package implements the clustering algorithms found in the mothur software package for assigning 16S rRNA gene sequences to operational taxonomic units (OTUs). Making these algorithms accessible through the R ecosystem will foster their further development, broader application, and integration within other R packages.

View Article and Find Full Text PDF

Influence of sewage effluent discharge on putative pathogen community in drinking water sources: insights from full-length 16S rRNA gene amplicon sequencing.

J Water Health

January 2025

Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto University Katsura, Nishikyo, Kyoto 615-8540, Japan.

The discharge of sewage effluent is a major source of microbial contamination in drinking water sources, necessitating a comprehensive investigation of its impact on pathogenic bacterial communities. This study utilized full-length 16S rRNA gene amplicon sequencing to identify putative pathogenic bacteria and analyze their community structures in drinking water sources subjected to different levels of fecal pollution: urban rivers with low, moderate, and high sewage effluent mixing ratios, and mountain streams with minimal human impact. The sewage effluent itself was also analyzed.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!