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From 18S to 28S rRNA Gene: An Improved Targeted Sarcocystidae PCR Amplification, Species Identification with Long DNA Sequences.

ABSTRACT: Sarcocystosis outbreaks in Tioman and Pangkor islands of Malaysia between 2011 and 2014 have raised the need to improve Sarcocystis species detection from environmental samples. In-house works found that published primers amplifying the 18S rRNA gene of Sarcocystis either could not produce the target from environmental samples or produced Sarcocystis DNA sequence that was insufficient for species identification. Using the primer pair of 18S S5 F (published) and 28S R6 R (new), this study improved the PCR amplification of Sarcocystidae to overcome these two difficulties. The PCR product spanned from the 18S to 28S rRNA genes, providing more information for species identification. The long DNA sequence allowed comparison between the "Ident" and "Query Cover" sorting in GenBank identity matching. This revealed the ambiguity in identity matching caused by different lengths of reference DNA sequences, which is seldom discussed in the literature. Using the disparity index test, a measurement of homogeneity in nucleotide substitution pattern, it is shown that the internal transcribed spacer (ITS)1-5.8S-ITS2 and 28S genes are better than the 18S gene in indicating nucleotide variations, implying better potentials for species identification. The example given by the handful of Sarcocystidae long DNA sequences reported herein calls for the need to report DNA sequence from the 18S to the 28S rRNA genes for species identification, especially among emerging pathogens. DNA sequence reporting should include the hypervariable 5.8S and ITS2 regions where applicable, and not be limited to single gene, per the current general trend.

SUBMITTER: Lee FCH

PROVIDER: S-EPMC8045662 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundMetagenetic analyses, which amplify and sequence target marker DNA regions from environmental samples, are increasingly employed to assess the biodiversity of communities of small organisms. Using this approach, our understanding of microbial diversity has expanded greatly. In contrast, only a few studies using this approach to characterize metazoan diversity have been reported, despite the fact that many metazoan species are small and difficult to identify or are undescribed. One of the reasons for this discrepancy is the availability of universal primers for the target taxa. In microbial studies, analysis of the 16S ribosomal DNA is standard. In contrast, the best gene for metazoan metagenetics is less clear. In the present study, we have designed primers that amplify the nuclear 18S and 28S ribosomal DNA sequences of most metazoan species with the goal of providing effective approaches for metagenetic analyses of metazoan diversity in environmental samples, with a particular emphasis on marine biodiversity.Methodology/principal findingsConserved regions suitable for designing PCR primers were identified using 14,503 and 1,072 metazoan sequences of the nuclear 18S and 28S rDNA regions, respectively. The sequence similarity of both these newly designed and the previously reported primers to the target regions of these primers were compared for each phylum to determine the expected amplification efficacy. The nucleotide diversity of the flanking regions of the primers was also estimated for genera or higher taxonomic groups of 11 phyla to determine the variable regions within the genes.Conclusions/significanceThe identified nuclear ribosomal DNA primers (five primer pairs for 18S and eleven for 28S) and the results of the nucleotide diversity analyses provide options for primer combinations for metazoan metagenetic analyses. Additionally, advantages and disadvantages of not only the 18S and 28S ribosomal DNA, but also other marker regions as targets for metazoan metagenetic analyses, are discussed.

Dataset Information

From 18S to 28S rRNA Gene: An Improved Targeted Sarcocystidae PCR Amplification, Species Identification with Long DNA Sequences.

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