Background: Chloroplast genome sequencing is becoming a valuable process for developing several DNA barcodes. At present, plastid DNA barcode for systematics and evolution in flowering plant rely heavily on the use of non-coding genes. The present study was performed to verify the novelty and suitability of the two hotspot barcode plastid coding gene ycf1 and ndhF, to estimate the rate of molecular evolution in the Prunus genus at low taxonomic levels.
Results: Here, 25 chloroplast genomes of Prunus genus were selected for sequences annotation to search for the highly variable coding DNA barcode regions. Among them, 5 genera were of our own data, including the ornamental, cultivated, and wild haplotype, while 20 genera have been downloaded from the GenBank database. The results indicated that the two hotspot plastid gene ycf1 and ndhF were the most variable regions within the coding genes in Prunus with an average of 3268 to 3416 bp in length, which have been predicted to have the highest nucleotide diversity, with the overall transition/transversion bias (R = 1.06). The ycf1-ndhF structural domains showed a positive trend evident in structure variation among the 25 specimens tested, due to the variant overlaps gene annotation and insertion or deletion with a broad trend of the full form of IGS sequence. As a result, the principal component analysis (PCA) and the ML tree data drew an accurate monophyletic annotations cluster in Prunus species, offering unambiguous identification without overlapping groups between peach, almond, and cherry.
Conclusion: To this end, we put forward the domain of the two-locus ycf1-ndhF genes as the most promising coding plastid DNA barcode in P. persica at low taxonomic levels. We believe that the discovering of further variable loci with high evolutionary rates is extremely useful and potential uses as a DNA barcode in P. persica for further phylogeny study and species identification.
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http://dx.doi.org/10.1186/s43141-020-00057-3 | DOI Listing |
Data Brief
December 2024
Thai Nguyen University of Education, Thai Nguyen City, 24000, Viet Nam.
Species of the genus have the potential to be natural medicines and have industrial fibre production uses. Many species of this genus are morphologically similar and are difficult to distinguish, especially when their morphology is distorted. This dataset includes sequence information of several DNA regions isolated from the genome of , namely ITS (from the nuclear genome), , trnL-trnF, trnH-psbA, and (from the chloroplast genome) and phylogenetic analysis results based on the isolated sequences.
View Article and Find Full Text PDFSci Rep
December 2024
School of Health and Life Sciences, Teesside University, Middlesbrough, UK.
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December 2024
Laboratorio de Parasitología Molecular, Vicerrectoría de Investigaciones, Universidad El Bosque, Bogotá, Colombia.
In 2006, a PCR method was introduced to subtype by Sanger sequencing of an ≈610 bp amplicon of the 18S rRNA gene. This method, known as barcoding-PCR, has become widespread, although the primer pair used can amplify non- sequences, which can result in false positives. Barcoding-PCR is most effective with DNA extracted from cultures, limiting its sensitivity when used directly with stool samples.
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December 2024
National Center for Biotechnology, 13/5, Korgalzhyn Road, 010000, Astana, Kazakhstan.
Ribes janczewskii is a rare and valuable plant known for its resistance to spring frosts, pests, and diseases. It is used in hybridization to develop resistant currant varieties but is on the verge of extinction, listed in Kazakhstan Red Book. This study developed a micropropagation and slow-growth storage protocol for conservation.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
The James Hutton Institute, Dundee, UK.
We describe a protocol to amplify DNA barcodes of known and unknown taxa of Phytophthora and related plant pathogenic oomycetes from a range of environments. The methods focus on sampling pathogen propagules from water using in situ sampling and filtration equipment and buffers that enable efficient storage and DNA extraction for later downstream processing.
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