DNA Barcoding Reveals Cryptic Diversity in the Underestimated Genus Triplophysa (Cypriniformes: Cobitidae, Nemacheilinae) from the Northeastern Qinghai-Tibet Plateau
Abstract:Background: The northeastern part of the Qinghai-Tibet Plateau (QTP) presents a high number of plateau loach species. As one of the three major groups of fishes distributed on the QTP, plateau loach has high ecological value. However, the taxonomy and systematics of these fish are still controversial, and a large number of new species have been reported. The reason for this phenomenon is that the degree of morphological variation is low, the phylogenetic information provided by morphological and anatomical fea… Show more
“…While single‐locus data has its limitations in making inferences about historical demography (Matumba et al, 2020), DNA barcoding, or the use of other single‐locus DNA markers, has provided tremendous insight into identifying evolutionary significant units and providing information on species in further need of exploration (Bousjein et al, 2021; León‐Tapia, 2021; Nneji et al, 2020; Sholihah et al, 2020; Wang et al, 2020). These data are particularly helpful when aiming to explore broad‐scale patterns such as those on a continental scale (Dincă et al, 2021) or across species (Doorenweerd et al, 2020), especially for a large number of taxonomic groups, as demonstrated here.…”
Patterns of genetic diversity within species contain information the history of that species, including how they have responded to historical climate change and how easily the organism is able to disperse across its habitat. More than 40,000 phylogeographic and population genetic investigations have been published to date, each collecting genetic data from hundreds of samples. Despite these millions of data points, meta‐analyses are challenging because the synthesis of results across hundreds of studies, each using different methods and forms of analysis, is a daunting and time‐consuming task. It is more efficient to proceed by repurposing existing data and using automated data analysis. To facilitate data repurposing, we created a database (phylogatR) that aggregates data from different sources and conducts automated multiple sequence alignments and data curation to provide users with nearly ready‐to‐analyse sets of data for thousands of species. Two types of scientific research will be made easier by phylogatR: large meta‐analyses of thousands of species that can address classic questions in evolutionary biology and ecology, and student‐ or citizen‐ science based investigations that will introduce a broad range of people to the analysis of genetic data. phylogatR enhances the value of existing data via the creation of software and web‐based tools that enable these data to be recycled and reanalysed and increase accessibility to big data for research laboratories and classroom instructors with limited computational expertise and resources.
“…While single‐locus data has its limitations in making inferences about historical demography (Matumba et al, 2020), DNA barcoding, or the use of other single‐locus DNA markers, has provided tremendous insight into identifying evolutionary significant units and providing information on species in further need of exploration (Bousjein et al, 2021; León‐Tapia, 2021; Nneji et al, 2020; Sholihah et al, 2020; Wang et al, 2020). These data are particularly helpful when aiming to explore broad‐scale patterns such as those on a continental scale (Dincă et al, 2021) or across species (Doorenweerd et al, 2020), especially for a large number of taxonomic groups, as demonstrated here.…”
Patterns of genetic diversity within species contain information the history of that species, including how they have responded to historical climate change and how easily the organism is able to disperse across its habitat. More than 40,000 phylogeographic and population genetic investigations have been published to date, each collecting genetic data from hundreds of samples. Despite these millions of data points, meta‐analyses are challenging because the synthesis of results across hundreds of studies, each using different methods and forms of analysis, is a daunting and time‐consuming task. It is more efficient to proceed by repurposing existing data and using automated data analysis. To facilitate data repurposing, we created a database (phylogatR) that aggregates data from different sources and conducts automated multiple sequence alignments and data curation to provide users with nearly ready‐to‐analyse sets of data for thousands of species. Two types of scientific research will be made easier by phylogatR: large meta‐analyses of thousands of species that can address classic questions in evolutionary biology and ecology, and student‐ or citizen‐ science based investigations that will introduce a broad range of people to the analysis of genetic data. phylogatR enhances the value of existing data via the creation of software and web‐based tools that enable these data to be recycled and reanalysed and increase accessibility to big data for research laboratories and classroom instructors with limited computational expertise and resources.
“…While single-locus data has its limitations in making inferences about historical demography (Matumba et al 2020), DNA barcoding, or the use of other single-locus DNA markers has provided tremendous insight into identifying evolutionary significant units and providing information on species in further need of exploration (Sholihah et al 2020;Wang et al 2020;Nneji et al 2020;Bousjein et al 2021;León-Tapia 2021). These data are particularly helpful when aiming to explore broad-scale patterns such as those on a continental scale (Dinça et al 2021) or across species (Doorenweerd et al 2020), especially for a large number of taxonomic groups, as demonstrated here.…”
Patterns of genetic diversity within species contain information about the history of that species, including how they have responded to historical climate change and how easily the organism is able to disperse across its habitat. More than 40,000 phylogeographic and population genetic investigations have been published to date, each collecting genetic data from hundreds of samples. Despite these millions of data points, meta-analyses are challenging because the synthesis of results across hundreds of studies, each using different methods and forms of analysis, is a daunting and time-consuming task. It is more efficient to proceed by repurposing existing data and using automated data analysis. To facilitate data repurposing, we created a database (phylogatR) that aggregates data from different sources and conducts automated multiple sequence alignments and data curation to provide users with nearly ready-to-analyze sets of data for thousands of species. Two types of scientific research will be made easier by phylogatR, large meta-analyses of thousands of species that can address classic questions in evolutionary biology and ecology and student- or citizen- science based investigations that will introduce a broad range of people to the analysis of genetic data. phylogatR enhances the value of existing data via the creation of software and web-based tools that enable these data to be recycled and reanalyzed and increase accessibility to big data for research labs and classroom instructors with limited computational expertise and resources.
“…Te molecular approach is considered backbone for evaluating fsh species evolutionary variation and conservation process for biological resources [27]. Unfortunately, as far as Nucleotide composition and genetic pairwise distance recommend that the calculated species of subfamily Nemacheilinae are organically dissimilar [6]. Te fsh diversity study was conducted to evaluate the genetic diversity and cryptic species identifcation of the genus Triplophysa in the fresh waters of Malakand Division through a molecular and morphological approaches [28].…”
Section: Disscussionmentioning
confidence: 99%
“…Triplophysa has a long confusing classifcation history therefore, the cryptic diversity of the genus Triplophysa will be examined in the study. It belongs to the subfamily Nemacheilinae [6]. Te diversity of fsh is so difcult on morphologically based therefore mitochondrial and nuclear gene sequences have been routinely used because the mitochondrial genomic part is mostly carrying heredity information [7] Te current investigation provides information on the genotype of a few Nemachilidae species from Iranian inland waters, including Paraschistura bampurensis, Oxynoemacheilus kiabii, Turcinemacheilus saadii, Leuciscine cyprinid, Alburnoides bipunctatus and Alburnus alburnus use mitochondrial gene COI [8].…”
Fish are cold blooded vertebrates’ identification on the bases of morphology is not more precise and required high taxonomic expertise therefore molecular identification is used as an alternative and more accurate technique for the identification of fishes. In the current investigation 39 fish specimens were collected from May 2021 to February 2022. With this aim, the recent study was conducted in the freshwaters of River Swat in Malakand Division, Khyber Pakhtunkhwa, Pakistan to explore the genetic diversity of genus Triplophysa. DNA was extracted and amplified using gene specific primers. The PCR products carefully were sequenced and Phylogenic analysis was performed using neighbor-joining, maximum likelihood through MEGA software. Nucleotide composition and genetic pairwise distance recommend that the calculated species of the subfamily Nemacheilinae are organically dissimilar. The River Swat is the study area and it is inhabited by three Triplophysa species, Triplophysa naziri, Triplophysa microps, and Triplophysa choprai. The evolutionary tree shows that these species are clearly separated. The mean of total length calculated in the three species of the genus Triplophysa such as 8.175 ± 0.198 cm for Triplophysa naziri, 10.14 ± 0.35 cm for Triplophysa microps, 11.052 ± 0.23 cm for Triplophysa choprai. This study provides a model for the improvement of identification in cryptic diversity and field of ichthyofauna.
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