Dataset Information

The complete mitochondrial genome of Eremias dzungarica (Reptilia, Squamata, Lacertidae) from the Junggar Basin in Northwest China.

ABSTRACT: The complete mitochondrial genome (mitogenome) of Eremias dzungarica from the Junggar Basin in Northwest China was determined for the first time by next-generation sequencing. The total length is 19,899 bp, containing13 protein-coding genes (PCGs), two ribosomal RNA genes, 22 transfer RNA genes and one control region. This gene arrangement is similar to the typical mtDNA of vertebrates. The 13 concatenated PCGs were used to perform Bayesian phylogenetic analyses together with several congeners as well as ten representative lacertids with mitogenome data available in GenBank. The resulting phylogenetic tree supports the monophyly of viviparous species in Eremias, with E. dzungarica being more closely related to E. przewalskii than to E. multiocellata. The mitogenome of E. dzungarica will provide fundamental data for the exploration of the mitogenome evolution in lacertids.

SUBMITTER: Wang S

PROVIDER: S-EPMC8208112 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:AimDryland ecosystems are exceedingly sensitive to climate change. Desertification induced by both climate changes and human activities seriously threatens dryland vegetation. However, the impact of climate change on distribution of dryland plant species has not been well documented. Here, we studied the potential distribution of four representative dryland plant species (Haloxylon ammodendron, Anabasis aphylla, Calligonum mongolicum, and Populus euphratica) under current and future climate scenarios in a temperate desert region, aiming to improve our understanding of the responses of dryland plant species to climate change and provide guidance for dryland conservation and afforestation.LocationJunggar Basin, a large desert region in northwestern China.MethodsOccurrence data of the studied species were collected from an extensive field investigation of 2,516 sampling sites in the Junggar Basin. Ensemble species distribution models using 10 algorithms were developed and used to predict the potential distribution of each studied species under current and future climate scenarios.ResultHaloxylon ammodendron and A. aphylla were likely to lose most of their current suitable habitats under future climate scenarios, while C. mongolicum and P. euphratica were likely to expand their ranges or remain relatively stationary. Variable importance evaluation showed that the most important climate variables influencing species distribution differed across the studied species. These results may be explained by the different ecophysiological characteristics and adaptation strategies to the environment of the four studied species.Main conclusionsWe explored the responses of the representative dryland plant species to climate change in the Junggar Basin in northwestern China. The different changes in suitability of different species imply that policymakers may need to reconsider the selection and combination of the afforestation species used in this area. This study can provide valuable reference for the management and conservation of dryland ecosystems under future climate change scenarios.

Dataset Information

The complete mitochondrial genome of Eremias dzungarica (Reptilia, Squamata, Lacertidae) from the Junggar Basin in Northwest China.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets