Junming Cui

Junming Cui

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Junming Cui has a total of 17 co-authors. Here are the top co-authors by number of shared publications:

  • Jinlu Zhang

    Key Laboratory of Forest Disaster Warning and Control of Yunnan Province, Southwest Forestry University, Kunming 650224, China

    2 shared publications
  • Da-Rong Yang

    Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, China

    1 shared publication
  • Fang Liu

    Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China

    1 shared publication
  • Jun Liu

    Key Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education/Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, College of Forestry, Southwest Forestry University, Kunming 650224, China

    1 shared publication
  • Jun Yang

    College of Agronomy, Chuxiong Normal University, Chuxiong 675000, China

    1 shared publication
  • Mi Zhu

    Key Laboratory of Forest Disaster Warning and Control of Yunnan Province, Southwest Forestry University, Kunming 650224, China

    1 shared publication

Latest Publications

  • Open Access

    Establishment of a COI Haplotype Baseline and Genetic Diversity Evaluation of Vespa soror (Hymenoptera: Vespidae) in Southern China Based on Mitochondrial Gene Sequences

    by Junming Cui, Jinlu Zhang, Jun Liu, Zian Wang, Yanhe Guo, Jun Yang, Zhenji Wang

    Vespa soror, is an important resource insect that is widely distributed in China. However, there have been few reports on the genetic diversity of this species so far. We based our study on Cytochrome c Oxidase Subunit I (COI) gene as a molecular marker, to estimate the genetic diversity of V. soror. The length of the COI gene is 614 base pairs (bp), and a total of 26 haplotypes were obtained. Among these haplotypes, Hap_3 and Hap_13 are the dominant haplotypes. Overall, V. soror exhibits high genetic diversity, with a haplotype diversity (Hd) of 0.941 ± 0.010 and a nucleotide diversity (Pi) of 0.01068 ± 0.00079. Significant genetic differentiation has occurred among populations, with pairwise Fixation Index (Fst) values greater than 0.25 accounting for over two-thirds of all comparisons. The overall FST value was 0.47872. Despite fluctuations in the degree of genetic differentiation among different populations (−0.076 to 1.00), the overall level of genetic differentiation remained within a relatively high range. For most populations, the Tajima’s D and Fu’s Fs test results were positive, and both were non-significant (p > 0.10). AMOVA attributed 15.82%, 36.37%, and 47.81% of total variation to among-group, among-population within-group, and within-population variation, respectively. Overall, it exhibits high genetic diversity, significant genetic differentiation.

  • Open Access

    Elevation and Human Disturbance Interactively Influence the Patterns of Insect Diversity on the Southeastern Periphery of the Tibetan Plateau

    by Zhouyang Liao, Jinlu Zhang, Xuemei Shen, Mi Zhu, Xinlin Lan, Junming Cui, Yunfang Guan, Ying Zhang, Zhongjian Deng, Tiantian Tang, et al.

    The maintenance of biodiversity and ecological balance heavily relies on the diversity of insects. In order to investigate the impacts of elevation and human disturbance, as well as their interactions on insect diversity, we conducted an intensive survey of insects in the Hengduan Mountain Range, which is situated on the southeastern periphery of the Tibetan Plateau in China. A total of 50 line transects were established in this study to investigate the impact of elevation and human disturbance on insect diversity and distribution patterns. Designed insect surveys were conducted at various elevations and levels of human disturbance, and statistical methods such as generalized linear modeling and redundancy analysis were employed for data analysis. The results of this study indicated a negative correlation between insect diversity and elevation. Additionally, moderate disturbance was found to have a positive impact on insect diversity to some extent. The explanatory power of the model for the distribution of insect diversity could be improved if elevation and human disturbance were included as an interaction effect into the model, and there were differences in the effects of human disturbances on insect diversity at different elevation levels. The highest insect diversity was observed under low disturbance conditions below elevation of ~2200 m, whereas above this threshold, insect diversity was the highest under moderate disturbance compared to low disturbance. The response of different insect taxa to the interactions of elevation and human disturbance varied. The findings imply that when formulating strategies for managing insect diversity, it is crucial to thoroughly consider the interaction of environmental factors and disturbance response of individual insect taxa.