Tinglei Jiang

Dr. Tinglei Jiang

Northeast Normal University, Changchun, China
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 July 2012 in Molecular Genetics and Genomics
Verified
Journal Article
Closed access
PDF file
SLSen Liu
Sen Liu
KSKeping Sun
Keping Sun
TJTinglei Jiang
Tinglei Jiang
JHJennifer P. Ho
Jennifer P. Ho
BLBao Liu
Bao Liu
JFJiang Feng
Jiang Feng

25 August 2021 in mSphere
Verified
Journal Article
Open access
LGLixin Gong
Lixin Gong
BLBoyu Liu
Boyu Liu
HWHui Wu
Hui Wu
JFJiang Feng
Jiang Feng
TJTinglei Jiang
Tinglei Jiang
The coevolution between the host and its gut microbes can promote an animal’s adaptation to its specific ecological niche and changes in energy and nutritional requirements. This study focused on an avivorous bat, the great evening bat ( Ia io ), to investigate how seasonal dietary shifts affect the gut microbial composition and function, thereby facilitating adaptation to an avian diet.

10 July 2010 in BMC Ecology and Evolution
Verified
Journal Article
Open access
PDF file
YYYUYAN YOU
YUYAN YOU
KSKeping Sun
Keping Sun
LXLijie Xu
Lijie Xu
LWLei Wang
Lei Wang
TJTinglei Jiang
Tinglei Jiang
JFJiang Feng
Jiang Feng
Background: Global climatic oscillations, glaciation cycles and the unique geographic topology of China have profoundly influenced species population distributions. In most species, contemporary distributions of populations cannot be fully understood, except in a historical context. Complex patterns of Pleistocene glaciations, as well as other physiographic changes have influenced the distribution of bat species in China. Until this study, there had been no phylogeographical research on Myotis davidii, an endemic Chinese bat. We used a combination of nuclear and mitochondrial DNA markers to investigate genetic diversity, population structure, and the demographic history of M. davidii. In particular, we compared patterns of genetic variation to glacial oscillations, topography, and environmental variation during the Pleistocene in an effort to explain current distributions in light of these historical processes. Results: M. davidii comprises three lineages (MEP, SWP and SH) based on the results of molecular variance analysis (AMOVA) and phylogenetic analyses. The results of a STRUCTURE analysis reveal multi-hierarchical population structure in M. davidii. Nuclear and mitochondrial genetic markers reveal different levels of gene flow among populations. In the case of mtDNA, populations adhere to an isolation-by-distance model, whereas the individual assignment test reveals considerable gene flow between populations. MDIV analysis indicate that the split of the MEP and SWP/SH lineages, and from the SWP and SH lineages were at 201 ka BP and 158 ka BP, respectively. The results of a mismatch distribution analysis and neutrality tests indicate a population expansion event at 79.17 ka BP and 69.12 ka BP in MEP and SWP, respectively. Conclusions: The complex demographic history, discontinuous extant distribution of haplotypes, and multiple-hierarchy population structure of M. davidii appear associated with climatic oscillations, topography and eco-environmental variation of China. Additionally, the three regions are genetically differentiated from one another in the entire sample set. The degree of genetic differentiation, based on the analysis of mtDNA and nDNA, suggests a male-mediated gene flow among populations. Refuges were in the MEP, SH and the lower elevations of SWP regions. This study also provides insights for conservation management units (MEP, SWP and SH).

20 January 2025 in Nature Microbiology
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Journal Article
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XYXiaomin Yan
Xiaomin Yan
YLYang Liu
Yang Liu
THTingsong Hu
Tingsong Hu
ZHZhenglanyi Huang
Zhenglanyi Huang
CLChenxi Li
Chenxi Li
BHBiao He
Biao He

19 February 2025 in Nature Microbiology
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Journal Article
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SZShuning Zhang
Shuning Zhang
LPLihua Peng
Lihua Peng
SGShyamal Goswami
Shyamal Goswami
YLYuchen Li
Yuchen Li
HDHaiyue Dang
Haiyue Dang
PKParag Kundu
Parag Kundu

20 January 2014 in PLOS ONE
Verified
Journal Article
Open access
HWHui Wu
Hui Wu
TJTinglei Jiang
Tinglei Jiang
XHXiaobin Huang
Xiaobin Huang
HLHongjun Lin
Hongjun Lin
HWHongwei Wang
Hongwei Wang
JFJiang Feng
Jiang Feng
Sexual size dimorphism (SSD) is widespread within the animal kingdom. Rensch’s rule describes a relationship between SSD and body size: SSD increases with body size when males are the larger sex, and decreases with body size when females are the larger sex. Rensch’s rule is well supported for taxa that exhibit male-biased SSD but patterns of allometry among taxa with female-biased size dimorphism are mixed, there is evidence both for and against the rule. Furthermore, most studies have investigated Rensch’s rule across a variety of taxa; but among-population studies supporting Rensch’s rule are lacking, especially in taxa that display only slight SSD. Here, we tested whether patterns of intraspecific variation in SSD in greater horseshoe bats conform to Rensch’s rule, and evaluated the contribution of latitude to Rensch’s rule. Our results showed SSD was consistently female-biased in greater horseshoe bats, although female body size was only slightly larger than male body size. The slope of major axis regression of log10 (male) on log10 (female) was significantly different from 1. Forearm length for both sexes of greater horseshoe bats was significantly negatively correlated with latitude, and males displayed a slightly but nonsignificant steeper latitudinal cline in body size than females. We suggest that variation in patterns of SSD among greater horseshoe bat populations is consistent with Rensch’s rule indicating that males were the more variable sex. Males did not have a steeper body size–latitude relationship than females suggesting that sex-specific latitudinal variation in body size may not be an important contributing factor to Rensch’s rule. Future research on greater horseshoe bats might best focus on more comprehensive mechanisms driving the pattern of female-biased SSD variation.