Wen Bo Liao

Dr. Wen Bo Liao

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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8 January 2018 in Journal of Zhejiang University-SCIENCE B
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XBXavier-Ravi Baskaran
Xavier-Ravi Baskaran
AVAntony-Varuvel Geo Vigila
Antony-Varuvel Geo Vigila
SZShou-Zhou Zhang
Shou-Zhou Zhang
SFShi-Xiu Feng
Shi-Xiu Feng
WLWen Bo Liao
Wen Bo Liao
The aim of this review was to explore the pharmacological activity of early tracheophytes (pteridophytes) as an alternative medicine for treating human ail

19 November 2014 in Oecologia
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WLWen Bo Liao
Wen Bo Liao
WLWen Chao Liu
Wen Chao Liu
Juha MeriläJuha Merilä
Juha Merilä

1 December 2016 in The American Naturalist
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Journal Article
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WLWen Bo Liao
Wen Bo Liao
SLShang Ling Lou
Shang Ling Lou
YZYu Zeng
Yu Zeng
AKAlexander Kotrschal
Alexander Kotrschal
Brain size differs substantially among species, and several hypotheses have been proposed to explain the evolution of brain size. Because the brain is among the most energetically expensive organs in the vertebrate body, trade-offs have been hypothesized to exert constraints on brain size evolution. Prominently, the expensive tissue hypothesis (ETH) proposes that reducing the size of another expensive organ, such as the gut, should compensate for the cost of a large brain. But energetic constraints may also drive covariation between the brain and other costly traits—such as body maintenance, locomotion, or reproduction—as formulated in the energy trade-off hypothesis. To date, these hypotheses have mainly been tested in homeothermic animals and within the ectothermic animals, primarily in fishes. Here, we undertake a comparative test of the interplay between energetic limitations and brain size evolution within amphibians. After controlling for phylogenetic relationships and body size, we find a negative correlation between brain mass and the length of the digestive tract within 30 species of anurans. We further find that the evolution of large brain size is accompanied by an increase in female reproductive investment into egg size. Our results suggest that the evolution of brain size follows general patterns across vertebrate clades.


1 May 2021 in Molecular Phylogenetics and Evolution
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KMKai-Kai Meng
Kai-Kai Meng
SCSu-Fang Chen
Su-Fang Chen
KXKe-Wang Xu
Ke-Wang Xu
RZRen-Chao Zhou
Ren-Chao Zhou
MLMing-Wan Li
Ming-Wan Li
FQFan Qiang
Fan Qiang

6 August 2015 in Journal of Evolutionary Biology
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WLWen Bo Liao
Wen Bo Liao
SLS. L. Lou
S. L. Lou
YZY. Zeng
Y. Zeng
Juha MeriläJuha Merilä
Juha Merilä
Variation in ecological selection pressures has been implicated to explain variation in brain size and architecture in fishes, birds and mammals, but little is known in this respect about amphibians. Likewise, the relative importance of constraint vs. mosaic hypotheses of brain evolution in explaining variation in brain size and architecture remains contentious. Using phylogenetic comparative methods, we studied interspecific variation in brain size and size of different brain parts among 43 Chinese anuran frogs and explored how much of this variation was explainable by variation in ecological factors (viz. habitat type, diet and predation risk). We also evaluated which of the two above‐mentioned hypotheses best explains the observed patterns. Although variation in brain size explained on average 80.5% of the variation in size of different brain parts (supporting the constraint hypothesis), none of the three ecological factors were found to explain variation in overall brain size. However, habitat and diet type explained a significant amount of variation in telencephalon size, as well in three composite measures of brain architecture. Likewise, predation risk explained a significant amount of variation in bulbus olfactorius and optic tecta size. Our results show that evolution of anuran brain accommodates features compatible with both constraint (viz. strong allometry among brain parts) and mosaic (viz. independent size changes in response to ecological factors in certain brain parts) models of brain size evolution.