Yian Gu

Prof. Yian Gu

Nanjing Tech University, Nanjing, Jiangsu, China
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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6 September 2019 in Science Advances
Verified
Journal Article
Open access
PDF file
ZWZhong Wei
Zhong Wei
Yian GuYian Gu
Yian Gu
Ville-Petri  FrimanVille-Petri Friman
Ville-Petri Friman
GKGeorge A. Kowalchuk
George A. Kowalchuk
YXYangchun Xu
Yangchun Xu
AJAlexandre Jousset
Alexandre Jousset
Plant-pathogen interactions are shaped by multiple environmental factors, making it difficult to predict disease dynamics even in relatively simple agricultural monocultures. Here, we explored how variation in the initial soil microbiome predicts future disease outcomes at the level of individual plants. We found that the composition and functioning of the initial soil microbiome predetermined whether the plants survived or succumbed to disease. Surviving plant microbiomes were associated with specific rare taxa, highly pathogen-suppressing Pseudomonas and Bacillus bacteria, and high abundance of genes encoding antimicrobial compounds. Microbiome-mediated plant protection could subsequently be transferred to the next plant generation via soil transplantation. Together, our results suggest that small initial variation in soil microbiome composition and functioning can determine the outcomes of plant-pathogen interactions under natural field conditions.

3 March 2020 in Microbiome
Verified
Journal Article
Open access
PDF file
WXWu Xiong
Wu Xiong
YSYuqi Song
Yuqi Song
KYKeming Yang
Keming Yang
Yian GuYian Gu
Yian Gu
ZWZhong Wei
Zhong Wei
SGStefan Geisen
Stefan Geisen
Background: Plant health is intimately influenced by the rhizosphere microbiome, a complex assembly of organisms that changes markedly across plant growth. However, most rhizosphere microbiome research has focused on fractions of this microbiome, particularly bacteria and fungi. It remains unknown how other microbial components, especially key microbiome predators—protists—are linked to plant health. Here, we investigated the holistic rhizosphere microbiome including bacteria, microbial eukaryotes (fungi and protists), as well as functional microbial metabolism genes. We investigated these communities and functional genes throughout the growth of tomato plants that either developed disease symptoms or remained healthy under field conditions.Results: We found that pathogen dynamics across plant growth is best predicted by protists. More specifically, communities of microbial-feeding phagotrophic protists differed between later healthy and diseased plants at plant establishment. The relative abundance of these phagotrophs negatively correlated with pathogen abundance across plant growth, suggesting that predator-prey interactions influence pathogen performance. Furthermore, phagotrophic protists likely shifted bacterial functioning by enhancing pathogen-suppressing secondary metabolite genes involved in mitigating pathogen success.Conclusions: We illustrate the importance of protists as top-down controllers of microbiome functioning linked to plant health. We propose that a holistic microbiome perspective, including bacteria and protists, provides the optimal next step in predicting plant performance.

1 March 2018 in Soil Biology and Biochemistry
Verified
Journal Article
Closed access
ZWZhong Wei
Zhong Wei
JHJie Hu
Jie Hu
Yian GuYian Gu
Yian Gu
SYShixue Yin
Shixue Yin
YXYangchun Xu
Yangchun Xu
Ville-Petri  FrimanVille-Petri Friman
Ville-Petri Friman

22 July 2022 in The ISME Journal
Verified
Journal Article
Open access
PDF file
Yian GuYian Gu
Yian Gu
SBSamiran Banerjee
Samiran Banerjee
FDFrancisco Dini-Andreote
Francisco Dini-Andreote
YXYangchun Xu
Yangchun Xu
QSQirong Shen
Qirong Shen
ZWZhong Wei
Zhong Wei
Even in homogeneous conditions, plants facing a soilborne pathogen tend to show a binary outcome with individuals either remaining fully healthy or developing severe to lethal disease symptoms. As the rhizosphere microbiome is a major determinant of plant health, we postulated that such a binary outcome may result from an early divergence in the rhizosphere microbiome assembly that may further cascade into varying disease suppression abilities. We tested this hypothesis by setting up a longitudinal study of tomato plants growing in a natural but homogenized soil infested with the soilborne bacterial pathogen Ralstonia solanacearum. Starting from an originally identical species pool, individual rhizosphere microbiome compositions rapidly diverged into multiple configurations during the plant vegetative growth. This variation in community composition was strongly associated with later disease development during the later fruiting state. Most interestingly, these patterns also significantly predicted disease outcomes 2 weeks before any difference in pathogen density became apparent between the healthy and diseased groups. In this system, a total of 135 bacterial OTUs were associated with persistent healthy plants. Five of these enriched OTUs (Lysinibacillus, Pseudarthrobacter, Bordetella, Bacillus, and Chryseobacterium) were isolated and shown to reduce disease severity by 30.4–100% when co-introduced with the pathogen. Overall, our results demonstrated that an initially homogenized soil can rapidly diverge into rhizosphere microbiomes varying in their ability to promote plant protection. This suggests that early life interventions may have significant effects on later microbiome states, and highlights an exciting opportunity for microbiome diagnostics and plant disease prevention.

27 July 2016 in Biology and Fertility of Soils
Verified
Journal Article
Closed access
PDF file
Yian GuYian Gu
Yian Gu
ZWZhong Wei
Zhong Wei
XWXueqi Wang
Xueqi Wang
Ville-Petri  FrimanVille-Petri Friman
Ville-Petri Friman
JHJianfeng Huang
Jianfeng Huang
AJAlexandre Jousset
Alexandre Jousset

29 December 2016 in Plant and Soil
Verified
Journal Article
Closed access
PDF file
Yian GuYian Gu
Yian Gu
YHYugang Hou
Yugang Hou
DHDapeng Huang
Dapeng Huang
ZHZhexia Hao
Zhexia Hao
XWXiaofang Wang
Xiaofang Wang
Ville-Petri  FrimanVille-Petri Friman
Ville-Petri Friman