Author

Z.-q. Chen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Pathology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1 Organism:multiple species· 1

Frequent Co-Authors

B. Karlsson· 2 shared H. Wu· 2 shared L. Zhou· 2 shared M. R. Garcia-Gil· 2 shared B. Chen· 1 shared B. Jia· 1 shared C.-w. Zou· 1 shared D.-L. Yang· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersEvolutionary Biology

B. Karlsson

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Discovery of aphid-transmitted Rice tiller inhibition virus from native plants through metagenomic sequencing

W. Yan, Y. Zhu, W.-C. Liu, C.-w. Zou, B. Jia, Z.-Q. Chen, Y. Han, J. Wu, D.-L. Yang, B. Chen, R. Li, S.-W. Ding, Q. Wu, Z. Guo

The paper discovers a new aphid-transmitted rice virus, RTIV, from wild rice plants and shows it causes low-tillering disease in rice cultivars.

bioRxiv · Nov 4, 2022Pathology

Teasing apart the joint effect of demography and natural selection in the birth of a contact zone

L. Li, P. Milesi, M. Tiret, J. Chen, J. Sendrowski, J. Baison, Z.-q. Chen, L. Zhou, B. Karlsson, M. Berlin, J. Westin, M. R. Garcia-Gil, H. Wu, M. Lascoux

The paper uses genomic data to show that natural selection and demographic history jointly shaped the genetic structure and contact zones in Norway spruce during post-glacial recolonization.

bioRxiv · Jan 11, 2022Evolutionary Biology

Effect of number of annual rings and tree ages on genomic predictive ability for solid wood properties of Norway spruce

L. Zhou, Z.-q. Chen, T. Grahn, B. Karlsson, H. Wu, S.-o. Lundqvist, M. R. Garcia-Gil

This study evaluates genomic predictive ability for wood properties in Norway spruce, finding that using 80-90% of data as training sets yields high accuracy, and that predicting young trees from older coring data is feasible.

bioRxiv · Mar 26, 2020Plant Biology