Xin Guang Zhu

Summary

Affiliation: CAS-MPG Partner Institute for Computational Biology
Country: China

Publications

  1. Zhu X, Long S, Ort D. Improving photosynthetic efficiency for greater yield. Annu Rev Plant Biol. 2010;61:235-61 pubmed publisher
    ..Collectively, these changes have the potential to more than double the yield potential of our major crops. ..
  2. Wang Y, Bräutigam A, Weber A, Zhu X. Three distinct biochemical subtypes of C4 photosynthesis? A modelling analysis. J Exp Bot. 2014;65:3567-78 pubmed publisher
    ..Therefore, only two C4 subtypes should be considered as distinct subtypes, the NADP-ME type and NAD-ME types, which both inherently involve a supplementary PEPCK cycle. ..
  3. Li Y, Xu J, Haq N, Zhang H, Zhu X. Was low CO2 a driving force of C4 evolution: Arabidopsis responses to long-term low CO2 stress. J Exp Bot. 2014;65:3657-67 pubmed publisher
    ..These responses to low CO2 are discussed with regard to the fitness of C3 plants under low CO2. This work also briefly discusses the relevance of the data to C4 photosynthesis evolution. ..
  4. Xin C, Tholen D, Devloo V, Zhu X. The benefits of photorespiratory bypasses: how can they work?. Plant Physiol. 2015;167:574-85 pubmed publisher
  5. Hamdani S, Qu M, Xin C, Li M, Chu C, Govindjee -, et al. Variations between the photosynthetic properties of elite and landrace Chinese rice cultivars revealed by simultaneous measurements of 820 nm transmission signal and chlorophyll a fluorescence induction. J Plant Physiol. 2015;177:128-38 pubmed publisher
    ..These data suggested a potential artificial selection of FNR during the breeding process of these examined elite rice cultivars. ..
  6. Tao Y, Lyu M, Zhu X. Transcriptome comparisons shed light on the pre-condition and potential barrier for C4 photosynthesis evolution in eudicots. Plant Mol Biol. 2016;91:193-209 pubmed publisher
    ..The implications of these transcriptomic differences between the C4-rich and C4-poor groups to C4 evolution are discussed. ..
  7. Xu J, Bräutigam A, Weber A, Zhu X. Systems analysis of cis-regulatory motifs in C4 photosynthesis genes using maize and rice leaf transcriptomic data during a process of de-etiolation. J Exp Bot. 2016;67:5105-17 pubmed publisher
  8. Xiao Y, Tholen D, Zhu X. The influence of leaf anatomy on the internal light environment and photosynthetic electron transport rate: exploration with a new leaf ray tracing model. J Exp Bot. 2016;67:6021-6035 pubmed
    ..Mechanisms underlying leaf internal light heterogeneity and implications of the heterogeneity for photoprotection and for the convexity of the light response curves are discussed. ..
  9. Cao C, Xu J, Zheng G, Zhu X. Evidence for the role of transposons in the recruitment of cis-regulatory motifs during the evolution of C4 photosynthesis. BMC Genomics. 2016;17:201 pubmed publisher
    ..The findings of the present study coincide with the observed repetitive emergence of C4 during evolution. ..

More Information

Publications13

  1. Thakur V, Wanchana S, Xu M, Bruskiewich R, Quick W, Mosig A, et al. Characterization of statistical features for plant microRNA prediction. BMC Genomics. 2011;12:108 pubmed publisher
    ..In summary, the present study reports behavior of few general and tool-specific statistical features for improving the prediction accuracy of plant miRNAs from deep-sequencing data. ..
  2. Essemine J, Xiao Y, Qu M, Mi H, Zhu X. Cyclic electron flow may provide some protection against PSII photoinhibition in rice (Oryza sativa L.) leaves under heat stress. J Plant Physiol. 2017;211:138-146 pubmed publisher
    ..All these data suggest that higher CET can confer higher photoprotection to PSII in rice lines, which can be a desirable trait during rice breeding, especially in the context of a "warming" world. ..
  3. Xu J, Li Y, Wang Y, Liu X, Zhu X. Altered expression profiles of microRNA families during de-etiolation of maize and rice leaves. BMC Res Notes. 2017;10:108 pubmed publisher
    ..This study provided the comprehensive list of miRNA that showed altered expression during the de-etiolation process and a number of candidate miRNAs that might play regulatory roles in C3 and C4 photosynthesis. ..
  4. Zheng G, Xu Y, Zhang X, Liu Z, Wang Z, Chen L, et al. CMIP: a software package capable of reconstructing genome-wide regulatory networks using gene expression data. BMC Bioinformatics. 2016;17:535 pubmed publisher
    ..This new software package provides a powerful tool for genomic network reconstruction to biological community. The software can be accessed at http://www.picb.ac.cn/CMIP/ . ..