Hafeez Ulhaq

Rhizosphere and root microbes. (This work is the subproject of international Research Training Group TreeDì (GRK 2324)).

Project Discerption:

In the Project Titled “Rhizosphere and root-associated microbiome”. We aim to correlate the rhizosphere and endosphere microbiome co-occurrence dynamics, as well as the functional gene patterns to plant characteristics, root exudate shapes, and overall functional dissimilarity between tree and shrub species combinations. Furthermore, the indications of bacterial taxa and functional or meta-transcriptomic genes to climate variability, tree and shrub species pairs, and tree diversification patterns will be examined using a high-throughput sequencing technique.

• Since 2021:
  Doctoral Researcher, Department of Soil Ecology, Helmholtz Center for Environmental Research – UFZ (With focus on the association between rhizosphere and endosphere microbial communities (bacterial and fungal) of tree-tree interaction in Chinese subtropical forests).
• 2018–2021:
  Master of Science (MS) in specialization Biochemistry and Molecular Biology, Collage of Life Sciences, Fujian Normal University, China.
  Master thesis: Effect of Chicken manure amendments and crop rotation on rhizosphere microbiome and resistome.
• 2014-2018:
  Bachelor of Science (BS) in specialization Biotechnology and Genetics Engineering, Kohat University of Science and Technology, Pakistan.

• Weiling Lin, Ruirui lv, Hafeez ul Haq, Yuanyuan Gao, Hongli Ren, Canhua Lan, and Baoyu Tian Differential proteomics reveals main determinants for the improved pectinase activity in UV-mutagenized Aspergillus niger strain. Biotechnol Lett (2021). https://doi.org/10.1007/s10529-020-03075-w
• Cheng Z, Lei S, Li Y, Lingyue Jin, Hafeez ul Haq, Xiaohong Xu and Baoyu Tian. Revealing the Variation and Stability of Bacterial Communities in Tomato Rhizosphere Microbiota. Microorganisms. 2020; 8(2):170. Published 2020 Jan 25. Doi: 10.3390/microorganisms8020170.
• Haq, E. U., Jianjun, H., Li, K., & Haq, H. U. (2020). Human detection and tracking with deep convolutional neural networks under the constrained of noise and occluded scenes. Multimedia Tools and Applications. doi: 10.1007/s11042-020-09579-x
• Haq, E.U., Huang, J., Kang, L. Haq, H. U. Image-based state-of-the-art techniques for the identification and classification of brain diseases: a review. Med Biol Eng Comput (2020). doi.org/10.1007/s11517-020-02256-z