bioRxiv preprint doi: https://doi.org/10.1101/630145; this version posted May 13, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Sequencing and comparative analysis of three Chlorella genomes provide insights into strain-specific adaptation to wastewater Tian Wu1,2,3#, Linzhou Li1,2,4#, Xiaosen Jiang1,2,3, Yong Yang1,2,3, Yanzi Song1,2,3, Liang Chen5, Xun Xu1,2,3, Yue Shen1,2,3,6*, Ying Gu1,2,3,6* 1. BGI-Shenzhen, Shenzhen 518083, China 2. China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China 3. Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen 518120, China 4. School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China 5. Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei 40072, China 6. Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Guangdong, China #: These authors contribute equally to the work. * Correspondence: Dr. Yue Shen, Tel: 86-15013833483. E-mail:
[email protected] Dr. Ying Gu, Tel: 86-13995615916. E-mail:
[email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/630145; this version posted May 13, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Microalgal Chlorella has been demonstrated to process wastewater efficiently from piggery industry, yet optimization through genetic engineering of such a bio-treatment is currently challenging, largely due to the limited data and knowledge in genomics.