- 白洋
- 研究员
白洋，博士，研究员，博士生导师 2005年毕业于武汉大学，2007年获得武汉大学植物发育生物学硕士学位，2010年在德国科隆大学获得植物发育生物学博士学位，2011—2015年博士后期间在德国马克斯普朗克植物育种研究所进行植物根系微生物组学的研究。2016年 5月至今，任中国科学院遗传与发育生物学所研究员。2017年入选中组部“青年千人计划”。目前主要研究根系微生物组在植物抗病抗逆、营养高效等过程中的功能。研究内容： 自然界中，健康植物的根系和叶面都富集的大量且组成特异的微生物群体。这些微生物与植物之间达到一种稳定的平衡，并参与植物的多项生理过程。实验室结合高通量微生物培养，宏基因组数据分析和微生物菌群重组等技术，系统地研究根系微生物群体在植物抗病，营养吸收，生长发育等过程中的功能和分子机理。植物微生物组资源库 在植物微生物组领域，目前主流的扩增子、宏基因组分析方法，虽然可以获得研究对象的菌群和相关功能描述，但离因果关系还差的很远，最主要原因是缺少植物微生物组的菌种资源。本研究组对植物根、叶相关细菌、真菌进行大规模分离、培养，为微生物组功能性研究铺盖了道路，同时获得的大量细菌、真菌基因组作为参考序列可明显改善宏基因组分析结果的准确性。作物根系微生物组在抗病、营养高效中作用 己有研究表明微生物组在植物抗病、营养吸收等方面有作用。本研究组以水稻、小麦等主要农作物为研究材料，联合大规模培养组学和宏基因组学技术，深入挖掘作物根系微生物组在抗病、营养高效中作用，并致力于推进可持续农业的发展。宏基因组学研究方法 宏基因组学研究，主要包括扩增子、宏基因组、宏转录组、宏蛋白组、宏代谢组、培养组学等研究方法。本课题组主要关注两个方面，一是对现有研究方法的优化，以获得更合理的实验结果以及生物学现象的解释；二是人工重组微生物组评估体系建立，以便系统评估现有方法在各应用中的优点、不足、适用范围，以及可改进的方面。近期表性论文：王超, 白洋. (2018). 玉米可利用气生根进行高效生物固氮. 中国科学: 生命科学(SCIENTIA SINICA Vitae). DOI: 10.1360/N052018-00215Bolyen, E., Rideout, J.R., Dillon, M.R., Bokulich, N.A., Abnet, C., Al-Ghalith, G.A., Alexander, H., Alm, E.J., Arumugam, M., Asnicar, F., Bai, Y., Bisanz, J.E., Bittinger, K., Brejnrod, A., Brislawn, C.J., Brown, C.T., Callahan, B.J., Caraballo-Rodríguez, A.M., Chase, J., Cope, E., Da Silva, R., Dorrestein, P.C., Douglas, G.M., Durall, D.M., Duvallet, C., Edwardson, C.F., Ernst, M., Estaki, M., Fouquier, J., Gauglitz, J.M., Gibson, D.L., Gonzalez, A., Gorlick, K., Guo, J., Hillmann, B., Holmes, S., Holste, H., Huttenhower, C., Huttley, G., Janssen, S., Jarmusch, A.K., Jiang, L., Kaehler, B., Kang, K.B., Keefe, C.R., Keim, P., Kelley, S.T., Knights, D., Koester, I., Kosciolek, T., Kreps, J., Langille, M.G.I., Lee, J., Ley, R., Liu, Y.-X., Loftfield, E., Lozupone, C., Maher, M., Marotz, C., Martin, B.D., McDonald, D., McIver, L.J., Melnik, A.V., Metcalf, J.L., Morgan, S.C., Morton, J., Naimey, A.T., Navas-Molina, J.A., Nothias, L.F., Orchanian, S.B., Pearson, T., Peoples, S.L., Petras, D., Preuss, M.L., Pruesse, E., Rasmussen, L.B., Rivers, A., Robeson, I.I.M.S., Rosenthal, P., Segata, N., Shaffer, M., Shiffer, A., Sinha, R., Song, S.J., Spear, J.R., Swafford, A.D., Thompson, L.R., Torres, P.J., Trinh, P., Tripathi, A., Turnbaugh, P.J., Ul-Hasan, S., van der Hooft, J.J.J., Vargas, F., Vázquez-Baeza, Y., Vogtmann, E., von Hippel, M., Walters, W., Wan, Y., Wang, M., Warren, J., Weber, K.C., Williamson, C.H.D., Willis, A.D., Xu, Z.Z., Zaneveld, J.R., Zhang, Y., Knight, R., and Caporaso, J.G. (2018). QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science. PeerJ Preprints 6, e27295v27291. DOI: 10.7287/peerj.preprints.27295v1 Hirokazu Toju, Kabir G. Peay, Masato Yamamichi, Kazuhiko Narisawa, Kei Hiruma, Ken Naito, Shinji Fukuda, Masayuki Ushio, Shinji Nakaoka, Yusuke Onoda, Kentaro Yoshida, Klaus Schlaeppi, Yang Bai, Ryo Sugiura, Yasunori Ichihashi, Kiwamu Minamisawa & E. Toby Kiers. (2018) Core microbiomes for sustainable agroecosystems, Nature Plants 4, 247-257.Zhang Jingying#, Zhang Na#, Liu Yong-Xin#, Zhang Xiaoning, Hu Bin, Qin Yuan, Xu Haoran, Wang Hui, Guo Xiaoxuan, Qian Jingmei, Zhang Pengfan, Jin Tao*, Chu Chengcai*, Bai Yang*. (2018) Root microbiota shift in rice correlates with resident time in the field and developmental stage, Science China Life Sciences, 61, 613-621. Cover ArticleFan Kunkun#, Weisenhorn Pamela, Gilbert Jack A, Shi Yu, Bai Yang, Chu, Haiyan*. (2018) Soil pH correlates with the co-occurrence and assemblage process of diazotrophic communities in rhizosphere and bulk soils of wheat fields, Soil Biology and Biochemistry, 121: 185-192. DOI: 10.1016/j.soilbio.2018.03.017 Wang Wei#, Hu Bin#, Yuan Dingyang, Liu Yongqiang, Che Ronghui, Hu Yingchun, Ou Shujun, Zhang Zhihua, Wang Hongru, Li Hua, Jiang Zhimin, Zhang Zhengli, Gao Xiaokai, Qiu Yahong, Meng Xiangbing, Liu Yongxin, Bai Yang, Liang Yan, Wang Yi-Qin, Zhang Lianhe, Li Legong, Sodmergen Sodmergen, Jing Hai-Chun, Li Jiayang, Chu Chengcai*. (2018) Expression of the Nitrate Transporter Gene OsNRT1.1A/OsNPF6.3 Confers High Yield and Early Maturation in Rice, The Plant Cell, 30, 638-651.Tao Jin#, Yayu Wang#, Yueying Huang#, Jin Xu#, Pengfan Zhang, Nian Wang, Xin Liu, Haiyan Chu, Guang Liu, Honggang Jiang, Yuzhen Li, Jing Xu, Karsten Kristiansen, Liang Xiao, Yunzeng Zhang, Gengyun Zhang, Guohua Du, Houbao Zhang, Hongfeng Zou, Haifeng Zhang, Zhuye Jie, Suisha Liang, Huijue Jia, Jingwang Wan, Dechun Lin, Jinying Li, Guangyi Fan, Huanming Yang, Jian Wang, Yang Bai*, Xun Xu*. (2017) Taxonomic structure and functional association of foxtail millet root microbiome, GigaScience, gix089 Alexander Sczyrba#, Peter Hofmann#, Peter Belmann#, David Koslicki, Stefan Janssen, Johannes Droege, Ivan Gregor, Stephan Majda, Jessika Fiedler, Eik Dahms, Andreas Bremges, Adrian Fritz, Ruben Garrido-Oter, Tue Sparholt Jorgensen, Nicole Shapiro, Philip D Blood, Alexey Gurevich, Yang Bai, Dmitrij Turaev, Matthew Z DeMaere, Rayan Chikhi, Niranjan Nagarajan, Christopher Quince, Fernando Meyer, Monika Balvociute, Lars Hestbjerg Hansen, Soren J Sorensen, Burton K H Chia, Bertrand Denis, Jeff L Froula, Zhong Wang, Robert Egan, Dongwan Don Kang, Jeffrey J Cook, Charles Deltel, Michael Beckstette, Claire Lemaitre, Pierre Peterlongo, Guillaume Rizk, Dominique Lavenier, Yu-Wei Wu, Steven W Singer, Chirag Jain, Marc Strous, Heiner Klingenberg, Peter Meinicke, Michael Barton, Thomas Lingner, Hsin-Hung Lin, Yu-Chieh Liao, Genivaldo Gueiros Z Silva, Daniel A Cuevas, Robert A Edwards, Surya Saha, Vitor C Piro, Bernhard Y Renard, Mihai Pop, Hans-Peter Klenk, Markus Goeker, Nikos C Kyrpides, Tanja Woyke, Julia A Vorholt, Paul Schulze-Lefert, Edward M Rubin, Aaron E Darling, Thomas Rattei, Alice C McHardy*. (2017) Critical Assessment of Metagenome Interpretation ？ a benchmark of computational metagenomics software, Nature Methods 14, 1063-1071.Muller, BD., Vogel, C., Bai, Y. and Vorholt, AJ. (2016) The plant microbiota: systems and synthetic biology insights and perspectives. Annual Review of Genetics .Bai, Y.#, Müller, BD.#, Srinivas, G.#, Garrido-Oter, R.#, Potthoff, E., Rott, M., Dombrowski, N., Münch, CP., Spaepen S., Remus-Emsermann, M., Hüttel, B., McHardy, AC., Vorholt, AJ.*, and Schulze-Lefert, P*. (2015) Functional overlap of the Arabidopsis leaf and root microbiotas. Nature 528, 364-369.Highlighted in: news and views in Nature 2015 Dec. 02Zamioudis, C., Korteland, J., Van Pelt JA., van Hamersveld M, Dombrowski, N., Bai, Y., Hanson, J., Van Verk MC., Ling, HQ., Schulze-Lefert, P., and Pieterse, C. (2015). Rhizobacterial volatiles and photosynthesis-related signals coordinate MYB72 in Arabidopsis roots during onset of induced systemic resistance and iron deficiency responses. Plant J 86, 309-322.Bai, Y.#, Vaddepalli, P.#, Fulton, L.#, Bhasin, H.#, Hulskamp, M., and Schneitz, K. (2013). ANGUSTIFOLIA is a central component of tissue morphogenesis mediated by the atypical receptor-like kinase STRUBBELIG. BMC Plant Biol 13, 16.Bai, Y.#, Falk, S.#, Schnittger, A.#, Jakoby, M.J., and Hulskamp, M. (2010). Tissue layer specific regulation of leaf length and width in Arabidopsis as revealed by the cell autonomous action of ANGUSTIFOLIA. Plant J 61, 191-199.
