Xiaojue Peng1,2, Jian Xie1, Wenzhuo Li1, Hongwei Xie3, Yaohui Cai3, Xia Ding1,2. 1. School of Life Sciences, Nanchang University, Nanchang, Jiangxi, China. 2. Jiangxi Provincial People's Hospital, Nanchang University, Nanchang, Jiangxi, China. 3. Jiangxi Super-Rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi, China.
Abstract
Compared with root-associated habitats, little is known about the role of microbiota inside other rice organs, especially the rhizome of perennial wild rice, and this information may be of importance for agriculture. Oryza longistaminata is perennial wild rice with various agronomically valuable traits, including large biomass on poor soils, high nitrogen use efficiency, and resistance to insect pests and disease. Here, we compared the endophytic bacterial and archaeal communities and network structures of the rhizome to other compartments of O. longistaminata using 16S rRNA gene sequencing. Diverse microbiota and significant variation in community structure were identified among different compartments of O. longistaminata. The rhizome microbial community showed low taxonomic and phylogenetic diversity as well as the lowest network complexity among four compartments. Rhizomes exhibited less phylogenetic clustering than roots and leaves, but similar phylogenetic clustering with stems. Streptococcus, Bacillus, and Methylobacteriaceae were the major genera in the rhizome. ASVs belonging to the Enhydrobacter, YS2, and Roseburia are specifically present in the rhizome. The relative abundance of Methylobacteriaceae in the rhizome and stem was significantly higher than that in leaf and root. Noteworthy type II methanotrophs were observed across all compartments, including the dominant Methylobacteriaceae, which potentially benefits the host by facilitating CH4-dependent N2 fixation under nitrogen nutrient-poor conditions. Our data offers a robust knowledge of host and microbiome interactions across various compartments and lends guidelines to the investigation of adaptation mechanisms of O. longistaminata in nutrient-poor environments for biofertilizer development in agriculture.
Compared with root-associated habitats, little is known about the role of microbiota inside other rice organs, especially the rhizome of perennial pan class="Species">wild rice, and this information may be of importance for agriculture. Oryza longistaminata is perennial wild rice with various agronomically valuable traits, including large biomass on poor soils, high nitrogen use efficiency, and resistance to insect pests and disease. Here, we compared the endophytic bacterial and archaeal communities and network structures of the rhizome to other compartments of O. longistaminata using 16S rRNA gene sequencing. Diverse microbiota and significant variation in community structure were identified among different compartments of O. longistaminata. The rhizome microbial community showed low taxonomic and phylogenetic diversity as well as the lowest network complexity among four compartments. Rhizomes exhibited less phylogenetic clustering than roots and leaves, but similar phylogenetic clustering with stems. Streptococcus, Bacillus, and Methylobacteriaceae were the major genera in the rhizome. ASVs belonging to the Enhydrobacter, YS2, and Roseburia are specifically present in the rhizome. The relative abundance of Methylobacteriaceae in the rhizome and stem was significantly higher than that in leaf and root. Noteworthy type II methanotrophs were observed across all compartments, including the dominant Methylobacteriaceae, which potentially benefits the host by facilitating CH4-dependent N2 fixation under nitrogen nutrient-poor conditions. Our data offers a robust knowledge of host and microbiome interactions across various compartments and lends guidelines to the investigation of adaptation mechanisms of O. longistaminata in nutrient-poor environments for biofertilizer development in agriculture.
Authors: Joshua C Stein; Yeisoo Yu; Dario Copetti; Derrick J Zwickl; Li Zhang; Chengjun Zhang; Kapeel Chougule; Dongying Gao; Aiko Iwata; Jose Luis Goicoechea; Sharon Wei; Jun Wang; Yi Liao; Muhua Wang; Julie Jacquemin; Claude Becker; Dave Kudrna; Jianwei Zhang; Carlos E M Londono; Xiang Song; Seunghee Lee; Paul Sanchez; Andrea Zuccolo; Jetty S S Ammiraju; Jayson Talag; Ann Danowitz; Luis F Rivera; Andrea R Gschwend; Christos Noutsos; Cheng-Chieh Wu; Shu-Min Kao; Jhih-Wun Zeng; Fu-Jin Wei; Qiang Zhao; Qi Feng; Moaine El Baidouri; Marie-Christine Carpentier; Eric Lasserre; Richard Cooke; Daniel da Rosa Farias; Luciano Carlos da Maia; Railson S Dos Santos; Kevin G Nyberg; Kenneth L McNally; Ramil Mauleon; Nickolai Alexandrov; Jeremy Schmutz; Dave Flowers; Chuanzhu Fan; Detlef Weigel; Kshirod K Jena; Thomas Wicker; Mingsheng Chen; Bin Han; Robert Henry; Yue-Ie C Hsing; Nori Kurata; Antonio Costa de Oliveira; Olivier Panaud; Scott A Jackson; Carlos A Machado; Michael J Sanderson; Manyuan Long; Doreen Ware; Rod A Wing Journal: Nat Genet Date: 2018-01-22 Impact factor: 38.330
Authors: Christopher Staley; Abigail P Ferrieri; Malak M Tfaily; Yaya Cui; Rosalie K Chu; Ping Wang; Jared B Shaw; Charles K Ansong; Heather Brewer; Angela D Norbeck; Meng Markillie; Fernanda do Amaral; Thalita Tuleski; Tomás Pellizzaro; Beverly Agtuca; Richard Ferrieri; Susannah G Tringe; Ljiljana Paša-Tolić; Gary Stacey; Michael J Sadowsky Journal: Microbiome Date: 2017-06-24 Impact factor: 14.650
Authors: Muhua Wang; Yeisoo Yu; Georg Haberer; Pradeep Reddy Marri; Chuanzhu Fan; Jose Luis Goicoechea; Andrea Zuccolo; Xiang Song; Dave Kudrna; Jetty S S Ammiraju; Rosa Maria Cossu; Carlos Maldonado; Jinfeng Chen; Seunghee Lee; Nick Sisneros; Kristi de Baynast; Wolfgang Golser; Marina Wissotski; Woojin Kim; Paul Sanchez; Marie-Noelle Ndjiondjop; Kayode Sanni; Manyuan Long; Judith Carney; Olivier Panaud; Thomas Wicker; Carlos A Machado; Mingsheng Chen; Klaus F X Mayer; Steve Rounsley; Rod A Wing Journal: Nat Genet Date: 2014-07-27 Impact factor: 38.330