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Woo-Suk Chang 3 Articles
Microbial co-occurrence network in the rhizosphere microbiome: its association with physicochemical properties and soybean yield at a regional scale
Sarbjeet Niraula , Meaghan Rose , Woo-Suk Chang
J. Microbiol. 2022;60(10):986-997.   Published online September 27, 2022
DOI: https://doi.org/10.1007/s12275-022-2363-x
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  • 17 Web of Science
  • 16 Crossref
AbstractAbstract PDF
Microbial communities in the rhizosphere play a crucial role in determining plant growth and crop yield. A few studies have been performed to evaluate the diversity and co-occurrence patterns of rhizosphere microbiomes in soybean (Glycine max) at a regional scale. Here, we used a culture-independent
method
to compare the bacterial communities of the soybean rhizosphere between Nebraska (NE), a high-yield state, and Oklahoma (OK), a low-yield state. It is well known that the rhizosphere microbiome is a subset of microbes that ultimately get colonized by microbial communities from the surrounding bulk soil. Therefore, we hypothesized that differences in the soybean yield are attributed to the variations in the rhizosphere microbes at taxonomic, functional, and community levels. In addition, soil physicochemical properties were also evaluated from each sampling site for comparative study. Our result showed that distinct clusters were formed between NE and OK in terms of their soil physicochemical property. Among 3 primary nutrients (i.e., nitrogen, phosphorus, and potassium), potassium is more positively correlated with the high-yield state NE samples. We also attempted to identify keystone communities that significantly affected the soybean yield using co-occurrence network patterns. Network analysis revealed that communities formed distinct clusters in which members of modules having significantly positive correlations with the soybean yield were more abundant in NE than OK. In addition, we identified the most influential bacteria for the soybean yield in the identified modules. For instance, included are class Anaerolineae, family Micromonosporaceae, genus Plantomyces, and genus Nitrospira in the most complex module (ME9) and genus Rhizobium in ME23. This research would help to further identify a way to increase soybean yield in low-yield states in the U.S. as well as worldwide by reconstructing the microbial communities in the rhizosphere.

Citations

Citations to this article as recorded by  
  • Interaction of soil microbial communities with soil nutrients, enzymes activity, and allelopathic compounds in flue-cured tobacco continuous monocropping field
    Yihong Pan, Tiyuan Xia, Qiulian Peng, Kun Huang, Lijuan Zhou, Guohuan Xiong
    Physiological and Molecular Plant Pathology.2026; 141: 103032.     CrossRef
  • Research Progress on Rhizosphere Microbiota for Controlling Soil-Borne Diseases: Mechanisms, Applications, and Challenges
    Yong Liu, Xiaofang Sun, Jia Lai, Shugu Wei, Yuzhen Sheng, Yinchao Zhang, Qianfang Zhang, Pengsheng Ye, Ling Huang, Hualan Zeng
    Microorganisms.2026; 14(4): 900.     CrossRef
  • Gradient Potassium Application Differentially Regulates Rhizosphere Bacterial and Fungal Communities in Cherry Tomato (Solanum lycopersicum var. cerasiforme)
    Chenpeng Gao, Guigui Wan, Ruifeng Cheng, Quansheng Li, Qinglu Fan, Jinxia Cui, Linnan Wu
    Plants.2026; 15(10): 1545.     CrossRef
  • Role of rhizosphere specific microbiome in enhancing soybean productivity across contrasting soil and crop management systems
    Prem Ranjan, Diptimayhee Das, Vindhya Bundela, Aketi Ramesh, Rakesh Kumar Verma, Raghavendra Nargund, Urmila Manandhar, Rhae Drijber, Rakesh K. Upadhyay, Mahaveer Prasad Sharma
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • Paddy soils with contrasting rice yields harbor distinct microbial networks and candidate key microbes
    Do-Hyun Kim, Sang Yoon Kim, Yeomyeong Lee, Sohee Yoon, Hyerin An, Yu-Na Jeon, Jaekyeong Song, Sujin Kim, Jung Seon Kim, Gyeongjun Cho
    Applied Soil Ecology.2026; 225: 107166.     CrossRef
  • Cover crops legacy modulates soybean rhizosphere microbiome across phenological stages
    Caio César Gomes Freitas, Carolinne Rosa de Carvalho, Rafael Lima Oliveira, Nariane de Andrade, Danilo Ferreira da Silva, Mísia Souza Vieira, Victor Lucas Vieira Prudêncio Araújo, João Henrique dos Santos Ferreira, José Roberto Portugal, Carlos Alexandre
    Applied Soil Ecology.2026; 225: 107220.     CrossRef
  • Plant–Microbiome Interactions for Rhizosphere Health: A Three‐Step Framework for Crop Resilience
    Wei Qiu, Xiufeng Tang, Qirong Shen, Jun Yuan
    Plant, Cell & Environment.2026;[Epub]     CrossRef
  • Soybean productivity can be enhanced by understanding rhizosphere microbiota: evidence from metagenomics analysis from diverse agroecosystems
    Honglei Ren, Huilong Hong, Bire Zha, Sobhi F. Lamlom, Hongmei Qiu, Yongqiang Cao, Rujian Sun, Haorang Wang, Junkui Ma, Hengbin Zhang, Liping Sun, Qing Yang, Changjun Zhou, Xiulin Liu, Xueyang Wang, Chunlei Zhang, Fengyi Zhang, Kezhen Zhao, Rongqiang Yuan,
    Microbiome.2025;[Epub]     CrossRef
  • Impact of Bacterial Pustule Disease Occurrence on Bacterial and Fungal Communities Within Vegetable Soybean Plants
    Choosak Khaengraeng, Wuttichai Mhuantong, Usawadee Chaiprom, Sawita Suwannarat, Nattakorn Kuncharoen, Nutjarin Haewou, Warapon Bunkoed, Tiyakhon Chatnaparat
    Plant Pathology.2025; 74(5): 1228.     CrossRef
  • A molecular conveyor belt-associated protein controls the rotational direction of the bacterial type 9 secretion system
    Abhishek Trivedi, Jacob A. Miratsky, Emma C. Henderson, Abhishek Singharoy, Abhishek Shrivastava, Clay Fuqua
    mBio.2025;[Epub]     CrossRef
  • Discontinuation of glacial meltwater input reshapes the diversity and stability of eukaryotic planktonic microbial communities in glacial lakes
    Xiaodong Li, Qianggong Zhang, Peng Zhang, Qing Yang, Zijian Lu, Yanan Zhou, Meiqi Huang, Guangli Mu, Zhao Xue, Linyuan Lu, Yindong Tong
    Environmental Research.2025; 286: 122785.     CrossRef
  • Rice-microbiome-metabolite crosstalk: Deciphering the defence signatures of traditional rice landraces against blast (Magnaporthe oryzae)
    R. Karan, M.K. Prasannakumar, N. Vamsidharreddy, J. Harish, H.B. Mahesh, C. Manjunatha, K.N. Pallavi, Pramesh Devanna, Selva babu Selvamani, Aditya Narayan Sarangi
    Plant Stress.2025; 18: 101084.     CrossRef
  • The rhizosphere microbiome of 51 potato cultivars with diverse plant growth characteristics
    Benoit Renaud Martins, Viviane Radl, Krzysztof Treder, Dorota Michałowska, Karin Pritsch, Michael Schloter
    FEMS Microbiology Ecology.2024;[Epub]     CrossRef
  • Response of Soil Microorganisms and Phenolic to Pseudostelariae heterophylla Cultivation in Different Soil Types
    Yingying Liu, Dan Wu, Yongjun Kan, Li Zhao, Chang Jiang, Wensheng Pang, Juan Hu, Meilan Zhou
    Eurasian Soil Science.2024; 57(3): 446.     CrossRef
  • Analysis of the rhizosphere bacterial diversity of Angelica dahurica var. formosana from different experimental sites and varieties (strains)
    Meiyan Jiang, Fei Yao, Yunshu Yang, Yang Zhou, Kai Hou, Yinyin Chen, Dongju Feng, Wei Wu
    PeerJ.2023; 11: e15997.     CrossRef
  • Long-term fertilization coupled with rhizobium inoculation promotes soybean yield and alters soil bacterial community composition
    Wanling Wei, Dawei Guan, Mingchao Ma, Xin Jiang, Fenliang Fan, Fangang Meng, Li Li, Baisuo Zhao, Yubin Zhao, Fengming Cao, Huijun Chen, Jun Li
    Frontiers in Microbiology.2023;[Epub]     CrossRef
Role of the extracytoplasmic function sigma factor CarQ in oxidative response of Bradyrhizobium japonicum
Anchana Thaweethawakorn , Dylan Parks , Jae-Seong So , Woo-Suk Chang
J. Microbiol. 2015;53(8):526-534.   Published online July 31, 2015
DOI: https://doi.org/10.1007/s12275-015-5308-9
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  • 3 Crossref
AbstractAbstract PDF
As a nitrogen-fixing bacterium, Bradyrhizobium japonicum can establish a symbiotic relationship with the soybean plant (Glycine max). To be a successful symbiont, B. japonicum must deal with plant defense responses, such as an oxidative burst. Our previous functional genomics study showed that carQ (bll1028) encoding extracytoplasmic function (ECF) sigma factor was highly expressed (107.8-fold induction) under oxidative stress. Little is known about the underlying mechanisms of how CarQ responds to oxidative stress. In this study, a carQ knock-out mutant was constructed using site-specific mutagenesis to identify the role of carQ in the oxidative response of B. japonicum. The carQ mutant showed a longer generation time than the wild type and exhibited significantly decreased survival at 10 mM H2O2 for 10 min of exposure. Surprisingly, there was no significant difference in expression of oxidative stress-responsive genes such as katG and sod between the wild type and carQ mutant. The mutant also showed a significant increase in susceptibility to H2O2 compared to the wild type in the zone inhibition assay. Nodulation phenotypes of the carQ mutant were distinguishable compared to those of the wild type, including lower numbers of nodules, decreased nodule dry weight, decreased plant dry weight, and a lower nitrogen fixation capability. Moreover, desiccation of mutant cells also resulted in significantly lower percent of survival in both early (after 4 h) and late (after 24 h) desiccation periods. Taken together, this information will provide an insight into the role of the ECF sigma factor in B. japonicum to deal with a plant-derived oxidative burst.

Citations

Citations to this article as recorded by  
  • Implication of the σ E Regulon Members OmpO and σ N in the Δ ompA 299–356 -Mediated Decrease of Oxidative Stress Tolerance in St
    Ren-Hsuan Ku, Li-Hua Li, Yi-Fu Liu, En-Wei Hu, Yi-Tsung Lin, Hsu-Feng Lu, Tsuey-Ching Yang, Silvia T. Cardona
    Microbiology Spectrum.2023;[Epub]     CrossRef
  • Identification and Validation of Reference Genes for Expression Analysis in Nitrogen-Fixing Bacteria under Environmental Stress
    Dylan Parks, Christian Peterson, Woo-Suk Chang
    Life.2022; 12(9): 1379.     CrossRef
  • MostSinorhizobium melilotiExtracytoplasmic Function Sigma Factors Control Accessory Functions
    Claus Lang, Melanie J. Barnett, Robert F. Fisher, Lucinda S. Smith, Michelle E. Diodati, Sharon R. Long, Craig D. Ellermeier, Claude Bruand, Sarah Ades, Hans-Martin Fischer
    mSphere.2018;[Epub]     CrossRef
Characterization of MocR, a GntR-like transcriptional regulator, in Bradyrhizobium japonicum: its impact on motility, biofilm formation, and soybean nodulation
May Nyan Taw , Hae-In Lee , Sang-Ho Lee , Woo-Suk Chang
J. Microbiol. 2015;53(8):518-525.   Published online July 31, 2015
DOI: https://doi.org/10.1007/s12275-015-5313-z
  • 954 View
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  • 10 Crossref
AbstractAbstract PDF
Bradyrhizobium japonicum is a Gram-negative soil bacterium that can fix nitrogen into ammonia by developing a symbiotic relationship with the soybean plant. MocR proteins make up a subfamily of GntR superfamily, one of the most widely distributed and prolific groups of the helix-turn-helix transcription factors. In this study, we constructed a mutant strain for mocR (blr6977) to investigate its role in cellular processes and symbiosis in B. japonicum. Although growth rate and morphology of the mutant were indistinguishable from those of the wild type, the mutant showed significant differences in motility and attachment (i.e., biofilm formation) from the wild type. The mutant displayed a decrease in biofilm formation, but was more motile than the wild type. The inactivation of mocR did not affect the number of nodules on soybean roots, but caused delayed nodulation. Delayed nodulation intrigued us to study competitiveness of the mutant infecting soybeans. The mutant was less competitive than the wild type, indicating that delayed nodulation might be due to competitiveness. Gene expressions of other MocR subfamily members were also compared between the wild type and mutant strains. None of the mocR-like genes examined in this study were differentially expressed between both strains.

Citations

Citations to this article as recorded by  
  • Antibiofilm efficacies and mechanism of perillaldehyde against Shewanella putrefaciens
    Wenxiu Zhu, Yuanhang Cheng, Yankun Zhang, Mingxin Li, Yue Teng, Yunqi Gu, Haisong Wang, Xiaodong Xia
    Food Microbiology.2025; 128: 104699.     CrossRef
  • Prevalence and virulence of Vibrio parahaemolyticus isolated from clinical and environmental samples in Huzhou, China
    Peng Zhang, Xiaofang Wu, Lei Ji, Wei Yan, Liping Chen, Zhonghao Lu, Deshun Xu, Yunfeng Zha, Dafang Xu, Fenfen Dong
    BMC Genomics.2024;[Epub]     CrossRef
  • The MocR family transcriptional regulator DnfR has multiple binding sites and regulates Dirammox gene transcription in Alcaligenes faecalis JQ135
    Si‐Qiong Xu, Xiao Wang, Lu Xu, Ke‐Xin Wang, Yin‐Hu Jiang, Fu‐Yin Zhang, Qing Hong, Jian He, Shuang‐Jiang Liu, Ji‐Guo Qiu
    Environmental Microbiology.2023; 25(3): 675.     CrossRef
  • The GntR-like transcriptional regulator HutC involved in motility, biofilm-forming ability, and virulence in Vibrio parahaemolyticus
    Yangyang Li, Weidong Sun, Quan Wang, Ying Yu, Ying Wan, Kai Zhou, Rong Guo, Xiangan Han, Zhaoguo Chen, Weihuan Fang, Wei Jiang
    Microbial Pathogenesis.2022; 167: 105546.     CrossRef
  • Biological and transcriptional studies reveal VmeL is involved in motility, biofilm formation and virulence in Vibrio parahaemolyticus
    Peng-xuan Liu, Xiao-yun Zhang, Quan Wang, Yang-yang Li, Wei-dong Sun, Yu Qi, Kai Zhou, Xian-gan Han, Zhao-guo Chen, Wei-huan Fang, Wei Jiang
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    Haozhe Ruan, Haibo Yu, Jianzhong Xu
    World Journal of Microbiology and Biotechnology.2020;[Epub]     CrossRef
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    Huihui Fu, Peng Jiang, Jin Zhao, Chunhui Wu
    Frontiers in Microbiology.2018;[Epub]     CrossRef
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  • Negative Regulation of Ectoine Uptake and Catabolism in Sinorhizobium meliloti: Characterization of the EhuR Gene
    Qinli Yu, Hanlin Cai, Yanfeng Zhang, Yongzhi He, Lincai Chen, Justin Merritt, Shan Zhang, Zhiyang Dong, Anke Becker
    Journal of Bacteriology.2017;[Epub]     CrossRef
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