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Host niche, genotype, and field location shape the diversity and composition of the soybean microbiome
YANG Hong-jun, YE Wen-wu, YU Ze, SHEN Wei-liang, LI Su-zhen, WANG Xing, CHEN Jia-jia, WANG Yuan-chao, ZHENG Xiao-bo
2023, 22 (8): 2412-2425.   DOI: 10.1016/j.jia.2023.01.006
Abstract281)      PDF in ScienceDirect      
Plant-associated microbes represent a key determinant of plant fitness through acquiring nutrients, promoting growth, and resisting to abiotic and biotic stresses.  However, an extensive characterization of the bacterial and fungal microbiomes present in different plant compartments of soybean in field conditions has remained elusive.  In this study, we investigated the effects of four niches (roots, stems, leaves, and pods), four genotypes (Andou 203, Hedou 12, Sanning 16, and Zhonghuang 13), and three field locations (Jining, Suzhou, and Xuzhou) on the diversity and composition of bacterial and fungal communities in soybean using 16S and internal transcribed spacer rRNA amplicon sequencing, respectively.  The soybean microbiome significantly differed across organs.  Host genotypes explained more variation in stem bacterial community composition and leaf fungal community composition.  Field location significantly affected the composition of bacterial communities in all compartments and the effects were stronger in the root and stem than in the leaf and pod, whereas field location explained more variation in stem and leaf fungal community composition than in the root and pod.  The relative abundances of potential soybean fungal pathogens also differed among host organs and genotypes, reflecting the niches of these microbes in the host and probably their compatibility to the host genotypes.  Systematic profiling of the microbiome composition and diversity will aid the development of plant protection technologies to benefit soybean health.  
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A LAMP-assay-based specific microbiota analysis reveals community dynamics and potential interactions of 13 major soybean root pathogens
YE Wen-wu, ZENG Dan-dan, XU Miao, YANG Jin, MA Jia-xin, WANG Yuan-chao, ZHENG Xiao-bo
2020, 19 (8): 2056-2063.   DOI: 10.1016/S2095-3119(19)62855-8
Abstract168)      PDF in ScienceDirect      
Soybean root diseases are associated with numerous fungal and oomycete pathogens; however, the community dynamics and interactions of these pathogens are largely unknown.  We performed 13 loop-mediated isothermal amplification (LAMP) assays that targeted specific soybean root pathogens, and traditional isolation assays.  A total of 159 samples were collected from three locations in the Huang-Huai-Hai region of China at three soybean growth stages (30, 60, and 90 days after planting) in 2016.  In LAMP results, we found that pathogen communities differed slightly among locations, but changed dramatically between soybean growth stages.  Phytophthora sojae, Rhizoctonia solani, and Fusarium oxysporum were most frequently detected at the early stage, whereas Phomopsis longicolla, Fusarium equiseti, and Fusarium virguliforme were most common in the later stages.  Most samples (86%) contained two to six pathogen species.  Interestingly, the less detectable species tended to exist in the samples containing more detected species, and some pathogens preferentially co-occurred in diseased tissue, including P. sojaeR. solaniF. oxysporum and F. virguliformeCalonectria ilicicola, implying potential interactions during infection.  The LAMP detection results were confirmed by traditional isolation methods.  The isolated strains exhibited different virulence to soybean, further implying a beneficial interaction among some pathogens.
 
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