A method was developed for enriching bacterial cells from soybean stems which was recalcitrant for a culture-independent analysis of bacterial community due to the interference with plant DNA. Stem homogenates were fractionated by a series of differential centrifugations followed by a Nycodenz density gradient centrifugation. The efficiency of bacterial cell enrichment was assessed by ribosomal intergenic spacer analysis (RISA). The intensity and the number of bacterial amplicons of RISA were markedly increased in the DNA extracted from the enriched bacterial cells compared to that in the DNA directly extracted from soybean stems. The phylogenetic diversity of the enriched bacterial cells was evaluated by analyzing a clone library of 16S rRNA gene in comparison with those of the culturable fractions of the enriched and non-enriched stem-associated bacteria, endophytic bacteria, and epiphytic bacteria. The results indicated that the method was able to enrich both endophytic and epiphytic bacteria from soybean stems, and was useful to assess the bacterial diversity based on a 16S rRNA gene clone library. When the sequence data from all clones (1,332 sequences) were combined, 72 operational taxonomic units were affiliated with Proteobacteria (Alpha-, Beta-, and Gammaproteobacteria), Actinobacteria, Firmicutes, and Bacteroidetes, which also provided the most comprehensive set of data on the bacterial diversity in the aerial parts of soybeans.
Reduced fertilizer usage is one of the objectives of field management in the pursuit of sustainable agriculture. Here, we report on shifts of bacterial communities in paddy rice ecosystems with low (LN), standard (SN), and high (HN) levels of N fertilizer application (0, 30, and 300 kg N ha−1, respectively). The LN field had received no N fertilizer for 5 years prior to the experiment. The LN and HN plants showed a 50% decrease and a 60% increase in biomass compared with the SN plant biomass, respectively. Analyses of 16S rRNA genes suggested shifts of bacterial communities between the LN and SN root microbiomes, which were statistically confirmed by metagenome analyses. The relative abundances of Burkholderia, Bradyrhizobium and Methylosinus were significantly increased in root microbiome of the LN field relative to the SN field. Conversely, the abundance of methanogenic archaea was reduced in the LN field relative to the SN field. The functional genes for methane oxidation (pmo and mmo) and plant association (acdS and iaaMH) were significantly abundant in the LN root microbiome. Quantitative PCR of pmoA/mcrA genes and a 13C methane experiment provided evidence of more active methane oxidation in the rice roots of the LN field. In addition, functional genes for the metabolism of N, S, Fe, and aromatic compounds were more abundant in the LN root microbiome. These results suggest that low-N-fertilizer management is an important factor in shaping the microbial community structure containing key microbes for plant associations and biogeochemical processes in paddy rice ecosystems.
The diversity of stem-associated bacteria of non-nodulated (Nod À ), wild-type nodulated (Nod þ ) and hypernodulated (Nod þ þ ) soybeans were evaluated by clone library analyses of the 16S ribosomal RNA gene. Soybeans were dressed with standard nitrogen (SN) fertilization (15 kg N ha -1 ) and heavy nitrogen (HN) fertilization (615 kg N ha -1 ). The relative abundance of Alphaproteobacteria in Nod þ soybeans (66%) was smaller than that in Nod À and Nod þ þ soybeans (75-76%) under SN fertilization, whereas that of Gammaproteobacteria showed the opposite pattern (23% in Nod þ and 12-16% in Nod À and Nod þ þ soybeans). Principal coordinate analysis showed that the bacterial communities of Nod À and Nod þ þ soybeans were more similar to each other than to that of Nod þ soybeans under SN fertilization. HN fertilization increased the relative abundance of Gammaproteobacteria in all nodulation phenotypes (33-57%) and caused drastic shifts of the bacterial community. The clustering analyses identified a subset of operational taxonomic units (OTUs) at the species level in Alpha-and Gammaproteobacteria responding to both the nodulation phenotypes and nitrogen fertilization levels. Meanwhile, the abundance of Betaproteobacteria was relatively constant in all libraries constructed under these environmental conditions. The relative abundances of two OTUs in Alphaproteobacteria (Aurantimonas sp. and Methylobacterium sp.) were especially sensitive to nodulation phenotype and were drastically decreased under HN fertilization. These results suggested that a subpopulation of proteobacteria in soybeans is controlled in a similar manner through both the regulation systems of plant-rhizobia symbiosis and the nitrogen signaling pathway in plants.
Diverse microorganisms are living as endophytes in plant tissues and as epiphytes on plant surfaces in nature. Questions about driving forces shaping the microbial community associated with plants remain unanswered. Because legumes developed systems to attain endosymbioses with rhizobia as well as mycorrhizae during their evolution, the above questions can be addressed using legume mutants relevant to genes for symbiosis. Analytical methods for the microbial community have recently been advanced by enrichment procedures of plant-associated microbes and culture-independent analyses targeting the small subunit of rRNA in microbial ecology. In this review, we first deal with interdisciplinary works on the global diversity of bacteria associated with field-grown soybeans with different nodulation genotypes and nitrogen application. A subpopulation of Proteobacteria in aerial parts of soybean shoots was likely to be regulated through both the autoregulation system for plant-rhizobium symbiosis and the nitrogen signaling pathway, suggesting that legumes accommodate a taxonomically characteristic microbial community through unknown plant-microbe communications. In addition to the community views, we then show multiphasic analysis of a beneficial rice endophyte for comparative bacterial genomics and plant responses. The significance and perspectives of community- and genome-based approaches are discussed to achieve a better understanding of plant-microbe interactions.
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