Growth Stage-dependent Bacterial Communities in Soybean Plant Tissues: &lt;i&gt;Methylorubrum&lt;/i&gt; Transiently Dominated in the Flowering Stage of the Soybean Shoot

Hara, Shintaro; Minamisawa, Kiwamu

doi:10.1264/jsme2.me19067

Cited by 19 publications

(18 citation statements)

References 51 publications

(61 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Disruption of genes responsible for synthesis of specialized metabolites such as triterpenes, sesterterpenes, and coumarins in Arabidopsis revealed the functions of these metabolites in modulating microbial communities (Chen et al, 2019;Huang et al, 2019;Stringlis et al, 2018;Voges, Bai, Schulze-Lefert, & Sattely, 2019). In soybean, changes in rhizosphere microbial communities during development and continuous cropping have been analyzed (Hara, Matsuda, & Minamisawa, 2019;Liu, Hewezi et al, 2019;Liu, Pan et al, 2019;Sugiyama, Ueda, Zushi, Takase, & Yazaki, 2014). We recently reported that daidzein, the major isoflavone secreted from soybean roots, diffuses within a few millimeters from the root surface and shapes the soybean rhizosphere bacterial communities (Okutani et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Secretion dynamics of soyasaponins in soybean roots and effects to modify the bacterial composition

et al. 2020

View full text Add to dashboard Cite

The term "rhizosphere" was coined by L. Hiltner in 1904 and refers to "the zone of soil surrounding the root which is affected by it" (Hartmann, Rothballer, & Schmid, 2008, Hiltner, 1904). Plant roots function as an anchor that supports the plant body and absorb nutrients and water; they also secrete a variety of plant-derived metabolites into the rhizosphere, which include low-molecular weight compounds, such as amino acids, sugars, phenolics, terpenoids, and lipids, and high-molecular weight compounds, such as proteins, polysaccharides, and nucleic acids, depending on the growth stage and environmental conditions (Massalha, Korenblum, Tholl, & Aharoni, 2017). The amount of these root exudates is large (up to 40% of all carbon fixed by photosynthesis can be released from plant roots

show abstract

Section: Introductionmentioning

confidence: 99%

Secretion dynamics of soyasaponins in soybean roots and effects to modify the bacterial composition

et al. 2020

View full text Add to dashboard Cite

show abstract

“…2019 ). Moreover, recent time-series physiological studies in various plant species have demonstrated that longer physiological responses often depend on genetic variations, as well as on plant age and stage ( Hara et al. 2019 , Ohnishi et al.…”

Section: Assessing Plant–environment Interactions Over Timementioning

confidence: 99%

Decoding Plant–Environment Interactions That Influence Crop Agronomic Traits

Mochida

Nishii

Hirayama

2020

Plant and Cell Physiology

View full text Add to dashboard Cite

To ensure food security in the face of increasing global demand due to population growth and progressive urbanization, it will be crucial to integrate emerging technologies in multiple disciplines to accelerate overall throughput of gene discovery and crop breeding. Plant agronomic traits often appear during the plants' later growth stages due to the cumulative effects of their lifetime interactions with the environment. Therefore, decoding plant–environment interactions by elucidating plants' temporal physiological responses to environmental changes throughout their lifespans will facilitate the identification of genetic and environmental factors, timing, and pathways that influence complex end-point agronomic traits, such as yield. Herein, we discuss the expected role of the life-course approach to monitoring plant and crop health status in improving crop productivity by enhancing understanding of plant–environment interaction. We review recent advances in analytical technologies for monitoring health status in plants based on multi-omics analyses and strategies for integrating heterogeneous datasets from multiple omics areas to identify informative factors associated with traits of interest. Additionally, we showcase emerging phenomics techniques that enable the noninvasive and continuous monitoring of plant growth by various means, including 3D phenotyping, plant root phenotyping, implantable/injectable sensors, and affordable phenotyping devices. Finally, we present an integrated review of analytical technologies and applications for monitoring plant growth, developed across disciplines such as plant science, data science, and sensors and Internet-of-Things (IoT) technologies to improve plant productivity.

show abstract

“…Data on nif gene expression and nitrogenase activity in non-legume diazotrophs have provided a snapshot of different plant contexts such as plant growth stage [20] and circadian rhythm [111] under fluctuations of carbon supply from plants. Time series analysis based on the development of sequence technologies [112,113,114] would reveal the dynamics of truly functional diazotrophs in plant tissues and rhizosphere.…”

Section: Research Perspectivesmentioning

confidence: 99%

Molecular Analyses of the Distribution and Function of Diazotrophic Rhizobia and Methanotrophs in the Tissues and Rhizosphere of Non-Leguminous Plants

Yoneyama

Terakado-Tonooka

Bao

et al. 2019

Plants

View full text Add to dashboard Cite

Biological nitrogen fixation (BNF) by plants and its bacterial associations represent an important natural system for capturing atmospheric dinitrogen (N2) and processing it into a reactive form of nitrogen through enzymatic reduction. The study of BNF in non-leguminous plants has been difficult compared to nodule-localized BNF in leguminous plants because of the diverse sites of N2 fixation in non-leguminous plants. Identification of the involved N2-fixing bacteria has also been difficult because the major nitrogen fixers were often lost during isolation attempts. The past 20 years of molecular analyses has led to the identification of N2 fixation sites and active nitrogen fixers in tissues and the rhizosphere of non-leguminous plants. Here, we examined BNF hotspots in six reported non-leguminous plants. Novel rhizobia and methanotrophs were found to be abundantly present in the free-living state at sites where carbon and energy sources were predominantly available. In the carbon-rich apoplasts of plant tissues, rhizobia such as Bradyrhizobium spp. microaerobically fix N2. In paddy rice fields, methane molecules generated under anoxia are oxidized by xylem aerenchyma-transported oxygen with the simultaneous fixation of N2 by methane-oxidizing methanotrophs. We discuss the effective functions of the rhizobia and methanotrophs in non-legumes for the acquisition of fixed nitrogen in addition to research perspectives.

show abstract

Growth Stage-dependent Bacterial Communities in Soybean Plant Tissues: <i>Methylorubrum</i> Transiently Dominated in the Flowering Stage of the Soybean Shoot

Cited by 19 publications

References 51 publications

Secretion dynamics of soyasaponins in soybean roots and effects to modify the bacterial composition

Secretion dynamics of soyasaponins in soybean roots and effects to modify the bacterial composition

Decoding Plant–Environment Interactions That Influence Crop Agronomic Traits

Molecular Analyses of the Distribution and Function of Diazotrophic Rhizobia and Methanotrophs in the Tissues and Rhizosphere of Non-Leguminous Plants

Contact Info

Product

Resources

About