Soil microbial mechanisms promoting ultrahigh rice yield

Zhong, Yangquanwei; Hu, Jihong; QiongMei, Xia; Zhang, Shilai; Li, Xin; Pan, Xiangyu; Zhao, Ruoping; Wang, Ruiwu; Yan, Weiming; Shangguan, Zhouping; Hu, Fengyi; Yang, Chunrong; Wang, Wen

doi:10.1016/j.soilbio.2020.107741

Cited by 53 publications

(35 citation statements)

References 58 publications

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“…Nitrospira was the core microorganism shared by V4 and PacBio sequencing, while Bacillus was the core microorganism shared by V4 and LoopSeq sequencing. Nitrospira is the most common genus affecting soil nitrogen metabolism [92][93][94]. Bacillus can utilize multiple electron donors or collectors to enrich nutrients [95] and maintain normal root growth [72].…”

Section: Discussionmentioning

confidence: 99%

Effects of Waterlogging on Soybean Rhizosphere Microbial Community Profiled Using Illumina MiSeq, LoopSeq, and PacBio 16S rRNA Genes Sequences

Ling

Liu

et al. 2021

Preprint

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Background: Waterlogging on the global environment has led to a significant decline in crop yields. However, the response of plant-associated microbes to waterlogging stress on different soils is not known. Moreover, there are few reports on whether this response is influenced by different sequencing methods. In this study, the effects of waterlogging on soybean rhizosphere microbial structure on two types of soil were examined, using a short reading 16S rRNA sequencing variable region V4 and two full-length 16S rRNA sequencing variable regions V1-V9.Results: The results revealed some similarities and differences in three sequencing methods for soybean rhizosphere microbial response to waterlogging stress. Based on CPCoA analysis, all the sequencing methods showed that waterlogging on both types of soil significantly affected the bacterial community structure of the soybean rhizosphere, and increased the relative abundance of Geobacter. However, the full-length sequencing methods had higher classification resolution than short-read sequencing (except phylum level of all sequencing methods and class level of LoopSeq sequencing). Further, analysis on OTU level and network showed that waterlogging increased the abundance of some microorganisms related to nitrogen cycle using V4 sequencing, and microorganisms related to phosphorus cycling when using two full-length sequencing methods. This is in line with the core microbial analysis. Environmental factors affecting the structure of microbial communities differed among sequencing methods.Conclusions: In summary, this piece of work detected the effects of waterlogging on soybean rhizosphere microbes using three sequencing methods. Some functional microbes were enriched in the rhizosphere, which may benefit soybean in resisting waterlogging stress. On the other hand, there were several differences in results among the three sequencing methods which might affect the response of rhizosphere microbial structure to stress. Our analysis of sequencing methods on various levels provides some useful information on environmental samples sequencing.

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Section: Discussionmentioning

confidence: 99%

Effects of Waterlogging on Soybean Rhizosphere Microbial Community Profiled Using Illumina MiSeq, LoopSeq, and PacBio 16S rRNA Genes Sequences

Ling

Liu

et al. 2021

Preprint

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“…Chittora et al [41] mention that, Cyanobacteria is a source of biofertilizers for sustainable agriculture. Biofertilizers can increase the productivity of soils through its role in fixing N from the air [42], mineralization N [43], reducing the nitrogen loss [44], increasing N uptake [45], increasing the availability of N and P nutrients in the soils, releasing hormones [46], promoting plant growth [47], stimulating high expression of nitrate transporter, and increasing yield [48].…”

Section: Rae On the Combination Of Inorganic Fertilizers And Biofertilizersmentioning

confidence: 99%

Implementation of Rice and Maize Cultivation Technology Based on Agronomic Effectiveness

Yustisia¹,

Riyanto²,

Thamrin³

et al. 2021

E3S Web Conf.

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The existing land characteristics and inappropriate management during intensive agricultural practice on upland, swampland, and paddy field are the factors that causing land productivity to be low and decreasing. Alternative efforts to increase the land, rice, and maize productivities could be carried out through the implementation of Site- Specific Nutrient Management technology based on the RAE parameter. This paper presents thoughts on the opportunities for refocusing RAE- based research on agricultural cultivation technology, and research results that have been done.The research of rice and maize with RAE in the upland and paddy field has resulted in a location-specific cultivation technology package. The technologies that have been produced are single NPK inorganic fertilizer package, the combination of single NPK- compound NPK inorganic fertilizers, the combination of single NPK inorganic fertilizer-organic fertilizer, and combination of single NPK inorganic fertilizer-biofertilizer. By using RAE value, these researches have shown a more effective technology package in comparison with standard technology. The technology devices for determining standard fertilization needed to support the research with RAE parameter as the basis are available. The said devices are Upland, Swampland, and Paddy Soil Test Kit. Refocusing research of location-specific fertilization that explicitly using RAE parameter is relevant to promote sustainable agriculture.

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“…1). After obtaining farm owner consent, triplicate soil samples were collected from maize rhizosphere at a depth of approximately 20 cm, area of 2 × 4 m 2 and a distance of 5 m from each other while the bulk samples were collected from an area 10 m adjacent to each sampling site using the method of Enagbonma et al 10 and Zhong et al 7 Soil samples (50 g) were collected for both physicochemical assessment and DNA extraction.…”

Section: Sampling and Soil Propertiesmentioning

confidence: 99%

“…Researchers have reported several genes such as nifH (nitrogen fixation), phl (phloroglucinol synthesis), pqq (pyrroloquinoline quinone synthesis), amoA and amoB (ammonium oxidizing) and many others that are capable of contributing positively to the growth of plants. 2,6,7 To date, researchers have been working tirelessly to characterize and identify functional genes of microorganisms across all environmental types to reveal their input to agroecosystems.…”

Section: Introductionmentioning

confidence: 99%

The diverse functional genes of maize rhizosphere microbiota assessed using shotgun metagenomics

Akinola

Babalola

2020

J Sci Food Agric

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Background: The geographical diversification in chemical, biological and physical properties of plant biospheres instigates heterogenicity in the proliferation of important soil microbiome. Controlling functions and structure of plant rhizosphere from a better understanding and prediction of a plantʼs immediate environment will help assess plant-microbe interplay, improve the productivity of plant ecosystems and improve plant response to adverse soil conditions. Here we characterized functional genes of the microbial community of maize rhizosphere using a culture-independent method. Results: Our metadata showed microbial genes involved in nitrogen fixation, phosphate solubilization, quorum sensing molecules, trehalose, siderophore production, phenazine biosynthesis protein, daunorubicin resistance, acetoin, 1-aminocyclopropane-1-carboxylate deaminase, 4-hydroxybenzoate, disease control and stress-reducing genes (superoxidase dismutase, catalase, peroxidase, etc.). ⊎-Diversity showed that there is a highly significant difference between most of the genes mined from rhizosphere soil samples and surrounding soils.Conclusions: The high relative abundance of stress-reducing genes mined from this study showed that the sampling sites harbor not only important plant-beneficial organisms but also a hotspot for developing bio-fertilizers. Nevertheless, since most of these organisms are unculturable, mapping cultivation strategies for their growth could make them readily available as bioinoculants and possible biotechnological applications in the future.

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Soil microbial mechanisms promoting ultrahigh rice yield

Cited by 53 publications

References 58 publications

Effects of Waterlogging on Soybean Rhizosphere Microbial Community Profiled Using Illumina MiSeq, LoopSeq, and PacBio 16S rRNA Genes Sequences

Effects of Waterlogging on Soybean Rhizosphere Microbial Community Profiled Using Illumina MiSeq, LoopSeq, and PacBio 16S rRNA Genes Sequences

Implementation of Rice and Maize Cultivation Technology Based on Agronomic Effectiveness

The diverse functional genes of maize rhizosphere microbiota assessed using shotgun metagenomics

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