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Open AccessJournal ArticleDOI

Genomic Analysis of Endophytic Bacillus cereus T4S and Its Plant Growth-Promoting Traits

TLDR
In this article, the authors presented a whole-genome sequence of agriculturally important B. cereus strain T4S isolated from sunflower plants, which yielded 7,255,762 bp sequence reads, 151 bp average read length, 5,945,881 bp genome size, 56 tRNA, 63 rRNA, and G + C content of 34.8%.
Abstract
Insights into plant endophytic microbes and their exploration in agriculture have provided opportunities for sustainable plant health and food safety. Notable endophytic Bacillus species with plant growth-promoting traits have been documented; nevertheless, information on genome analysis of B. cereus associated with the sunflower in South Africa has not been studied. Therefore, we present whole-genome sequence of agriculturally important B. cereus strain T4S isolated from sunflower plants. The NextSeq Illumina sequencing yielded 7,255,762 bp sequence reads, 151 bp average read length, 5,945,881 bp genome size, 56 tRNA, 63 rRNA, and G + C content of 34.8%. The phylogeny analysis of strain T4S was similar to B. cereus NJ-W. Secondary metabolites, such as petrobactin, bacillibactin, bacitracin, molybdenum factor, zwittermicin, and fengycin underlining bacterial biocontrol efficacy against phytopathogens were found in the T4S genome. The predicted novel genes in the bacterial genome mediating the complex metabolic pathways can provide a genetic basis in understanding endosphere biology and their multiple functions thereof in crop improvement. Interestingly, seed and root inoculation with strain T4S contributed to sunflower yield under greenhouse experiments. Hence, the detection of notable genes specific for plant growth promotion as validated under in vitro screening, promisingly, suggests the relevance of strain T4S in agricultural biotechnology.

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Journal ArticleDOI

Plant growth-promoting root-colonizing bacterial endophytes

TL;DR: The genomic insights into endosphere biology can provide detail structural diversity and functional profiling of endophytic microbiome for possible recommendations in future agriculture as a source of the organic amendment, and this review emphasis on the root-colonizing endophytes.
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Meta-omics of endophytic microbes in agricultural biotechnology

TL;DR: In this paper , a review of the endophytic bacteria and fungi, structural diversity, meta-omics approaches, and their agricultural, biotechnological, and industrial importance is presented.
Journal ArticleDOI

Strategies to Enhance the Use of Endophytes as Bioinoculants in Agriculture

TL;DR: The need to unravel microbial strategies for yield enhancement and pathogen suppressiveness have become imperative in agricultural biotechnology and this review focuses on the endophytic microbiome, mechanisms, factors influencing endophyte recruitment, and strategies for possible exploration as bioinoculants.
Journal ArticleDOI

The plant endosphere-hidden treasures: a review of fungal endophytes.

TL;DR: A review of fungal endophytes, ecology, their bioactive compounds, and exploration with the biosystematics approach is presented in this article, where the authors provide an overview of the fungal ecology, ecology and their bio-active compounds.
Journal ArticleDOI

The bacterial world inside the plant

TL;DR: In this article , the authors provide an overview of the current research on endophytes in plant organs, endophyte colonization, nutrient efficiency use and crop nutrition, inoculation with synergistic bacteria, the effect of inoculum concentration on plant root microbiota and synthetic communities.
References
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Trimmomatic: a flexible trimmer for Illumina sequence data

TL;DR: Timmomatic is developed as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data and is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested.
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MRBAYES: Bayesian inference of phylogenetic trees

TL;DR: The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo, and an executable is available at http://brahms.rochester.edu/software.html.
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Investigating Deep Phylogenetic Relationships among Cyanobacteria and Plastids by Small Subunit rRNA Sequence Analysis

TL;DR: Small subunit rRNA sequence data were generated for 27 strains of cyanobacteria and incorporated into a phylogenetic analysis of 1,377 aligned sequence positions, finding all plastids cluster as a strongly supported monophyletic group arising near the root of the cyanobacterial line of descent.
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