Seed-borne bacteria in Maize
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1069023 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR27783402_1.fastq.gz | Fastqsanger.gz | |||
| SRR27783402_2.fastq.gz | Fastqsanger.gz | |||
| SRR27783403_1.fastq.gz | Fastqsanger.gz | |||
| SRR27783403_2.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: To identify the potential genes that regulate seed germination speed in maize, we performed a time-series transcriptome analysis with two inbred maize lines (72-3 fast germination, F9721 slow germination) during the seed germination and compared the differentially expressed genes (DEGs) in transcriptome with genes identified by GWAS Methods: Methods: mRNA profiles of two maize inbred lines 72-3 and F9721 showing divergent seed germination at six stages during germination were generated by deep sequencing, in triplicate, using Illumina Hiseq2500. The sequence reads that passed quality filters were analyzed at the gene level. Hisat2 was used to align clean reads to maize B73 reference genome, and HTSeq was used to count transcript abundance. DESeq2 models were used to compare DEGs at each germination stage within or between samples Results: Comparative transcriptome study identified 12 hours after imbibition (HAI) as the critical stage responsible for the variation of germination speed. The DEGs between 72-3 and F9721 were mainly enriched in metabolic pathways, biosynthesis of secondary metabolites, oxidoreductase activity pathways, hormone signal transduction, and amino acid transporter activity pathways Conclusions: Combined with evidence from gene expression data, GWAS, and gene synteny with other model species, we finally anchored three genes as the likely candidate genes regulating germination speed in maize
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Project description:Root exudates contain specialised metabolites that affect the plant’s root microbiome. How host-specific microbes cope with these bioactive compounds, and how this ability shapes root microbiomes, remains largely unknown. We investigated how maize root bacteria metabolise benzoxazinoids, the main specialised metabolites of maize. Diverse and abundant bacteria metabolised the major compound in the maize rhizosphere MBOA and formed AMPO. AMPO forming bacteria are enriched in the rhizosphere of benzoxazinoid-producing maize and can use MBOA as carbon source. We identified a novel gene cluster associated with AMPO formation in microbacteria. The first gene in this cluster, bxdA encodes a lactonase that converts MBOA to AMPO in vitro. A deletion mutant of the homologous bxdA genes in the genus Sphingobium, does not form AMPO nor is it able to use MBOA as a carbon source. BxdA was identified in different genera of maize root bacteria. Here we show that plant-specialised metabolites select for metabolisation-competent root bacteria. BxdA represents a novel benzoxazinoid metabolisation gene whose carriers successfully colonize the maize rhizosphere and thereby shape the plant’s chemical environmental footprint
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Project description:In this study RNA-sequencing was used to monitor gene expression changes in stele tissue of maize (Zea mays L.) shoot-borne roots in response to local high nitrate stimulation to gain a better understanding of the mechanisms underlying nitrate signal and lateral root development.M
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Project description:Rapid and uniform seed germination is required for modern cropping system. Thus, it is important to optimize germination performance through breeding strategies in maize, in which identification for key regulators is needed. Here, we characterized an AP2/ERF transcription factor, ZmEREB92, as a negative regulator of seed germination in maize. Enhanced germination in ereb92 mutants is contributed by elevated ethylene signaling and starch degradation. Consistently, an ethylene signaling gene ZmEIL7 and an α-amylase gene ZmAMYa2 are identified as direct targets repressed by ZmEREB92. OsERF74, the rice ortholog of ZmEREB92, shows conserved function in negatively regulating seed germination in rice. Importantly, this orthologous gene pair is likely experienced convergently selection during maize and rice domestication. Besides, mutation of ZmEREB92 and OsERF74 both lead to enhanced germination under cold condition, suggesting their regulation on seed germination might be coupled with temperature sensitivity. Collectively, our findings uncovered the ZmEREB92-mediated regulatory mechanism of seed germination in maize and provide breeding targets for maize and rice to optimize seed germination performance towards changing climates.
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Project description:Several reports have described the involvement of miRNAs in abiotic stresses. However, their role in biotic stress or to beneficial microbes has not been fully explored. In order to understand on the epigenetic regulation in plant in response to nitrogen-fixing bacteria association, we analyzed the sRNA regulation in maize hybrids (Zea mays M-bM-^@M-^S UENF 506-8) inoculated with the beneficial diazotrophic bacteria (Herbaspirillum seropedicae). Deep sequencing analysis was carried out to identify the sRNAs regulated in maize during association with diazotrophic bacteria. For this analysis, maize plants were germinated in wet paper and put in hydroponic system with HoaglandM-bM-^@M-^Ys solution and then inoculated with H. seropedicae for seven days. Mock and inoculated plants were collected and total RNA from a pool of samples was extracted with Trizol reagent. The two sRNA libraries were sequenced by Illumina. The sequences were filtered to remove adaptors and contaminants rRNA and tRNAs, and sequences with 18-28 nt in length were selected. To identify the miRNAs present in these libraries, we used two strategies using the same website (http://srna-tools.cmp.uea.ac.uk): one to identify novel miRNAs using the maize genome (verson 2) and miRCat pipeline; and other to identify conserved miRNAs using the miRBase database (release 13.0, http://microrna.sanger.ac.uk) and miRProf pipeline. We identified 17 novel putative miRNAs candidates and mapped the precursor of these miRNAs in the maize genome. Furthermore, we identified 25 conserved miRNAs families and the differential expressions were analyzed with miRProf pipeline. The bioinformatics analysis of four up-regulated miRNAs (miR397, miR398, miR408 and miR528) in inoculated plant was validated using stemM-bM-^@M-^Sloop RT-PCR assay. Our findings contribute to increase the knowledge of the molecular relation between plants and endophytic bacteria. Screenning of sRNA transcriptome of maize plants inoculated with Herbaspirillum seropedicae after seven days
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