Bacillus velezensis DSYZ is a plant growth-promoting rhizobacterium with the capacity to control fungal pathogens. It was isolated from the rhizosphere soil of garlic. Here, we present the complete genome sequence of B. velezensis DSYZ. Several gene clusters that are related to the biosynthesis of antimicrobial compounds were predicted.
Bacillus sp. 7PJ-16, an endophytic bacterium isolated from a healthy mulberry stem and previously identified as Bacillus tequilensis 7PJ-16, exhibits strong antifungal activity and has the capacity to promote plant growth. This strain was studied for its effectiveness as a biocontrol agent to reduce mulberry fruit sclerotiniose in the field and as a growth-promoting agent for mulberry in the greenhouse. In field studies, the cell suspension and supernatant of strain 7PJ-16 exhibited biocontrol efficacy and the lowest disease incidence was reduced down to only 0.80%. In greenhouse experiments, the cell suspension (1.0?×?106 and 1.0?×?105 CFU/mL) and the cell-free supernatant (100-fold and 1000-fold dilution) stimulated mulberry seed germination and promoted mulberry seedling growth. In addition, to accurately identify the 7PJ-16 strain and further explore the mechanisms of its antifungal and growth-promoting properties, the complete genome of this strain was sequenced and annotated. The 7PJ-16 genome is comprised of two circular plasmids and a 4,209,045-bp circular chromosome, containing 4492 protein-coding genes and 116 RNA genes. This strain was ultimately designed as Bacillus subtilis based on core genome sequence analyses using a phylogenomic approach. In this genome, we identified a series of gene clusters that function in the synthesis of non-ribosomal peptides (surfactin, fengycin, bacillibactin, and bacilysin) as well as the ribosome-dependent synthesis of tasA and bacteriocins (subtilin, subtilosin A), which are responsible for the biosynthesis of numerous antimicrobial metabolites. Additionally, several genes with function that promote plant growth, such as indole-3-acetic acid biosynthesis, the production of volatile substances, and siderophores synthesis, were also identified. The information described in this study has established a good foundation for understanding the beneficial interactions between endophytes and host plants, and facilitates the further application of B. subtilis 7PJ-16 as an agricultural biofertilizer and biocontrol agent.
The iconic orange clownfish, Amphiprion percula, is a model organism for studying the ecology and evolution of reef fishes, including patterns of population connectivity, sex change, social organization, habitat selection and adaptation to climate change. Notably, the orange clownfish is the only reef fish for which a complete larval dispersal kernel has been established and was the first fish species for which it was demonstrated that antipredator responses of reef fishes could be impaired by ocean acidification. Despite its importance, molecular resources for this species remain scarce and until now it lacked a reference genome assembly. Here, we present a de novo chromosome-scale assembly of the genome of the orange clownfish Amphiprion percula. We utilized single-molecule real-time sequencing technology from Pacific Biosciences to produce an initial polished assembly comprised of 1,414 contigs, with a contig N50 length of 1.86 Mb. Using Hi-C-based chromatin contact maps, 98% of the genome assembly were placed into 24 chromosomes, resulting in a final assembly of 908.8 Mb in length with contig and scaffold N50s of 3.12 and 38.4 Mb, respectively. This makes it one of the most contiguous and complete fish genome assemblies currently available. The genome was annotated with 26,597 protein-coding genes and contains 96% of the core set of conserved actinopterygian orthologs. The availability of this reference genome assembly as a community resource will further strengthen the role of the orange clownfish as a model species for research on the ecology and evolution of reef fishes. © 2018 The Authors. Molecular Ecology Resources Published by John Wiley & Sons Ltd.
As an economically important cephalopods species, wild-caught Sepia esculenta fishery has suffered a server decline due to over-fishing and ocean environmental damage. To restore this seriously declining fishery resource, we should understand the genetic foundation and molecular mechanism of spawning, reproduction and mortal of golden cuttlefish. In this study, we generated the full-length transcriptome of S. esculenta based on the total RNA of tissue samples (brain, optic gland, nidamental gland, ovary and muscle at different developmental stages) using a combination of single-molecule real-time (SMRT) and Illumina RNA-seq technology. A total of 14.16 Gb SMRT sequencing data were assembled into 94,635 transcripts. Meanwhile, 35.15 Gb Illumina HiSeq data were assembled into 177,226 non-redundant transcripts. Then, we merged SMRT and Illumina assembled data to generate a more complete/full-length S. esculenta transcriptome with 177,951 high-quality transcripts. Based on the obtained transcriptome data, total 81,459 transcripts were annotated in at least one of seven functional databases and 49,189 nucleotide sequences of coding regions were identified. Additionally, 161,327 SSRs distributed in 64,933 transcripts were identified based on SSR analysis. This full-length and high-quality transcriptome of S. esculenta can provide an important foundation for future genomic research on growth and development, reproduction and mortal of cephalopod and further recovery of this recessionary fisheries resources.
Infection by Helicobacter pylori is the primary cause of gastric adenocarcinoma. The most potent H. pylori virulence factor is cytotoxin-associated gene A (CagA), which is translocated by a type 4 secretion system (T4SS) into gastric epithelial cells and activates oncogenic signaling pathways. The gene cagY encodes for a key component of the T4SS and can undergo gene rearrangements. We have shown that the cancer chemopreventive agent a-difluoromethylornithine (DFMO), known to inhibit the enzyme ornithine decarboxylase, reduces H. pylori-mediated gastric cancer incidence in Mongolian gerbils. In the present study, we questioned whether DFMO might directly affect H. pylori pathogenicity. We show that H. pylori output strains isolated from gerbils treated with DFMO exhibit reduced ability to translocate CagA in gastric epithelial cells. Further, we frequently detected genomic modifications in the middle repeat region of the cagY gene of output strains from DFMO-treated animals, which were associated with alterations in the CagY protein. Gerbils did not develop carcinoma when infected with a DFMO output strain containing rearranged cagY or the parental strain in which the wild-type cagY was replaced by cagY with DFMO-induced rearrangements. Lastly, we demonstrate that in vitro treatment of H. pylori by DFMO induces oxidative DNA damage, expression of the DNA repair enzyme MutS2, and mutations in cagY, demonstrating that DFMO directly affects genomic stability. Deletion of mutS2 abrogated the ability of DFMO to induce cagY rearrangements directly. In conclusion, DFMO-induced oxidative stress in H. pylori leads to genomic alterations and attenuates virulence.
Application of organic fertilisers to soil prevents erosion, improves fertility and may suppress certain soil-borne plant pathogens, but it is still unclear how different trophic groups of fungi and oomycetes respond to long-term fertilisation treatment. The objective of the study was to examine the effect of different fertilisation regimes on fungal and oomycete pathogen- and mycorrhizal symbiont diversity and community structure in both soil and roots, using PacBio SMRT sequencing. The field experiment included three fertilisation treatments that have been applied since 1989: nitrogen fertilisation (WOM), nitrogen fertilisation with manure amendment (FYM) and alternative organic fertilisation (AOF), each applied at five different rates. Soil samples were collected three times during the growing season, while root samples were collected during the flowering stage. There was no influence of the studied variables on soil and root pathogen richness. Contrary to our hypothesis, pathogen relative abundance in both soil and roots was significantly higher in plots with the AOF treatment. Furthermore, richness and relative abundance of arbuscular mycorrhizal (AM) fungi decreased significantly in the AOF treatment. Permutational analysis of variance (PERMANOVA) demonstrated the effect of fertilisation treatment on pathogen community composition in both soil and roots. Our findings indicate that organic fertilisers may not always benefit soil microbial community composition. Therefore, further studies are needed to understand how fertilisation affects mycorrhizal mutualists and pathogens.
Phaseolus dumosus is an endemic species from mountain tops in Mexico that was found in traditional agriculture areas in Veracruz, Mexico. P. dumosus plants were identified by ITS sequences and their nodules were collected from agricultural fields or from trap plant experiments in the laboratory. Bacteria from P. dumosus nodules were identified as belonging to the phaseoli-etli-leguminosarum (PEL) or to the tropici group by 16S rRNA gene sequences. We obtained complete closed genomes from two P. dumosus isolates CCGE531 and CCGE532 that were phylogenetically placed within the tropici group but with a distinctive phylogenomic position and low average nucleotide identity (ANI). CCGE531 and CCGE532 had common phenotypic characteristics with tropici type B rhizobial symbionts. Genome synteny analysis and ANI showed that P. dumosus isolates had different chromids and our analysis suggests that chromids have independently evolved in different lineages of the Rhizobium genus. Finally, we considered that P. dumosus and Phaseolus vulgaris plants belong to the same cross-inoculation group since they have conserved symbiotic affinites for rhizobia.Copyright © 2018 Elsevier GmbH. All rights reserved.
Therapies targeting certain CFTR mutants have been approved, yet variations in clinical response highlight the need for in-vitro and genetic tools that predict patient-specific clinical outcomes. Toward this goal, the CF Canada-Sick Kids Program in Individual CF Therapy (CFIT) is generating a “first of its kind”, comprehensive resource containing patient-specific cell cultures and data from 100 CF individuals that will enable modeling of therapeutic responses.The CFIT program is generating: 1) nasal cells from drug naïve patients suitable for culture and the study of drug responses in vitro, 2) matched gene expression data obtained by sequencing the RNA from the primary nasal tissue, 3) whole genome sequencing of blood derived DNA from each of the 100 participants, 4) induced pluripotent stem cells (iPSCs) generated from each participant’s blood sample, 5) CRISPR-edited isogenic control iPSC lines and 6) prospective clinical data from patients treated with CF modulators.To date, we have recruited 57 of 100 individuals to CFIT, most of whom are homozygous for F508del (to assess in-vitro: in-vivo correlations with respect to ORKAMBI response) or heterozygous for F508del and a minimal function mutation. In addition, several donors are homozygous for rare nonsense and missense mutations. Nasal epithelial cell cultures and matched iPSC lines are available for many of these donors.This accessible resource will enable development of tools that predict individual outcomes to current and emerging modulators targeting F508del-CFTR and facilitate therapy discovery for rare CF causing mutations.Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.
Non-typhoidal Salmonella is a leading cause of outbreak and sporadic-associated foodborne illnesses in the United States. These infections have been associated with a range of foods, including retail meats. Traditionally, pulsed-field gel electrophoresis (PFGE) and antibiotic susceptibility testing (AST) have been used to facilitate public health investigations of Salmonella infections. However, whole-genome sequencing (WGS) has emerged as an alternative tool that can be routinely implemented. To assess its potential in enhancing integrated surveillance in Pennsylvania, USA, WGS was used to directly compare the genetic characteristics of 7 retail meat and 43 clinical historic Salmonella isolates, subdivided into 3 subsets based on PFGE and AST results, to retrospectively resolve their genetic relatedness and identify antimicrobial resistance (AMR) determinants. Single nucleotide polymorphism (SNP) analyses revealed that the retail meat isolates within S. Heidelberg, S. Typhimurium var. O5- subset 1 and S. Typhimurium var. O5- subset 2 were separated from each primary PFGE pattern-matched clinical isolate by 6-12, 41-96 and 21-81 SNPs, respectively. Fifteen resistance genes were identified across all isolates, including fosA7, a gene only recently found in a limited number of Salmonella and a =95?%?phenotype to genotype correlation was observed for all tested antimicrobials. Moreover, AMR was primarily plasmid-mediated in S. Heidelberg and S. Typhimurium var. O5- subset 2, whereas AMR was chromosomally carried in S. Typhimurium var. O5- subset 1. Similar plasmids were identified in both the retail meat and clinical isolates. Collectively, these data highlight the utility of WGS in retrospective analyses and enhancing integrated surveillance for Salmonella from multiple sources.
Lactobacillus mucosae is currently of interest as putative probiotics due to their metabolic capabilities and ability to colonize host mucosal niches. L. mucosae LM1 has been studied in its functions in cell adhesion and pathogen inhibition, etc. It demonstrated unique abilities to use energy from carbohydrate and non-carbohydrate sources. Due to these functions, we report the first complete genome sequence of an L. mucosae strain, L. mucosae LM1. Analysis of the pan-genome in comparison with closely-related Lactobacillus species identified a complete glycogen metabolism pathway, as well as folate biosynthesis, complementing previous proteomic data on the LM1 strain. It also revealed common and unique niche-adaptation genes among the various L. mucosae strains. The aim of this study was to derive genomic information that would reveal the probable mechanisms underlying the probiotic effect of L. mucosae LM1, and provide a better understanding of the nature of L. mucosae sp. Copyright © 2017 Elsevier Inc. All rights reserved.
Sucrose accumulation and decreased photosynthesis are early symptoms of yellow canopy syndrome (YCS) in sugarcane (Saccharum spp.), and precede the visual yellowing of the leaves. To investigate broad-scale gene expression changes during YCS-onset, transcriptome analyses coupled to metabolome analyses were performed. Across leaf tissues, the greatest number of differentially expressed genes related to the chloroplast, and the metabolic processes relating to nitrogen and carbohydrates. Five genes represented 90% of the TPM (Transcripts Per Million) associated with the downregulation of transcription during YCS-onset, which included PSII D1 (PsbA). This differential expression was consistent with a feedback regulatory effect upon photosynthesis. Broad-scale gene expression analyses did not reveal a cause for leaf sugar accumulation during YCS-onset. Interestingly, the midrib showed the greatest accumulation of sugars, followed by symptomatic lamina. To investigate if phloem loading/reloading may be compromised on a gene expression level – to lead to leaf sucrose accumulation – sucrose transport-related proteins of SWEETs, Sucrose Transporters (SUTs), H+-ATPases and H+-pyrophosphatases (H+-PPases) were characterised from a sugarcane transcriptome and expression analysed. Two clusters of Type I H+-PPases, with one upregulated and the other downregulated, were evident. Although less pronounced, a similar pattern of change was observed for the H+-ATPases. The disaccharide transporting SWEETs were downregulated after visual symptoms were present, and a monosaccharide transporting SWEET upregulated preceding, as well as after, symptom development. SUT gene expression was the least responsive to YCS development. The results are consistent with a reduction of photoassimilate movement through the phloem leading to sucrose build-up in the leaf.
Recent advances in genomics technologies have greatly accelerated the progress in both fundamental plant science and applied breeding research. Concurrently, high-throughput plant phenotyping is becoming widely adopted in the plant community, promising to alleviate the phenotypic bottleneck. While these technological breakthroughs are significantly accelerating quantitative trait locus (QTL) and causal gene identification, challenges to enable even more sophisticated analyses remain. In particular, care needs to be taken to standardize, describe and conduct experiments robustly while relying on plant physiology expertise. In this article, we review the state of the art regarding genome assembly and the future potential of pangenomics in plant research. We also describe the necessity of standardizing and describing phenotypic studies using the Minimum Information About a Plant Phenotyping Experiment (MIAPPE) standard to enable the reuse and integration of phenotypic data. In addition, we show how deep phenotypic data might yield novel trait-trait correlations and review how to link phenotypic data to genomic data. Finally, we provide perspectives on the golden future of machine learning and their potential in linking phenotypes to genomic features. © 2018 The Authors The Plant Journal published by John Wiley & Sons Ltd and Society for Experimental Biology.
Root-associated microbes play a key role in plant performance and productivity, making them important players in agroecosystems. So far, very few studies have assessed the impact of different farming systems on the root microbiota and it is still unclear whether agricultural intensification influences the structure and complexity of microbial communities. We investigated the impact of conventional, no-till, and organic farming on wheat root fungal communities using PacBio SMRT sequencing on samples collected from 60 farmlands in Switzerland. Organic farming harbored a much more complex fungal network with significantly higher connectivity than conventional and no-till farming systems. The abundance of keystone taxa was the highest under organic farming where agricultural intensification was the lowest. We also found a strong negative association (R2?=?0.366; P?
The genus Halomonas possesses bacteria that are halophilic or halotolerant and exhibit a wide range of pH tolerance. The genome of Halomonas sp. Soap Lake #7 was sequenced to provide a better understanding of the mechanisms for salt and pH tolerance in this genus. The bacterium’s genome was found to possess two complete multiple resistance and pH antiporter systems, Group 1 and Group 2. This is the first report of both multiple resistance and pH antiporter Groups 1 and 2 in the genome of a haloalkaliphilic bacterium. © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.
We report the first annotated chromosome-level reference genome assembly for pea, Gregor Mendel’s original genetic model. Phylogenetics and paleogenomics show genomic rearrangements across legumes and suggest a major role for repetitive elements in pea genome evolution. Compared to other sequenced Leguminosae genomes, the pea genome shows intense gene dynamics, most likely associated with genome size expansion when the Fabeae diverged from its sister tribes. During Pisum evolution, translocation and transposition differentially occurred across lineages. This reference sequence will accelerate our understanding of the molecular basis of agronomically important traits and support crop improvement.
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