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July 7, 2019  |  

Draft genome sequence of Streptomyces sp. P3 isolated from potato scab diseased tubers

Streptomyces sp. P3 was isolated from potato scab diseased tubers in Pyeongchang, Gangwon-do, Republic of Korea in 2017. Here, we report the draft genome sequences of P3 with 9,851,971 bp size (71.2% GC content) of the chromosome. The genome comprises 8,548 CDS, 18 rRNA and 66 tRNA genes. Although strain P3 did not show pathogenicity both potato tuber assay and radish seedling assay, it possesses tomatinase (tomA) gene among conserved pathogenicity-related genes in well characterized pathogenic Streptomyces. Thus, the genome sequences determined in this study will be useful to understand for pathogenic evolution in Streptomyces species, which already adapted to potato scab pathogens.


July 7, 2019  |  

Recent advances on detection and characterization of fruit tree viruses using high-throughput sequencing technologies.

Perennial crops, such as fruit trees, are infected by many viruses, which are transmitted through vegetative propagation and grafting of infected plant material. Some of these pathogens cause severe crop losses and often reduce the productive life of the orchards. Detection and characterization of these agents in fruit trees is challenging, however, during the last years, the wide application of high-throughput sequencing (HTS) technologies has significantly facilitated this task. In this review, we present recent advances in the discovery, detection, and characterization of fruit tree viruses and virus-like agents accomplished by HTS approaches. A high number of new viruses have been described in the last 5 years, some of them exhibiting novel genomic features that have led to the proposal of the creation of new genera, and the revision of the current virus taxonomy status. Interestingly, several of the newly identified viruses belong to virus genera previously unknown to infect fruit tree species (e.g., Fabavirus, Luteovirus) a fact that challenges our perspective of plant viruses in general. Finally, applied methodologies, including the use of different molecules as templates, as well as advantages and disadvantages and future directions of HTS in fruit tree virology are discussed.


July 7, 2019  |  

Complete genome sequence of soil actinobacteria Streptomyces cavourensis TJ430.

A new actinobacteria Streptomyces cavourensis TJ430 was isolated from the mountain soil collected from the southwest of China. In previous study, TJ430 showed striking bactericidal activities and strong ability of antibiotic production. Here, we report complete genome of this bacterium, consisting of 7.6?Mb linear chromosome and 0.2?Mb plasmids. It was predicted 6450 genes in chromosome and 225 genes in plasmids, as well as 12 gene islands in chromosome. Abundant genes have predicted functions in antibiotic metabolism and stress resistance. A whole-genome comparison of S. cavourensis TJ430, S. coelicolor A3(2), and S. lividans 66 indicates that TJ430 has a relatively high degree of strain specificity. The 16S rRNA phylogenetic tree shows the high identities (99.79%) of TJ430 with S. cavourensis DSM40300. TJ430 is a new and rare Streptomyces species, and analysis of its genome helps us to better understand primary metabolism mechanism of this isolate, as well as the evolutionary biology.© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


July 7, 2019  |  

Omics in weed science: A perspective from genomics, transcriptomics, and metabolomics approaches

Modern high-throughput molecular and analytical tools offer exciting opportunities to gain a mechanistic understanding of unique traits of weeds. During the past decade, tremendous progress has been made within the weed science discipline using genomic techniques to gain deeper insights into weedy traits such as invasiveness, hybridization, and herbicide resistance. Though the adoption of newer “omics” techniques such as proteomics, metabolomics, and physionomics has been slow, applications of these omics platforms to study plants, especially agriculturally important crops and weeds, have been increasing over the years. In weed science, these platforms are now used more frequently to understand mechanisms of herbicide resistance, weed resistance evolution, and crop–weed interactions. Use of these techniques could help weed scientists to further reduce the knowledge gaps in understanding weedy traits. Although these techniques can provide robust insights about the molecular functioning of plants, employing a single omics platform can rarely elucidate the gene-level regulation and the associated real-time expression of weedy traits due to the complex and overlapping nature of biological interactions. Therefore, it is desirable to integrate the different omics technologies to give a better understanding of molecular functioning of biological systems. This multidimensional integrated approach can therefore offer new avenues for better understanding of questions of interest to weed scientists. This review offers a retrospective and prospective examination of omics platforms employed to investigate weed physiology and novel approaches and new technologies that can provide holistic and knowledge-based weed management strategies for future.


July 7, 2019  |  

Near-complete genome sequence of Ralstonia solanacearum T523, a phylotype I tomato phytopathogen isolated from the Philippines.

Ralstonia solanacearum strain T523 is the major phytopathogen causing tomato bacterial wilt in the Philippines. Here, we report the complete chromosome and draft megaplasmid genomes with predicted gene inventories supporting rhizo- sphere processes, extensive plant virulence effectors, and the production of bioac- tive signaling metabolites, such as ralstonin, micacocidin, and homoserine lactone.


July 7, 2019  |  

Genome-wide characterization and phylogenetic analysis of GSK gene family in three species of cotton: evidence for a role of some GSKs in fiber development and responses to stress

Background: The glycogen synthase kinase 3/shaggy kinase (GSK3) is a serine/threonine kinase with important roles in animals. Although GSK3 genes have been studied for more than 30years, plant GSK genes have been studied only since the last decade. Previous research has confirmed that plant GSK genes are involved in diverse processes, including floral development, brassinosteroid signaling, and responses to abiotic stresses. Result: In this study, 20, 15 (including 5 different transcripts) and 10 GSK genes were identified in G. hirsutum, G. raimondii and G. arboreum, respectively. A total of 65 genes from Arabidopsis, rice, and cotton were classified into 4 clades. High similarities were found in GSK3 protein sequences, conserved motifs, and gene structures, as well as good concordance in gene pairwise comparisons (G. hirsutum vs. G. arboreum, G. hirsutum vs. G. raimondii, and G. arboreum vs. G. raimondii) were observed. Whole genome duplication (WGD) within At and Dt sub-genomes has been central to the expansion of the GSK gene family. Furthermore, GhSK genes showed diverse expression patterns in various tissues. Additionally, the expression profiles of GhSKs under different stress treatments demonstrated that many are stress-responsive genes. However, none were induced by brassinolide treatment. Finally, nine co-expression sub- networks were observed for GhSKs and the functional annotations of these genes suggested that some GhSKs might be involved in cotton fiber development. Conclusion: In this present work, we identified 45 GSK genes from three cotton species, which were divided into four clades. The gene features, muti-alignment, conversed motifs, and syntenic blocks indicate that they have been highly conserved during evolution. Whole genome duplication was determined to be the dominant factor for GSK gene family expansion. The analysis of co-expressed sub-networks and tissue-specific expression profiles suggested functions of GhSKs during fiber development. Moreover, their different responses to various abiotic stresses indicated great functional diversity amongst the GhSKs. Briefly, data presented herein may serve as the basis for future functional studies of GhSKs.


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