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      Genomes and virulence difference between two physiological races of Phytophthora nicotianae

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          Abstract

          Background

          Black shank is a severe plant disease caused by the soil-borne pathogen Phytophthora nicotianae. Two physiological races of P. nicotianae, races 0 and 1, are predominantly observed in cultivated tobacco fields around the world. Race 0 has been reported to be more aggressive, having a shorter incubation period, and causing worse root rot symptoms, while race 1 causes more severe necrosis. The molecular mechanisms underlying the difference in virulence between race 0 and 1 remain elusive.

          Findings

          We assembled and annotated the genomes of P. nicotianae races 0 and 1, which were obtained by a combination of PacBio single-molecular real-time sequencing and second-generation sequencing (both HiSeq and MiSeq platforms). Gene family analysis revealed a highly expanded ATP-binding cassette transporter gene family in P. nicotianae. Specifically, more RxLR effector genes were found in the genome of race 0 than in that of race 1. In addition, RxLR effector genes were found to be mainly distributed in gene-sparse, repeat-rich regions of the P. nicotianae genome.

          Conclusions

          These results provide not only high quality reference genomes of P. nicotianae, but also insights into the infection mechanisms of P. nicotianae and its co-evolution with the host plant. They also reveal insights into the difference in virulence between the two physiological races.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13742-016-0108-7) contains supplementary material, which is available to authorized users.

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          Most cited references28

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          KaKs_Calculator 2.0: A Toolkit Incorporating Gamma-Series Methods and Sliding Window Strategies

          We present an integrated stand-alone software package named KaKs_Calculator 2.0 as an updated version. It incorporates 17 methods for the calculation of nonsynonymous and synonymous substitution rates; among them, we added our modified versions of several widely used methods as the gamma series including γ-NG, γ-LWL, γ-MLWL, γ-LPB, γ-MLPB, γ-YN and γ-MYN, which have been demonstrated to perform better under certain conditions than their original forms and are not implemented in the previous version. The package is readily used for the identification of positively selected sites based on a sliding window across the sequences of interests in 5’ to 3’ direction of protein-coding sequences, and have improved the overall performance on sequence analysis for evolution studies. A toolbox, including C++ and Java source code and executable files on both Windows and Linux platforms together with a user instruction, is downloadable from the website for academic purpose at https://sourceforge.net/projects/kakscalculator2/.
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            Phytophthora genome sequences uncover evolutionary origins and mechanisms of pathogenesis.

            Draft genome sequences have been determined for the soybean pathogen Phytophthora sojae and the sudden oak death pathogen Phytophthora ramorum. Oömycetes such as these Phytophthora species share the kingdom Stramenopila with photosynthetic algae such as diatoms, and the presence of many Phytophthora genes of probable phototroph origin supports a photosynthetic ancestry for the stramenopiles. Comparison of the two species' genomes reveals a rapid expansion and diversification of many protein families associated with plant infection such as hydrolases, ABC transporters, protein toxins, proteinase inhibitors, and, in particular, a superfamily of 700 proteins with similarity to known oömycete avirulence genes.
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              Improving PacBio Long Read Accuracy by Short Read Alignment

              The recent development of third generation sequencing (TGS) generates much longer reads than second generation sequencing (SGS) and thus provides a chance to solve problems that are difficult to study through SGS alone. However, higher raw read error rates are an intrinsic drawback in most TGS technologies. Here we present a computational method, LSC, to perform error correction of TGS long reads (LR) by SGS short reads (SR). Aiming to reduce the error rate in homopolymer runs in the main TGS platform, the PacBio® RS, LSC applies a homopolymer compression (HC) transformation strategy to increase the sensitivity of SR-LR alignment without scarifying alignment accuracy. We applied LSC to 100,000 PacBio long reads from human brain cerebellum RNA-seq data and 64 million single-end 75 bp reads from human brain RNA-seq data. The results show LSC can correct PacBio long reads to reduce the error rate by more than 3 folds. The improved accuracy greatly benefits many downstream analyses, such as directional gene isoform detection in RNA-seq study. Compared with another hybrid correction tool, LSC can achieve over double the sensitivity and similar specificity.
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                Author and article information

                Contributors
                lhui2010@gmail.com
                maxiao.ynau@qq.com
                285536436@qq.com
                fdhkm@sina.com
                liyongping@yntsti.com
                wx.love@foxmail.com
                wwang@mail.kiz.ac.cn
                loyalyang@163.com
                xiaobg@263.net
                Journal
                Gigascience
                Gigascience
                GigaScience
                BioMed Central (London )
                2047-217X
                28 January 2016
                28 January 2016
                2016
                : 5
                : 3
                Affiliations
                [ ]CAS-Max Planck Junior Research Group, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
                [ ]University of Chinese Academy of Sciences, Beijing, 100049 China
                [ ]Yunnan Agricultural University, Kunming, 650100 China
                [ ]Yunnan Academy of Tobacco Agricultural Sciences, Yuantong Street No.33, Kunming, Yunnan 650021 China
                [ ]Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500 China
                Article
                108
                10.1186/s13742-016-0108-7
                4730604
                26823972
                3e982436-8a40-41e2-b4e8-02f5d6e40b22
                © Liu et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 15 September 2015
                : 6 January 2016
                Funding
                Funded by: CNTC
                Award ID: 110201201003(JY-03)
                Award Recipient :
                Funded by: YNTC
                Award ID: 2012YN01
                Award ID: 2013YN01
                Award Recipient :
                Categories
                Data Note
                Custom metadata
                © The Author(s) 2016

                black shank,phytophthora nicotianae,genomes,hybrid assembly,rxlr effector

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