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McDonald MC, Oliver RP, Friesen TL, Brunner PC, McDonald BA. Global diversity and distribution of three necrotrophic effectors in Phaeosphaeria nodorum and related species. THE NEW PHYTOLOGIST 2013; 199:241-251. [PMID: 23550706 DOI: 10.1111/nph.12257] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2013] [Accepted: 02/22/2013] [Indexed: 05/07/2023]
Abstract
Population genetic and phylogenetic studies have shown that Phaeosphaeria nodorum is a member of a species complex that probably shares its center of origin with wheat (Triticum aestivum and Triticum durum). We examined the evolutionary histories of three known necrotrophic effectors (NEs) produced by P. nodorum and compared them with neutral loci. We screened over 1000 individuals for the presence/absence of each effector and assigned each individual to a multi-effector genotype. Diversity at each NE locus was assessed by sequencing c. 200 individuals for each locus. We found significant differences in effector frequency among populations. We propose that these differences reflect the presence/absence of the corresponding susceptibility gene in wheat cultivars. The population harboring the highest sequence diversity was different for each effector locus and never coincided with populations harboring the highest diversity at neutral loci. Coalescent and phylogenetic analyses showed a discontinuous presence of all three NEs among nine closely related Phaeosphaeria species. Only two of the nine species were found to harbor NEs. We present evidence that the three described NEs of P. nodorum were transmitted to its sister species, Phaeosphaeria avenaria tritici 1, via interspecific hybridization.
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Affiliation(s)
- Megan C McDonald
- Plant Pathology Group, Institute of Integrative Biology, ETH Zurich, CH-8092, Zurich, Switzerland
| | - Richard P Oliver
- Australian Centre for Necrotrophic Fungal Pathogens, Department of Environment and Agriculture, Curtin University, Perth, WA, 6845, Australia
| | - Timothy L Friesen
- United States Department of Agriculture-Agriculture Research Service, Northern Crop Science Laboratory, Cereal Crops Research Unit, Fargo, ND, 58105, USA
| | - Patrick C Brunner
- Plant Pathology Group, Institute of Integrative Biology, ETH Zurich, CH-8092, Zurich, Switzerland
| | - Bruce A McDonald
- Plant Pathology Group, Institute of Integrative Biology, ETH Zurich, CH-8092, Zurich, Switzerland
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152
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Garnica DP, Upadhyaya NM, Dodds PN, Rathjen JP. Strategies for Wheat Stripe Rust Pathogenicity Identified by Transcriptome Sequencing. PLoS One 2013; 8:e67150. [PMID: 23840606 PMCID: PMC3694141 DOI: 10.1371/journal.pone.0067150] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2013] [Accepted: 05/14/2013] [Indexed: 12/31/2022] Open
Abstract
Stripe rust caused by the fungus Puccinia striiformis f.sp. tritici (Pst) is a major constraint to wheat production worldwide. The molecular events that underlie Pst pathogenicity are largely unknown. Like all rusts, Pst creates a specialized cellular structure within host cells called the haustorium to obtain nutrients from wheat, and to secrete pathogenicity factors called effector proteins. We purified Pst haustoria and used next-generation sequencing platforms to assemble the haustorial transcriptome as well as the transcriptome of germinated spores. 12,282 transcripts were assembled from 454-pyrosequencing data and used as reference for digital gene expression analysis to compare the germinated uredinospores and haustoria transcriptomes based on Illumina RNAseq data. More than 400 genes encoding secreted proteins which constitute candidate effectors were identified from the haustorial transcriptome, with two thirds of these up-regulated in this tissue compared to germinated spores. RT-PCR analysis confirmed the expression patterns of 94 effector candidates. The analysis also revealed that spores rely mainly on stored energy reserves for growth and development, while haustoria take up host nutrients for massive energy production for biosynthetic pathways and the ultimate production of spores. Together, these studies substantially increase our knowledge of potential Pst effectors and provide new insights into the pathogenic strategies of this important organism.
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Affiliation(s)
- Diana P. Garnica
- Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Narayana M. Upadhyaya
- Division of Plant Industry, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, Australian Capital Territory, Australia
| | - Peter N. Dodds
- Division of Plant Industry, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, Australian Capital Territory, Australia
| | - John P. Rathjen
- Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
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153
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Jupe J, Stam R, Howden AJM, Morris JA, Zhang R, Hedley PE, Huitema E. Phytophthora capsici-tomato interaction features dramatic shifts in gene expression associated with a hemi-biotrophic lifestyle. Genome Biol 2013; 14:R63. [PMID: 23799990 PMCID: PMC4054836 DOI: 10.1186/gb-2013-14-6-r63] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 06/25/2013] [Indexed: 01/10/2023] Open
Abstract
Background Plant-microbe interactions feature complex signal interplay between pathogens and their hosts. Phytophthora species comprise a destructive group of fungus-like plant pathogens, collectively affecting a wide range of plants important to agriculture and natural ecosystems. Despite the availability of genome sequences of both hosts and microbes, little is known about the signal interplay between them during infection. In particular, accurate descriptions of coordinate relationships between host and microbe transcriptional programs are lacking. Results Here, we explore the molecular interaction between the hemi-biotrophic broad host range pathogen Phytophthora capsici and tomato. Infection assays and use of a composite microarray allowed us to unveil distinct changes in both P. capsici and tomato transcriptomes, associated with biotrophy and the subsequent switch to necrotrophy. These included two distinct transcriptional changes associated with early infection and the biotrophy to necrotrophy transition that may contribute to infection and completion of the P. capsici lifecycle Conclusions Our results suggest dynamic but highly regulated transcriptional programming in both host and pathogen that underpin P. capsici disease and hemi-biotrophy. Dynamic expression changes of both effector-coding genes and host factors involved in immunity, suggests modulation of host immune signaling by both host and pathogen. With new unprecedented detail on transcriptional reprogramming, we can now explore the coordinate relationships that drive host-microbe interactions and the basic processes that underpin pathogen lifestyles. Deliberate alteration of lifestyle-associated transcriptional changes may allow prevention or perhaps disruption of hemi-biotrophic disease cycles and limit damage caused by epidemics.
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154
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Shaw JJ, Santry HP, Shah SA. Specialization and utilization after hepatectomy in academic medical centers. J Surg Res 2013; 185:433-40. [PMID: 23746763 DOI: 10.1016/j.jss.2013.04.072] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2013] [Revised: 04/01/2013] [Accepted: 04/26/2013] [Indexed: 02/09/2023]
Abstract
BACKGROUND Specialized procedures such as hepatectomy are performed by a variety of specialties in surgery. We aimed to determine whether variation exists among utilization of resources, cost, and patient outcomes by specialty, surgeon case volume, and center case volume for hepatectomy. METHODS We queried centers (n = 50) in the University Health Consortium database from 2007-2010 for patients who underwent elective hepatectomy in which specialty was designated general surgeon (n = 2685; 30%) or specialist surgeon (n = 6277; 70%), surgeon volume was designated high volume (>38 cases annually) and center volume was designated high volume (>100 cases annually). We then stratified our cohort by primary diagnosis, defined as primary tumor (n = 2241; 25%), secondary tumor (n = 5466; 61%), and benign (n = 1255; 14%). RESULTS Specialist surgeons performed more cases for primary malignancy (primary 26% versus 15%) while general surgeons operated more for secondary malignancies (67% versus 61%) and benign disease (18% versus 13%). Specialists were associated with a shorter total length of stay (LOS) (5 d versus 6 d; P < 0.01) and lower in-hospital morbidity (7% versus 11%; P < 0.01). Patients treated by high volume surgeons or at high volume centers were less likely to die than those treated by low volume surgeons or at low volume centers, (OR 0.55; 95% CI 0.33-0.89) and (OR 0.44; 95% CI 0.13-0.56). CONCLUSIONS Surgical specialization, surgeon volume and center volume may be important metrics for quality and utilization in complex procedures like hepatectomy. Further studies are necessary to link direct factors related to hospital performance in the changing healthcare environment.
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Affiliation(s)
- Joshua J Shaw
- Department of Surgery, Surgical Outcomes Analysis & Research (SOAR), University of Massachusetts Medical School, Worcester, Massachusetts.
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155
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Poplar genetic engineering: promoting desirable wood characteristics and pest resistance. Appl Microbiol Biotechnol 2013; 97:5669-79. [DOI: 10.1007/s00253-013-4940-8] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2013] [Revised: 04/17/2013] [Accepted: 04/18/2013] [Indexed: 10/26/2022]
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156
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Cantu D, Segovia V, MacLean D, Bayles R, Chen X, Kamoun S, Dubcovsky J, Saunders DGO, Uauy C. Genome analyses of the wheat yellow (stripe) rust pathogen Puccinia striiformis f. sp. tritici reveal polymorphic and haustorial expressed secreted proteins as candidate effectors. BMC Genomics 2013; 14:270. [PMID: 23607900 PMCID: PMC3640902 DOI: 10.1186/1471-2164-14-270] [Citation(s) in RCA: 171] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2012] [Accepted: 04/11/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Wheat yellow (stripe) rust caused by Puccinia striiformis f. sp. tritici (PST) is one of the most devastating diseases of wheat worldwide. To design effective breeding strategies that maximize the potential for durable disease resistance it is important to understand the molecular basis of PST pathogenicity. In particular, the characterisation of the structure, function and evolutionary dynamics of secreted effector proteins that are detected by host immune receptors can help guide and prioritize breeding efforts. However, to date, our knowledge of the effector repertoire of cereal rust pathogens is limited. RESULTS We re-sequenced genomes of four PST isolates from the US and UK to identify effector candidates and relate them to their distinct virulence profiles. First, we assessed SNP frequencies between all isolates, with heterokaryotic SNPs being over tenfold more frequent (5.29 ± 2.23 SNPs/kb) than homokaryotic SNPs (0.41 ± 0.28 SNPs/kb). Next, we implemented a bioinformatics pipeline to integrate genomics, transcriptomics, and effector-focused annotations to identify and classify effector candidates in PST. RNAseq analysis highlighted transcripts encoding secreted proteins that were significantly enriched in haustoria compared to infected tissue. The expression of 22 candidate effector genes was characterised using qRT-PCR, revealing distinct temporal expression patterns during infection in wheat. Lastly, we identified proteins that displayed non-synonymous substitutions specifically between the two UK isolates PST-87/7 and PST-08/21, which differ in virulence to two wheat varieties. By focusing on polymorphic variants enriched in haustoria, we identified five polymorphic effector candidates between PST-87/7 and PST-08/21 among 2,999 secreted proteins. These allelic variants are now a priority for functional validation as virulence/avirulence effectors in the corresponding wheat varieties. CONCLUSIONS Integration of genomics, transcriptomics, and effector-directed annotation of PST isolates has enabled us to move beyond the single isolate-directed catalogues of effector proteins and develop a framework for mining effector proteins in closely related isolates and relate these back to their defined virulence profiles. This should ultimately lead to more comprehensive understanding of the PST pathogenesis system, an important first step towards developing more effective surveillance and management strategies for one of the most devastating pathogens of wheat.
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Affiliation(s)
- Dario Cantu
- Department of Viticulture & Enology, University of California Davis, Davis, USA
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157
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Zhang WJ, Hanisch S, Kwaaitaal M, Pedersen C, Thordal-Christensen H. A component of the Sec61 ER protein transporting pore is required for plant susceptibility to powdery mildew. FRONTIERS IN PLANT SCIENCE 2013; 4:127. [PMID: 23720664 PMCID: PMC3655284 DOI: 10.3389/fpls.2013.00127] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Accepted: 04/18/2013] [Indexed: 05/03/2023]
Abstract
Biotrophic pathogens, like the powdery mildew fungi, require living plant cells for their growth and reproduction. During infection, a specialized structure called the haustorium is formed by the fungus. The haustorium is surrounded by a plant cell-derived extrahaustorial membrane (EHM). Over the EHM, the fungus obtains nutrients from and secretes effector proteins into the plant cell. In the plant cell these effectors interfere with cellular processes such as pathogen defense and membrane trafficking. However, the mechanisms behind effector delivery are largely unknown. This paper provides a model for and new insights into a putative transfer mechanism of effectors into the plant cell. We show that silencing of the barley Sec61βa transcript results in decreased susceptibility to the powdery mildew fungus. HvSec61βa is a component of both the endoplasmic reticulum (ER) translocon and retrotranslocon pores, the latter being part of the ER-associated protein degradation machinery. We provide support for a model suggesting that the retrotranslocon function of HvSec61βa is required for successful powdery mildew fungal infection. HvSec61βa-GFP and a luminal ER marker were co-localized to the ER, which was found to be in close proximity to the EHM around the haustorial body, but not the haustorial fingers. This differential EHM proximity suggests that the ER, including HvSec61βa, may be actively recruited by the haustorium, potentially to provide efficient effector transfer to the cytosol. Effector transport across this EHM-ER interface may occur by a vesicle-mediated process, while the Sec61 retrotranslocon pore potentially provides an escape route for these proteins to reach the cytosol.
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Affiliation(s)
| | | | | | | | - Hans Thordal-Christensen
- *Correspondence: Hans Thordal-Christensen, Section for Plant and Soil Science, Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark. e-mail:
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158
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Zheng W, Huang L, Huang J, Wang X, Chen X, Zhao J, Guo J, Zhuang H, Qiu C, Liu J, Liu H, Huang X, Pei G, Zhan G, Tang C, Cheng Y, Liu M, Zhang J, Zhao Z, Zhang S, Han Q, Han D, Zhang H, Zhao J, Gao X, Wang J, Ni P, Dong W, Yang L, Yang H, Xu JR, Zhang G, Kang Z. High genome heterozygosity and endemic genetic recombination in the wheat stripe rust fungus. Nat Commun 2013; 4:2673. [PMID: 24150273 PMCID: PMC3826619 DOI: 10.1038/ncomms3673] [Citation(s) in RCA: 160] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2013] [Accepted: 09/26/2013] [Indexed: 11/08/2022] Open
Abstract
Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most destructive diseases of wheat. Here we report a 110-Mb draft sequence of Pst isolate CY32, obtained using a 'fosmid-to-fosmid' strategy, to better understand its race evolution and pathogenesis. The Pst genome is highly heterozygous and contains 25,288 protein-coding genes. Compared with non-obligate fungal pathogens, Pst has a more diverse gene composition and more genes encoding secreted proteins. Re-sequencing analysis indicates significant genetic variation among six isolates collected from different continents. Approximately 35% of SNPs are in the coding sequence regions, and half of them are non-synonymous. High genetic diversity in Pst suggests that sexual reproduction has an important role in the origin of different regional races. Our results show the effectiveness of the 'fosmid-to-fosmid' strategy for sequencing dikaryotic genomes and the feasibility of genome analysis to understand race evolution in Pst and other obligate pathogens.
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Affiliation(s)
- Wenming Zheng
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
- Key Laboratory of Physiology, Ecology and Genetic Improvement of Food Crop in Henan Province and College of Life Sciences, Henan Agricultural University, Zhengzhou, Henan Province 450002, China
- These authors contributed equally to this work
| | - Lili Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
- These authors contributed equally to this work
| | - Jinqun Huang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- These authors contributed equally to this work
| | - Xiaojie Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xianming Chen
- USDA-ARS and Department of Plant Pathology, Washington State University, Pullman, Washington 99164-6430, USA
| | - Jie Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jun Guo
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Hua Zhuang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chuangzhao Qiu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Jie Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Huiquan Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xueling Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Guoliang Pei
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Gangming Zhan
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chunlei Tang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yulin Cheng
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Minjie Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jinshan Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhongtao Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Shijie Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qingmei Han
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Hongchang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jing Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiaoning Gao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jianfeng Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Peixiang Ni
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Wei Dong
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Linfeng Yang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Huanming Yang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Jin-Rong Xu
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, USA
| | - Gengyun Zhang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
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Pedersen C, Ver Loren van Themaat E, McGuffin LJ, Abbott JC, Burgis TA, Barton G, Bindschedler LV, Lu X, Maekawa T, Wessling R, Cramer R, Thordal-Christensen H, Panstruga R, Spanu PD. Structure and evolution of barley powdery mildew effector candidates. BMC Genomics 2012; 13:694. [PMID: 23231440 PMCID: PMC3582587 DOI: 10.1186/1471-2164-13-694] [Citation(s) in RCA: 150] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2012] [Accepted: 11/28/2012] [Indexed: 11/11/2022] Open
Abstract
Background Protein effectors of pathogenicity are instrumental in modulating host immunity and disease resistance. The powdery mildew pathogen of grasses Blumeria graminis causes one of the most important diseases of cereal crops. B. graminis is an obligate biotrophic pathogen and as such has an absolute requirement to suppress or avoid host immunity if it is to survive and cause disease. Results Here we characterise a superfamily predicted to be the full complement of Candidates for Secreted Effector Proteins (CSEPs) in the fungal barley powdery mildew parasite B. graminis f.sp. hordei. The 491 genes encoding these proteins constitute over 7% of this pathogen’s annotated genes and most were grouped into 72 families of up to 59 members. They were predominantly expressed in the intracellular feeding structures called haustoria, and proteins specifically associated with the haustoria were identified by large-scale mass spectrometry-based proteomics. There are two major types of effector families: one comprises shorter proteins (100–150 amino acids), with a high relative expression level in the haustoria and evidence of extensive diversifying selection between paralogs; the second type consists of longer proteins (300–400 amino acids), with lower levels of differential expression and evidence of purifying selection between paralogs. An analysis of the predicted protein structures underscores their overall similarity to known fungal effectors, but also highlights unexpected structural affinities to ribonucleases throughout the entire effector super-family. Candidate effector genes belonging to the same family are loosely clustered in the genome and are associated with repetitive DNA derived from retro-transposons. Conclusions We employed the full complement of genomic, transcriptomic and proteomic analyses as well as structural prediction methods to identify and characterize the members of the CSEPs superfamily in B. graminis f.sp. hordei. Based on relative intron position and the distribution of CSEPs with a ribonuclease-like domain in the phylogenetic tree we hypothesize that the associated genes originated from an ancestral gene, encoding a secreted ribonuclease, duplicated successively by repetitive DNA-driven processes and diversified during the evolution of the grass and cereal powdery mildew lineage.
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Affiliation(s)
- Carsten Pedersen
- Department of Agriculture & Ecology, Plant and Soil Science, University ofCopenhagen, Copenhagen, Denmark
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160
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Improved gravitation field algorithm and its application in hierarchical clustering. PLoS One 2012; 7:e49039. [PMID: 23173043 PMCID: PMC3500264 DOI: 10.1371/journal.pone.0049039] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2012] [Accepted: 10/01/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Gravitation field algorithm (GFA) is a new optimization algorithm which is based on an imitation of natural phenomena. GFA can do well both for searching global minimum and multi-minima in computational biology. But GFA needs to be improved for increasing efficiency, and modified for applying to some discrete data problems in system biology. METHOD An improved GFA called IGFA was proposed in this paper. Two parts were improved in IGFA. The first one is the rule of random division, which is a reasonable strategy and makes running time shorter. The other one is rotation factor, which can improve the accuracy of IGFA. And to apply IGFA to the hierarchical clustering, the initial part and the movement operator were modified. RESULTS Two kinds of experiments were used to test IGFA. And IGFA was applied to hierarchical clustering. The global minimum experiment was used with IGFA, GFA, GA (genetic algorithm) and SA (simulated annealing). Multi-minima experiment was used with IGFA and GFA. The two experiments results were compared with each other and proved the efficiency of IGFA. IGFA is better than GFA both in accuracy and running time. For the hierarchical clustering, IGFA is used to optimize the smallest distance of genes pairs, and the results were compared with GA and SA, singular-linkage clustering, UPGMA. The efficiency of IGFA is proved.
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161
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Nikolic N, Smole Z, Krisko A. Proteomic properties reveal phyloecological clusters of Archaea. PLoS One 2012; 7:e48231. [PMID: 23133575 PMCID: PMC3485053 DOI: 10.1371/journal.pone.0048231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2011] [Accepted: 09/28/2012] [Indexed: 11/18/2022] Open
Abstract
In this study, we propose a novel way to describe the variety of environmental adaptations of Archaea. We have clustered 57 Archaea by using a non-redundant set of proteomic features, and verified that the clusters correspond to environmental adaptations to the archaeal habitats. The first cluster consists dominantly of hyperthermophiles and hyperthermoacidophilic aerobes. The second cluster joins together halophilic and extremely halophilic Archaea, while the third cluster contains mesophilic (mostly methanogenic) Archaea together with thermoacidophiles. The non-redundant subset of proteomic features was found to consist of five features: the ratio of charged residues to uncharged, average protein size, normalized frequency of beta-sheet, normalized frequency of extended structure and number of hydrogen bond donors. We propose this clustering to be termed phyloecological clustering. This approach could give additional insights into relationships among archaeal species that may be hidden by sole phylogenetic analysis.
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Affiliation(s)
- Nela Nikolic
- Mediterranean Institute for Life Sciences, Split, Croatia
- Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Zurich, Switzerland
- Department of Environmental Microbiology, Eawag, Duebendorf, Switzerland
| | - Zlatko Smole
- Mediterranean Institute for Life Sciences, Split, Croatia
- Institute of Cell Biology, ETH Zurich, Zurich, Switzerland
| | - Anita Krisko
- Mediterranean Institute for Life Sciences, Split, Croatia
- * E-mail:
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162
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Teixeira PJ, Thomazella DP, Vidal RO, do Prado PF, Reis O, Baroni RM, Franco SF, Mieczkowski P, Pereira GA, Mondego JM. The fungal pathogen Moniliophthora perniciosa has genes similar to plant PR-1 that are highly expressed during its interaction with cacao. PLoS One 2012; 7:e45929. [PMID: 23029323 PMCID: PMC3447762 DOI: 10.1371/journal.pone.0045929] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2012] [Accepted: 08/27/2012] [Indexed: 11/19/2022] Open
Abstract
The widespread SCP/TAPS superfamily (SCP/Tpx-1/Ag5/PR-1/Sc7) has multiple biological functions, including roles in the immune response of plants and animals, development of male reproductive tract in mammals, venom activity in insects and reptiles and host invasion by parasitic worms. Plant Pathogenesis Related 1 (PR-1) proteins belong to this superfamily and have been characterized as markers of induced defense against pathogens. This work presents the characterization of eleven genes homologous to plant PR-1 genes, designated as MpPR-1, which were identified in the genome of Moniliophthora perniciosa, a basidiomycete fungus responsible for causing the devastating witches' broom disease in cacao. We describe gene structure, protein alignment and modeling analyses of the MpPR-1 family. Additionally, the expression profiles of MpPR-1 genes were assessed by qPCR in different stages throughout the fungal life cycle. A specific expression pattern was verified for each member of the MpPR-1 family in the conditions analyzed. Interestingly, some of them were highly and specifically expressed during the interaction of the fungus with cacao, suggesting a role for the MpPR-1 proteins in the infective process of this pathogen. Hypothetical functions assigned to members of the MpPR-1 family include neutralization of plant defenses, antimicrobial activity to avoid competitors and fruiting body physiology. This study provides strong evidence on the importance of PR-1-like genes for fungal virulence on plants.
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Affiliation(s)
- Paulo J.P.L. Teixeira
- Departamento de Genética, Evolução e Bioagentes, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
| | - Daniela P.T. Thomazella
- Departamento de Genética, Evolução e Bioagentes, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
| | - Ramon O. Vidal
- Departamento de Genética, Evolução e Bioagentes, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
- Laboratório Nacional de Biociências, Campinas, São Paulo, Brazil
| | - Paula F.V. do Prado
- Departamento de Genética, Evolução e Bioagentes, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
| | - Osvaldo Reis
- Departamento de Genética, Evolução e Bioagentes, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
| | - Renata M. Baroni
- Departamento de Genética, Evolução e Bioagentes, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
- Centro de Pesquisa e Desenvolvimento em Recursos Genéticos Vegetais, Instituto Agronômico de Campinas, Campinas, São Paulo, Brazil
| | - Sulamita F. Franco
- Departamento de Genética, Evolução e Bioagentes, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
| | - Piotr Mieczkowski
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Gonçalo A.G. Pereira
- Departamento de Genética, Evolução e Bioagentes, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
- * E-mail:
| | - Jorge M.C. Mondego
- Centro de Pesquisa e Desenvolvimento em Recursos Genéticos Vegetais, Instituto Agronômico de Campinas, Campinas, São Paulo, Brazil
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163
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Raffaele S, Kamoun S. Genome evolution in filamentous plant pathogens: why bigger can be better. Nat Rev Microbiol 2012; 10:417-30. [PMID: 22565130 DOI: 10.1038/nrmicro2790] [Citation(s) in RCA: 452] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Many species of fungi and oomycetes are plant pathogens of great economic importance. Over the past 7 years, the genomes of more than 30 of these filamentous plant pathogens have been sequenced, revealing remarkable diversity in genome size and architecture. Whereas the genomes of many parasites and bacterial symbionts have been reduced over time, the genomes of several lineages of filamentous plant pathogens have been shaped by repeat-driven expansions. In these lineages, the genes encoding proteins involved in host interactions are frequently polymorphic and reside within repeat-rich regions of the genome. Here, we review the properties of these adaptable genome regions and the mechanisms underlying their plasticity, and we illustrate cases in which genome plasticity has contributed to the emergence of new virulence traits. We also discuss how genome expansions may have had an impact on the co-evolutionary conflict between these filamentous plant pathogens and their hosts.
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Affiliation(s)
- Sylvain Raffaele
- The Sainsbury Laboratory, Norwich Research Park, Norwich NR4 7UH, UK
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164
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Weßling R, Schmidt SM, Micali CO, Knaust F, Reinhardt R, Neumann U, Ver Loren van Themaat E, Panstruga R. Transcriptome analysis of enriched Golovinomyces orontii haustoria by deep 454 pyrosequencing. Fungal Genet Biol 2012; 49:470-82. [PMID: 22521876 DOI: 10.1016/j.fgb.2012.04.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2012] [Revised: 03/30/2012] [Accepted: 04/03/2012] [Indexed: 12/24/2022]
Abstract
Powdery mildews are phytopathogenic ascomycetes that have an obligate biotrophic lifestyle and establish intimate relationships with their plant hosts. A crucial aspect of this plant-fungus interaction is the formation of specialized fungal infection structures termed haustoria. Although located within the cell boundaries of plant epidermal cells, haustoria remain separated from the plant cytoplasm by a host plasma membrane derivative, the extrahaustorial membrane. Haustoria are thought to represent pivotal sites of nutrient uptake and effector protein delivery. We enriched haustorial complexes from Arabidopsis thaliana plants infected with the powdery mildew fungus Golovinomyces orontii and performed in-depth transcriptome analysis by 454-based pyrosequencing of haustorial cDNAs. We assembled 7077 expressed sequence tag (EST) contigs with greater than 5-fold average coverage and analyzed these with regard to the respective predicted protein functions. We found that transcripts coding for gene products with roles in protein turnover, detoxification of reactive oxygen species and fungal pathogenesis are abundant in the haustorial EST contigs, while surprisingly transcripts encoding presumptive nutrient transporters were not highly represented in the haustorial cDNA library. A substantial proportion (∼38%) of transcripts coding for predicted secreted proteins comprises effector candidates. Our data provide valuable insights into the transcriptome of the key infection structure of a model obligate biotrophic phytopathogen.
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Affiliation(s)
- Ralf Weßling
- Max-Planck-Institute for Plant Breeding Research, Department of Plant-Microbe Interactions, Carl-von-Linné-Weg 10, 50829 Cologne, Germany
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