78 research outputs found

    Therapeutic Breast Reconstruction Using Gene Therapy–Delivered IFNγ Immunotherapy

    Get PDF
    After mastectomy, breast reconstruction is increasingly performed using autologous tissue with the aim of improving quality of life. During this procedure, autologous tissue is excised, relocated, and reattached using vascular anastomoses at the site of the extirpated breast. The period during which the tissue is ex vivo may allow genetic modification without any systemic exposure to the vector. Could such access be used to deliver therapeutic agents using the tissue flap as a vehicle? Such delivery may be more efficient than systemic treatment, in terms of oncological outcomes. The cytokine interferon gamma (IFNγ) has antitumor effects, but systemic toxicity that could be circumvented if its effect can be localized by delivery of the IFNγ gene via gene therapy to autologous tissue used for breast reconstruction, which then releases IFNγ and exerts anti-tumor effects. In a rat model of loco-regional recurrence (LRR) using both MADB-106-Luc and MAD-MB-231-Luc breast cancer cells, autologous tissue was transduced ex vivo with an adeno-associated viral vector (AAV) encoding IFNγ. The therapeutic reconstruction released IFNγ at the LRR site and eliminated cancer cells, significantly decreased tumor burden (P<0.05), and increased survival by 33% (P<0.05) compared to sham reconstruction. Mechanistically, localized IFNγ immunotherapy stimulated M1 macrophages to target cancer cells within the regional confines of the modified tumor environment. This concept of therapeutic breast reconstruction using ex vivo gene therapy of autologous tissue offers a new application for immunotherapy in breast cancer with a dual therapeutic effect of both reconstructing the ablative defect and delivering local adjuvant immunotherapy

    Molecular Systematics of the Deep-Sea Hydrothermal Vent Endemic Brachyuran Family Bythograeidae: A Comparison of Three Bayesian Species Tree Methods

    Get PDF
    Brachyuran crabs of the family Bythograeidae are endemic to deep-sea hydrothermal vents and represent one of the most successful groups of macroinvertebrates that have colonized this extreme environment. Occurring worldwide, the family includes six genera (Allograea, Austinograea, Bythograea, Cyanagraea, Gandalfus, and Segonzacia) and fourteen formally described species. To investigate their evolutionary relationships, we conducted Maximum Likelihood and Bayesian molecular phylogenetic analyses, based on DNA sequences from fragments of three mitochondrial genes (16S rDNA, Cytochrome oxidase I, and Cytochrome b) and three nuclear genes (28S rDNA, the sodium–potassium ATPase a-subunit ‘NaK’, and Histone H3A). We employed traditional concatenated (i.e., supermatrix) phylogenetic methods, as well as three recently developed Bayesian multilocus methods aimed at inferring species trees from potentially discordant gene trees. We found strong support for two main clades within Bythograeidae: one comprising the members of the genus Bythograea; and the other comprising the remaining genera. Relationships within each of these two clades were partially resolved. We compare our results with an earlier hypothesis on the phylogenetic relationships among bythograeid genera based on morphology. We also discuss the biogeography of the family in the light of our results. Our species tree analyses reveal differences in how each of the three methods weighs conflicting phylogenetic signal from different gene partitions and how limits on the number of outgroup taxa may affect the results

    Analysis of the dihydrofolate reductase-thymidylate synthase gene sequences in Plasmodium vivax field isolates that failed chloroquine treatment

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>To use pyrimethamine as an alternative anti-malarial drug for chloroquine-resistant malaria parasites, it was necessary to determine the enzyme's genetic variation in dihydrofolate reductase-thymidylate syntase (DHFR-TS) among Korean strains.</p> <p>Methods</p> <p>Genetic variation of <it>dhfr-ts </it>genes of <it>Plasmodium vivax </it>clinical isolates from patients who did not respond to drug treatment (<it>n </it>= 11) in Korea were analysed. The genes were amplified using the polymerase chain reaction (PCR) with genomic DNA as a template.</p> <p>Results</p> <p>Sequence analysis showed that the open reading frame (ORF) of 1,857 nucleotides encoded a deduced protein of 618 amino acids (aa). Alignment with the DHFR-TS genes of other malaria parasites showed that a 231-residue DHFR domain and a 286-residue TS domain were seperated by a 101-aa linker region. This ORF shows 98.7% homology with the <it>P. vivax </it>Sal I strain (XM001615032) in the DHFR domain, 100% in the linker region and 99% in the TS domain. Comparison of the DHFR sequences from pyrimethamine-sensitive and pyrimethamine-resistant <it>P. vivax </it>isolates revealed that nine isolates belonged to the sensitive strain, whereas two isolates met the criteria for resistance. In these two isolates, the amino acid at position 117 is changed from serine to asparagine (S117N). Additionally, all Korean isolates showed a deletion mutant of THGGDN in short tandem repetitive sequences between 88 and 106 amino acid.</p> <p>Conclusions</p> <p>These results suggest that sequence variations in the DHFR-TS represent the prevalence of antifolate-resistant <it>P. vivax </it>in Korea. Two of 11 isolates have the Ser to Asn mutation in codon 117, which is the major determinant of pyrimethamine resistance in <it>P. vivax</it>. Therefore, the introduction of pyrimethamine for the treatment of chloroquine-resistant vivax malaria as alternative drug in Korea should be seriously considered.</p

    Armadillo 1.1: An Original Workflow Platform for Designing and Conducting Phylogenetic Analysis and Simulations

    Get PDF
    In this paper we introduce Armadillo v1.1, a novel workflow platform dedicated to designing and conducting phylogenetic studies, including comprehensive simulations. A number of important phylogenetic and general bioinformatics tools have been included in the first software release. As Armadillo is an open-source project, it allows scientists to develop their own modules as well as to integrate existing computer applications. Using our workflow platform, different complex phylogenetic tasks can be modeled and presented in a single workflow without any prior knowledge of programming techniques. The first version of Armadillo was successfully used by professors of bioinformatics at Université du Quebec à Montreal during graduate computational biology courses taught in 2010–11. The program and its source code are freely available at: <http://www.bioinfo.uqam.ca/armadillo>

    Spontaneous Abortion and Preterm Labor and Delivery in Nonhuman Primates: Evidence from a Captive Colony of Chimpanzees (Pan troglodytes)

    Get PDF
    Preterm birth is a leading cause of perinatal mortality, yet the evolutionary history of this obstetrical syndrome is largely unknown in nonhuman primate species.We examined the length of gestation during pregnancies that occurred in a captive chimpanzee colony by inspecting veterinary and behavioral records spanning a total of thirty years. Upon examination of these records we were able to confidently estimate gestation length for 93 of the 97 (96%) pregnancies recorded at the colony. In total, 78 singleton gestations resulted in live birth, and from these pregnancies we estimated the mean gestation length of normal chimpanzee pregnancies to be 228 days, a finding consistent with other published reports. We also calculated that the range of gestation in normal chimpanzee pregnancies is approximately forty days. Of the remaining fifteen pregnancies, only one of the offspring survived, suggesting viability for chimpanzees requires a gestation of approximately 200 days. These fifteen pregnancies constitute spontaneous abortions and preterm deliveries, for which the upper gestational age limit was defined as 2 SD from the mean length of gestation (208 days).The present study documents that preterm birth occurred within our study population of captive chimpanzees. As in humans, pregnancy loss is not uncommon in chimpanzees, In addition, our findings indicate that both humans and chimpanzees show a similar range of normal variation in gestation length, suggesting this was the case at the time of their last common ancestor (LCA). Nevertheless, our data suggest that whereas chimpanzees' normal gestation length is ∼20-30 days after reaching viability, humans' normal gestation length is approximately 50 days beyond the estimated date of viability without medical intervention. Future research using a comparative evolutionary framework should help to clarify the extent to which mechanisms at work in normal and preterm parturition are shared in these species

    High-throughput profiling of caenorhabditis elegans starvation-responsive microRNAs

    Get PDF
    MicroRNAs (miRNAs) are non-coding RNAs of ~22 nucleotides in length that regulate gene expression by interfering with the stability and translation of mRNAs. Their expression is regulated during development, under a wide variety of stress conditions and in several pathological processes. In nature, animals often face feast or famine conditions. We observed that subjecting early L4 larvae from Caenorhabditis elegans to a 12-hr starvation period produced worms that are thinner and shorter than well-fed animals, with a decreased lipid accumulation, diminished progeny, reduced gonad size, and an increased lifespan. Our objective was to identify which of the 302 known miRNAs of C. elegans changed their expression under starvation conditions as compared to well-fed worms by means of deep sequencing in early L4 larvae. Our results indicate that 13 miRNAs (miR-34-3p, the family of miR-35-3p to miR-41-3p, miR-39-5p, miR-41-5p, miR-240-5p, miR-246-3p and miR-4813-5p) were upregulated, while 2 miRNAs (let-7-3p and miR-85-5p) were downregulated in 12-hr starved vs. well-fed early L4 larvae. Some of the predicted targets of the miRNAs that changed their expression in starvation conditions are involved in metabolic or developmental process. In particular, miRNAs of the miR-35 family were upregulated 6-20 fold upon starvation. Additionally, we showed that the expression of gld-1, important in oogenesis, a validated target of miR-35-3p, was downregulated when the expression of miR-35-3p was upregulated. The expression of another reported target, the cell cycle regulator lin-23, was unchanged during starvation. This study represents a starting point for a more comprehensive understanding of the role of miRNAs during starvation in C. elegans

    Dolutegravir twice-daily dosing in children with HIV-associated tuberculosis: a pharmacokinetic and safety study within the open-label, multicentre, randomised, non-inferiority ODYSSEY trial

    Get PDF
    Background: Children with HIV-associated tuberculosis (TB) have few antiretroviral therapy (ART) options. We aimed to evaluate the safety and pharmacokinetics of dolutegravir twice-daily dosing in children receiving rifampicin for HIV-associated TB. Methods: We nested a two-period, fixed-order pharmacokinetic substudy within the open-label, multicentre, randomised, controlled, non-inferiority ODYSSEY trial at research centres in South Africa, Uganda, and Zimbabwe. Children (aged 4 weeks to <18 years) with HIV-associated TB who were receiving rifampicin and twice-daily dolutegravir were eligible for inclusion. We did a 12-h pharmacokinetic profile on rifampicin and twice-daily dolutegravir and a 24-h profile on once-daily dolutegravir. Geometric mean ratios for trough plasma concentration (Ctrough), area under the plasma concentration time curve from 0 h to 24 h after dosing (AUC0–24 h), and maximum plasma concentration (Cmax) were used to compare dolutegravir concentrations between substudy days. We assessed rifampicin Cmax on the first substudy day. All children within ODYSSEY with HIV-associated TB who received rifampicin and twice-daily dolutegravir were included in the safety analysis. We described adverse events reported from starting twice-daily dolutegravir to 30 days after returning to once-daily dolutegravir. This trial is registered with ClinicalTrials.gov (NCT02259127), EudraCT (2014–002632-14), and the ISRCTN registry (ISRCTN91737921). Findings: Between Sept 20, 2016, and June 28, 2021, 37 children with HIV-associated TB (median age 11·9 years [range 0·4–17·6], 19 [51%] were female and 18 [49%] were male, 36 [97%] in Africa and one [3%] in Thailand) received rifampicin with twice-daily dolutegravir and were included in the safety analysis. 20 (54%) of 37 children enrolled in the pharmacokinetic substudy, 14 of whom contributed at least one evaluable pharmacokinetic curve for dolutegravir, including 12 who had within-participant comparisons. Geometric mean ratios for rifampicin and twice-daily dolutegravir versus once-daily dolutegravir were 1·51 (90% CI 1·08–2·11) for Ctrough, 1·23 (0·99–1·53) for AUC0–24 h, and 0·94 (0·76–1·16) for Cmax. Individual dolutegravir Ctrough concentrations were higher than the 90% effective concentration (ie, 0·32 mg/L) in all children receiving rifampicin and twice-daily dolutegravir. Of 18 children with evaluable rifampicin concentrations, 15 (83%) had a Cmax of less than the optimal target concentration of 8 mg/L. Rifampicin geometric mean Cmax was 5·1 mg/L (coefficient of variation 71%). During a median follow-up of 31 weeks (IQR 30–40), 15 grade 3 or higher adverse events occurred among 11 (30%) of 37 children, ten serious adverse events occurred among eight (22%) children, including two deaths (one tuberculosis-related death, one death due to traumatic injury); no adverse events, including deaths, were considered related to dolutegravir. Interpretation: Twice-daily dolutegravir was shown to be safe and sufficient to overcome the rifampicin enzyme-inducing effect in children, and could provide a practical ART option for children with HIV-associated TB

    The Use of Genus-Specific Amplicon Pyrosequencing to Assess Phytophthora Species Diversity Using eDNA from Soil and Water in Northern Spain

    Full text link
    [EN] Phytophthora is one of the most important and aggressive plant pathogenic genera in agriculture and forestry. Early detection and identification of its pathways of infection and spread are of high importance to minimize the threat they pose to natural ecosystems. eDNA was extracted from soil and water from forests and plantations in the north of Spain. Phytophthora-specific primers were adapted for use in high-throughput Sequencing (HTS). Primers were tested in a control reaction containing eight Phytophthora species and applied to water and soil eDNA samples from northern Spain. Different score coverage threshold values were tested for optimal Phytophthora species separation in a custom-curated database and in the control reaction. Clustering at 99% was the optimal criteria to separate most of the Phytophthora species. Multiple Molecular Operational Taxonomic Units (MOTUs) corresponding to 36 distinct Phytophthora species were amplified in the environmental samples. Pyrosequencing of amplicons from soil samples revealed low Phytophthora diversity (13 species) in comparison with the 35 species detected in water samples. Thirteen of the MOTUs detected in rivers and streams showed no close match to sequences in international sequence databases, revealing that eDNA pyrosequencing is a useful strategy to assess Phytophthora species diversity in natural ecosystems.This project has been supported by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (EUPHRESCO-CEP: "Current and Emerging Phytophthoras: Research Supporting Risk Assessment And Risk Management"). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Català, S.; Pérez Sierra, AM.; Abad Campos, P. (2015). The Use of Genus-Specific Amplicon Pyrosequencing to Assess Phytophthora Species Diversity Using eDNA from Soil and Water in Northern Spain. PLoS ONE. 10(3):1-14. doi:10.1371/journal.pone.0119311S114103REICHARD, S. H., & WHITE, P. (2001). Horticulture as a Pathway of Invasive Plant Introductions in the United States. BioScience, 51(2), 103. doi:10.1641/0006-3568(2001)051[0103:haapoi]2.0.co;2Brasier, C. M. (2008). The biosecurity threat to the UK and global environment from international trade in plants. Plant Pathology, 57(5), 792-808. doi:10.1111/j.1365-3059.2008.01886.xTABERLET, P., COISSAC, E., HAJIBABAEI, M., & RIESEBERG, L. H. (2012). Environmental DNA. Molecular Ecology, 21(8), 1789-1793. doi:10.1111/j.1365-294x.2012.05542.xSogin, M. L., Morrison, H. G., Huber, J. A., Welch, D. M., Huse, S. M., Neal, P. R., … Herndl, G. J. (2006). Microbial diversity in the deep sea and the underexplored «rare biosphere». Proceedings of the National Academy of Sciences, 103(32), 12115-12120. doi:10.1073/pnas.0605127103Roesch, L. F. W., Fulthorpe, R. R., Riva, A., Casella, G., Hadwin, A. K. M., Kent, A. D., … Triplett, E. W. (2007). Pyrosequencing enumerates and contrasts soil microbial diversity. The ISME Journal, 1(4), 283-290. doi:10.1038/ismej.2007.53Acosta-Martínez, V., Dowd, S., Sun, Y., & Allen, V. (2008). Tag-encoded pyrosequencing analysis of bacterial diversity in a single soil type as affected by management and land use. Soil Biology and Biochemistry, 40(11), 2762-2770. doi:10.1016/j.soilbio.2008.07.022Jumpponen, A., & Jones, K. L. (2009). Massively parallel 454 sequencing indicates hyperdiverse fungal communities in temperateQuercus macrocarpaphyllosphere. New Phytologist, 184(2), 438-448. doi:10.1111/j.1469-8137.2009.02990.xNilsson, R. H., Ryberg, M., Abarenkov, K., Sjökvist, E., & Kristiansson, E. (2009). The ITS region as a target for characterization of fungal communities using emerging sequencing technologies. FEMS Microbiology Letters, 296(1), 97-101. doi:10.1111/j.1574-6968.2009.01618.xCoince, A., Caël, O., Bach, C., Lengellé, J., Cruaud, C., Gavory, F., … Buée, M. (2013). Below-ground fine-scale distribution and soil versus fine root detection of fungal and soil oomycete communities in a French beech forest. Fungal Ecology, 6(3), 223-235. doi:10.1016/j.funeco.2013.01.002Vannini, A., Bruni, N., Tomassini, A., Franceschini, S., & Vettraino, A. M. (2013). Pyrosequencing of environmental soil samples reveals biodiversity of thePhytophthoraresident community in chestnut forests. FEMS Microbiology Ecology, 85(3), 433-442. doi:10.1111/1574-6941.12132Jerde, C. L., Mahon, A. R., Chadderton, W. L., & Lodge, D. M. (2011). «Sight-unseen» detection of rare aquatic species using environmental DNA. Conservation Letters, 4(2), 150-157. doi:10.1111/j.1755-263x.2010.00158.xMonchy, S., Sanciu, G., Jobard, M., Rasconi, S., Gerphagnon, M., Chabé, M., … Sime-Ngando, T. (2011). Exploring and quantifying fungal diversity in freshwater lake ecosystems using rDNA cloning/sequencing and SSU tag pyrosequencing. Environmental Microbiology, 13(6), 1433-1453. doi:10.1111/j.1462-2920.2011.02444.xJobard, M., Rasconi, S., Solinhac, L., Cauchie, H.-M., & Sime-Ngando, T. (2012). Molecular and morphological diversity of fungi and the associated functions in three European nearby lakes. Environmental Microbiology, 14(9), 2480-2494. doi:10.1111/j.1462-2920.2012.02771.xLivermore, J. A., & Mattes, T. E. (2013). Phylogenetic detection of novel Cryptomycota in an Iowa (United States) aquifer and from previously collected marine and freshwater targeted high-throughput sequencing sets. Environmental Microbiology, 15(8), 2333-2341. doi:10.1111/1462-2920.12106NAKAYAMA, J., JIANG, J., WATANABE, K., CHEN, K., NINXIN, H., MATSUDA, K., … LEE, Y.-K. (2013). Up to Species-level Community Analysis of Human Gut Microbiota by 16S rRNA Amplicon Pyrosequencing. Bioscience of Microbiota, Food and Health, 32(2), 69-76. doi:10.12938/bmfh.32.69CREER, S., & SINNIGER, F. (2012). Cosmopolitanism of microbial eukaryotes in the global deep seas. Molecular Ecology, 21(5), 1033-1035. doi:10.1111/j.1365-294x.2012.05437.xDavey, M. L., Heegaard, E., Halvorsen, R., Kauserud, H., & Ohlson, M. (2012). Amplicon-pyrosequencing-based detection of compositional shifts in bryophyte-associated fungal communities along an elevation gradient. Molecular Ecology, 22(2), 368-383. doi:10.1111/mec.12122Weber, C. F., Vilgalys, R., & Kuske, C. R. (2013). Changes in Fungal Community Composition in Response to Elevated Atmospheric CO2 and Nitrogen Fertilization Varies with Soil Horizon. Frontiers in Microbiology, 4. doi:10.3389/fmicb.2013.00078Bergmark, L., Poulsen, P. H. B., Al-Soud, W. A., Norman, A., Hansen, L. H., & Sørensen, S. J. (2012). Assessment of the specificity of Burkholderia and Pseudomonas qPCR assays for detection of these genera in soil using 454 pyrosequencing. FEMS Microbiology Letters, 333(1), 77-84. doi:10.1111/j.1574-6968.2012.02601.xLi, L., Abu Al-Soud, W., Bergmark, L., Riber, L., Hansen, L. H., Magid, J., & Sørensen, S. J. (2013). Investigating the Diversity of Pseudomonas spp. in Soil Using Culture Dependent and Independent Techniques. Current Microbiology, 67(4), 423-430. doi:10.1007/s00284-013-0382-xSCHENA, L., HUGHES, K. J. D., & COOKE, D. E. L. (2006). Detection and quantification ofPhytophthora ramorum,P. kernoviae,P. citricolaandP. quercinain symptomatic leaves by multiplex real-time PCR. Molecular Plant Pathology, 7(5), 365-379. doi:10.1111/j.1364-3703.2006.00345.xTooley, P. W., Martin, F. N., Carras, M. M., & Frederick, R. D. (2006). Real-Time Fluorescent Polymerase Chain Reaction Detection ofPhytophthora ramorumandPhytophthora pseudosyringaeUsing Mitochondrial Gene Regions. Phytopathology, 96(4), 336-345. doi:10.1094/phyto-96-0336Pavón, C. F., Babadoost, M., & Lambert, K. N. (2008). Quantification of Phytophthora capsici Oospores in Soil by Sieving-Centrifugation and Real-Time Polymerase Chain Reaction. Plant Disease, 92(1), 143-149. doi:10.1094/pdis-92-1-0143Than, D. J., Hughes, K. J. D., Boonhan, N., Tomlinson, J. A., Woodhall, J. W., & Bellgard, S. E. (2013). A TaqMan real-time PCR assay for the detection ofPhytophthora‘taxon Agathis’ in soil, pathogen of Kauri in New Zealand. Forest Pathology, 43(4), 324-330. doi:10.1111/efp.12034Chen, W., Djama, Z. R., Coffey, M. D., Martin, F. N., Bilodeau, G. J., Radmer, L., … Lévesque, C. A. (2013). Membrane-Based Oligonucleotide Array Developed from Multiple Markers for the Detection of Many Phytophthora Species. Phytopathology, 103(1), 43-54. doi:10.1094/phyto-04-12-0092-rScibetta, S., Schena, L., Chimento, A., Cacciola, S. O., & Cooke, D. E. L. (2012). A molecular method to assess Phytophthora diversity in environmental samples. Journal of Microbiological Methods, 88(3), 356-368. doi:10.1016/j.mimet.2011.12.012Català S, Pérez-Sierra A, Berbegal M, Abad-Campos P. First approach into the knowledge of the Phytophthora species diversity in Mediterranean holm oak forests based on 454 parallel amplicon pyrosequencing of soil samples. Phytophthora in Forest and Natural Ecosystems 6th International IUFRO Working Party 7.02.09 Meeting, Córdoba, Spain, pp 34; 2012.Català S, Pérez-Sierra A, Beltrán A, Abad-Campos P. Next Generation Sequencing shows Phytophthora species diversity in soil samples of Macaronesian laurel forests from the Canary Islands. Phytophthora in Forest and Natural Ecosystems 6th International IUFRO Working Party 7.02.09 Meeting, Córdoba, Spain, pp. 86; 2012.Cooke, D. E. L., Drenth, A., Duncan, J. M., Wagels, G., & Brasier, C. M. (2000). A Molecular Phylogeny of Phytophthora and Related Oomycetes. Fungal Genetics and Biology, 30(1), 17-32. doi:10.1006/fgbi.2000.1202Andrews S. FastQC: a quality control tool for high throughput sequence data. Available: http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc/Chou, H.-H., & Holmes, M. H. (2001). DNA sequence quality trimming and vector removal. Bioinformatics, 17(12), 1093-1104. doi:10.1093/bioinformatics/17.12.1093Altschul, S. (1997). Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Research, 25(17), 3389-3402. doi:10.1093/nar/25.17.3389Edgar, R. C. (2004). MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research, 32(5), 1792-1797. doi:10.1093/nar/gkh340Gouy, M., Guindon, S., & Gascuel, O. (2009). SeaView Version 4: A Multiplatform Graphical User Interface for Sequence Alignment and Phylogenetic Tree Building. Molecular Biology and Evolution, 27(2), 221-224. doi:10.1093/molbev/msp259Park, J., Park, B., Veeraraghavan, N., Jung, K., Lee, Y.-H., Blair, J. E., … Kang, S. (2008). Phytophthora Database: A Forensic Database Supporting the Identification and Monitoring of Phytophthora. Plant Disease, 92(6), 966-972. doi:10.1094/pdis-92-6-0966Vettraino, A. M., Bonants, P., Tomassini, A., Bruni, N., & Vannini, A. (2012). Pyrosequencing as a tool for the detection ofPhytophthoraspecies: error rate and risk of false Molecular Operational Taxonomic Units. Letters in Applied Microbiology, 55(5), 390-396. doi:10.1111/j.1472-765x.2012.03310.xJung, T., & Burgess, T. I. (2009). Re-evaluation of Phytophthora citricola isolates from multiple woody hosts in Europe and North America reveals a new species, Phytophthora plurivora sp. nov. Persoonia - Molecular Phylogeny and Evolution of Fungi, 22(1), 95-110. doi:10.3767/003158509x442612Deagle, B. E., Eveson, J. P., & Jarman, S. N. (2006). Quantification of damage in DNA recovered from highly degraded samples – a case study on DNA in faeces. Frontiers in Zoology, 3(1). doi:10.1186/1742-9994-3-11Dejean, T., Valentini, A., Duparc, A., Pellier-Cuit, S., Pompanon, F., Taberlet, P., & Miaud, C. (2011). Persistence of Environmental DNA in Freshwater Ecosystems. PLoS ONE, 6(8), e23398. doi:10.1371/journal.pone.0023398Guha Roy S, Grunwald NJ. The plant destroyer genus Phytophthora in the 21st century. In book: Review of Plant Pathology, Edition: Volume 6, Publisher: Scientific Publishers (India), Jodhpur, Editors: B.N.Chakraborty, B.B.L.Thakore, pp. In press; 2014.Brasier, C. M., Cooke, D. E. L., Duncan, J. M., & Hansen, E. M. (2003). Multiple new phenotypic taxa from trees and riparian ecosystems in Phytophthora gonapodyides-P. megasperma ITS Clade 6, which tend to be high-temperature tolerant and either inbreeding or sterile. Mycological Research, 107(3), 277-290. doi:10.1017/s095375620300738xHüberli, D., Hardy, G. E. S. J., White, D., Williams, N., & Burgess, T. I. (2013). Fishing for Phytophthora from Western Australia’s waterways: a distribution and diversity survey. Australasian Plant Pathology, 42(3), 251-260. doi:10.1007/s13313-012-0195-6Jung, T., Stukely, M. J. C., Hardy, G. E. S. J., White, D., Paap, T., Dunstan, W. A., & Burgess, T. I. (2011). Multiple new Phytophthora species from ITS Clade 6 associated with natural ecosystems in Australia: evolutionary and ecological implications. Persoonia - Molecular Phylogeny and Evolution of Fungi, 26(1), 13-39. doi:10.3767/003158511x557577Brasier, C. M., Sanchez-Hernandez, E., & Kirk, S. A. (2003). Phytophthora inundata sp. nov., a part heterothallic pathogen of trees and shrubs in wet or flooded soils. Mycological Research, 107(4), 477-484. doi:10.1017/s0953756203007548Hansen, E. M., Reeser, P. W., & Sutton, W. (2012). PhytophthoraBeyond Agriculture. Annual Review of Phytopathology, 50(1), 359-378. doi:10.1146/annurev-phyto-081211-172946Reeser, P. W., Sutton, W., Hansen, E. M., Remigi, P., & Adams, G. C. (2011). Phytophthora species in forest streams in Oregon and Alaska. Mycologia, 103(1), 22-35. doi:10.3852/10-013Nechwatal, J., Bakonyi, J., Cacciola, S. O., Cooke, D. E. L., Jung, T., Nagy, Z. Á., … Brasier, C. M. (2012). The morphology, behaviour and molecular phylogeny ofPhytophthorataxon Salixsoil and its redesignation asPhytophthora lacustrissp. nov. Plant Pathology, 62(2), 355-369. doi:10.1111/j.1365-3059.2012.02638.xHuai, W. -x., Tian, G., Hansen, E. M., Zhao, W. -x., Goheen, E. M., Grünwald, N. J., & Cheng, C. (2013). Identification ofPhytophthoraspecies baited and isolated from forest soil and streams in northwestern Yunnan province, China. Forest Pathology, 43(2), 87-103. doi:10.1111/efp.12015Oh, E., Gryzenhout, M., Wingfield, B. D., Wingfield, M. J., & Burgess, T. I. (2013). Surveys of soil and water reveal a goldmine of Phytophthora diversity in South African natural ecosystems. IMA Fungus, 4(1), 123-131. doi:10.5598/imafungus.2013.04.01.1
    corecore