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Genetic polymorphisms predict response to anti-tumor necrosis factor treatment in Crohn's disease

World Journal of Gastroenterology 2017年第27期23卷 4958-4967页

作者： Uri Netz Jane Victoria Carter Maurice Robert Eichenberger Gerald Wayne Dryden Jianmin Pan shesh nath rai Susan Galandiuk Price Institute of Surgical Research the Hiram C.Polk Jr.MD Department of SurgeryUniversity of Louisville School of Medicine Department of Surgery A Soroka University Medical Center Faculty of Health Sciences Ben-Gurion University of the Negev Department of Medicine Division of GastroenterologyHepatology and Nutrition University of Louisville School of Medicine Louisville Department of Bioinformatics and Biostatistics University of Louisville School of Public Health and Information Sciences

To investigate genetic factors that might help define which Crohn’s disease (CD) patients are likely to benefit from anti-tumor necrosis factor (TNF) therapy. METHODSThis was a prospective cohort study. Patients were recruited from a university digestive disease practice database. We included CD patients who received anti-TNF therapy, had available medical records (with information on treatment duration and efficacy) and who consented to participation. Patients with allergic reactions were excluded. Patients were grouped as ever-responders or non-responders. Genomic DNA was extracted from peripheral blood, and 7 single nucleotide polymorphisms (SNPs) were assessed. The main outcome measure (following exposure to the drug) was response to therapy. The patient genotypes were assessed as the predictors of outcome. Possible confounders and effect modifiers included age, gender, race, and socioeconomic status disease, as well as disease characteristics (such as Montreal criteria). RESULTS121 patients were included. Twenty-one were non-responders, and 100 were ever-responders. Fas ligand SNP (rs763110) genotype frequencies, TNF gene -308 SNP (rs1800629) genotype frequencies, and their combination, were significantly different between groups on multivariable analysis controlling for Montreal disease behavior and perianal disease. The odds of a patient with a Fas ligand CC genotype being a non-responder were four-fold higher as compared to a TC or TT genotype (P = 0.009, OR = 4.30, 95%CI: 1.45-12.80). The presence of the A (minor) TNF gene -308 allele correlated with three-fold higher odds of being a non-responder (P = 0.049, OR = 2.88, 95%CI: 1.01-8.22). Patients with the combination of the Fas ligand CC genotype and the TNF -308 A allele had nearly five-fold higher odds of being a non-responder (P = 0.015, OR = 4.76, 95%CI: 1.35-16.77). No difference was seen for the remaining SNPs. CONCLUSIONThe Fas-ligand SNP and TNF gene -308 SNP are associated with anti-TNF treatment

关键词： Anti-tumor necrosis factor Fas ligand Antibody Response Crohn’s disease Single nucleotide polymorphisms Genotype Tumor necrosis factor gene

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Analysis of thermal injuries using classical Fourier and DPL models for multi-layer of skin under different boundary conditions

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International Journal of Biomathematics 2021年第6期14卷 85-114页

作者： Rajneesh Kumar Chaudhary Dinesh Kumar Kabindra nath rai Jitendra Singh Department of Mathematics Institute of Science Banaras Hindu UniversityVaranasi-221005India Department of Mathematics Govt.Polytechnic College Nawada-805122BiharIndia Department of Mathematical Sciences IIT-BHU Varanasi-221005India

In this paper,the temperature distribution in the multi-layer of the skin is studied when the skin surface is subjected to most generalized boundary *** skin model consists of three layers known as the epidermis,dermis,and subcutaneous *** layers of skin are assumed to be connected with point of interface condition and taking the barrier in between each of the two layers by symmetric flux condition and analyzing each layer *** classical Fourier and non-Fourier(DPL)models are extended to analyze the behavior of heat transfer in the multi-layer of the *** Laplace transform technique is used to derive analytical solutions for the multi-layer of skin *** effects of the variability of different parameters such as relaxation time,layer thickness,and different types of boundary conditions on the behavior of temperature distribution in the multi-layer of skin are analyzed and discussed in *** the effects are shown *** has been observed that during temperature distribution in the multi-layer of skin,the measurement of skin damage is less on the DPL model(rq>Tt)in comparison to the classical Fourier model.

关键词： Skin of multi-layer generalized boundary condition dual-phase lagging burn effect relaxation time Laplace transform technique

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Microbiome data analysis with applications to pre-clinical studies using QIIME2: Statistical considerations

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Genes & Diseases 2021年第2期8卷 215-223页

作者： shesh N.rai Chen Qian Jianmin Pan Jayesh P.rai Ming Song Juhi Bagaitkar Michael Merchant Matthew Cave Nejat K.Egilmez Craig J.McClain Biostatistics and Bioinformatics Facility James Graham Brown Cancer CenterUniversity of LouisvilleLouisvilleKY40202USA Department of Biostatistics and Bioinformatics University of LouisvilleLouisvilleKY40202USA University of Louisville Alcohol Research Center University of LouisvilleLouisvilleKY40202USA University of Louisville Hepatobiology&Toxicology Center University of LouisvilleLouisvilleKY40202USA Department of Oral Immunology&Infectious Diseases University of LouisvilleLouisvilleKY40202USA Department of Medicine University of LouisvilleLouisvilleKY40202USA Robley Rex Louisville VAMC LouisvilleKY40206USA Department of Microbiology&Immunology University of LouisvilleLouisvilleKY40202USA

Diversity analysis and taxonomic profiles can be generated from marker-gene sequence data with the help of many available computational *** Quantitative Insights into Microbial Ecology Version 2(QIIME2)has been widely used for 16S rRNA data *** many articles have demonstrated the use of QIIME2 with suitable datasets,the application to preclinical data has rarely been talked *** issues involved in the pre-clinical data include the low-quality score and small sample size that should be addressed properly during *** addition,there are few articles that discuss the detailed statistical methods behind those alpha and beta diversity significance tests that researchers are eager to *** the program without knowing the logic behind it is extremely *** this article,we first provide a guideline for analyzing 16S rRNA data using *** we will talk about issues in pre-clinical data,and how they could impact the ***,we provide brief explanations of statistical methods such as group significance tests and sample size calculation.

关键词： 16S rRNA gene Alpha diversity ANOVA Beta diversity Bioinformatics Microbiome data QIIME Sample size calculation

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Studying the efficacy of isolation as a control strategy and elimination of tuberculosis in India:A mathematical model

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Infectious Disease Modelling 2023年第2期8卷 458-470页

作者： Archana Singh Bhadauria Hom nath Dhungana Vinay Verma Stephen Woodcock Tapan rai Department of Mathematics and Statistics Deen Dayal Upadhyaya Gorakhpur UniversityIndia School of Mathematical and Physical Sciences University of Technology SydneyAustralia Faculty of Mathematical and Statistical Sciences Institute of Natural Sciences and HumanitiesShri Ramswaroop Memorial UniversityUttar PradeshIndia

India has the highest burden of both tuberculosis(TB)and multidrug-resistant TB(MDRTB)based on the WHO Global TB Report *** the available data suggest that the total TB incidence has declined,the absolute number of new cases is still *** number of reported TB cases in India in 2018 was 2.2 million,which was 1.5 million in *** 47%increment in TB case notification in India within a decade shows a persistent public health *** contributes about 22%of the World's TB *** National Strategic Plan 2017e2025,sets out the government plans to eliminate TB by ***,the milestone seems unrealistic to achieve the TB eradication goal by *** developed a five-dimensional mathematical model to understand the TB dynamics in India and investigate the possibility of the earliest TB eradication time *** model stratifies the entire TB class into three different classes as drug-sensitive(DS),MDR,and isolated *** effective reproduction number,equilibrium points,and stability analysis of the model were carried *** model predicts the total estimated cases of DS-TB and MDR-TB from 2018 to 2035 through numerical simulation and suggests that TB may be eliminated by 2035 in India if the treatment success rate could be achieved to 95%,by contact tracing and isolating at least 50%of MDR-TB.

关键词： Multi-drug resistant Drug-sensitive Isolation Reproduction number Mathematical modelling

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Proteomics and metabolic phenotyping define principal roles for the aryl hydrocarbon receptor in mouse liver

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Acta Pharmaceutica Sinica B 2021年第12期11卷 3806-3819页

作者： Jian Jin Banrida Wahlang Monika Thapa Kimberly Z.Head Josiah E.Hardesty Sudhir Srivastava Michael L.Merchant shesh N.rai Russell A.Prough Matthew C.Cave Department of Pharmacology&Toxicology theUniversity of Louisville School ofMedicineLouisvilleKY 40202USA Department of Endocrinology the Second Affiliated Hospital&Yuying Children’s HospitalWenzhou Medical UniversityWenzhou 325027China Division of Gastroenterology Hepatology&NutritionDepartment of Medicinethe University of Louisville School of MedicineLouisvilleKY 40202USA Superfund Research Center the University of LouisvilleLouisvilleKY 40202USA eDepartment of Biochemistry and Molecular Geneticsthe University of Louisville School of MedicineLouisvilleKY 40202USA Department of Bioinformatics and Biostatistics the School of Public Health and Information Sciencesthe University of LouisvilleLouisvilleKY 40202USA Centre for Agricultural Bioinformatics ICAR-Indian Agricultural Statistics Research InstituteNew Delhi 110012India The Center for Integrative Environmental Health Sciences University of LouisvilleLouisvilleKY 40202USA Division of Nephrology&Hypertension Department of Medicinethe University of Louisville School of MedicineLouisvilleKY 40202USA The Hepatobiology and Toxicology Center University of LouisvilleLouisvilleKY 40202USA Alcohol Research Center University of LouisvilleLouisvilleKY 40202USA Biostatistics and Bioinformatics Facility James Graham Brown Cancer CenterLouisvilleKY 40202USA

Dioxin-like molecules have been associated with endocrine disruption and liver *** better understand aryl hydrocarbon receptor(AHR)biology,metabolic phenotyping and liver proteomics were performed in mice following ligand-activation or whole-body genetic ablation of this *** wild type(WT)and Ahr^(-/-) mice(Taconic)were fed a control diet and exposed to 3,3',4,4',5-pentachlorobiphenyl(PCB126)(61 nmol/kg by gavage)or vehicle for two ***126 increased expression of canonical AHR targets(Cyp1 a1 and Cyp1 a2)in WT but not Ahr^(-/-).Knockouts had increased adiposity with decreased glucose tolerance;smaller livers with increased steatosis and perilipin-2;and paradoxically decreased blood ***126 was associated with increased hepatic triglycerides in Ahr^(-/-).The liver proteome was impacted more so by Ahr^(-/-) genotype than ligandactivation,but top gene ontology(GO)processes were *** PCB126-associated liver proteome was *** principally regulated liver metabolism(e.g.,lipids,xenobiotics,organic acids)and bioenergetics,but it also impacted liver endocrine response(e.g.,the insulin receptor)and function,including the production of steroids,hepatokines,and pheromone binding *** effects could have been indirectly mediated by interacting transcription factors or *** biologic roles of the AHR and its ligands warrant more research in liver metabolic health and disease.

关键词： AHR Endocrine disruption Environmental liver disease Nonalcoholic fatty liver disease Perilipin-2 Pheromones PCB126

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A Novel Approach for Numerical Computation of Fokker-Planck Equation

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Journal of Mathematics and System Science 2016年第7期6卷 291-299页

作者： Pramod Kumar Brajesh Kumar Singh Shobh nath rai Department of Applied Mathematics School for Physical Sciences Babasaheb Bhimrao Ambedkar University Lucknow -226025 INDIA.

This paper present an implementation of＂modified cubic B-spline differential quadrature method （MCB-DQM）＂ proposed by Arora ＆ Singh （Applied Mathematics and Computation Vol. 224（1）（2013） 161-177） for numerical computation of Fokker-Planck equations. The modified cubic B-splines are used as set of basis functions in the differential quadrature to compute the weighting coefficients for the spatial derivatives, which reduces Fokker-Planck equation into system of first-order ordinary differential equations （ODEs）, in time. The well known SSP-RK43 scheme is then applied to solve the resulting system of ODEs. The efficiency of proposed method has been confirmed by three examples having their exact solutions. This shows that MCB-DQM results are capable of achieving high accuracy. Advantage of the scheme is that it can be applied very smoothly to solve the linear or nonlinear physical problems, and a very less storage space is required which causes less accumulation of numerical errors.

关键词： Fokker-Planck equation modified cubic B-spline MCB-DQM SSP-RK43 Thomas algorithm

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Role of Helicobacter pylori in gastric cancer:Updates

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World Journal of Gastrointestinal Oncology 2016年第2期8卷 147-158页

作者： Jahanarah Khatoon Ravi Prakash rai Kashi nath Prasad department of microbiology sanjay gandhi postgraduate institute of medical sciencesLucknowUttar Pradesh 226014India

Helicobacter pylori(H. pylori) infection is highly prevalent in human,affecting nearly half of the world's population; however,infection remains asymptomatic in majority of population. During its co-existence with humans,H. pylori has evolved various strategies to maintain a mild gastritis and limit the immune response of host. On the other side,presence of *** is also associated with increased risk for the development of various gastric pathologies including gastric cancer(GC). A complex combination of host genetics,environmental agents,and bacterial virulence factors are considered to determine the susceptibility as well as the severity of outcome in a subset of individuals. GC is one of the most common cancers and considered as the third most common cause of cancer related death worldwide. Many studies had proved H. pylori as an important risk factor in the development of non-cardia GC. Although both H. pylori infection and GC are showing decreasing trends in the developed world,they still remain a major threat to human population in the developing countries. The current review attempts to highlight recent progress in the field of research on H. pylori induced GC and aims to provide brief insight into H. pylori pathogenesis,the role of major virulence factors of H. pylori that modulates the host environment and transform the normal gastric epithelium to neoplastic one. This review also emphasizes on the mechanistic understanding of how colonization and various virulence attributes of H. pylori as well as the host innate and adaptive immune responses modulate the diverse signaling pathways that leads to different disease outcomes including GC.

关键词： Cag pathogenicity island Gastric cancer Gastric mucosa Helicobacter pylori Type Ⅳ secretionsystem

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Patterns of Molecular Diversity in Current and Previously Developed Hybrid Parents of Pearl Millet [<i>Pennisetum glaucum</i>(L.) R. Br.]

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American Journal of Plant Sciences 2015年第11期6卷 1697-1712页

作者： Shashi Kumar Gupta Thirunavukkarasu Nepolean S. Mukesh Sankar Abhishek Rathore Roma Rani Das Kedar nath rai Charles Thomas Hash International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) Patancheru India Indian Agricultural Research Institute (IARI) New Delhi India International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) Niamey Niger

ICRISAT’s pearl millet (Pennisetum glaucum (L.) R. Br.) breeding program at Patancheru, India, has developed genetically diverse hybrid parents since 1980s. The present study investigated genetic diversity pattern between two groups of parents in this program, bred till 2004 and developed during 2004-2010. Combined analysis of 379 hybrid parents (current 166 parents and 213 previously developed hybrid parents) carried out using a set of highly polymorphic 28 SSRs detected 12.7 alleles per locus. An average of 8.5 and 8.7 SSR alleles per locus were found in previously developed and current parents, respectively, indicating marginal improvement in the levels of genetic diversity of hybrid parents in this program. Distance matrix differentiated these current and previously developed hybrid parents into 2 separate clusters, indicating infusion of new genetic variability over time as reflected by development of more genotype-specific alleles. Also, the seed and restorer parents were found clearly separated from each other in both the sets with few crossovers, indicating existence of two diverse and broad-based pools in hybrid parents of pearl millet. Restorer parents (R-lines) were found more diverse than seed parents (B-lines), as higher average gene diversity was detected among R-lines (0.70) than B-lines (0.56), though variation between B- and R-lines was found reduced in newly developed lines to 9.22% from 16.98% in previously developed lines. Results suggested that newly developed lines were as much divergent when compared with previously developed lines, indicating that current ICRISAT pearl millet breeding program was moving towards development of diverse new hybrid parental lines. The study suggested use of trait-specific donors in B- and R-lines separately to maintain sufficient genetic distance between seed and restorer breeding lines. It was pointed out to cross parents having higher genetic distance within the seed (B-lines) and restorer (R-lines) breeding pr

关键词： Pearl Millet Simple Sequence Repeat Hybrid Parents Heterotic Pool Genetic Diversity

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Fungal diversity notes 929-1035:taxonomic and phylogenetic contributions on genera and species of fungi

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Fungal Diversity 2019年第2期95卷 1-273页

作者： Rungtiwa Phookamsak Kevin D.Hyde Rajesh Jeewon D.Jayarama Bhat E.B.Gareth Jones Sajeewa S.N.Maharachchikumbura Olivier Raspe Samantha C.Karunarathna Dhanushka N.Wanasinghe Sinang Hongsanan Mingkwan Doilom Danushka S.Tennakoon Alexandre R.Machado Andre L.Firmino Aniket Ghosh Anuruddha Karunarathna Armin Mesic Arun Kumar Dutta Benjarong Thongbai Bandarupalli Devadatha Chada Norphanphoun Chanokned Senwanna Deping Wei Dhandevi Pem Frank Kwekucher Ackah Gen-Nuo Wang Hong-Bo Jiang Hugo Madrid Hyang Burm Lee Ishani D.Goonasekara Ishara S.Manawasinghe Ivana Kusan Josep Cano Josepa Gene Junfu Li Kanad Das Krishnendu Acharya K.N.Anil Raj K.P.Deepna Latha K.W.Thilini Chethana Mao-Qiang He Margarita Duenas Margita Jadan Maria P.Martin Milan C.Samarakoon Monika C.Dayarathne Mubashar Raza Myung Soo Park M.Teresa Telleria Napalai Chaiwan Neven Matocec Nimali Ide Silva Olinto L.Pereira Paras nath Singh Patinjareveettil Manimohan Priyanka Uniyal Qiu-Ju Shang Rajendra P.Bhatt Rekhani H.Perera Renato Lucio Mendes Alvarenga Sandra Nogal-Prata Sanjay K.Singh Santhiti Vadthanarat Seung-Yoon Oh Shi-Ke Huang Shiwali Rana Sirinapa Konta Soumitra Paloi Subashini C.Jayasiri Sun Jeong Jeon Tahir Mehmood Tatiana Baptista Gibertoni Thuong T.T.Nguyen Upendra Singh Vinodhini Thiyagaraja V.Venkateswara Sarma Wei Dong Xian-Dong Yu Yong-Zhong Lu Young Woon Lim Yun Chen Zdenko Tkalcec Zhi-Feng Zhang Zong-Long Luo Dinushani A.Daranagama Kasun M.Thambugala Saowaluck Tibpromma Erio Camporesi Timur S.Bulgakov Asha J.Dissanayake Indunil C.Senanayake Dong Qin Dai Li-Zhou Tang Sehroon Khan Huang Zhang Itthayakorn Promputtha Lei Cai Putarak Chomnunti Rui-Lin Zhao Saisamorn Lumyong Saranyaphat Boonmee Ting-Chi Wen Peter E.Mortimer Jianchu Xu Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China Institute of Animal Science State Key Laboratory of AnimalNutritionChinese Academy of Agricultural SciencesBeijing 100193People’s Republic of China Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand World Agroforestry Centre East and Central AsiaKunming 650201YunnanPeople’s Republic of China Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Rai 50150Thailand Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Department of Health Sciences Faculty of ScienceUniversity of MauritiusReduitMauritius No.128/1-J Co-Op Azad Housing SocietyCurcaGoa VelhaIndia Department of Crop Sciences College of Agricultural and Marine SciencesSultan Qaboos UniversityPO Box 8123 Al KhoudOman Botanic Garden Meise Nieuwelaan 381860 MeiseBelgium Federation Wallonie-Bruxelles Service general de l’Enseignement universitaire et de la Recherche scientifiqueRue A.Lavallee 11080 BrusselsBelgium Shenzhen Key Laboratory of Microbial Genetic Engineering College of Life Science and OceanographyShenzhen University3688Nanhai AvenueNanshanShenzhen 518060People’s Republic of China Department of Plant Medicine National Chiayi University300 Syuefu RoadChiayi City 60004Taiwan Departamento de Micologia Universidade Federal de PernambucoRecifePernambucoBrazil Instituto de Ciencias Agrarias Universidade Federal de UberlandiaMonte CarmeloMinas GeraisBrazil Department of Botany&Microbiology H.N.B.Garhwal UniversitySrinagarGarhwal 246174UttarakhandIndia Department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Ruder Boskovic Institute Bijenicka cesta 5410000 ZagrebCroatia Molecular and Applied Mycology and Plant Pathology Laboratory Department of BotanyUniversity of CalcuttaKolkataWest Bengal

This article is the ninth in the series of Fungal Diversity Notes,where 107 taxa distributed in three phyla,nine classes,31 orders and 57 families are described and *** described in the present study include 12 new genera,74 new species,three new combinations,two reference specimens,a re-circumscription of the epitype,and 15 records of sexualasexual morph connections,new hosts and new geographical *** new genera comprise Brunneofusispora,Brunneomurispora,Liua,Lonicericola,Neoeutypella,Paratrimmatostroma,Parazalerion,Proliferophorum,Pseudoastrosphaeriellopsis,Septomelanconiella,Velebitea and ***-four new species are Agaricus memnonius,***,Aleurodiscus patagonicus,Amanita flavoalba,***,Amphisphaeria mangrovei,Baorangia major,Bartalinia kunmingensis,Brunneofusispora sinensis,Brunneomurispora lonicerae,Capronia camelliaeyunnanensis,Clavulina thindii,Coniochaeta simbalensis,Conlarium thailandense,Coprinus trigonosporus,Liua muriformis,Cyphellophora filicis,Cytospora ulmicola,Dacrymyces invisibilis,Dictyocheirospora metroxylonis,Distoseptispora thysanolaenae,Emericellopsis koreana,Galiicola baoshanensis,Hygrocybe lucida,Hypoxylon teeravasati,Hyweljonesia indica,Keissleriella caraganae,Lactarius olivaceopallidus,Lactifluus midnapurensis,Lembosia brigadeirensis,Leptosphaeria urticae,Lonicericola hyaloseptispora,Lophiotrema mucilaginosis,Marasmiellus bicoloripes,Marasmius indojasminodorus,Micropeltis phetchaburiensis,Mucor orantomantidis,Murilentithecium lonicerae,Neobambusicola brunnea,Neoeutypella baoshanensis,Neoroussoella heveae,Neosetophoma lonicerae,Ophiobolus malleolus,Parabambusicola thysanolaenae,Paratrimmatostroma kunmingensis,Parazalerion indica,Penicillium dokdoense,Peroneutypa mangrovei,Phaeosphaeria cycadis,Phanerochaete australosanguinea,Plectosphaerella kunmingensis,Plenodomus artemisiae,***,Proliferophorum thailandicum,Pseudoastrosphaeriellopsis kaveriana,Pseudohelicomyces menglunicu

关键词： 86 new taxa Agaricomycetes Ascomycota Basidiomycota Dacrymycetes Dothideomycetes Eurotiomycetes Lecanoromycetes Leotiomycetes Mucoromycetes Mucoromycota Pezizomycetes Sordariomycetes Taxonomy

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Fungal diversity notes 1036-1150:taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2019年第3期96卷 1-242页

作者： Kevin D.Hyde Danushka S.Tennakoon Rajesh Jeewon DJayarama Bhat Sajeewa S.N.Maharachchikumbura Walter Rossi Marco Leonardi Hyang Burm Lee Hye Yeon Mun Jos Houbraken Thuong T.T.Nguyen Sun Jeong Jeon Jens Christian Frisvad Dhanushka N.Wanasinghe Robert Lucking Andre Aptroot Marcela E.S.Caceres Samantha C.Karunarathna Sinang Hongsanan Rungtiwa Phookamsak Nimali Ide Silva Kasun M.Thambugala Ruvishika S.Jayawardena Indunil C.Senanayake Saranyaphat Boonmee Jie Chen Zong-Long Luo Chayanard Phukhamsakda Olinto L.Pereira Vanessa P.Abreu Andre Wilson Campos Rosado Buyck Bart Emile Randrianjohany Vale rie Hofstetter Tatiana B.Gibertoni Adriene Mayrada Silva Soares Helio Longoni Plautz Jr Helen Maria Pontes Sotao William Kalhy Silva Xavier Jadson Diogo Pereira Bezerra Thays Gabrielle Linsde Oliveira Cristina Mariade Souza-Motta Oliane Maria Correia Magalhaes Digvijayini Bundhun Dulanjalee Harishchandra Ishara S.Manawasinghe Wei Dong Sheng-Nan Zhang Dan-Feng Bao Milan C.Samarakoon Dhandevi Pem Anuruddha Karunarathna Chuan-Gen Lin Jing Yang Rekhani H.Perera Vinit Kumar Shi-Ke Huang Monika C.Dayarathne Anusha H.Ekanayaka Subashini C.Jayasiri Yuanpin Xiao Sirinapa Konta Tuula Niskanen Kare Liimatainen Yu-Cheng Dai Xiao-Hong Ji Xue-Mei Tian Armin Mesic Sanjay K.Singh Kunthida Phutthacharoen Lei Cai Touny Sorvongxay Vinodhini Thiyagaraja Chada Norphanphoun Napalai Chaiwan Yong-Zhong Lu Hong-Bo Jiang Jin-Feng Zhang Pranami D.Abeywickrama Janith V.S.Aluthmuhandiram Rashika S.Brahmanage Ming Zeng Thilini Chethana Deping Wei Martina Reblova Jacques Fournier Jana Nekvindova Renan do Nascimento Barbosa Jose Ewerton Felintodos Santos Neiva Tintide Oliveira Guo-Jie Li Damien Ertz Qiu-Ju Shang Alan J.L.Phillips Chang-Hsin Kuo Erio Camporesi Timur S.Bulgakov Saisamorn Lumyong E.B.Gareth Jones Putarak Chomnunti Eleni Gentekaki Frank Bungartz Xiang-Yu Zeng Sally Fryar Zdenko Tkalcec Junmin Liang Guangshuo Li Ting-Chi Wen Paras nath Singh Yusufjon Gafforov Itthayakorn Promputtha Erandi Yasanthika Ishani D.Goonasekara Rui-Lin Zhao Qi Zhao Paul M Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand East and Central Asia Regional Office World Agroforestry Centre(ICRAF)Kunming 650201YunnanPeople’s Republic of China Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand Department of Plant Medicine National Chiayi University300 Syuefu RoadChiayi City 60004TaiwanPeople’s Republic of China Department of Health Sciences Faculty of ScienceUniversity of MauritiusReduitMauritius Formerly Department of Botany Goa UniversityGoaIndia No.128/1-J Azad Housing SocietyCurcaGoa Velha 403108India Department of Crop Sciences College of Agricultural and Marine SciencesSultan Qaboos UniversityPO Box 8123 Al KhoudOman Sect.Environmental Sciences Dept.MeSVAUniversity of L’Aquila67100 CoppitoAQItaly Division of Food Technology Biotechnology&AgrochemistryCollege of Agriculture&Life SciencesChonnam National UniversityGwangju 61186Korea Fungal Resources Research Division NNIBRSangju-si 37242Korea Westerdijk Fungal Biodiversity Institute Uppsalalaan 83584 CT UtrechtThe Netherlands Department of Biotechnology and Biomedicine DTUBioengineeringTechnical University of Denmark2800 Kongens LyngbyDenmark Botanischer Garten und Botanisches Museum Berlin Freie Universitat BerlinKonigin-Luise-StraßBe 6-814195 BerlinGermany Laboratorio de Botanica/Liquenologia Instituto de BiocienciasUniversidade Federal de Mato Grosso do SulAvenida Costa e Silva s/nBairro UniversitarioCampo GrandeMatto Grosso do Sul CEP 79070-900Brazil Departamento de Biociencias Universidade Federal de SergipeItabaianaSergipe CEP:49500-000Brazil Shenzhen Key Laboratory of Microbial

This article is the tenth series of the Fungal Diversity Notes,where 114 taxa distributed in three phyla,ten classes,30 orders and 53 families are described and *** described in the present study include one new family(*** in Dothideomycetes),five new genera(Caatingomyces,Cryptoschizotrema,Neoacladium,Paramassaria and Trochilispora)and 71 new species,(*** thailandica,Amniculicola aquatica,***,Angustimassarina sylvatica,Blackwellomyces lateris,Boubovia gelatinosa,Buellia viridula,Caatingomyces brasiliensis,Calophoma humuli,Camarosporidiella mori,Canalisporium dehongense,Cantharellus brunneopallidus,***,Castanediella meliponae,Coprinopsis psammophila,Cordyceps succavus,Cortinarius minusculus,***,Diaporthe italiana,***,Diatrypella delonicis,Dictyocheirospora aquadulcis,***,Digitodesmium chiangmaiense,Distoseptispora dehongensis,***,Dothiorella styphnolobii,Ellisembia aurea,Falciformispora aquatic,Fomitiporia carpinea,***,Grammothele aurantiaca,***,Hermatomyces bauhiniae,Jahnula queenslandica,Kamalomyces mangrovei,Lecidella yunnanensis,Micarea squamulosa,Muriphaeosphaeria angustifoliae,Neoacladium indicum,Neodidymelliopsis sambuci,Neosetophoma miscanthi,***,Nodulosphaeria aquilegiae,***,Paramassaria samaneae,Penicillium circulare,***,***-pumilae,***,***,Phaeoisaria siamensis,Phaeopoacea asparagicola,Phaeosphaeria penniseti,Plectocarpon galapagoense,Porina sorediata,Pseudoberkleasmium chiangmaiense,Pyrenochaetopsis sinensis,Rhizophydium koreanum,Russula prasina,Sporoschisma chiangraiense,Stigmatomyces chamaemyiae,***,***,***,***,Thysanorea uniseptata,Torula breviconidiophora,***,Trochilispora schefflerae and Vaginatispora palmae).Further,twelve new combinations(*** cryptotrema,Prolixandromyces australi,***,***,***,P.

关键词： 71 new taxa Ascomycota Basidiomycota Dothideomycetes Eurotiomycetes Lecanoromycetes Leotiomycetes Pezizomycetes Phylogeny Taxonomy

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