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Ascomycetes from karst landscapes of Guizhou Province, China

Fungal Diversity 2023年第5期122卷 1-160页

作者： Jin-Feng Zhang jian-kui liu Kevin DHyde Ya-Ya Chen Hai-Yan Ran Zuo-Yi liu Guizhou Provincial Institute of Tea Guiyang 550006People’s Republic of China Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006People’s Republic of China Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Life Science and Technology Center for Informational BiologyUniversity of Electronic Science and Technology of ChinaChengdu 611731People’s Republic of China Innovative Institute of Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225People’s Republic of China Guizhou Provincial Institute of Crop Germplasm Resources Guiyang 550006People’s Republic of China Guizhou Provincial Institute of Plant Protection Guiyang 550006People’s Republic of China

This study documents the morphology and phylogeny of ascomycetes collected from karst landscapes of Guizhou Prov-ince,*** on morphological characteristics in conjunction with DNA sequence data,70 species are identified and distributed in two classes(Dothideomycetes and Sordariomycetes),16 orders,41 families and 60 *** order Plani-sphaeriales,four families Leptosphaerioidaceae,Neoleptosporellaceae,Planisphaeriaceae and Profundisphaeriaceae,ten genera Conicosphaeria,Karstiomyces,Leptosphaerioides,Neoceratosphaeria,Neodiaporthe,Neodictyospora,Planispha-eria,Profundisphaeria,Stellatus and Truncatascus,and 34 species(Amphisphaeria karsti,Anteaglonium hydei,Atracto-spora terrestris,Conicosphaeria vaginatispora,Corylicola hydei,Diaporthe cylindriformispora,Dictyosporium karsti,Hysterobrevium karsti,Karstiomyces guizhouensis,Leptosphaerioides guizhouensis,Lophiotrema karsti,Murispora hydei,Muyocopron karsti,Neoaquastroma guizhouense,Neoceratosphaeria karsti,Neodiaporthe reniformispora,Neodictyospora karsti,Neoheleiosa guizhouensis,Neoleptosporella fusiformispora,Neoophiobolus filiformisporum,Ophioceras guizhouen-sis,Ophiosphaerella karsti,Paraeutypella longiasca,Paraeutypella karsti,Patellaria guizhouensis,Planisphaeria karsti,Planisphaeria reniformispora,Poaceascoma herbaceum,Profundisphaeria fusiformispora,Pseudocoleophoma guizhouen-sis,Pseudopolyplosphaeria guizhouensis,Stellatus guizhouensis,Sulcatispora karsti and Truncatascus microsporus)are introduced as new to ***,13 new geographical records for China are also reported,which are Acrocalymma medicaginis,Annulohypoxylon thailandicum,Astrosphaeriella bambusae,Diaporthe novem,Hypoxylon rubiginosum,Ophio-sphaerella agrostidis,Ophiosphaerella chiangraiensis,Patellaria atrata,Polyplosphaeria fusca,Psiloglonium macrosporum,Sarimanas shirakamiense,Thyridaria broussonetiae and Tremateia ***,the family Eriomycetaceae was resurrected as a non-lichenized family and accommodated w

关键词： 49 new taxa Dothideomycetes Multi-gene Phylogeny Sordariomycetes Taxonomy

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Green synthesis of luminescent La-MOF nanoparticle from waste poly(ethylene terephthalate) for high-performance in Fe(Ⅲ) detection

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Rare Metals 2024年第8期43卷 3833-3843页

作者： Zhi Gong Zhi-kui Dai Zhi-Yue Dong Qiu-Xuan liu Valentin AMilichko Hua-jian liu Jie liu Ran Niu jiang Gong Key Laboratory of Material Chemistry for Energy Conversion and Storage Hubei Key Laboratory of Material Chemistry and Service FailureHubei Engineering Research Center for Biomaterials and Medical Protective MaterialsSemiconductor Chemistry CenterSchool of Chemistry and Chemical EngineeringMinistry of EducationHuazhong University of Science and TechnologyWuhan 430074China School of Chemical Engineering and Pharmacy Wuhan Institute of TechnologyWuhan 430073China Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry Ministry of Education Key Laboratory for the Synthesis and Application of Organic Functional Molecules and College of Chemistry and Chemical EngineeringHubei UniversityWuhan 430062China School of Physics and Engineering ITMO UniversitySt.Petersburg197101Russia School of Materials Science and Engineering Hubei UniversityWuhan430062China Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing School of Mechanical and Automotive EngineeringKey Laboratory of Polymer Processing EngineeringMinistry of EducationSouth China University of TechnologyGuangzhou 510641China

Developing luminescent metal-organic frameworks(MOFs) capable of high-efficiency Fe^(3+)sensing has aroused great attraction in the fields of biology,chemistry,***,previous solvothermal methods are limited by organic solvent usage,time consuming,high pressure,and high-energy ***,we propose the waste-toMOF strategy towards the scale-up production of La-MOF nanoparticles through the ball milling of recycled poly(-ethylene terephthalate)(PET) bottles and La(NO_(3))_(3)·_(6)H_(2)*** goes on alkaline hydrolysis to form 1,4-benzenedicarboxylic acid sodium salt(Na_(2)BDC) and ethylene glycol by ball ***,BDC reacts with La^(3+)to form *** as-prepared La-MOF crystal nanoparticles possess a rod-like morphology with the size of few hundred ***,La-MOF nanoparticles display high selectivity and sensitivity for Fe^(3+)*** quenching constant and limit of detection are 5.29×10^(3)(mol·L^(-1))^(-1) and 0.147 μmol·L^(-1),respectively,thus surpassing many advanced Fe^(3+) *** to the result of density functional theory,the high Fe^(3+) detection performance of La-MOF is related to the complexing of Fe^(3+)with La-MOF,which leads to the gradual dissociation of the coordination bond between terephthalic acid and La^(3+).It is anticipated that the mechanochemistry milling-based wasteto-MOF strategy provides a new platform for the massive production of functional MOFs in a green manner.

关键词： Metal-organic framework Waste polyester Mechanochemistry milling Fluorescence sensor

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Commentary:brain endothelial GSDMD as a novel target for brain disorders associated with BBB damage

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Chinese Journal of Natural Medicines 2024年第7期22卷 580-581页

作者： liu kui PANG Tao State Key Laboratory of Natural Medicines New Drug Screening and Pharmacodynamics Evaluation CenterChina Pharmaceutical UniversityNanjing 210009China

The blood-brain barrier(BBB)is a highly selective and critical interface between the blood and the central nervous system(CNS),essential for maintaining the microenvironment necessary for normal brain function and homeostasis[1].The BBB is primarily formed by brain endothelial cells(bECs),pericytes,and astrocytes,and it operates in concert with microglia/macrophages and neurons[2,3]to constitute the neurovascular unit(Fig.1).Disruption of the BBB or the presence of systemic inflammation can precipitate or exacerbate various CNS pathologies,including Alzheimer’s disease[4],amyotrophic lateral sclerosis[5],Huntington’s disease[6]and multiple sclerosis.

关键词： Brain endothelial cells GSDMD Blood-brain barrier Natural products Neuroinflammation Brain disorders

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Freshwater fungi from karst landscapes in China and Thailand

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Fungal Diversity 2023年第2期119卷 1-212页

作者： Jing Yang Ling-Ling liu EBGareth Jones Kevin D.Hyde Zuo-Yi liu Dan-Feng Bao Ning-Guo liu Wen-Li Li Hong-Wei Shen Xian-Dong Yu jian-kui liu School of Life Science and Technology Center for Informational BiologyUniversity of Electronic Science and Technology of ChinaChengdu 611731People’s Republic of China School of Science Center of Excellence in Fungal ResearchMae Fah Luang UniversityChiang Rai 57100Thailand Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006People’s Republic of China Guizhou Institute of Soil and Fertilizer Guizhou Academy of Agricultural SciencesGuiyang 550006People’s Republic of China Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Innovative Institute for Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225People’s Republic of China Faculty of Agriculture Natural Resources and EnvironmentNaresuan UniversityPhitsanulok 65000Thailand

Freshwater fungi comprises a highly diverse group of organisms occurring in freshwater habitats throughout the ***-ing a survey of freshwater fungi on submerged wood in streams and lakes,a wide range of sexual and asexual species were collected mainly from karst regions in China and *** inferences using partial gene regions of LSU,ITS,SSU,TEF1α,and RPB2 sequences revealed that most of these fungi belonged to Dothideomycetes and Sordariomycetes and a few were related to *** on the morphology and multi-gene phylogeny,we introduce four new genera,***,Neocirrenalia,Ocellisimilis and Uvarisporella,and 47 new species,*** chishuiensis,***,***,Actinocladium aquaticum,Annulatascus tratensis,Aquabispora setosa,Aqualignicola setosa,Aquimassario-sphaeria vermiformis,Ceratosphaeria flava,Chaetosphaeria polygonalis,Conlarium muriforme,Digitodesmium chishuiense,Ellisembia aquirostrata,Fuscosporella atrobrunnea,Halobyssothecium aquifusiforme,***,Hongkongmyces aquisetosus,Kirschsteiniothelia dushanensis,Monilochaetes alsophilae,Mycoenterolobium macrosporum,Myrmecridium splendidum,Neohelicascus griseoflavus,Neohelicomyces denticulatus,Neohelicosporium fluviatile,Neokalmusia aquib-runnea,Neomassariosphaeria aquimucosa,Neomyrmecridium naviculare,Neospadicoides biseptata,Ocellisimilis clavata,Ophioceras thailandense,Paragaeumannomyces aquaticus,Phialoturbella aquilunata,Pleurohelicosporium hyalinum,Pseudodactylaria denticulata,***,***,Pseudohalonectria aurantiaca,Rhamphoriopsis aquimi-crospora,Setoseptoria bambusae,Shrungabeeja fluviatilis,Sporidesmium tratense,***,Sporoschisma atroviride,Stanjehughesia aquatica,Thysanorea amniculi,Uvarisporella aquatica and Xylolentia aseptata,with an illustrated account,discussion of their taxonomic placement and comparison with morphological similar *** new combinations are introduced,*** grandispora(≡Boerlagiomyc

关键词： 58 new taxa Asexual morph Multi-gene Phylogeny Sexual morph Taxonomy

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SHT-based public auditing protocol with error tolerance in FDL-empowered IoVs

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Digital Communications and Networks 2024年第1期10卷 142-149页

作者： kui Zhu Yongjun Ren jian Shen Pandi Vijayakumar Pradip Kumar Sharma School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China Peng Cheng Laboratory Shenzhen518000China Department of Computer Science and Engineering University College of Engineering TindivanamTamil Nadu604001India Department of Computing Science University of AberdeenAberdeenAB243UEUK

With the intelligentization of the Internet of Vehicles(lovs),Artificial Intelligence(Al)technology is becoming more and more essential,especially deep *** Deep Learning(FDL)is a novel distributed machine learning technology and is able to address the challenges like data security,privacy risks,and huge communication overheads from big raw data ***,FDL can only guarantee data security and privacy among multiple clients during data *** the data sets stored locally in clients are corrupted,including being tampered with and lost,the training results of the FDL in intelligent IoVs must be negatively *** this paper,we are the first to design a secure data auditing protocol to guarantee the integrity and availability of data sets in FDL-empowered ***,the cuckoo filter and Reed-Solomon codes are utilized to guarantee error tolerance,including efficient corrupted data locating and *** addition,a novel data structure,Skip Hash Table(SHT)is designed to optimize data ***,we illustrate the security of the scheme with the Computational Diffie-Hellman(CDH)assumption on bilinear *** theoretical analyses and performance evaluations demonstrate the security and efficiency of our scheme for data sets in FDL-empowered IoVs.

关键词： Internet of vehicles Federated deep learning Data security Data auditing Data locating and recovery

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Recovery of cyanophycin granule polypeptide from activated sludge: carbon source dependence and aggregation-induced luminescence characteristics

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Frontiers of Environmental Science & Engineering 2024年第2期18卷 25-34页

作者： kui Zou Hongyuan liu Bo Feng Taiping Qing Peng Zhang College of Environment and Resources Xiangtan UniversityXiangtan 411105China

In the sewage treatment process,facilitating the conversion of pollutants into value-added resources holds great potential for reducing the amount of greenhouse gas emissions and promoting economic *** granule polypeptide(CGP),a recently discovered high value-added biopolymer present in activated sludge,has provided new avenues for the recovery of ***,the mechanisms that regulate CGP synthesis and the characteristics of this biopolymer in activated sludge remain unclear thus *** study investigated the synthesis of CGP,polyhydroxyalkanoates(PHA),and alginate-like exopolysaccharides(ALE)in various microbial aggregates under different carbon sources feeding *** results showed that the CGP yields was superior that of PHA and ALE when subjected to identical carbon source feeding ***,biofilm was more conducive to CGP accumulation than floc *** with glucose and methanol,sodium acetate significantly enriched the CGP synthetase-encoding gene(cphAabundance=~17419),resulting in the highest CGP yield(average 107.1 mg/g MLSS)in both biofilm and floc *** study is the first to reported the characteristic fluorescence of CGP(Ex/Em=~360/450 nm)caused by the aggregated luminescence of arginine on the side ***,this study highlights the potential application of CGP as a fluorescent material and offers insights into CGP recovery from activated sludge in wastewater treatment plants.

关键词： Cyanophycin Polyhydroxyalkanoate Alginate-like exopolysaccharides Bioresource recovery Aggregation-induced luminescence

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An eikonal equation-based earthquake location method by inversion of multiple phase arrivals

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Science China Earth Sciences 2024年第6期67卷 1802-1817页

作者： Gaoyue LAO Dinghui YANG Shaolin liu Guiju DONG Wenshuai WANG kui liu National Institute of Natural Hazards Ministry of Emergency Management of ChinaBeijing 100085China School of Earth Sciences Yunnan UniversityKunming 650091China Department of Mathematical Sciences Tsinghua UniversityBeijing 100084China School of Mathematics and Statistics Ningxia UniversityYinchuan 750021China

The precise determination of earthquake location is the fundamental basis in seismological community,and is crucial for analyzing seismic activity and performing seismic *** arrivals are generally used to practically determine earthquake ***,first-arrival traveltimes are not sensitive to focal ***,they cannot accurately constrain focal *** improve the accuracy,researchers have analyzed the depth phases of earthquake *** traveltimes of depth phases are sensitive to focal depths,and the joint inversion of depth phases and direct phases can be implemented to potentially obtain accurate earthquake ***,researchers can determine earthquake locations in layered *** layered models can only represent the first-order feature of subsurface structures,the advantages of joint inversion are not fully explored if layered models are *** resolve the issue of current joint inversions,we use the traveltimes of three seismic phases to determine earthquake locations in heterogeneous *** three seismic phases used in this study are the first P-,sPg-and *** calculate the traveltimes of the three seismic phases by solving an eikonal equation with an upwind difference scheme and use the traveltimes to determine earthquake *** verify the accuracy of the earthquake location method by the inversion of three seismic phases,we take the 2021 M_(S)6.4 Yangbi,Yunnan earthquake as an example and locate this earthquake using synthetic and real seismic *** tests demonstrate that the eikonal equation-based earthquake location method,which involves the inversion of multiple phase arrivals,can effectively improve earthquake location accuracy.

关键词： Earthquake location Eikonal equation Fast marching method Heterogeneous model

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Automated,economical,and environmentally-friendly asphalt mix design based on machine learning and multi-objective grey wolf optimization

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 381-405页

作者： jian liu Fangyu liu Linbing Wang Department of Civil and Environmental Engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24061USA School of Environmental CivilAgricultural and Mechanical EngineeringUniversity of GeorgiaAthensGA 30602USA Illinois Center for Transportation Department of Civil and Environmental EngineeringUniversity of Illinois Urbana-ChampaignUrbanaIL 61801USA

The increasing impact of the greenhouse effect on ecosystems is prompting transportation agencies to seek methods for reducing CO_(2)emissions during pavement construction and ***,the laboratory mix design process,which involves selecting aggregate gradation and binder content,is time-consuming and *** accelerate the traditional mix design procedure,this study presented a mix design procedure that can automatically determine gradation and binder content based on machine learning(ML)and a meta-heuristic ***,ML approaches were employed to model the relationship between volumetric properties(mixture bulk specific gravity(Gmb)and air void(VV))and both mixture component properties and mixture proportion,based on a dataset collected from literature with 660 mixture *** with the prediction of ML models and the modified multi-objective grey wolf optimization(MOGWO)algorithm,an automatic asphalt mix design was proposed to pursue three goals,including VV,cost,and CO_(2)*** results indicated that least squares support vector regression(LSSVR)and e Xtreme gradient boosting(XGBoost)achieved the highest prediction accuracies(correlation coefficient:0.92 for VV and 0.96 for Gmb).The MOGWO algorithm successfully found the 26 optimal mix designs for the case of VV *** ***_(2)*** to the traditional laboratory design,the optimal mixture with VV of4%achieves a cost saving of 2.46%and a reduction of 4.03%in carbon *** volumetric properties of the mixtures output by the approach also align closely with values measured in a laboratory.

关键词： Asphalt mix design Machine learning MOGWO CO_(2)emission Volumetric properties

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An Industrial Intrusion Detection Method Based on Hybrid Convolutional Neural Networks with Improved TCN

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Computers, Materials & Continua 2024年第1期78卷 411-433页

作者： Zhihua liu Shengquan liu jian Zhang College of Computer Science and Technology Xinjiang UniversityXinjiang Uygur Autonomous RegoinUrumqi830000China

Network intrusion detection systems(NIDS)based on deep learning have continued to make significant ***,the following challenges remain:on the one hand,simply applying only Temporal Convolutional Networks(TCNs)can lead to models that ignore the impact of network traffic features at different scales on the detection *** the other hand,some intrusion detection methods considermulti-scale information of traffic data,but considering only forward network traffic information can lead to deficiencies in capturing multi-scale temporal *** address both of these issues,we propose a hybrid Convolutional Neural Network that supports a multi-output strategy(BONUS)for industrial internet intrusion ***,we create a multiscale Temporal Convolutional Network by stacking TCN of different scales to capture the multiscale information of network ***,we propose a bi-directional structure and dynamically set the weights to fuse the forward and backward contextual information of network traffic at each scale to enhance the model’s performance in capturing the multi-scale temporal features of network *** addition,we introduce a gated network for each of the two branches in the proposed method to assist the model in learning the feature representation of each *** experiments reveal the effectiveness of the proposed approach on two publicly available traffic intrusion detection datasets named UNSW-NB15 and NSL-KDD with F1 score of 85.03% and 99.31%,respectively,which also validates the effectiveness of enhancing the model’s ability to capture multi-scale temporal features of traffic data on detection performance.

关键词： Intrusion detection industrial internet channel spatial attention multiscale features dynamic fusion multi-output learning strategy

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Taxonomy,phylogeny,molecular dating and ancestral state reconstruction of Xylariomycetidae(Sordariomycetes)

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Fungal Diversity 2022年第1期112卷 1-88页

作者： Milan C.Samarakoon Kevin D.Hyde Sajeewa S.N.Maharachchikumbura Marc Stadler E.B.Gareth Jones Itthayakorn Promputtha Nakarin Suwannarach Erio Camporesi Timur S.Bulgakov jian-kui liu School of Life Science and Technology Center for Informational BiologyUniversity of Electronic Science and Technology of ChinaChengdu 611731People’s Republic of China Research Center in Bioresources for Agriculture Industry and MedicineChiang Mai UniversityChiang Mai 50200Thailand Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand Institute of Microbiology Technische Universität BraunschweigSpielmannstraße 738106 BrunswickGermany Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O Box 2455Riyadh 11451Kingdom of Saudi Arabia Research Center of Microbial Diversity and Sustainable Utilization Chiang Mai UniversityChiang Mai 50200Thailand A.M.B.Gruppo Micologico Forlivese"Antonio Cicognani"Via Roma 18ForliItaly Department of Plant Protection Federal Research Centre the Subtropical Scientific Centre of the Russian Academy of SciencesYana Fabritsiusa Street 2/28SochiKrasnodar RegionRussia 354002

Xylariomycetidae(Ascomycota)is a highly diversified group with variable stromatic *** research focused on inconspicuous stromatic xylarialean taxa from China,Italy,Russia,Thailand and the United *** morpho-logical descriptions,illustrations and combined ITS-LSU-rpb2-tub2-tef1 phylogenies revealed 39 taxa from our collections belonging to Amphisphaeriales and Xylariales.A new family(Appendicosporaceae),five new genera(Magnostiolata,Mela-nostictus,Neoamphisphaeria,Nigropunctata and Paravamsapriya),27 new species(Acrocordiella photiniicola,Allocryp-tovalsa sichuanensis,Amphisphaeria parvispora,Anthostomella lamiacearum,Apiospora guiyangensis,***,Biscogniauxia magna,Eutypa camelliae,Helicogermslita clypeata,Hypocopra zeae,Magnostiolata mucida,Melanostictus longiostiolatus,***,Nemania longipedicellata,***,***,***,Neoamphispha-eria hyalinospora,Neoanthostomella bambusicola,Nigropunctata bambusicola,***,***,Occul-titheca rosae,Paravamsapriya ostiolata,Peroneutypa leucaenae,Seiridium italicum and Vamsapriya mucosa)and seven new host/geographical records are introduced and *** time estimates indicate that Delonicicolales diverged from Amphisphaeriales+Xylariales at 161(123-197)*** and Xylariales diverged 154(117-190)MYA with a crown age of 127(92-165)MYA and 147(111-184)MYA,***(Amphisphaeriales)has a stem age of 89(65-117)*** character state reconstruction indicates that astromatic,clypeate ascomata with aseptate,hyaline ascospores that lack germ slits may probably be ancestral Xylariomycetidae having plant-fungal endo-phytic *** Amphisphaeriales remained mostly astromatic with common septate,hyaline *** variations may have developed mostly during the Cretaceous *** ascospores are common in Xylariales,but they first appeared in Amphisphaeriaceae,Melogrammataceae and Sp

关键词： 33 new taxa Amphisphaeriales Appendicosporaceae Evolution Stromata Xylariales

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