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Thailand’s amazing diversity:up to 96%of fungi in northern Thailand may be novel

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Fungal Diversity 2018年第6期93卷 215-239页

作者： Kevin D.Hyde Chada Norphanphoun Jie Chen Asha J.Dissanayake Mingkwan Doilom Sinang Hongsanan Ruvishika S.Jayawardena Rajesh Jeewon Rekhani H.Perera Benjarong Thongbai Dhanushka N.Wanasinghe Komsit Wisitrassameewong Saowaluck Tibpromma Marc Stadler Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand Instituto de Ecologı́a A.C.CP 91070 XalapaVeracruzMexico World Agro Forestry Centre East and Central Asia132 Lanhei RoadKunming 650201YunnanPeople’s Republic of China Department of Biology Faculty of ScienceChiang Mai UniversityChiang Rai 50200Thailand Shenzhen Key Laboratory of Microbial Genetic Engineering College of Life Sciences and OceanographyShenzhen UniversityShenzhenPeople’s Republic of China Shenzhen Key Laboratory of Laser Engineering College of Optoelectronic EngineeringShenzhen UniversityShenzhenPeople’s Republic of China Department of Health Sciences Faculty of ScienceUniversity of MauritiusReduit 80837Mauritius National Science Technology and Innovation Policy Office Bangkok 10330Thailand Department of Microbial Drugs and german Centre for Infection Research(DZIF) partner site Hannover-BraunschweigHelmholtz Centre for Infection ResearchInhoffenstrasse 738124 BrunswickGermany

Fungi have been often neglected,despite the fact that they provided penicillin,lovastatin and many other important *** are an understudied,but essential,fascinating and biotechnologically useful group of *** study of fungi in northern Thailand has been carried out by us since *** studies have been diverse,ranging from ecological aspects,phylogenetics with the incorportation of molecular dating,taxonomy(including morphology and chemotaxonomy)among a myriad of microfungi,to growing novel mushrooms,and DNA-based identification of plant *** this paper,advances in understanding the biodiversity of fungi in the region are discussed and compared with those further *** new species have been inventoried for the region,but many unknown species remain to be described and/or *** example,in the edible genus Agaricus,over 35 new species have been introduced from northern Thailand,and numerous other taxa await *** this relatively well known genus,93%of species novelty is *** the microfungi,which are relatively poorly studied,the percentage of novel species is,surprisingly,generally not as high(55–96%).As well as Thai fungi,fungi on several hosts from Europe have been also *** with the well studied European microfungi an astounding percentage of new taxa(32–76%)have been *** work is just a beginning and it will be a daunting task to document this astonishingly high apparent novelty among fungi.

关键词： Agaricus Amanita Colletotrichum Cornus Fungal diversity Pandanaceae Rosaceae Rosa Teak fungi

Analysis of TK and C18L Genes of Wild-type and Cell Culture Passaged Camelpox Virus

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Virologica Sinica 2013年第4期28卷 239-241页

作者： Muaz M.Abdellatif Bashir Salim Awad A.Ibrahim Tigani Asil Abdelmalik I.Khalafalla Department of Microbiology Faculty of Veterinary Medicine University of Khartoum Department of Microbiology Faculty of Veterinary Science University of Nyala Southern Darfur P.O. Box 155 Nyala Sudan Department of Pathology Faculty of Veterinary Science University of Nyala Southern Darfur P.O. Box 155 Nyala Sudan

Dear Editor, Camelpox is an infectious skin disease of camels caused by camelpox virus (CMLV). It is confined to camel rearing belts of developing countries (Wernery U, et al., 2002). CMLV is classified in the Orthopo... 详细信息

关键词：痘病毒骆驼细胞培养野生型 L基因 C18 传染性皮肤病发展中国家

Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables:State of the art and perspectives

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Artificial Intelligence in Agriculture 2023年第3期9卷 46-60页

作者： Sèton Calmette Ariane Houetohossou Vinasetan Ratheil Houndji Castro Gbêmêmali Hounmenou Rachidatou Sikirou Romain Lucas Glele Kakaï Laboratoire de Biomathématiques et d'Estimations Forestières Faculty of Agronomic SciencesUniversity of Abomey-Calavi04 BP 1525CotonouBenin Institut de Formation et de Recherche en Informatique University of Abomey-Calavi01 BP 526CotonouBenin Laboratoire de Défense des Cultures Centre de Recherches Agricoles d'AgonkanmeyInstitut National des Recherches Agricoles du Bénin(INRAB)01 BP 884CotonouBenin

Deep Learning(DL),a type of Machine Learning,has gained significant interest in many fields,including *** paper aims to shed light on deep learning techniques used in agriculture for abiotic and biotic stress detection in fruits and vegetables,their benefits,and the challenges faced by *** papers were collected from Web of Science,Scopus,Google Scholar,Springer,and Directory of Open Access Journals(DOAJ)using combinations of specific keywords such as:’Deep Learning’OR’Artificial Intelligence’in combination with fruit disease’,vegetable disease’,‘fruit stress',OR‘vegetable stress'following PRISMA *** the initial 818 papers identified using the keywords,132 were reviewed after excluding books,reviews,and the *** recovered scientific papers were from 2003 to 2022;93%addressed biotic stress on fruits and *** most common biotic stresses on species are fungal diseases(grey spots,brown spots,black spots,downy mildew,powdery mildew,and anthracnose).Few studies were interested in abiotic stresses(nutrient deficiency,water stress,light intensity,and heavy metal contamination).Deep Learning and Convolutional Neural Networks were the most used keywords,with GoogleNet(18.28%),ResNet50(16.67%),and VGG16(16.67%)as the most used ***-two percent of the data used to compile these models come from the fields,followed by data obtained *** problems due to unbalanced classes and the small size of some databases were also *** provided the research gaps and some perspectives from the reviewed *** research works are required for a deep understanding of the use of machine learning techniques in fruit and vegetable studies:collection of large datasets according to different scenarios on fruit and vegetable diseases,evaluation of the effect of climatic variability on the fruit and vegetable yield using AI methods and more abiotic stress studies.

关键词： Deep learning Prediction Fruits Vegetables Stress Agricultural yield

Assessment of Seasonal Rainfall Prediction in Ethiopia: Evaluating a Dynamic Recurrent Neural Network to Downscale ECMWF-SEAS5 Rainfall

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Advances in Atmospheric Sciences 2024年第11期41卷 2230-2244页

作者： Abebe KEBEDE Kirsten WARRACH-SAGI Thomas SCHWITALLA Volker WULFMEYER Tesfaye ABEBE Markos WARE Hawassa University College of Agriculture P.O.Box 05HawassaEthiopia Institute of Physics and Meteorology University of HohenheimP.O.Box 70599StuttgartGermany Arba Minch University Water Institute of Technology Faculty of Meteorology and HydrologyP.O.Box 21Arba MinchEthiopia

Seasonal rainfall plays a vital role in both environmental dynamics and decision-making for rainfed agriculture in Ethiopia, a country often impacted by extreme climate events such as drought and flooding. Predicting the onset of the rainy season and providing localized rainfall forecasts for Ethiopia is challenging due to the changing spatiotemporal patterns and the country's rugged topography. The Climate Hazards Group Infra Red Precipitation with Station Data(CHIRPS), ERA5-Land total precipitation and temperature data are used from 1981–2022 to predict spatial rainfall by applying an artificial neural network(ANN). The recurrent neural network(RNN) is a nonlinear autoregressive network with exogenous input(NARX), which includes feed-forward connections and multiple network layers, employing the Levenberg Marquart algorithm. This method is applied to downscale data from the European Centre for Medium-range Weather Forecasts fifth-generation seasonal forecast system(ECMWF-SEAS5) and the Euro-Mediterranean Centre for Climate Change(CMCC) to the specific locations of rainfall stations in Ethiopia for the period 1980–2020. Across the stations, the results of NARX exhibit strong associations and reduced errors. The statistical results indicate that, except for the southwestern Ethiopian highlands, the downscaled monthly precipitation data exhibits high skill scores compared to the station records, demonstrating the effectiveness of the NARX approach for predicting local seasonal rainfall in Ethiopia's complex terrain. In addition to this spatial ANN of the summer season precipitation, temperature, as well as the combination of these two variables, show promising results.

关键词： station prediction downscaling artificial neural networks rainfall

Isolation, purification and structure elucidation of three newbioactive secondary metabolites from Streptomyces lividans AM

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BIOCELL 2021年第5期45卷 1263-1271页

作者： MOHAMMAD EL-METWALLY MAMDOUH ABDEL-MOGIB MANAL ELFEDAWY GAAD SOHSAH AHMED REZK MAHMOUD MOUSTAFA MOHAMED SHAABAN Botany and Microbiology Department Faculty of ScienceDamanhour UniversityDamanhour22511Egypt Chemistry Department Faculty of ScienceMansoura UniversityEl-Mansoura35516Egypt Bioprocess Development Department Genetic Engineering and Biotechnology Research InstituteCity of Scientific Research and Technological Applications(SRTA-City)New Borg El-Arab CityAlexandria21934Egypt Biology Department College of ScienceKing Khalid UniversityAbha9004Saudi Arabia Chemistry of Natural Compounds Department Division of Pharmaceutical IndustriesNational Research CentreDokki-Cairo12622Egypt Organic and Bioorganic Chemistry Department of ChemistryBielefeld UniversityBielefeld33615Germany

Microorganisms are a huge mine of bioactive metabolites,and actinomycetes are one of the very active groups in this *** this article,we are concerned about the full taxonomical characterization of Streptomyces lividans AM,isolated from Egyptian *** isolate produced three new bioactive metabolites,namely:1-Nona-decanoyl,4-oleyl disuccinate(1),filoboletic acid;(9Z,11E)-8,13-dihydroxy octadeca-9,11-dienoic acid(2),and sitosteryl-3β-D-glucoside(3).Extensive 1D and 2D NMR and HR-mass spectrometry were used to elucidate the structures of the three ***,ten known compounds were also *** antimicrobial activity of the producing organism and newly reported compounds(1–3)was investigated against a selected group of pathogenic microorganisms.A full taxonomical characterization of the strain was described as well.

关键词： Bioactive metabolites Streptomyces sp. Taxonomy Biological activity

Monitoring of organochlorine pesticides in the urban air of Dalian, China with semipermeable membrane devices

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Chinese Science Bulletin 2014年第24期59卷 2957-2965页

作者： Xiuhua Zhu Taian Shi Bernhard Henkelmann Gerd Pfister Wei Wang Jun Mu Xiaoxiao Li Liangjun Han Karl-Werner Schramm School of Environmental and Chemical Engineering Dalian Jiaotong University Helmholtz Center Munich-german Research Center for Environmental Health (GmbH) Molecular EXposomics (MEX)Ingolstdter Landstr. 1 85764 Neuherberg Munich Germany Dalian Meteorological Observatory Department fr Biowissenschaften Technische Universitt Mnchen Weihenstephaner Steig 23 85350 Freising Germany

The concentrations of 28 organochlorine pesticides(OCPs)in the urban air of Dalian,China were measured using semipermeable membrane devices(SPMDs)for the first ***-hexachlorocyclohexane(a-HCH),b-HCH,pentachlorobenzene(PentCB),hexachlorobenzene(HexCB),4,40-dichlorodiphenyltrichloroethane(4,40-DDT),4,40-dichlorodiphenyldichloroethene,endosulfan-I and endosulfan-II were the predominant OCPs in the urban air of *** concentration of OCPs sequestrated by SPMDs(CSPMD)ranged from undetected to 56,772 pg SPMD-1and had a linear correlation with the reciprocal of the average ambient atmospheric temperature(1/T).The CSPMDof PentCB and HexCB had negative correlations with T,whereas the other detected OCPs had a positive *** source of HCHs,DDTs,HexCB,PentCB,chlordane,and endosulfan in the air were also *** OCPs in the urban air of Dalian could be attributed to the seasonal usage of pesticides,combustion,volatilization of aged OCPs from soil,water,plants,and long-range atmospheric transport.

关键词：有机氯农药半透膜装置空气监测城市空气二氯二苯基三氯乙烷大连中国浓度范围

Assessing Possibilities and Limitations for Biomarker Analyses on Outcrop Samples:A Case Study on Carbonates of the Shibantan Member (Ediacaran Period, Dengying Formation, South China)

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Acta Geologica Sinica(English Edition) 2014年第6期88卷 1696-1704页

作者： Jan-Peter DUDA Volker THIEL Joachim REITNER Martin BLUMENBERG Geoscience Centre Geobiology Group Georg-August-University GttingenGoldschmidtstr.337077 Gttingen Germany Federal Institute for Geosciences and Natural Resources (BGR) Stilleweg 2 30655 Hannover Germany

The Shibantan Member（Dengying Formation, South China） represents one of only two carbonate settings with Ediacara-type organisms and offers a rare opportunity to study the biogeochemistry of these ecosystems. To evaluate possibilities and limitations for future biomarker studies on fossil-bearing outcrop samples of the Shibantan Member, we analysed the spatial distribution of hydrocarbons in extractable organic matter（i.e. bitumen） on a millimetre scale. Our study demonstrates that the sample and most likely also other rocks from the same setting are contaminated with petroleum-derived compounds that bear the potential for erroneous interpretations in palaeo-reconstructions. The contamination was revealed by distribution patterns and amounts of extractable n-alkanes and acyclic isoprenoids. The contamination is linked to the external weathering surfaces but also to cracks within the rock, and the extent most likely depends on concentration gradients between these contamination sources. Here we show that contamination can successfully be distinguished from syngenetic signals obtained from non-extractable organic matter（i.e. kerogen） using catalytic hydropyrolysis（Hy Py）. However, we observed that decalcification is necessary to achieve sufficient yields of kerogen-bound hydrocarbons and to avoid artificial alteration of the biomarker signals due to matrix effects.

关键词： Ediacaran biomarkers contamination syngeneity slice-experiments catalytic hydropyrolysis(HyPy)

Field curing methods and storage duration affect the quality of hay from six rangeland grass species in Kenya

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Ecological Processes 2016年第1期5卷 32-37页

作者： O.K.Koech R.N.Kinuthia G.N.Karuku S.M.Mureithi R.Wanjogu Department of Land Resource Management and Agricultural Technology Range Management SectionUniversity of NairobiP.O.Box 209053-00625NairobiKenya National Irrigation Board Mwea Irrigation Agricultural Development(MIAD)CentreP.O.Box 21010303 WanguruKenya

Introduction:Rangelands are important source of pasture for livestock in Kenya since time immemorial to pastoral ***,seasonality on forage availability has been a big challenge in meeting animals’feed *** demands harvest and storage of pastures for use during dry *** making has been done to bridge this forage deficit ***,hay quality in the rangelands is affected by curing methods,phonological stage at harvest,and the storage *** therefore evaluated the effect of field curing and storage duration on the quality(Crude Protein(CP))of hay from six rangeland grasses in ***:The grasses evaluated are Chloris roxburghiana,Eragrostis superba,Enteropogon macrostachyus,Cenchrus ciliaris,Chloris gayana,and Sorghum *** grasses are the common species in the rangelands of Kenya and have been promoted in the past for hay making and reseeding *** grasses were harvested at the mature flowering stage(12 weeks phenological stage),which is a period that provides high biomass without much effect on quality as practiced in the study *** grasses were then cured in the field for 1,2,and 3 days before baling and stored indoors for 12,24,and 36 *** were taken for CP content determination at the three periods following Macro-Kjeldahl ***:There was significant decline(p≤0.05)in crude protein content in all the grass species with storage *** period did not affect the CP content for all the species at a given storage period;however,3 days curing changed the hay color from green to brownish which reduces palatability and consequently reduced feed *** period of over 12 weeks adversely lowered CP to less than 6% for all the species which is the required minimum level for animal under production and *** had significantly higher decline in CP after 24 weeks storage compared to the other ***:Therefore,hay from the six grass spec

关键词： Grass quality Range grasses Semi-arid rangelands Grass storage Grass curing Kenya

Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models

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npj Computational Materials 2021年第1期7卷 1783-1791页

作者： Elisabeth J.Schiessler Tim Würger Sviatlana V.Lamaka Robert H.Meißner Christian J.Cyron Mikhail L.Zheludkevich Christian Feiler Roland C.Aydin Institute of Material Systems Modeling Helmholtz-Zentrum HereonGeesthachtGermany Institute of Surface Science Helmholtz-Zentrum HereonGeesthachtGermany Institute of Polymers and Composites Hamburg University of TechnologyHamburgGermany Institute for Continuum and Material Mechanics Hamburg University of TechnologyHamburgGermany Institute for Materials Science Faculty of EngineeringKiel UniversityKielGermany

The degradation behaviour of magnesium and its alloys can be tuned by small organic ***,an automatic identification of effective organic additives within the vast chemical space of potential compounds needs sophisticated ***,we propose two systematic approaches of sparse feature selection for identifying molecular descriptors that are most relevant for the corrosion inhibition efficiency of chemical *** is based on the classical statistical tool of analysis of variance,the other one based on random *** demonstrate how both can—when combined with deep neural networks—help to predict the corrosion inhibition efficiencies of chemical compounds for the magnesium alloy *** particular,we demonstrate that this framework outperforms predictions relying on a random selection of molecular ***,we point out how autoencoders could be used in the future to enable even more accurate automated predictions of corrosion inhibition efficiencies.

关键词： corrosion alloy magnesium