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Book
Genome Mining and Synthetic Biology in Marine Natural Products Discovery
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In recent years, marine genomics has become a growning rapidly field, helped by the large amount of information that is becoming available to the international scientific community. Taking into account the current excitement in the field of marine biotechnology, this Special Issue entitled “Genome Mining and Synthetic Biology in Marine Natural Product Discovery” aims to to assess the impact of these molecular approaches on the discovery of bioactive compounds from marine organisms. The term “genome mining” is used to identify all bioinformatic investigations aimed at detecting the biosynthetic pathways of bioactive natural products and their possible functional and chemical interactions. Several studies are now reporting on marine organisms. Oceans cover nearly 70% of the Earth’s surface and host a huge ecological, chemical, and biological diversity. The natural conditions of the sea favor, in marine organisms, the production of a large variety of novel molecules with great pharmaceutical potential. Marine organisms are unique in their structural and functional features compared to terrestrial ones. Innovation in this field is very rapid, as revealed by the funding of several Seventh Framework Programme (FP7) and Horizon 2020 projects under the topic “Blue Growth”, with the urgent goal of discovering new drugs.


Book
Toxicological Effects of Mycotoxins on Target Cells
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Mycotoxins are a Public Health concern that in last year have reached the top 10 food and product hazard categories in the Rapid Alert System for Food and Feed (RASFF), with almost six hundred notifications. The toxicological effects of mycotoxins are evaluated through the extrapolation of results from in vivo and in vitro assays. Studies of mycotoxins’ effects at the cellular level precede those in organs and systems. All these studies are key steps for risk assessment and following legislation for mycotoxins. This Special Issue of Toxins comprises 10 original contributions and two reviews. The Issue reports new findings regarding toxic mechanisms, the use of innovative techniques to study the potential toxicity of mycotoxins not only individually but in combination, reflecting a real scenario according to current studies of mycotoxins.


Book
Molecular Research in Rice: Agronomically Important Traits 2.0
Authors: ---
ISBN: 3036549447 3036549439 Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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This volume presents recent research achievements concerning the molecular genetic basis of agronomic traits in rice. Rice (Oryza sativa L.) is the most important food crop in the world, being a staple food for more than half of the world’s population. Recent improvements in living standards have increased the worldwide demand for high-yielding and high-quality rice cultivars. To develop novel cultivars with superior agronomic performance, we need to understand the molecular basis of agronomically important traits related to grain yield, grain quality, disease resistance, and abiotic stress tolerance. Decoding the whole rice genome sequence revealed that ,while there are more than 37,000 genes in the ~400 Mbp rice genome, there are only about 3000 genes whose molecular functions are characterized in detail. We collected in this volume the continued research efforts of scholars that elucidate genetic networks and the molecular mechanisms controlling agronomically important traits in rice.


Book
Cell Signaling in Model Plants
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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This book provides new and in-depth insights into molecular aspects of plant cell signaling in response to biotic, such as aphid- and grey mold disease-resistance, and abiotic stresses, such as soil salinity and drought stress, and additionally, functional analysis on signaling components involved in flowering, juvenility, GA signaling, and biosynthesis, and miRNA-regulated gene expression. Furthermore, plant acclimation was reported, with emphasis on mechanistic insights into the roles of brassinosteroids, cyclic AMP, and hydrogen sulfide, and the recent advances of transmembrane receptor-like kinases were refined. Clearly, plant cell signaling is an intensive topic and whether it is now or in the future, the emerging technology in functional analysis such as genome editing technologies, high-throughput technologies, integrative multiple-omics as well as bioinformatics can assist researchers to reveal novel aspects of the regulatory mechanisms of plant growth and development, and acclimation to environmental and biotic stresses. The achievement of such research will be useful in improving crop stress tolerances to increase agricultural productivity and sustainability for the food supply of the world.


Book
Genetics of Animal Health and Disease in Livestock
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Wood surface attributes can be established by examining its several different physical or chemical properties. Differences in the wood surfaces occur between the manufacturing and post-treatment processes as well. Understanding how their unique anisotropic molecular organization, chemical linkages, branching, and other molecular features govern micro- and macroscale accessibility is essential for coating and complex modification processes. It is therefore important for scientific as well as practical reasons to qualify and quantify the effects of wood surface treatments and modifications. Challenges still exist to fully understanding the effect of the numerous applied chemicals and the wide range of treatment processes on wood surfaces.


Book
Salinity Tolerance in Plants
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ISBN: 3039210270 3039210262 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Salt stress is one of the most damaging abiotic stresses because most crop plants are susceptible to salinity to different degrees. According to the FAO, about 800 million Has of land are affected by salinity worldwide. Unfortunately, this situation will worsen in the context of climate change, where there will be an overall increase in temperature and a decrease in average annual rainfall worldwide. This Special Issue presents different research works and reviews on the response of plants to salinity, focused from different points of view: physiological, biochemical, and molecular levels. Although an important part of the studies on the response to salinity have been carried out with Arabidopsis plants, the use of other species with agronomic interest is also notable, including woody plants. Most of the conducted studies in this Special Issue were focused on the identification and characterization of candidate genes for salt tolerance in higher plants. This identification would provide valuable information about the molecular and genetic mechanisms involved in the salt tolerance response, and it also supplies important resources to breeding programs for salt tolerance in plants.

Keywords

soluble nutrients --- transcription factor --- n/a --- CDPK --- salicylic acid --- antioxidant enzymes --- light saturation point --- phytohormone --- ion homeostasis --- antioxidant systems --- photosynthesis --- Chlamydomonas reinhardtii --- high salinity --- nitric oxide --- poplars (Populus) --- root activity --- abiotic stresses --- transcriptional activator --- germination --- ABA --- transcriptome --- mandelonitrile --- redox homeostasis --- association mapping. --- redox signalling --- osmotic stress --- flax --- strigolactones --- salt tolerance --- nucleolin --- CaDHN5 --- photosystem --- EST-SSR --- NMT --- Sapium sebiferum --- Gossypium arboretum --- SOS --- Brassica napus --- SnRK2 --- HKT1 --- grapevine --- transcription factors --- cucumber --- underpinnings of salt stress responses --- abiotic stress --- Arabidopsis thaliana --- RNA-seq --- halophytes --- single nucleotide polymorphisms --- dehydrin --- J8-1 plum line --- chlorophyll fluorescence --- natural variation --- hydrogen peroxide --- salt stress --- lipid peroxidation --- ROS detoxification --- ROP --- molecular mechanisms --- cell membrane injury --- booting stage --- ascorbate cycle --- banana (Musa acuminata L.) --- iTRAQ quantification --- ROS --- Na+ --- Capsicum annuum L. --- bZIP transcription factors --- multiple bioactive constituents --- NaCl stress --- physiological changes --- VOZ --- transcriptional regulation --- genome-wide identification --- Apocyni Veneti Folium --- impairment of photosynthesis --- salt-stress --- Oryza sativa --- reactive oxygen species --- lipid accumulation --- polyamines --- multivariate statistical analysis --- DEUs --- salinity --- TGase --- Salt stress --- Prunus domestica --- proteomics --- Arabidopsis --- RNA binding protein --- rice --- glycophytes --- SsMAX2 --- drought --- genome-wide association study --- transcriptome analysis --- signal pathway --- melatonin --- MaROP5g


Book
Computational intelligence in cancer diagnosis : progress and challenges
Authors: --- --- --- --- --- et al.
ISBN: 0323903533 0323852408 9780323903530 9780323852401 Year: 2023 Publisher: London, United Kingdom ; San Diego, CA : Academic Press is an imprint of Elsevier,

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"Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems.The book's chapters are written by international experts from both cancer research, oncology and computational sides to cover different aspects and make it comprehensible for readers with no background on informatics. Key Features: Contains updated information about advanced computational intelligence, spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems in diagnosing cancer diseases. Discusses several cancer types, including their detection, treatment and prevention. Presents case studies that illustrate the applications of intelligent computing in data analysis to help readers to analyze and advance their research in cancer"--Provided by publisher.

Keywords

Computational intelligence. --- Artificial Intelligence. --- Neoplasms --- Gene Expression Profiling. --- diagnosis. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Gene Expression Monitoring --- Transcriptome Analysis --- Gene Expression Analysis --- Gene Expression Pattern Analysis --- Transcript Expression Analysis --- Transcriptome Profiling --- Transcriptomics --- mRNA Differential Display --- Analyses, Gene Expression --- Analyses, Transcript Expression --- Analyses, Transcriptome --- Analysis, Gene Expression --- Analysis, Transcript Expression --- Analysis, Transcriptome --- Differential Display, mRNA --- Differential Displays, mRNA --- Expression Analyses, Gene --- Expression Analysis, Gene --- Gene Expression Analyses --- Gene Expression Monitorings --- Gene Expression Profilings --- Monitoring, Gene Expression --- Monitorings, Gene Expression --- Profiling, Gene Expression --- Profiling, Transcriptome --- Profilings, Gene Expression --- Profilings, Transcriptome --- Transcript Expression Analyses --- Transcriptome Analyses --- Transcriptome Profilings --- mRNA Differential Displays --- Gene Expression --- Oligonucleotide Array Sequence Analysis --- Transcriptome --- Subtractive Hybridization Techniques --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Cancer --- Artificial Intelligence --- Diagnosis --- Data processing. --- diagnosis


Book
Molecular Research in Rice : Agronomically Important Traits
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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This volume presents recent research achievements concerning the molecular genetic basis of agronomic traits in rice. Rice (Oryza sativa L.) is the most important food crop in the world, being a staple food for more than half of the world’s population. Recent improvements in living standards have increased the worldwide demand for high-yielding and high-quality rice cultivars. To achieve improved agricultural performance in rice, while overcoming the challenges presented by climate change, it is essential to understand the molecular basis of agronomically important traits. Recently developed techniques in molecular biology, especially in genomics and other related omics fields, can reveal the complex molecular mechanisms involved in the control of agronomic traits. As rice was the first crop genome to be sequenced, in 2004, molecular research tools for rice are well-established, and further molecular studies will enable the development of novel rice cultivars with superior agronomic performance.

Keywords

chloroplast RNA splicing and ribosome maturation (CRM) domain --- intron splicing --- chloroplast development --- rice --- rice (Oryza sativa L.), grain size and weight --- Insertion/Deletion (InDel) markers --- multi-gene allele contributions --- genetic variation --- rice germplasm --- disease resistance --- microbe-associated molecular pattern (MAMP) --- Pyricularia oryzae (formerly Magnaporthe oryzae) --- Oryza sativa (rice) --- receptor-like cytoplasmic kinase (RLCK) --- reactive oxygen species (ROS) --- salinity --- osmotic stress --- combined stress --- GABA --- phenolic metabolism --- CIPKs genes --- shoot apical meristem --- transcriptomic analysis --- co-expression network --- tiller --- nitrogen rate --- rice (Oryza sativa L.) --- quantitative trait locus --- grain protein content --- single nucleotide polymorphism --- residual heterozygote --- rice (Oryza sativa) --- specific length amplified fragment sequencing --- Kjeldahl nitrogen determination --- near infrared reflectance spectroscopy --- heterosis --- yield components --- high-throughput sequence --- FW2.2-like gene --- tiller number --- grain yield --- CRISPR/Cas9 --- genome editing --- off-target effect --- heat stress --- transcriptome --- anther --- anthesis --- pyramiding --- bacterial blight --- marker-assisted selection --- foreground selection --- background selection --- japonica rice --- cold stress --- germinability --- high-density linkage map --- QTLs --- seed dormancy --- ABA --- seed germination --- chromosome segment substitution lines --- linkage mapping --- Oryza sativa L. --- chilling stress --- chlorophyll biosynthesis --- chloroplast biogenesis --- epidermal characteristics --- AAA-ATPase --- salicylic acid --- fatty acid --- Magnaporthe oryzae --- leaf senescence --- quantitative trait loci --- transcriptome analysis --- genetic --- epigenetic --- global methylation --- transgenic --- phenotype --- OsNAR2.1 --- dwarfism --- OsCYP96B4 --- metabolomics --- NMR --- qRT-PCR --- bHLH transcription factor --- lamina joint --- leaf angle --- long grain --- brassinosteroid signaling --- blast disease --- partial resistance --- pi21 --- haplotype --- high night temperature --- wet season --- dry season --- n/a


Book
Genetics and Improvement of Forest Trees
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Forest tree improvement has mainly been implemented to enhance the productivity of artificial forests. However, given the drastically changing global environment, improvement of various traits related to environmental adaptability is more essential than ever. This book focuses on genetic information, including trait heritability and the physiological mechanisms thereof, which facilitate tree improvement. Nineteen papers are included, reporting genetic approaches to improving various species, including conifers, broad-leaf trees, and bamboo. All of the papers in this book provide cutting-edge genetic information on tree genetics and suggest research directions for future tree improvement.

Keywords

early selection --- stomatal characteristics --- water stress --- water relations --- specific leaf area --- Eucalyptus clones --- LTR-retrotransposon --- Ty3-gypsy --- Ty1-copia --- IRAP --- molecular markers --- bamboo --- Phyllostachys --- genetic diversity --- populations structure --- AMOVA --- central-marginal hypothesis --- cline --- Pinaceae --- trailing edge population --- Sakhalin fir --- sub-boreal forest --- gibberellin --- male strobilus induction --- transcriptome --- conifer --- Cryptomeria japonica --- linkage map --- male sterility --- marker-assisted selection --- C. fortunei --- differentially expressed genes --- phenylpropanoid metabolism --- candidate genes --- Camellia oleifera --- leaf senescence --- transcriptome analysis --- senescence-associated genes --- physiological characterization --- cpDNA --- next generation sequencing --- northern limit --- nucleotide diversity --- phylogeny --- In/Del --- SNP --- SSR --- Chinese fir --- heartwood --- secondary metabolites --- widely targeted metabolomics --- flavonoids --- amplicon sequencing --- AmpliSeq --- genomic selection --- Japanese cedar (Cryptomeria japonica) --- multiplexed SNP genotyping --- spatial autocorrelation error --- pine wood disease --- resistance to pine wood nematode --- inoculation test --- multisite --- cumulative temperature --- Pinus thunbergii --- Thujopsis dolabrata --- EST-SSR markers --- varieties --- population structure --- pine wilt disease --- Bursaphelenchus xylophilus --- genotype by environment interaction --- Japanese black pine --- variance component --- local adaptation --- silviculture --- seed zone --- tree improvement program --- breeding --- genotype × environment interaction --- mast seeding --- seed production --- thinning --- forest tree breeding --- high-throughput phenotyping --- epigenetics --- genotyping --- genomic prediction models --- quantitative trait locus --- breeding cycle --- Cryptomeria japonica var. sinensis --- demographic history --- RAD-seq --- ancient tree --- conservation --- infrared thermography --- chlorophyll fluorescence --- cumulative drought stress --- genetic conservation --- genetic management --- pine wood nematode --- pine wood nematode-Pinus thunbergii resistant trees --- n/a


Book
Physiological and Molecular Characterization of Crop Resistance to Abiotic Stresses
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abiotic stress represents the main constraint for agriculture, affecting plant growth and productivity worldwide. Yield losses in agriculture will be potentiated in the future by global warming, increasing contamination, and reduced availability of fertile land. The challenge for agriculture of the present and future is that of increasing the food supply for a continuously growing human population under environmental conditions that are deteriorating in many areas of the world. Minimizing the effects of diverse types of abiotic stresses represents a matter of general concern. Research on all topics related to abiotic stress tolerance, from understanding the stress response mechanisms of plants to developing cultivars and crops tolerant to stress, is a priority. This Special Issue is focused on the physiological and molecular characterization of crop resistance to abiotic stresses, including novel research, reviews, and opinion articles covering all aspects of the responses and mechanisms of plant tolerance to abiotic. Contributions on physiological, biochemical, and molecular studies of crop responses to abiotic stresses; the description and role of stress-responsive genes; marker-assisted screening of stress-tolerant genotypes; genetic engineering; and other biotechnological approaches to improve crop tolerance were considered.

Keywords

silicon --- strawberry --- total antioxidants --- drought --- stress responses --- arbuscular mycorrhizal fungus (AMF) --- Rhizophagus clarus --- flood --- plants --- hormonal homeostasis --- physiological activity --- drought tolerance --- LEA --- Tevang 1 maize --- tobacco --- xylem vessel --- water stress --- root anatomy --- vegetable crops --- stomatal conductance --- canopy temperature --- chlorophyll fluorescence --- SPAD --- common buckwheat --- cotyledon --- root --- drought stress --- transcriptome analysis --- alfalfa --- evaluation --- growth --- heat stress --- physiological traits --- sodium azide --- okra --- waterlogging stress --- antioxidants --- gene expression --- salinity --- sodium --- potassium --- ion homeostasis-transport determinants --- CBL gene family --- Provitamin A --- maize --- morphological --- physiological --- biochemical --- β-carotene --- Capsicum annuum L. --- salt stress --- salicylic acid --- yeast --- proline --- pomegranate --- transcriptome --- tissue-specific --- signaling transduction pathways --- transcription factors --- ultrastructure --- osmotic stress --- wheat --- barley --- summer maize --- female panicle --- Abiotic stress --- climate change --- combined drought and heat stress --- genetic resources --- landrace accessions --- coated-urea fertilizer --- humic acid --- lignosulfonate --- natural polymers --- seaweed extract --- aquaporin --- Brassica rapa --- gas exchange parameters --- root hydraulic conductance --- zinc --- ALA --- abiotic stress --- chlorophyll --- photosynthesis --- antioxidant enzyme --- tomato cultivars --- salinity tolerance --- antioxidant activity --- lycopene --- ascorbic acid --- total polyphenols content --- Capsicum annuum --- root structure --- root hairs --- phosphorus use efficiency --- P-starvation --- macrominerals --- nutrient --- breeding --- eggplant --- wild relative --- vegetative growth --- ion homeostasis --- osmolytes --- oxidative stress --- Phaseolus --- landrace --- seed --- germination --- genetic approach --- sustainable agriculture --- weeds --- natural herbicides --- secondary metabolites --- postemergence --- phytotoxicity --- abiotic stress biomarkers --- bean landraces --- plant breeding --- salt stress tolerance --- water deficit --- water stress tolerance --- tea plant --- cold stress --- chitosan oligosaccharide --- physiological response --- plant growth --- agriculture --- traditions --- pseudo-science --- lunar phases --- physics --- biology --- education --- flooding --- nutrient stress --- ROS

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