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Salicylic Acid Signaling Networks

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889198276 Year: Pages: 188 DOI: 10.3389/978-2-88919-827-6 Language: English
Publisher: Frontiers Media SA
Subject: Botany --- Science (General)
Added to DOAB on : 2016-01-19 14:05:46
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Abstract

The small phenolic compound salicylic acid (SA) is critical for plant defense against a broad spectrum of pathogens. SA is also involved in multi-layered defense responses, from pathogen-associated molecular pattern triggered basal defense, resistance gene-mediated defense, to systemic acquired resistance. Recent decades have witnessed tremendous progress towards our understanding of SA-mediated signaling networks. Many genes have been identified to have direct or indirect effect on SA biosynthesis or to regulate SA accumulation. Several SA receptors have been identified and characterization of these receptors has shed light on the mechanisms of SA-mediated defense signaling, which encompass chromosomal remodeling, DNA repair, epigenetics, to transcriptional reprogramming. Molecules from plant-associated microbes have been identified, which manipulate SA levels and/or SA signaling. SA does not act alone. It engages in crosstalk with other signaling pathways, such as those mediated by other phytohormones, in an agonistic or antagonistic manner, depending on hormones and pathosystems. Besides affecting plant innate immunity, SA has also been implicated in other cellular processes, such as flowering time determination, lipid metabolism, circadian clock control, and abiotic stress responses, possibly contributing to the regulation of plant development. The multifaceted function of SA makes it critically important to further identify genes involved in SA signaling networks, understand their modes of action, and delineate interactions among the components of SA signaling networks. In addition, genetic manipulation of genes involved in SA signaling networks has also provided a promising approach to enhance disease resistance in economically important plants. This ebook collects articles in the Research Topic "Salicylic Acid Signaling Networks". For this collection we solicited reviews, perspectives, and original research articles that highlight recent exciting progress on the understanding of molecular mechanisms underlying SA-mediated defense, SA-crosstalk with other pathways and how microbes impact these events.

Molecular and Cellular Plant Reproduction

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889452118 Year: Pages: 302 DOI: 10.3389/978-2-88945-211-8 Language: English
Publisher: Frontiers Media SA
Subject: Botany --- Science (General)
Added to DOAB on : 2017-10-13 14:57:01
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Plant reproduction is essential not only for producing offspring but also for increasing crop quality and yield. Moreover, plant reproduction entails complex growth and developmental processes, which provide a variety of opportunities for elucidating fundamental principles in biology. The combinational employment of molecular genetic approaches and emerging technologies, such as florescence-based imaging techniques and next generation sequencing, has led to important progresses in plant reproduction using model plants, crops, and trees. This e-book compiles 31 articles, including 1 hypothesis and theory, 4 perspectives, 12 reviews, and 14 original research papers. We hope that this E-book will draw attention of all plant biologists to exciting advances in the field of plant reproduction and help solve remaining challenging questions in the future. We wish to express our appreciation to all the authors, reviewers, and the Frontiers editorial office for their excellent contributions that made the publication of this e-book possible.

Abiotic Stress Effects on Performance of Horticultural Crops

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ISBN: 9783039217502/9783039217519 Year: Volume: 1 Pages: 126 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Biology
Added to DOAB on : 2019-11-05 10:43:33
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Horticultural crop yield and quality depend on genotype, environmental conditions, and production management. In particular, adverse environmental conditions may greatly affect crop performance, reducing crop yield by 50%–70%. Abiotic stresses such as cold, heat, drought, flooding, salinity, nutrient deficiency, and ultraviolet radiation affect multiple physiological and biochemical mechanisms in plants as they attempt to cope with the stress conditions. However, different crop species can have different sensitivities or tolerances to specific abiotic stresses. Tolerant plants may activate different strategies to adapt to or avoid the negative effect of abiotic stresses. At the physiological level, photosynthetic activity and light-use efficiency of plants may be modulated to enhance tolerance against the stress. At the biochemical level, several antioxidant systems may be activated, and many enzymes may produce stress-related metabolites to help avoid cellular damage, including compounds such as proline, glycine betaine, and amino acids. Within each crop species there is a wide variability of tolerance to abiotic stresses, and some wild relatives may carry useful traits for enhancing the tolerance to abiotic stresses in their progeny through either traditional or biotechnological breeding. The research papers and reviews presented in this book provide an update of the scientific knowledge of crop interactions with abiotic stresses.

Plant Genetics and Molecular Breeding

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ISBN: 9783039211753 / 9783039211760 Year: Pages: 628 DOI: 10.3390/books978-3-03921-176-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-08-28 11:21:27
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The development of new plant varieties is a long and tedious process involving the generation of large seedling populations for the selection of the best individuals. While the ability of breeders to generate large populations is almost unlimited, the selection of these seedlings is the main factor limiting the generation of new cultivars. Molecular studies for the development of marker-assisted selection (MAS) strategies are particularly useful when the evaluation of the character is expensive, time-consuming, or with long juvenile periods. The papers published in the Special Issue “Plant Genetics and Molecular Breeding” report highly novel results and testable new models for the integrative analysis of genetic (phenotyping and transmission of agronomic characters), physiology (flowering, ripening, organ development), genomic (DNA regions responsible for the different agronomic characters), transcriptomic (gene expression analysis of the characters), proteomic (proteins and enzymes involved in the expression of the characters), metabolomic (secondary metabolites), and epigenetic (DNA methylation and histone modifications) approaches for the development of new MAS strategies. These molecular approaches together with an increasingly accurate phenotyping will facilitate the breeding of new climate-resilient varieties resistant to abiotic and biotic stress, with suitable productivity and quality, to extend the adaptation and viability of the current varieties.

Keywords

sugarcane --- cry2A gene --- particle bombardment --- stem borer --- resistance --- NPK fertilizers --- agronomic traits --- molecular markers --- quantitative trait loci --- common wild rice --- Promoter --- Green tissue-specific expression --- light-induced --- transgenic chrysanthemum --- WRKY transcription factor --- salt stress --- gene expression --- DgWRKY2 --- Cucumis sativus L. --- RNA-Seq --- DEGs --- sucrose --- ABA --- drought stress --- Aechmea fasciata --- squamosa promoter binding protein-like --- flowering time --- plant architecture --- bromeliad --- Oryza sativa --- endosperm development --- rice quality --- WB1 --- the modified MutMap method --- abiotic stress --- Cicer arietinum --- candidate genes --- genetics --- heat-stress --- molecular breeding --- metallothionein --- Brassica --- Brassica napus --- As3+ stress --- broccoli --- cytoplasmic male sterile --- bud abortion --- gene expression --- transcriptome --- RNA-Seq --- sesame --- genome-wide association study --- yield --- QTL --- candidate gene --- cabbage --- yellow-green-leaf mutant --- recombination-suppressed region --- bulk segregant RNA-seq --- differentially expressed genes --- marker–trait association --- haplotype block --- genes --- root traits --- D-genome --- genotyping-by-sequencing --- single nucleotide polymorphism --- durum wheat --- bread wheat --- complex traits --- Brassica oleracea --- Ogura-CMS --- iTRAQ --- transcriptome --- pollen development --- rice --- OsCDPK1 --- seed development, starch biosynthesis --- endosperm appearance --- Chimonanthus praecox --- nectary --- floral scent --- gene expression --- Prunus --- flowering --- bisulfite sequencing --- genomics --- epigenetics --- breeding --- AP2/ERF genes --- Bryum argenteum --- transcriptome --- gene expression --- stress tolerance --- SmJMT --- transgenic --- Salvia miltiorrhiza --- overexpression --- transcriptome --- phenolic acids --- Idesia polycarpa var --- glycine --- FAD2 --- linoleic acid --- oleic acid --- anther wall --- tapetum --- pollen accumulation --- OsGPAT3 --- rice --- cytoplasmic male sterility (CMS) --- phytohormones --- differentially expressed genes --- pollen development --- Brassica napus --- Rosa rugosa --- RrGT2 gene --- Clone --- VIGS --- Overexpression --- Tobacco --- Flower color --- Anthocyanin --- sugarcane --- WRKY --- subcellular localization --- gene expression pattern --- protein-protein interaction --- transient overexpression --- soybean --- branching --- genome-wide association study (GWAS) --- near-isogenic line (NIL) --- BRANCHED1 (BRC1) --- TCP transcription factor --- Zea mays L. --- MADS transcription factor --- ZmES22 --- starch --- flowering time --- gene-by-gene interaction --- Hd1 --- Ghd7 --- rice --- yield trait --- Oryza sativa L. --- leaf shape --- yield trait --- molecular breeding --- hybrid rice --- nutrient use efficiency --- quantitative trait loci (QTLs), molecular markers --- agronomic efficiency --- partial factor productivity --- P. suffruticosa --- R2R3-MYB --- overexpression --- anthocyanin --- transcriptional regulation --- ethylene-responsive factor --- Actinidia deliciosa --- AdRAP2.3 --- gene expression --- waterlogging stress --- regulation --- Chrysanthemum morifolium --- WUS --- CYC2 --- gynomonoecy --- reproductive organ --- flower symmetry --- Hs1pro-1 --- cZR3 --- gene pyramiding --- Heterodera schachtii --- resistance --- tomato --- Elongated Internode (EI) --- QTL --- GA2ox7 --- n/a

Molecular Computing and Bioinformatics

Authors: --- ---
ISBN: 9783039211951 / 9783039211968 Year: Pages: 390 DOI: 10.3390/books978-3-03921-196-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-08-28 11:21:27
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Abstract

This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.

Keywords

prostate cancer --- Mycoplasma hominis --- endoplasmic reticulum --- systems biology --- protein targeting --- biomedical text mining --- big data --- Tianhe-2 --- parallel computing --- load balancing --- bacterial computing --- bacteria and plasmid system --- Turing universality --- recursively enumerable function --- miRNA biogenesis --- structural patterns --- DCL1 --- protein–protein interaction (PPI) --- clustering --- protein complex --- penalized matrix decomposition --- avian influenza virus --- interspecies transmission --- amino acid mutation --- machine learning --- Bayesian causal model --- causal direction learning --- K2 --- brain storm optimization --- line graph --- Cartesian product graph --- join graph --- atom-bond connectivity index --- geometric arithmetic index --- P-glycoprotein --- efflux ratio --- in silico --- machine learning --- hierarchical support vector regression --- absorption --- distribution --- metabolism --- excretion --- toxicity --- image encryption --- chaotic map --- DNA coding --- Hamming distance --- Stenotrophomonas maltophilia --- iron acquisition systems --- iron-depleted --- RAST server --- NanoString Technologies --- siderophores --- gene fusion data --- gene susceptibility prioritization --- evaluating driver partner --- gene networks --- drug-target interaction prediction --- machine learning --- drug discovery --- microRNA --- environmental factor --- structure information --- similarity network --- bioinformatics --- identification of Chinese herbal medicines --- biochip technology --- DNA barcoding technology --- DNA strand displacement --- cascade --- 8-bit adder/subtractor --- domain label --- Alzheimer’s disease --- gene coding protein --- sequence information --- support vector machine --- classification --- adverse drug reaction prediction --- heterogeneous information network embedding --- stacking denoising auto-encoder --- meta-path-based proximity --- Panax ginseng --- oligopeptide transporter --- flowering plant --- phylogeny --- transcription factor --- multiple interaction networks --- function prediction --- multinetwork integration --- low-dimensional representation --- dihydrouridine --- nucleotide physicochemical property --- pseudo dinucleotide composition --- RNA secondary structure --- ensemble classifier --- diabetes mellitus --- hypoxia-inducible factor-1? --- angiogenesis --- bone formation --- osteogenesis --- protein transduction domain --- membrane computing --- edge detection --- enzymatic numerical P system --- resolution free --- molecular computing --- molecular learning --- DNA computing --- self-organizing systems --- pattern classification --- machine learning --- laccase --- Brassica napus --- lignification --- stress --- molecular computing --- bioinformatics --- machine learning --- protein --- DNA --- RNA --- drug --- bio-inspired

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