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Regulation of Cell Fate Determination in Plants

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889193240 Year: Pages: 84 DOI: 10.3389/978-2-88919-324-0 Language: English
Publisher: Frontiers Media SA
Subject: Botany --- Science (General)
Added to DOAB on : 2016-03-10 08:14:32
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Abstract

Plants are made up of a large number of distinct cell types that originate from a single fertilized egg cell. How the diversity of cell types arise in appropriate places is one of the most fascinating and attractive research areas of plant biology. During the past several decades, due to the development of new molecular techniques and tools, advances in optical microscopy, and availability of whole genome information and mutants in the model plant Arabidopsis and other plants, great advances have been made in understanding the mechanisms involved in cell fate determination in plants. Multiple mechanisms are used to generate cellular diversity. Asymmetric cell division is one of the primary mechanisms. As an example, asymmetric cell division enables one stem cell to generate a stem cell daughter and a daughter with a distinct identity. Initially equivalent cells can also differentiate to generate different cell types. This mechanism has been clearly demonstrated in the formation of multiple cell types during epidermis development in the shoot and root. Cell fate determination is influenced by both intrinsic factors, i.e, developmental regulators, as well as extrinsic signals, i.e., environmental stimuli. By using model systems like stomata, trichome, root hair and shoot and root apical meristem cells, ligands, receptors and transcription factors have been found to regulate cell fate determination. However, the details of signaling cassettes responsible for cell fate determination remain largely unknown. Plants are made up of a large number of distinct cell types that originate from a single fertilized egg cell. How the diversity of cell types arise in appropriate places is one of the most fascinating and attractive research areas of plant biology. During the past several decades, due to the development of new molecular techniques and tools, advances in optical microscopy, and availability of whole genome information and mutants in the model plant Arabidopsis and other plants, great advances have been made in understanding the mechanisms involved in cell fate determination in plants. This research topic contains 12 collected articles, including 2 Opinion Articles, 5 Reviews, 4 Mini Reviews, and 1 Original Research Article. Hopefully, these articles will expand our understanding of the regulation of cell fate determination in plants.

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

Salinity Tolerance in Plants

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ISBN: 9783039210268 / 9783039210275 Year: Pages: 422 DOI: 10.3390/books978-3-03921-027-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Biochemistry
Added to DOAB on : 2019-06-26 10:09:00
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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

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

Transcriptional Regulation: Molecules, Involved Mechanisms and Misregulation

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ISBN: 9783039212651 / 9783039212668 Year: Pages: 356 DOI: 10.3390/books978-3-03921-266-8 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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Transcriptional regulation is a critical biological process involved in the response of a cell, a tissue or an organism to a variety of intra- and extra-cellular signals. Besides, it controls the establishment and maintenance of cell identity throughout developmental and differentiation programs. This highly complex and dynamic process is orchestrated by a huge number of molecules and protein networks and occurs through multiple temporal and functional steps. Of note, many human disorders are characterized by misregulation of global transcription since most of the signaling pathways ultimately target components of transcription machinery. This book includes a selection of papers that illustrate recent advances in our understanding of transcriptional regulation and focuses on many important topics, from cis-regulatory elements to transcription factors, chromatin regulators and non-coding RNAs, other than several transcriptome studies and computational analyses.

Keywords

major depressive disorder --- glioblastoma --- differentially expressed genes --- transcriptomics --- common pathway --- mouse --- miR-25-3p --- Akt1 --- AP-2? --- promoter --- cell metabolism --- p57Kip2 --- CDKN1C --- epigenetics --- disease --- cell differentiation --- placenta --- long non-coding RNA (lncRNA) --- human --- pregnancy --- high-throughput RNA sequencing (RNA-Seq) --- transcriptome --- Rsh regulon --- Novosphingobium pentaromativorans US6-1 --- sphingomonads --- RNA-seq --- N-acyl-l-homoserine lactone --- ppGpp --- selenium --- selenocysteine --- selenoproteins --- selenocysteine insertion sequence --- nonsense-mediated decay --- G-quadruplex --- transcriptional regulation --- promoter --- CRISPR/Cas9 --- PRDM gene family --- TCGA data analysis --- somatic mutations --- transcriptome profiling --- human malignancies --- tristetraprolin (TTP) --- tumorigenesis --- posttranscriptional regulation --- adenosine and uridine-rich elements (AREs) --- circRNA-disease associations --- pathway --- heterogeneous network --- Patau Syndrome --- cytogenetics --- FOXO1 --- transcription factor --- molecular pathways --- bioinformatics --- molecular docking --- and drug design --- transcription regulation --- gene expression --- causal inference --- enhancer activity --- insect --- transcription factors --- structures and functions --- research methods --- progress and prospects --- Pax3 --- Pteria penguin (Röding, 1798) --- tyrosinase --- melanin --- RNA interference --- liquid chromatograph-tandem mass spectrometer (LC-MS/MS) --- epigenetics --- gene expression --- nutrition --- transcription --- disorders --- mechanisms --- Crassostrea gigas --- Pacific oyster --- pediveliger larvae --- bioadhesive --- transcriptome --- gene expression --- interactome --- microscopy --- fertilization --- self-incompatibility --- transcriptome --- tea --- long non-coding RNAs --- cancer --- acute leukemia --- therapeutic targets --- Adiponectin --- cancer --- Adiponectin receptors --- obesity --- inflammatory response --- inflammation --- nutritional status --- 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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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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