Plant Genomics

• Other Authors: You, Frank M. (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Research & information: general; Biology, life sciences; Solanum lycopersicum; UGlcAE gene family; identification; characterization; plant hormones; gene expression; Jatropha curcas; Dof gene family; transcription factor; phylogenetic analysis; gene expression analysis; warming; BrHSFA2; BrHSP18.2s; transcriptome; alternative splicing; Kenshin; Verbena bonariensis; drought stress; transcriptome sequencing; differentially expressed genes; analysis; non-coding RNA; transcriptomes; bell pepper; chilling injury; longan; WRKY; expression analysis; flower induction; abiotic stress; chitin-binding protein; chitinase; pepper; expression; biotic stress; flax; genome-wide association study (GWAS); selective sweep; genotyping by sequencing (GBS); bi-parental population; single nucleotide polymorphism (SNP); seed yield; plant height; maturity; fatty acid composition; DNA methylation; flower color chimera; bisulfate sequencing; comparative epigenomes; transposon; ornamental Prunus mume; novel accessions; PIC; PCR; EST-gSSRs; genes; genetic distance; apple; SAP gene family; function analysis; osmotic stress; mitogen-activated protein kinase (MAPK); kiwifruit; phylogenetic relationships; biotic and abiotic stresses; genotyping-by-sequencing; Agropyron; genetic diversity; genetic structure; SNP; flaxseed; Linum usitatissimum; GWAS; seed mucilage content; seed hull content; ZmWRKY106; drought tolerance; thermotolerance; maize; Pyrus hopeiensis; cp genome; IR boundary; phylogeny; Betula halophile; salt stress; Cleistogenes songorica; LEA proteins; abiotic stresses; flow cytometry; genome size; nuclear DNA content; reference genome assembly; standardization; upland cotton; TCP genes; miR319; target genes; tea; hydroxycinnamoyl transferase; ABA signaling; hormone; stress responsive mechanism; salt tolerance; transgenic hairy root assay; soybean; regulation and efficiency of translation; genome-wide scale; experimental approaches; computational algorithms; features of plant mRNAs; EXO70; Haynaldia villosa; gene family; phylogenetic relationship; subcellular localization; expression profiling; rice; trihelix transcription factor; stress response; light; genomic selection; genomic prediction; genotyping by sequencing; pasmo resistance; pasmo severity; quantitative trait loci; single nucleotide polymorphism; Septoria linicola; Phyllostachys edulis; Dof transcription factor; flowering time; satellite DNA; genome evolution; plants; next-generation sequencing; high order repeats
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

This Special Issue contains 28 papers covering a wide range of topics related to plant genomics and genetics. The papers utilize a variety of genomic tools and techniques to explore topics such as identification of quantitative trait loci associated with flax seed yield and oil quality, mucilage and hull content in flax seeds, and genomic prediction for pasmo resistance in flax. Other papers focus on the identification and characterization of specific genes, such as the EXO70 gene family in wheat and related species, hydroxycinnamoyl transferase in tea plants, and the WRKY transcription factor GmWRKY12 in soybeans. Several papers examine gene expression and regulation in response to abiotic stress, such as drought and salt tolerance in moso bamboo, and the response to chilling in bell peppers. Other topics include genetic diversity analysis of crested wheatgrass, genome-wide analysis of chitin-binding protein gene family in peppers, and genome-wide bioinformatics analysis of MAPK gene family in kiwifruit. Overall, this Special Issue provides a comprehensive view of the current state of plant genomics research, showcasing the diversity of approaches and tools being used to better understand and improve crop plants.

Physical Description

1 electronic resource (536 p.)

ISBN

books978-3-0365-7226-0
9783036572277
9783036572260

Access

Open Access