Special Issue "Genome-Wide Identification and Expression Analysis for the Genetic Improvement of Forest Plants"

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Genetics and Molecular Biology".

Deadline for manuscript submissions: 20 December 2023 | Viewed by 538

Special Issue Editors

Institute for Advanced Study, Chengdu University, Chengdu, China
Interests: plant genomics; comparative genomic analysis; phylogenomics; functional gene analysis; transcriptomics
Special Issues, Collections and Topics in MDPI journals
College of Forestry, Northwest A&F University, Yangling, China
Interests: saline stress; drought stress; transcriptional control; functional gene analysis
School of Marine Sciences, Ningbo University, Ningbo, China
Interests: plant genomics; population genomics; landscape genomics; adaptive evolution

Special Issue Information

Dear Colleagues,

As key components of forest ecosystems, forest plants provide valuable habitats that increase biodiversity and environmentally friendly products to fulfill human needs, and play a critical role in the global carbon cycle. With the rapid development of molecular biology and genomics, genetic breeding has become an efficient way to improve the quality and productivity of forest plants. Genome-wide identification and analysis of genes related to various important traits is essential for the genetic improvement programs of forest plants. Recent advances in high-throughput sequencing technologies have enabled us to gain insights into the genetic mechanisms that underlie growth traits in forest plant species. Multiple sequencing technologies with increased accuracy have also allowed us to perform more accurate identification of functional genes. We would like to announce this Special Issue of the journal Forests, which will concentrate on articles focused on accurate genome-wide identification and expression analysis of genes related to growth traits in various types of forest plants with ecological or economic importance. Studies concerned with the improvement of identification methods, population-level functional diversity analysis, or functional verification of candidate genes are most welcome. Both theoretical and empirical contributions will also be suitable for this Special Issue.

Dr. Mingcheng Wang
Dr. Shaofei Tong
Dr. Shanshan Zhu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • forest plants
  • genetic improvement
  • growth trait-related genes
  • expression analysis
  • functional diversity
  • high-throughput sequencing

Published Papers (1 paper)

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Research

Article
Genome-Wide Analysis, Identification, and Characterization of the PFK Gene Family Members of Populus deltoides
Forests 2023, 14(6), 1104; https://doi.org/10.3390/f14061104 - 26 May 2023
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Abstract
Plants produce two phosphorylated enzymes: pyrophosphate-dependent fructose-6-phosphate phosphotransferase (PFP) and ATP-dependent phosphofructokinase (PFK). However, the characterization of phosphofructokinase (PFK) family members and their functions remains unexplored in Eastern Cottonwood (Populus deltoides). This study comprehensively analyzed 17 phosphofructokinase genes in the P. [...] Read more.
Plants produce two phosphorylated enzymes: pyrophosphate-dependent fructose-6-phosphate phosphotransferase (PFP) and ATP-dependent phosphofructokinase (PFK). However, the characterization of phosphofructokinase (PFK) family members and their functions remains unexplored in Eastern Cottonwood (Populus deltoides). This study comprehensively analyzed 17 phosphofructokinase genes in the P. deltoides genome, including their gene structure, conserved domains, evolutionary relationships, and expression patterns. Genome-wide analysis of the poplar genome identified 11 genes belonging to PdPFK and 6 genes belonging to PdPFP. Phylogenetic, gene structure, and motif analyses revealed two main categories of PFK genes: PFK with eleven genes and PFP with six genes. Quantitative PCR (qPCR) analysis demonstrated that all 17 phosphofructokinase genes were induced in various tissues and developmental stages of P. deltoides. PFPs were strongly expressed throughout P. deltoides’ growth and development, notably in the roots, according to the transcript analysis. This genome-wide analysis provides insights into PFK and PFP genes and establishes a foundation for future investigations into the role of genes in P. deltoids. Full article
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