Analysis of Complex Traits and Molecular Selection in Annual Crops—2nd Edition

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".

Deadline for manuscript submissions: 10 October 2024 | Viewed by 157

Special Issue Editors

College of Biological and Food Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
Interests: genomics; domestication; population genetics; QTL mapping; genome-wide association study; complex traits
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Guest Editor
State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
Interests: molecular mechanisms; regulatory network; QTL mapping; genome-wide association study
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the first edition of this Special Issue, "Analysis of Complex Traits and Molecular Selection in Annual Crops", in Agronomy, the Editorial Office would like to launch a second edition. The subject, the editorial team, and the submission process will remain the same.

The agronomic traits of crops are some of the most pressing issues in agricultural production. Analyses of complex agronomic traits, such as crop yield, quality and stress resistance, molecular selection, and the construction as well as mining of complex relationship networks between crop genes and agronomic traits, represent the frontiers of and hot issues in crop research. The complex agronomic traits of crops are controlled by the effects of multiple genes, environments, gene–gene interactions, and gene–environment interactions. For a long time, there has been a lack of effective research that analyzes complex agronomic traits. With the development of high-throughput sequencing technology, we can comprehensively and systematically understand the compositions of complex agronomic traits and molecular selection breeding.

In this Special Issue, we seek integrative studies that highlight the genetic basis of complex agronomic traits in annual crops for molecular selection, including (but not limited to) the development of new techniques and methods in addition to the integration of multiple omics data for the analysis of complex agronomic traits, as well as reviews that offer original perspectives on the analysis of complex traits and molecular selection in annual crops.

Dr. Chao Shen
Dr. Hantao Wang
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. Agronomy 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 2600 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

  • complex traits
  • QTL mapping
  • molecular selection
  • genome-wide association study
  • linkage mapping
  • genomics
  • population genetics
  • domestication and improvement

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Published Papers (1 paper)

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Research

16 pages, 18691 KiB  
Article
Comprehensive Genome-Wide Investigation and Transcriptional Regulation of the DHHC Gene Family in Cotton Seed and Fiber Development
by Saimire Silaiyiman, Qinyue Zheng, Yutao Wang, Lejun Ouyang, Zhishan Guo, Jieli Yu, Rong Chen, Rui Peng and Chao Shen
Agronomy 2024, 14(6), 1214; https://doi.org/10.3390/agronomy14061214 - 4 Jun 2024
Abstract
Protein palmitoylation, the most common and the only reversible post-translational lipid modification following protein translation, plays a pivotal role in the biochemical and physiological processes of both animals and plants. DHHC proteins, enriched with DHHC (Asp-His-His-Cys) domains, serve as catalyst for protein palmitoylation. [...] Read more.
Protein palmitoylation, the most common and the only reversible post-translational lipid modification following protein translation, plays a pivotal role in the biochemical and physiological processes of both animals and plants. DHHC proteins, enriched with DHHC (Asp-His-His-Cys) domains, serve as catalyst for protein palmitoylation. However, research on DHHC in cotton remains scarce. This study conducted a systematic characterization and bioinformatics analysis on G. arboreum, G. raimondii, G. hirsutum, and G. barbadense, detecting 38, 37, 74, and 74 DHHC genes, respectively. Phylogenetic analysis categorized the DHHC gene family into six subgroups, consistent with previous evolutionary studies in Arabidopsis and rice. A further examination of protein structure revealed a correlation between genetic relatedness, structural similarity, and functional identity. Cis-element analysis identified elements predominantly associated with light response, stress, growth and development, and plant hormones. The integration of cotton seed development transcriptome, tissue expression pattern analysis, and population transcriptome data collectively suggests that Ghir_A05G027650 and Ghir_D05G027670 are promising candidate genes influencing seed development in upland cotton. Conversely, Gbar_A04G010750 and Gbar_A12G020520 emerge as potential candidates affecting both seed and fiber development in sea island cotton. These findings lay down a theoretical foundation for delving into the functional diversity of DHHC genes in cotton, thereby paving the way for the development of new breeding strategies and the optimization of cotton seed and fiber production, ultimately contributing to improved crop yield and quality. Full article
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