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Agronomy
Special Issues
Dissecting Genetic Basis of Crop Agronomic Traits through Bioinformatics
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Dissecting Genetic Basis of Crop Agronomic Traits through Bioinformatics

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

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 1446

Special Issue Editor

Dr. Jing Li

E-Mail Website
Guest Editor
The National Engineering Laboratory for Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
Interests: quantitative genetics and population genomics

Special Issue Information

Dear Colleagues,

Understanding the genetic and genomic basis of agronomic traits is important for gene discovery and the improvement of breeding germplasms, but much remains a mystery in spite of significant population genetics. With the rapid development of phenomics, genomics, etc., integrating information will be a big challenge, providing new perspectives for understanding complex traits in crops and accelerating molecular breeding. The goal of this Special Issue is to collect the latest advances in understanding the genetic basis in crops derived from the development or application of bioinformatics. We particularly encourage research focused on, but not limited to, gene diversity, gene–environment interplay, and integrated information using multiple methods, multiple populations, or multi-omics.

Dr. Jing Li
Guest Editor

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

  • genetic basis
  • agronomic traits
  • bioinformatics

Published Papers (1 paper)

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Research

19 pages, 23266 KiB  
Article
Genome-Wide Identification and Expression of the GRAS Gene Family in Oat (Avena sativa L.)
by Rui Wu, Wenhui Liu, Kaiqiang Liu, Guoling Liang and Yue Wang
Agronomy 2023, 13(7), 1807; https://doi.org/10.3390/agronomy13071807 - 7 Jul 2023
Viewed by 1264
Abstract
The GRAS protein family is involved in plant growth and development, plant disease resistance, and abiotic stress response. Although the GRAS protein family has been systematically studied and reported in many plants, it has not been reported in oat, an excellent foodstuff crop [...] Read more.
The GRAS protein family is involved in plant growth and development, plant disease resistance, and abiotic stress response. Although the GRAS protein family has been systematically studied and reported in many plants, it has not been reported in oat, an excellent foodstuff crop of Gramineae. We identified 90 AsGRAS genes and all of the AsGRAS genes were randomly distributed on 21 chromosomes with 6 tandem duplicated genes and 49 pairs of segmental duplications, which may be the main reason for the expansion of the GRAS gene family. According to the phylogenetic tree, 90 AsGRASs were classified into 10 distinct subfamilies. Gene structure revealed introns varying from zero to seven, and all genes have conserved motifs and GRAS structure domain. Protein–protein interaction and miRNA prediction analysis showed that AsGRAS proteins mainly interacted with GA signalling, cell division, etc., and that the AsGRAS genes were targeted by miRNA171. RNA-seq and qRT–PCR data showed that GRAS genes were expressed at different growth and developmental stages and under different abiotic stresses in oat, indicating the potential role of GRAS genes in promoting growth and stress tolerance in oat. Overall, our evolutionary and expression analysis of AsGRAS genes contributes to the elucidation of a theoretical basis for the GRAS gene family. Moreover, it helped reveal gene function and laid the foundation for future agricultural improvement of oats based on functional properties. Full article
(This article belongs to the Special Issue Dissecting Genetic Basis of Crop Agronomic Traits through Bioinformatics)
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