Innovative Agricultural Technologies for Sustainable High-quality and Efficient Production of Wheat and Barley

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 2021) | Viewed by 2740

Special Issue Editor


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Guest Editor
Barley Germplasm Center, Institute of Plant Science and Resources, Okayama University, Okayama 7100046, Japan
Interests: barley; crop germplasm; genome diversity; crop domestication and diversification; population genomics; quantitative genetics

Special Issue Information

Dear Colleagues,

Crop species belonging to Triticeae, such as barley and wheat, are cultivated in a globally spread area and known as one of the broadest adaptation crop species. Barley and wheat have evolved to optimize each of the environmental abiotic and biotic conditions by adapting to novel cultivation. Environmental conditions are forecasted to be highly influenced by the global climate change, and the barley and wheat cultivation area could be changed, with diverse profiles of climatic conditions. To achieve sustainable productivity of these species for the next century, uncovering the impacted trait mechanisms due to climate change along with all the cultivation areas and exploring the natural variations in order to breed varieties using “optimum” loci/alleles to overcome each of the upcoming environmental condition are pivotal. Development of technical innovations, such as low-cost sequencing and genome editing technologies, has an indispensable role in uncovering the “optimal” traits and supporting breeding-related research to develop new varieties to realize sustainable agricultural productivity.

This Special Issue will focus on highlighting the exploring knowledge required to develop “optimal” local varieties for all barley and wheat cultivation areas. Topics can include genetic diversity, agronomic trait diversification, genomics, and breeding-related technologies. We welcome reviews or perspectives related to the traits of optimizing for local agriculture and the approaches required to develop “optimal” local varieties.

Dr. Daisuke Saisho
Guest Editor

Manuscript Submission Information

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Keywords

  • barley
  • wheat
  • genetic diversity
  • local adaptation
  • breeding using optimal loci/allele
  • genomics
  • NGS
  • genome editing

Published Papers (1 paper)

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Research

19 pages, 4773 KiB  
Article
Genome-Wide Investigation of Spliceosomal SM/LSM Genes in Wheat (Triticum aestivum L.) and Its Progenitors
by Ruiting Gao, Ning Su, Wenqiu Pan, Qiaoyu Bao, Zhen Li, Xiaojun Nie, Wei Tong and Weining Song
Agronomy 2021, 11(7), 1429; https://doi.org/10.3390/agronomy11071429 - 17 Jul 2021
Viewed by 2105
Abstract
The SSM/SLSM (spliceosomal Smith (SM)/SM-like (LSM)) genes are the central components of the spliceosome in eukaryotes, which play an important role in regulating RNA splicing, participating in diverse biological processes. Although it has been detected in Arabidopsis and rice etc. plants, the members [...] Read more.
The SSM/SLSM (spliceosomal Smith (SM)/SM-like (LSM)) genes are the central components of the spliceosome in eukaryotes, which play an important role in regulating RNA splicing, participating in diverse biological processes. Although it has been detected in Arabidopsis and rice etc. plants, the members and significance of the SSM/SLSM gene family in wheat are still not reported. In this study, we identified the SSM/SLSM genes in wheat and its progenitors at genome-scale, where 57 SSM/SLSM genes were identified in wheat, together with 41, 17and 19 found in Triticum dicoccoides, Triticum urartu, and Aegilops tauschii. Furthermore, their phylogenetic relationship, gene structures, conserved motifs, and cis-regulatory elements were systematically analyzed. By synteny analysis, good collinearity of SSM/SLSM genes was found among bread wheat and its progenitors’ genomes, and the distribution of SMD2 genes in wheat chromosome 5A, 4B and 4D located in the 4AL-5AL-7BS chromosome model, due to the translocation. Then, the positively selected genes were further investigated based on the non-synonymous to synonymous (dN/dS) analysis of the orthologous pairs. Finally, the expression profiles of the SSM/SLSM genes were detected using RNA-seq datasets, and eight stress-responsive candidate genes were selected to validate their expression through qPCR (real-time quantitative polymerase chain reaction). According to the co-expression network analysis, the correlation between the LSM7-7A gene and related genes was illustrated through Gene Ontology (GO) enrichment analysis. Furthermore, the LSM7-7A gene was related to the Arabidopsis homologous salt tolerance gene RCY1. This investigation systematically identified the complete candidates of SSM/SLSM genes and their characters in wheat and its progenitors, and provided clues to a better understanding of their contribution during the wheat polyploidy process. Full article
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