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Genes and Genomics of Plants Under Abiotic Stresses
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Genes and Genomics of Plants Under Abiotic Stresses

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Plant Genetics and Genomics".

Deadline for manuscript submissions: 25 December 2024 | Viewed by 1245

Special Issue Editor

Prof. Dr. Yong-Jun Shu

E-Mail Website
Guest Editor
College of Life Science and Technology, Harbin Normal University, Harbin, China
Interests: genomics; transcriptomics; proteomics; metabolomics; abiotic stress; abiotic tolerance; high-throughput sequencing

Special Issue Information

Dear Colleagues,

High-throughput sequencing technologies have promoted the development of life science research by generating a large amount of biological data for better understanding biological mechanisms. In plant research, omics methods have been broadly integrated to explore plant growth and development phenomena, especially in plant adaption to abiotic stress. As sessile organisms, plants are constantly challenged by various abiotic stressors, including cold, drought, salt, water logging, etc.; these stresses can decrease plant growth and development and even threatened plant survival. Therefore, plants have adopted numerous biological pathways to confer these stresses. Recently, with the development of HTS technologies, many biological data, such as genome sequences, transcriptome sequences, proteomics data, and metabolomics data, have been obtained, which are helpful for demonstrating the molecular mechanisms of plant responses to various abiotic stressors and tolerance from genotype to phenotype.

This Special Issue is dedicated to exploring the molecular mechanisms of plant responses to various abiotic stress, including cold, drought, salt, or other abiotic stresses, even complex abiotic stress. Research improving our understanding of plant adaption to abiotic stresses is welcome, particularly studies involving state-of-the-art high-throughput experiments to investigate plant genomics to abiotic stresses.

Prof. Dr. Yong-Jun Shu
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. Genes 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

  • genomics
  • transcriptomics
  • proteomics
  • metabolomics
  • abiotic stress
  • abiotic tolerance
  • high-throughput sequencing

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Published Papers (2 papers)

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Research

14 pages, 3551 KiB  
Article
Genome-Wide Identification and Expression Analysis of SNAP Gene Family in Wheat
by Xiaohan Zhang, Yanan Yu, Yumeng Sun, Yan Bai, Yongjun Shu and Changhong Guo
Genes 2024, 15(10), 1311; https://doi.org/10.3390/genes15101311 - 11 Oct 2024
Viewed by 429
Abstract
Background/Objectives: The SNAP gene family is a class of proteins containing a SNAP domain, which plays a crucial role in the growth and development of plants. Methods: Bioinformatics methods were used to systematically analyze the gene structure, phylogenetic evolution, chromosomal distribution, [...] Read more.
Background/Objectives: The SNAP gene family is a class of proteins containing a SNAP domain, which plays a crucial role in the growth and development of plants. Methods: Bioinformatics methods were used to systematically analyze the gene structure, phylogenetic evolution, chromosomal distribution, physicochemical properties, conserved motifs, and cis-acting elements of the TaSNAP family members. Results: The TaSNAP family comprises members that encode proteins ranging between 120 and 276 amino acids, with isoelectric points spanning from 4.87 to 7.92. Phylogenetic analysis elucidated the categorization of the eight TaSNAP into three distinct subfamilies, wherein members of the same subfamily display marked similarities in their gene structures. Chromosomal mapping revealed the distribution of TaSNAP family members across chromosomes 2A, 2B, 2D, 7A, 7B, and 7D. Utilizing the Plant CARE tool, we identified ten elements linked to plant hormones and four associated with stress responses. Expression analysis via qRT-PCR was performed to assess the levels of the eight TaSNAP genes in various tissues and under diverse abiotic stress conditions. The results indicated heightened expression of most genes in roots compared to spikes. Notably, under ABA stress, the majority of genes exhibited upregulation, whereas certain genes were downregulated under PEG stress, implying a substantial role for SNAP protein in wheat growth and development. Conclusions: This study conducted a comprehensive bioinformatics analysis of each member of the wheat SNAP family, laying a crucial foundation for future functional investigations. Full article
(This article belongs to the Special Issue Genes and Genomics of Plants Under Abiotic Stresses)
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18 pages, 2977 KiB  
Article
Silicon Modifies Photosynthesis Efficiency and hsp Gene Expression in European Beech (Fagus sylvatica) Seedlings Exposed to Drought Stress
by Justyna Nowakowska, Monika Dang, Piotr Kiełtyk, Marzena Niemczyk, Tadeusz Malewski, Wiesław Szulc, Beata Rutkowska, Piotr Borowik and Tomasz Oszako
Genes 2024, 15(9), 1233; https://doi.org/10.3390/genes15091233 - 21 Sep 2024
Viewed by 590
Abstract
Background: Climate change is leading to severe and long-term droughts in European forest ecosystems. can have profound effects on various physiological processes, including photosynthesis, gene expression patterns, and nutrient uptake at the developmental stage of young trees. Objectives: Our study aimed to test [...] Read more.
Background: Climate change is leading to severe and long-term droughts in European forest ecosystems. can have profound effects on various physiological processes, including photosynthesis, gene expression patterns, and nutrient uptake at the developmental stage of young trees. Objectives: Our study aimed to test the hypothesis that the application of silica (SiO2) influences photosynthetic efficiency and gene expression in 1- to 2-year-old Fagus sylvatica (L.) seedlings. Additionally, we aimed to assess whether silicon application positively influences the structural properties of leaves and roots. To determine whether the plant physiological responses are genotype-specific, seedlings of four geographically different provenances were subjected to a one-year evaluation under greenhouse conditions. Methods: We used the Kruskal–Wallis test followed by Wilcoxon’s test to evaluate the differences in silicon content and ANOVA followed by Tukey’s test to evaluate the physiological responses of seedlings depending on treatment and provenance. Results: Our results showed a significantly higher Si content in the roots compared with the leaves, regardless of provenance and treatment. The most significant differences in photosynthetic performance were found in trees exposed to Si treatment, but the physiological responses were generally nuanced and provenance-dependent. Expression of hsp70 and hsp90 was also increased in leaf tissues of all provenances. These results provide practical insights that Si can improve the overall health and resilience of beech seedlings in nursery and forest ecosystems, with possible differences in the beneficial role of silicon application arising from the large differences in wild populations of forest tree species. Full article
(This article belongs to the Special Issue Genes and Genomics of Plants Under Abiotic Stresses)
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