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Hallahan BF, Quiroz LF, Brychkova G, McKeown PC, Spillane C. Accession-specific parent-of-origin dependent and independent genome dosage effects on salt tolerance in Arabidopsis thaliana. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231766. [PMID: 38721127 PMCID: PMC11076124 DOI: 10.1098/rsos.231766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 02/21/2024] [Accepted: 03/14/2024] [Indexed: 07/31/2024]
Abstract
Improving the salt stress tolerance of crops is an important goal in plant breeding. Changes in the number of chromosome sets (i.e. ploidy level) cause genome dosage effects which can result in enhanced or novel traits. Maternal inheritance versus paternal inheritance of the same chromosome sets can have differential epigenetic effects on traits of F1 offspring. Hence, genome dosage effects can be parent-of-origin independent or dependent. The model plant Arabidopsis thaliana displays both genome dosage and parent-of-origin effects on plant growth under non-stress conditions. Using an isogenic ploidy series of diploid, triploid and tetraploid lines, we investigate the extent of genome dosage effects and their parent-of-origin dependency on in vitro salt stress tolerance of seedlings across 10 different A. thaliana accessions (genetic backgrounds). We detected genome dosage effects on salt stress tolerance for tetraploid lines in five accessions. In addition, through the generation of isogenic reciprocal F1 triploid lines, both parent-of-origin dependent and independent genome dosage effects on salt stress tolerance were detected. Thus, our results indicate not only that genome dosage balance effects can have significant impacts on abiotic stress tolerance in A. thaliana but also that parent-of-origin specific genome dosage effects can affect salt stress tolerance in plants.
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Affiliation(s)
- Brendan F. Hallahan
- Agriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, H91 REW4 , Ireland
| | - Luis Felipe Quiroz
- Agriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, H91 REW4 , Ireland
| | - Galina Brychkova
- Agriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, H91 REW4 , Ireland
| | - Peter C. McKeown
- Agriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, H91 REW4 , Ireland
| | - Charles Spillane
- Agriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, H91 REW4 , Ireland
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Yang X, Zhang M, Xi D, Yin T, Zhu L, Yang X, Zhou X, Zhang H, Liu X. Genome-wide identification and expression analysis of the MADS gene family in sweet orange ( Citrus sinensis) infested with pathogenic bacteria. PeerJ 2024; 12:e17001. [PMID: 38436028 PMCID: PMC10909352 DOI: 10.7717/peerj.17001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 02/05/2024] [Indexed: 03/05/2024] Open
Abstract
The risk of pathogenic bacterial invasion in plantations has increased dramatically due to high environmental climate change and has seriously affected sweet orange fruit quality. MADS genes allow plants to develop increased resistance, but functional genes for resistance associated with pathogen invasion have rarely been reported. MADS gene expression profiles were analyzed in sweet orange leaves and fruits infested with Lecanicillium psalliotae and Penicillium digitatum, respectively. Eighty-two MADS genes were identified from the sweet orange genome, and they were classified into five prime subfamilies concerning the Arabidopsis MADS gene family, of which the MIKC subfamily could be subdivided into 13 minor subfamilies. Protein structure analysis showed that more than 93% of the MADS protein sequences of the same subfamily between sweet orange and Arabidopsis were very similar in tertiary structure, with only CsMADS8 and AG showing significant differences. The variability of MADS genes protein structures between sweet orange and Arabidopsis subgroups was less than the variabilities of protein structures within species. Chromosomal localization and covariance analysis showed that these genes were unevenly distributed on nine chromosomes, with the most genes on chromosome 9 and the least on chromosome 2, with 36 and two, respectively. Four pairs of tandem and 28 fragmented duplicated genes in the 82 MADS gene sequences were found in sweet oranges. GO (Gene Ontology) functional enrichment and expression pattern analysis showed that the functional gene CsMADS46 was strongly downregulated of sweet orange in response to biotic stress adversity. It is also the first report that plants' MADS genes are involved in the biotic stress responses of sweet oranges. For the first time, L. psalliotae was experimentally confirmed to be the causal agent of sweet orange leaf spot disease, which provides a reference for the research and control of pathogenic L. psalliotae.
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Affiliation(s)
- Xiuyao Yang
- Southwest Forestry University, Kunming, China
| | | | - Dengxian Xi
- Southwest Forestry University, Kunming, China
| | - Tuo Yin
- Southwest Forestry University, Kunming, China
| | - Ling Zhu
- Southwest Forestry University, Kunming, China
| | - Xiujia Yang
- Southwest Forestry University, Kunming, China
| | - Xianyan Zhou
- Institute of Tropical and Subtropical Economic Crops, Institute of Tropical and Subtropical Economic Crops, Yunnan Academy of Agricultural Sciences, Ruili, China
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Chen J, Potlapalli R, Quan H, Chen L, Xie Y, Pouriyeh S, Sakib N, Liu L, Xie Y. Exploring DNA Damage and Repair Mechanisms: A Review with Computational Insights. BIOTECH 2024; 13:3. [PMID: 38247733 PMCID: PMC10801582 DOI: 10.3390/biotech13010003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 11/21/2023] [Accepted: 12/29/2023] [Indexed: 01/23/2024] Open
Abstract
DNA damage is a critical factor contributing to genetic alterations, directly affecting human health, including developing diseases such as cancer and age-related disorders. DNA repair mechanisms play a pivotal role in safeguarding genetic integrity and preventing the onset of these ailments. Over the past decade, substantial progress and pivotal discoveries have been achieved in DNA damage and repair. This comprehensive review paper consolidates research efforts, focusing on DNA repair mechanisms, computational research methods, and associated databases. Our work is a valuable resource for scientists and researchers engaged in computational DNA research, offering the latest insights into DNA-related proteins, diseases, and cutting-edge methodologies. The review addresses key questions, including the major types of DNA damage, common DNA repair mechanisms, the availability of reliable databases for DNA damage and associated diseases, and the predominant computational research methods for enzymes involved in DNA damage and repair.
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Affiliation(s)
- Jiawei Chen
- College of Letter and Science, University of California, Berkeley, CA 94720, USA;
| | - Ravi Potlapalli
- College of Computing and Software Engineering, Kennesaw State University, Marietta, GA 30060, USA; (L.C.); (R.P.); (Y.X.); (S.P.); (N.S.)
| | - Heng Quan
- Department of Civil and Urban Engineering, New York University, New York, NY 11201, USA;
| | - Lingtao Chen
- College of Computing and Software Engineering, Kennesaw State University, Marietta, GA 30060, USA; (L.C.); (R.P.); (Y.X.); (S.P.); (N.S.)
| | - Ying Xie
- College of Computing and Software Engineering, Kennesaw State University, Marietta, GA 30060, USA; (L.C.); (R.P.); (Y.X.); (S.P.); (N.S.)
| | - Seyedamin Pouriyeh
- College of Computing and Software Engineering, Kennesaw State University, Marietta, GA 30060, USA; (L.C.); (R.P.); (Y.X.); (S.P.); (N.S.)
| | - Nazmus Sakib
- College of Computing and Software Engineering, Kennesaw State University, Marietta, GA 30060, USA; (L.C.); (R.P.); (Y.X.); (S.P.); (N.S.)
| | - Lichao Liu
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Palo Alto, CA 94304, USA;
| | - Yixin Xie
- College of Computing and Software Engineering, Kennesaw State University, Marietta, GA 30060, USA; (L.C.); (R.P.); (Y.X.); (S.P.); (N.S.)
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