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Hura T, Hura K, Ostrowska A, Gadzinowska J, Urban K, Pawłowska B. The role of invasive plant species in drought resilience in agriculture: the case of sweet briar (Rosa rubiginosa L.). JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:2799-2810. [PMID: 36124695 DOI: 10.1093/jxb/erac377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 09/05/2022] [Indexed: 06/06/2023]
Abstract
Sweet briar (Rosa rubiginosa) belongs to the group of wild roses. Under natural conditions it grows throughout Europe, and was introduced also into the southern hemisphere, where it has efficiently adapted to dry lands. This review focuses on the high adaptation potential of sweet briar to soil drought in the context of global climatic changes, especially considering steppe formation and desertification of agricultural, orchard, and horticultural areas. We provide a comprehensive overview of current knowledge on sweet briar traits associated with drought tolerance and particularly water use efficiency, sugar accumulation, accumulation of CO2 in intercellular spaces, stomatal conductance, gibberellin level, effective electron transport between photosystem II and photosystem I, and protein content. We discuss the genetics and potential applications in plant breeding and suggest future directions of study concerning invasive populations of R. rubiginosa. Finally, we point out that sweet briar can provide new genes for breeding in the context of depleting gene pools of the crop plants.
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Affiliation(s)
- Tomasz Hura
- Polish Academy of Sciences, The Franciszek Górski Institute of Plant Physiology, Kraków, Niezapominajek 21, 30-239 Kraków, Poland
| | - Katarzyna Hura
- Department of Plant Breeding, Physiology and Seed Science, Faculty of Agriculture and Economics, Agricultural University, Podłużna 3, 30-239 Kraków, Poland
| | - Agnieszka Ostrowska
- Polish Academy of Sciences, The Franciszek Górski Institute of Plant Physiology, Kraków, Niezapominajek 21, 30-239 Kraków, Poland
| | - Joanna Gadzinowska
- Polish Academy of Sciences, The Franciszek Górski Institute of Plant Physiology, Kraków, Niezapominajek 21, 30-239 Kraków, Poland
| | - Karolina Urban
- Polish Academy of Sciences, The Franciszek Górski Institute of Plant Physiology, Kraków, Niezapominajek 21, 30-239 Kraków, Poland
| | - Bożena Pawłowska
- Department of Ornamental Plants and Garden Arts, Agricultural University, 29 Listopada 54 Avenue, 31-425 Kraków, Poland
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Chang H, Zhang H, Zhang T, Su L, Qin QM, Li G, Li X, Wang L, Zhao T, Zhao E, Zhao H, Liu Y, Stacey G, Xu D. A Multi-Level Iterative Bi-Clustering Method for Discovering miRNA Co-regulation Network of Abiotic Stress Tolerance in Soybeans. FRONTIERS IN PLANT SCIENCE 2022; 13:860791. [PMID: 35463453 PMCID: PMC9021755 DOI: 10.3389/fpls.2022.860791] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 02/24/2022] [Indexed: 06/14/2023]
Abstract
Although growing evidence shows that microRNA (miRNA) regulates plant growth and development, miRNA regulatory networks in plants are not well understood. Current experimental studies cannot characterize miRNA regulatory networks on a large scale. This information gap provides an excellent opportunity to employ computational methods for global analysis and generate valuable models and hypotheses. To address this opportunity, we collected miRNA-target interactions (MTIs) and used MTIs from Arabidopsis thaliana and Medicago truncatula to predict homologous MTIs in soybeans, resulting in 80,235 soybean MTIs in total. A multi-level iterative bi-clustering method was developed to identify 483 soybean miRNA-target regulatory modules (MTRMs). Furthermore, we collected soybean miRNA expression data and corresponding gene expression data in response to abiotic stresses. By clustering these data, 37 MTRMs related to abiotic stresses were identified, including stress-specific MTRMs and shared MTRMs. These MTRMs have gene ontology (GO) enrichment in resistance response, iron transport, positive growth regulation, etc. Our study predicts soybean MTRMs and miRNA-GO networks under different stresses, and provides miRNA targeting hypotheses for experimental analyses. The method can be applied to other biological processes and other plants to elucidate miRNA co-regulation mechanisms.
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Affiliation(s)
- Haowu Chang
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
- Department of Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States
| | - Hao Zhang
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
- Department of Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States
| | - Tianyue Zhang
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
| | - Lingtao Su
- Department of Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States
- College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Qing-Ming Qin
- College of Plant Sciences and Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Jilin, China
| | - Guihua Li
- College of Plant Sciences and Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Jilin, China
| | - Xueqing Li
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
| | - Li Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
| | - Tianheng Zhao
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
| | - Enshuang Zhao
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
| | - Hengyi Zhao
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
| | - Yuanning Liu
- Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Jilin, China
- Department of Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States
| | - Gary Stacey
- Division of Plant Sciences and Technology, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States
| | - Dong Xu
- Department of Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States
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Biochemical, Physiological, and Molecular Aspects of Ornamental Plants Adaptation to Deficit Irrigation. HORTICULTURAE 2021. [DOI: 10.3390/horticulturae7050107] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
There is increasing concern regarding global warming and its severe impact on the farming sector and food security. Incidences of extreme weather conditions are becoming more and more frequent, posing plants to stressful conditions, such as flooding, drought, heat, or frost etc. Especially for arid lands, there is a tug-of-war between keeping high crop yields and increasing water use efficiency of limited water resources. This difficult task can be achieved through the selection of tolerant water stress species or by increasing the tolerance of sensitive species. In this scenario, it is important to understand the response of plants to water stress. So far, the response of staple foods and vegetable crops to deficit irrigation is well studied. However, there is lack of literature regarding the responses of ornamental plants to water stress conditions. Considering the importance of this ever-growing sector for the agricultural sector, this review aims to reveal the defense mechanisms and the involved morpho-physiological, biochemical, and molecular changes in ornamental plant’s responses to deficit irrigation.
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