1
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Miyokawa R, Sasaki E. The role of FIONA1 in alternative splicing and its effects on flowering regulation in Arabidopsis thaliana. THE NEW PHYTOLOGIST 2024. [PMID: 39056273 DOI: 10.1111/nph.19995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 07/03/2024] [Indexed: 07/28/2024]
Affiliation(s)
- Ryo Miyokawa
- Faculty of Science, Kyushu University, 744, Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
| | - Eriko Sasaki
- Faculty of Science, Kyushu University, 744, Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
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2
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Zhai D, Zhang LY, Li LZ, Xu ZG, Liu XL, Shang GD, Zhao B, Gao J, Wang FX, Wang JW. Reciprocal conversion between annual and polycarpic perennial flowering behavior in the Brassicaceae. Cell 2024; 187:3319-3337.e18. [PMID: 38810645 DOI: 10.1016/j.cell.2024.04.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/22/2024] [Accepted: 04/30/2024] [Indexed: 05/31/2024]
Abstract
The development of perennial crops holds great promise for sustainable agriculture and food security. However, the evolution of the transition between perenniality and annuality is poorly understood. Here, using two Brassicaceae species, Crucihimalaya himalaica and Erysimum nevadense, as polycarpic perennial models, we reveal that the transition from polycarpic perennial to biennial and annual flowering behavior is a continuum determined by the dosage of three closely related MADS-box genes. Diversification of the expression patterns, functional strengths, and combinations of these genes endows species with the potential to adopt various life-history strategies. Remarkably, we find that a single gene among these three is sufficient to convert winter-annual or annual Brassicaceae plants into polycarpic perennial flowering plants. Our work delineates a genetic basis for the evolution of diverse life-history strategies in plants and lays the groundwork for the generation of diverse perennial Brassicaceae crops in the future.
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Affiliation(s)
- Dong Zhai
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; University of Chinese Academy of Sciences, Shanghai 200032, China
| | - Lu-Yi Zhang
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; University of Chinese Academy of Sciences, Shanghai 200032, China
| | - Ling-Zi Li
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Zhou-Geng Xu
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Xiao-Li Liu
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Guan-Dong Shang
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; University of Chinese Academy of Sciences, Shanghai 200032, China
| | - Bo Zhao
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Jian Gao
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Fu-Xiang Wang
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Jia-Wei Wang
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Key Laboratory of Plant Carbon Capture, CAS, Shanghai 200032, China; New Cornerstone Science Laboratory, Shanghai 200032, China.
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3
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Bastias CC, Estarague A, Vile D, Gaignon E, Lee CR, Exposito-Alonso M, Violle C, Vasseur F. Ecological trade-offs drive phenotypic and genetic differentiation of Arabidopsis thaliana in Europe. Nat Commun 2024; 15:5185. [PMID: 38890286 PMCID: PMC11189578 DOI: 10.1038/s41467-024-49267-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/23/2024] [Indexed: 06/20/2024] Open
Abstract
Plant diversity is shaped by trade-offs between traits related to competitive ability, propagule dispersal, and stress resistance. However, we still lack a clear understanding of how these trade-offs influence species distribution and population dynamics. In Arabidopsis thaliana, recent genetic analyses revealed a group of cosmopolitan genotypes that successfully recolonized Europe from its center after the last glaciation, excluding older (relict) lineages from the distribution except for their north and south margins. Here, we tested the hypothesis that cosmopolitans expanded due to higher colonization ability, while relicts persisted at the margins due to higher tolerance to competition and/or stress. We compared the phenotypic and genetic differentiation between 71 European genotypes originating from the center, and the south and north margins. We showed that a trade-off between plant fecundity and seed mass shapes the differentiation of A. thaliana in Europe, suggesting that the success of the cosmopolitan groups could be explained by their high dispersal ability. However, at both north and south margins, we found evidence of selection for alleles conferring low dispersal but highly competitive and stress-resistance abilities. This study sheds light on the role of ecological trade-offs as evolutionary drivers of the distribution and dynamics of plant populations.
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Affiliation(s)
- Cristina C Bastias
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.
- Área de Ecología, Facultad de Ciencias, Universidad de Córdoba, Campus de Rabanales, Córdoba, Spain.
| | - Aurélien Estarague
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
- LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, Montpellier, France
| | - Denis Vile
- LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, Montpellier, France
| | - Elza Gaignon
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Cheng-Ruei Lee
- Institute of Ecology and Evolutionary Biology & Institute of Plant Biology, National Taiwan University, Taipei, Taiwan
| | | | - Cyrille Violle
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
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4
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Lin RC, Ferreira BT, Yuan YW. The molecular basis of phenotypic evolution: beyond the usual suspects. Trends Genet 2024:S0168-9525(24)00097-0. [PMID: 38704304 DOI: 10.1016/j.tig.2024.04.010] [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: 02/09/2024] [Revised: 04/15/2024] [Accepted: 04/17/2024] [Indexed: 05/06/2024]
Abstract
It has been well documented that mutations in coding DNA or cis-regulatory elements underlie natural phenotypic variation in many organisms. However, the development of sophisticated functional tools in recent years in a wide range of traditionally non-model systems have revealed many 'unusual suspects' in the molecular bases of phenotypic evolution, including upstream open reading frames (uORFs), cryptic splice sites, and small RNAs. Furthermore, large-scale genome sequencing, especially long-read sequencing, has identified a cornucopia of structural variation underlying phenotypic divergence and elucidated the composition of supergenes that control complex multi-trait polymorphisms. In this review article we highlight recent studies that demonstrate this great diversity of molecular mechanisms producing adaptive genetic variation and the panoply of evolutionary paths leading to the 'grandeur of life'.
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Affiliation(s)
- Rong-Chien Lin
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Bianca T Ferreira
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
| | - Yao-Wu Yuan
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA.
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5
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Liu C, He S, Chen J, Wang M, Li Z, Wei L, Chen Y, Du M, Liu D, Li C, An C, Bhadauria V, Lai J, Zhu W. A dual-subcellular localized β-glucosidase confers pathogen and insect resistance without a yield penalty in maize. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:1017-1032. [PMID: 38012865 PMCID: PMC10955503 DOI: 10.1111/pbi.14242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/23/2023] [Accepted: 11/11/2023] [Indexed: 11/29/2023]
Abstract
Maize is one of the most important crops for food, cattle feed and energy production. However, maize is frequently attacked by various pathogens and pests, which pose a significant threat to maize yield and quality. Identification of quantitative trait loci and genes for resistance to pests will provide the basis for resistance breeding in maize. Here, a β-glucosidase ZmBGLU17 was identified as a resistance gene against Pythium aphanidermatum, one of the causal agents of corn stalk rot, by genome-wide association analysis. Genetic analysis showed that both structural variations at the promoter and a single nucleotide polymorphism at the fifth intron distinguish the two ZmBGLU17 alleles. The causative polymorphism near the GT-AG splice site activates cryptic alternative splicing and intron retention of ZmBGLU17 mRNA, leading to the downregulation of functional ZmBGLU17 transcripts. ZmBGLU17 localizes in both the extracellular matrix and vacuole and contribute to the accumulation of two defence metabolites lignin and DIMBOA. Silencing of ZmBGLU17 reduces maize resistance against P. aphanidermatum, while overexpression significantly enhances resistance of maize against both the oomycete pathogen P. aphanidermatum and the Asian corn borer Ostrinia furnacalis. Notably, ZmBGLU17 overexpression lines exhibited normal growth and yield phenotype in the field. Taken together, our findings reveal that the apoplastic and vacuolar localized ZmBGLU17 confers resistance to both pathogens and insect pests in maize without a yield penalty, by fine-tuning the accumulation of lignin and DIMBOA.
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Affiliation(s)
- Chuang Liu
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Shengfeng He
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Junbin Chen
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Mingyu Wang
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Zhenju Li
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Luyang Wei
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Yan Chen
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Meida Du
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Dandan Liu
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Cai Li
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Chunju An
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
- State Key Laboratory of Maize Bio‐breedingChina Agricultural UniversityBeijingChina
| | - Vijai Bhadauria
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
| | - Jinsheng Lai
- State Key Laboratory of Maize Bio‐breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Wangsheng Zhu
- China Key Laboratory of Pest Monitoring and Green Management, MOA, and College of Plant ProtectionChina Agricultural UniversityBeijingChina
- State Key Laboratory of Maize Bio‐breedingChina Agricultural UniversityBeijingChina
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6
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Chow CN, Yang CW, Wu NY, Wang HT, Tseng KC, Chiu YH, Lee TY, Chang WC. PlantPAN 4.0: updated database for identifying conserved non-coding sequences and exploring dynamic transcriptional regulation in plant promoters. Nucleic Acids Res 2024; 52:D1569-D1578. [PMID: 37897338 PMCID: PMC10767843 DOI: 10.1093/nar/gkad945] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/07/2023] [Accepted: 10/12/2023] [Indexed: 10/30/2023] Open
Abstract
PlantPAN 4.0 (http://PlantPAN.itps.ncku.edu.tw/) is an integrative resource for constructing transcriptional regulatory networks for diverse plant species. In this release, the gene annotation and promoter sequences were expanded to cover 115 species. PlantPAN 4.0 can help users characterize the evolutionary differences and similarities among cis-regulatory elements; furthermore, this system can now help in identification of conserved non-coding sequences among homologous genes. The updated transcription factor binding site repository contains 3428 nonredundant matrices for 18305 transcription factors; this expansion helps in exploration of combinational and nucleotide variants of cis-regulatory elements in conserved non-coding sequences. Additionally, the genomic landscapes of regulatory factors were manually updated, and ChIP-seq data sets derived from a single-cell green alga (Chlamydomonas reinhardtii) were added. Furthermore, the statistical review and graphical analysis components were improved to offer intelligible information through ChIP-seq data analysis. These improvements included easy-to-read experimental condition clusters, searchable gene-centered interfaces for the identification of promoter regions' binding preferences by considering experimental condition clusters and peak visualization for all regulatory factors, and the 20 most significantly enriched gene ontology functions for regulatory factors. Thus, PlantPAN 4.0 can effectively reconstruct gene regulatory networks and help compare genomic cis-regulatory elements across plant species and experiments.
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Affiliation(s)
- Chi-Nga Chow
- Institute of Tropical Plant Sciences and Microbiology, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan
- School of Molecular Sciences, Arizona State University, Tempe 85281, USA
| | - Chien-Wen Yang
- Institute of Tropical Plant Sciences and Microbiology, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan
| | - Nai-Yun Wu
- Institute of Tropical Plant Sciences and Microbiology, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan
| | - Hung-Teng Wang
- Institute of Tropical Plant Sciences and Microbiology, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan
| | - Kuan-Chieh Tseng
- Department of Life Sciences, National Cheng Kung University, Tainan 701, Taiwan
| | - Yu-Hsuan Chiu
- Graduate Program in Translational Agricultural Sciences, National Cheng Kung University and Academia Sinica, Tainan 701, Taiwan
| | - Tzong-Yi Lee
- Department of Biological Science & Technology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
| | - Wen-Chi Chang
- Institute of Tropical Plant Sciences and Microbiology, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan
- Department of Life Sciences, National Cheng Kung University, Tainan 701, Taiwan
- Graduate Program in Translational Agricultural Sciences, National Cheng Kung University and Academia Sinica, Tainan 701, Taiwan
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7
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Guo X, Liang R, Lou S, Hou J, Chen L, Liang X, Feng X, Yao Y, Liu J, Liu H. Natural variation in the SVP contributes to the pleiotropic adaption of Arabidopsis thaliana across contrasted habitats. J Genet Genomics 2023; 50:993-1003. [PMID: 37633338 DOI: 10.1016/j.jgg.2023.08.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/13/2023] [Accepted: 08/15/2023] [Indexed: 08/28/2023]
Abstract
Coordinated plant adaptation involves the interplay of multiple traits driven by habitat-specific selection pressures. Pleiotropic effects, wherein genetic variants of a single gene control multiple traits, can expedite such adaptations. Until present, only a limited number of genes have been reported to exhibit pleiotropy. Here, we create a recombinant inbred line (RIL) population derived from two Arabidopsis thaliana (A. thaliana) ecotypes originating from divergent habitats. Using this RIL population, we identify an allelic variation in a MADS-box transcription factor, SHORT VEGETATIVE PHASE (SVP), which exerts a pleiotropic effect on leaf size and drought-versus-humidity tolerance. Further investigation reveals that a natural null variant of the SVP protein disrupts its normal regulatory interactions with target genes, including GRF3, CYP707A1/3, and AtBG1, leading to increased leaf size, enhanced tolerance to humid conditions, and changes in flowering time of humid conditions in A. thaliana. Remarkably, polymorphic variations in this gene have been traced back to early A. thaliana populations, providing a genetic foundation and plasticity for subsequent colonization of diverse habitats by influencing multiple traits. These findings advance our understanding of how plants rapidly adapt to changing environments by virtue of the pleiotropic effects of individual genes on multiple trait alterations.
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Affiliation(s)
- Xiang Guo
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Ruyun Liang
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Shangling Lou
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Jing Hou
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Liyang Chen
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Xin Liang
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Xiaoqin Feng
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Yingjun Yao
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Jianquan Liu
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China.
| | - Huanhuan Liu
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China.
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8
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Xu D, Tang Q, Xu P, Schäffner AR, Leister D, Kleine T. Response of the organellar and nuclear (post)transcriptomes of Arabidopsis to drought. FRONTIERS IN PLANT SCIENCE 2023; 14:1220928. [PMID: 37528975 PMCID: PMC10387551 DOI: 10.3389/fpls.2023.1220928] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 06/28/2023] [Indexed: 08/03/2023]
Abstract
Plants have evolved sophisticated mechanisms to cope with drought, which involve massive changes in nuclear gene expression. However, little is known about the roles of post-transcriptional processing of nuclear or organellar transcripts and how meaningful these changes are. To address these issues, we used RNA-sequencing after ribosomal RNA depletion to monitor (post)transcriptional changes during different times of drought exposure in Arabidopsis Col-0. Concerning the changes detected in the organellar transcriptomes, chloroplast transcript levels were globally reduced, editing efficiency dropped, but splicing was not affected. Mitochondrial transcripts were slightly elevated, while editing and splicing were unchanged. Conversely, alternative splicing (AS) affected nearly 1,500 genes (9% of expressed nuclear genes). Of these, 42% were regulated solely at the level of AS, representing transcripts that would have gone unnoticed in a microarray-based approach. Moreover, we identified 927 isoform switching events. We provide a table of the most interesting candidates, and as proof of principle, increased drought tolerance of the carbonic anhydrase ca1 and ca2 mutants is shown. In addition, altering the relative contributions of the spliced isoforms could increase drought resistance. For example, our data suggest that the accumulation of a nonfunctional FLM (FLOWERING LOCUS M) isoform and not the ratio of FLM-ß and -δ isoforms may be responsible for the phenotype of early flowering under long-day drought conditions. In sum, our data show that AS enhances proteome diversity to counteract drought stress and represent a valuable resource that will facilitate the development of new strategies to improve plant performance under drought.
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Affiliation(s)
- Duorong Xu
- Plant Molecular Biology, Faculty of Biology, Ludwig-Maximilians-University Munich, Planegg-Martinsried, Germany
| | - Qian Tang
- Plant Molecular Biology, Faculty of Biology, Ludwig-Maximilians-University Munich, Planegg-Martinsried, Germany
| | - Ping Xu
- Department of Environmental Sciences, Institute of Biochemical Plant Pathology, Helmholtz Zentrum München, München, Germany
| | - Anton R. Schäffner
- Department of Environmental Sciences, Institute of Biochemical Plant Pathology, Helmholtz Zentrum München, München, Germany
| | - Dario Leister
- Plant Molecular Biology, Faculty of Biology, Ludwig-Maximilians-University Munich, Planegg-Martinsried, Germany
| | - Tatjana Kleine
- Plant Molecular Biology, Faculty of Biology, Ludwig-Maximilians-University Munich, Planegg-Martinsried, Germany
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9
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Baumgarten L, Pieper B, Song B, Mane S, Lempe J, Lamb J, Cooke EL, Srivastava R, Strütt S, Žanko D, Casimiro PGP, Hallab A, Cartolano M, Tattersall AD, Huettel B, Filatov DA, Pavlidis P, Neuffer B, Bazakos C, Schaefer H, Mott R, Gan X, Alonso-Blanco C, Laurent S, Tsiantis M. Pan-European study of genotypes and phenotypes in the Arabidopsis relative Cardamine hirsuta reveals how adaptation, demography, and development shape diversity patterns. PLoS Biol 2023; 21:e3002191. [PMID: 37463141 PMCID: PMC10353826 DOI: 10.1371/journal.pbio.3002191] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 06/10/2023] [Indexed: 07/20/2023] Open
Abstract
We study natural DNA polymorphisms and associated phenotypes in the Arabidopsis relative Cardamine hirsuta. We observed strong genetic differentiation among several ancestry groups and broader distribution of Iberian relict strains in European C. hirsuta compared to Arabidopsis. We found synchronization between vegetative and reproductive development and a pervasive role for heterochronic pathways in shaping C. hirsuta natural variation. A single, fast-cycling ChFRIGIDA allele evolved adaptively allowing range expansion from glacial refugia, unlike Arabidopsis where multiple FRIGIDA haplotypes were involved. The Azores islands, where Arabidopsis is scarce, are a hotspot for C. hirsuta diversity. We identified a quantitative trait locus (QTL) in the heterochronic SPL9 transcription factor as a determinant of an Azorean morphotype. This QTL shows evidence for positive selection, and its distribution mirrors a climate gradient that broadly shaped the Azorean flora. Overall, we establish a framework to explore how the interplay of adaptation, demography, and development shaped diversity patterns of 2 related plant species.
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Affiliation(s)
- Lukas Baumgarten
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Bjorn Pieper
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Baoxing Song
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Sébastien Mane
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Janne Lempe
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Jonathan Lamb
- Department of Biology, University of Oxford, Oxford, United Kingdom
| | - Elizabeth L. Cooke
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Rachita Srivastava
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Stefan Strütt
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Danijela Žanko
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | | | - Asis Hallab
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Maria Cartolano
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | | | - Bruno Huettel
- Max Planck Genome Centre Cologne, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | | | - Pavlos Pavlidis
- Institute of Computer Science, Foundation for Research and Technology, Crete, Greece
| | - Barbara Neuffer
- Department of Botany, University of Osnabrück, Osnabrück, Germany
| | - Christos Bazakos
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Hanno Schaefer
- Department Life Science Systems, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Richard Mott
- Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Xiangchao Gan
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Carlos Alonso-Blanco
- Department of Plant Molecular Genetics, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Stefan Laurent
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Miltos Tsiantis
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
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10
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Wang T, Wang X, Wang H, Yu C, Xiao C, Zhao Y, Han H, Zhao S, Shao Q, Zhu J, Zhao Y, Wang P, Ma C. Arabidopsis SRPKII family proteins regulate flowering via phosphorylation of SR proteins and effects on gene expression and alternative splicing. THE NEW PHYTOLOGIST 2023; 238:1889-1907. [PMID: 36942955 DOI: 10.1111/nph.18895] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 03/07/2023] [Indexed: 05/04/2023]
Abstract
Alternative splicing of pre-mRNAs is crucial for plant growth and development. Serine/arginine-rich (SR) proteins are a conserved family of RNA-binding proteins that are critical for both constitutive and alternative splicing. However, how phosphorylation of SR proteins regulates gene transcription and alternative splicing during plant development is poorly understood. We found that the Arabidopsis thaliana L. SR protein-specific kinase II family proteins (SRPKIIs) play an important role in plant development, including flowering. SRPKIIs regulate the phosphorylation status of a subset of specific SR proteins, including SR45 and SC35, which subsequently mediates their subcellular localization. A phospho-dead SR45 mutant inhibits the assembly of the apoptosis-and splicing-associated protein complex and thereby upregulates the expression of FLOWERING LOCUS C (FLC) via epigenetic modification. The splicing efficiency of FLC introns was significantly increased in the shoot apex of the srpkii mutant. Transcriptomic analysis revealed that SRPKIIs regulate the alternative splicing of c. 400 genes, which largely overlap with those regulated by SR45 and SC35-SCL family proteins. In summary, we found that Arabidopsis SRPKIIs specifically affect the phosphorylation status of a subset SR proteins and regulate the expression and alternative splicing of FLC to control flowering time.
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Affiliation(s)
- Tongtong Wang
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Xiaofeng Wang
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Haiyan Wang
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Chao Yu
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Chengyun Xiao
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Yiwu Zhao
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Huanan Han
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Shuangshuang Zhao
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Qun Shao
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Jianhua Zhu
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, 20742, USA
| | - Yanxiu Zhao
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Pingping Wang
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
| | - Changle Ma
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Wenhua East Road 88, Jinan, Shandong, 250014, China
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11
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Muhammad S, Xu X, Zhou W, Wu L. Alternative splicing: An efficient regulatory approach towards plant developmental plasticity. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023; 14:e1758. [PMID: 35983878 DOI: 10.1002/wrna.1758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/28/2022] [Accepted: 07/19/2022] [Indexed: 05/13/2023]
Abstract
Alternative splicing (AS) is a gene regulatory mechanism that plants adapt to modulate gene expression (GE) in multiple ways. AS generates alternative isoforms of the same gene following various development and environmental stimuli, increasing transcriptome plasticity and proteome complexity. AS controls the expression levels of certain genes and regulates GE networks that shape plant adaptations through nonsense-mediated decay (NMD). This review intends to discuss AS modulation, from interaction with noncoding RNAs to the established roles of splicing factors (SFs) in response to endogenous and exogenous cues. We aim to gather such studies that highlight the magnitude and impact of AS, which are not always clear from individual articles, when AS is increasing in individual genes and at a global level. This work also anticipates making plant researchers know that AS is likely to occur in their investigations and that dynamic changes in AS and their effects must be frequently considered. We also review our understanding of AS-mediated posttranscriptional modulation of plant stress tolerance and discuss its potential application in crop improvement in the future. This article is categorized under: RNA Processing > Splicing Regulation/Alternative Splicing RNA Processing > Splicing Mechanisms RNA-Based Catalysis > RNA Catalysis in Splicing and Translation.
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Affiliation(s)
- Sajid Muhammad
- Hainan Yazhou Bay Seed Laboratory, Hainan Institute of Zhejiang University, Sanya, Hainan, China
- State Key Laboratory of Rice Biology, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaoli Xu
- Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Weijun Zhou
- State Key Laboratory of Rice Biology, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Liang Wu
- Hainan Yazhou Bay Seed Laboratory, Hainan Institute of Zhejiang University, Sanya, Hainan, China
- State Key Laboratory of Rice Biology, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang, China
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12
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Roces V, Lamelas L, Valledor L, Carbó M, Cañal MJ, Meijón M. Integrative analysis in Pinus revealed long-term heat stress splicing memory. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 112:998-1013. [PMID: 36151923 PMCID: PMC9828640 DOI: 10.1111/tpj.15990] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 08/31/2022] [Accepted: 09/15/2022] [Indexed: 05/09/2023]
Abstract
Due to the current climate change, many studies have described main drivers in abiotic stress. Recent findings suggest that alternative splicing (AS) has a critical role in controlling plant responses to high temperature. AS is a mechanism that allows organisms to create an assortment of RNA transcripts and proteins using a single gene. However, the most important roles of AS in stress could not be rigorously addressed because research has been focused on model species, covering only a narrow phylogenetic and lifecycle spectrum. Thus, AS degree of diversification among more dissimilar taxa in heat response is still largely unknown. To fill this gap, the present study employs a systems biology approach to examine how the AS landscape responds to and 'remembers' heat stress in conifers, a group which has received little attention even though their position can solve key evolutionary questions. Contrary to angiosperms, we found that potential intron retention may not be the most prevalent type of AS. Furthermore, our integrative analysis with metabolome and proteome data places splicing as the main source of variation during the response. Finally, we evaluated possible acquired long-term splicing memory in a diverse subset of events, and although this mechanism seems to be conserved in seed plants, AS dynamics are divergent. These discoveries reveal the particular way of remembering past temperature changes in long-lived plants and open the door to include species with unique features to determine the extent of conservation in gene expression regulation.
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Affiliation(s)
- Víctor Roces
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of AsturiasUniversity of OviedoOviedoAsturiasSpain
| | - Laura Lamelas
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of AsturiasUniversity of OviedoOviedoAsturiasSpain
| | - Luis Valledor
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of AsturiasUniversity of OviedoOviedoAsturiasSpain
| | - María Carbó
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of AsturiasUniversity of OviedoOviedoAsturiasSpain
| | - María Jesús Cañal
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of AsturiasUniversity of OviedoOviedoAsturiasSpain
| | - Mónica Meijón
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of AsturiasUniversity of OviedoOviedoAsturiasSpain
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13
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Vandermeulen MD, Cullen PJ. Gene by Environment Interactions reveal new regulatory aspects of signaling network plasticity. PLoS Genet 2022; 18:e1009988. [PMID: 34982769 PMCID: PMC8759647 DOI: 10.1371/journal.pgen.1009988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 01/14/2022] [Accepted: 12/09/2021] [Indexed: 11/18/2022] Open
Abstract
Phenotypes can change during exposure to different environments through the regulation of signaling pathways that operate in integrated networks. How signaling networks produce different phenotypes in different settings is not fully understood. Here, Gene by Environment Interactions (GEIs) were used to explore the regulatory network that controls filamentous/invasive growth in the yeast Saccharomyces cerevisiae. GEI analysis revealed that the regulation of invasive growth is decentralized and varies extensively across environments. Different regulatory pathways were critical or dispensable depending on the environment, microenvironment, or time point tested, and the pathway that made the strongest contribution changed depending on the environment. Some regulators even showed conditional role reversals. Ranking pathways' roles across environments revealed an under-appreciated pathway (OPI1) as the single strongest regulator among the major pathways tested (RAS, RIM101, and MAPK). One mechanism that may explain the high degree of regulatory plasticity observed was conditional pathway interactions, such as conditional redundancy and conditional cross-pathway regulation. Another mechanism was that different pathways conditionally and differentially regulated gene expression, such as target genes that control separate cell adhesion mechanisms (FLO11 and SFG1). An exception to decentralized regulation of invasive growth was that morphogenetic changes (cell elongation and budding pattern) were primarily regulated by one pathway (MAPK). GEI analysis also uncovered a round-cell invasion phenotype. Our work suggests that GEI analysis is a simple and powerful approach to define the regulatory basis of complex phenotypes and may be applicable to many systems.
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Affiliation(s)
- Matthew D. Vandermeulen
- Department of Biological Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Paul J. Cullen
- Department of Biological Sciences, University at Buffalo, Buffalo, New York, United States of America
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14
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Dikaya V, El Arbi N, Rojas-Murcia N, Nardeli SM, Goretti D, Schmid M. Insights into the role of alternative splicing in plant temperature response. JOURNAL OF EXPERIMENTAL BOTANY 2021:erab234. [PMID: 34105719 DOI: 10.1093/jxb/erab234] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Indexed: 05/21/2023]
Abstract
Alternative splicing occurs in all eukaryotic organisms. Since the first description of multiexon genes and the splicing machinery, the field has expanded rapidly, especially in animals and yeast. However, our knowledge about splicing in plants is still quite fragmented. Though eukaryotes show some similarity in the composition and dynamics of the splicing machinery, observations of unique plant traits are only starting to emerge. For instance, plant alternative splicing is closely linked to their ability to perceive various environmental stimuli. Due to their sessile lifestyle, temperature is a central source of information allowing plants to adjust their development to match current growth conditions. Hence, seasonal temperature fluctuations and day-night cycles can strongly influence plant morphology across developmental stages. Here we discuss the available data about temperature-dependent alternative splicing in plants. Given its fragmented state it is not always possible to fit specific observations into a coherent picture, yet it is sufficient to estimate the complexity of this field and the need of further research. Better understanding of alternative splicing as a part of plant temperature response and adaptation may also prove to be a powerful tool for both, fundamental and applied sciences.
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Affiliation(s)
- Varvara Dikaya
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
| | - Nabila El Arbi
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
| | - Nelson Rojas-Murcia
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
| | - Sarah Muniz Nardeli
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
| | - Daniela Goretti
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
| | - Markus Schmid
- Umeå Plant Science Centre, Department of Plant Physiology, Umeå University, Umeå, Sweden
- Beijing Advanced Innovation Centre for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, People's Republic of China
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15
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Dent CI, Singh S, Mukherjee S, Mishra S, Sarwade RD, Shamaya N, Loo KP, Harrison P, Sureshkumar S, Powell D, Balasubramanian S. Quantifying splice-site usage: a simple yet powerful approach to analyze splicing. NAR Genom Bioinform 2021; 3:lqab041. [PMID: 34017946 PMCID: PMC8121094 DOI: 10.1093/nargab/lqab041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/24/2021] [Accepted: 04/28/2021] [Indexed: 02/07/2023] Open
Abstract
RNA splicing, and variations in this process referred to as alternative splicing, are critical aspects of gene regulation in eukaryotes. From environmental responses in plants to being a primary link between genetic variation and disease in humans, splicing differences confer extensive phenotypic changes across diverse organisms (1–3). Regulation of splicing occurs through differential selection of splice sites in a splicing reaction, which results in variation in the abundance of isoforms and/or splicing events. However, genomic determinants that influence splice-site selection remain largely unknown. While traditional approaches for analyzing splicing rely on quantifying variant transcripts (i.e. isoforms) or splicing events (i.e. intron retention, exon skipping etc.) (4), recent approaches focus on analyzing complex/mutually exclusive splicing patterns (5–8). However, none of these approaches explicitly measure individual splice-site usage, which can provide valuable information about splice-site choice and its regulation. Here, we present a simple approach to quantify the empirical usage of individual splice sites reflecting their strength, which determines their selection in a splicing reaction. Splice-site strength/usage, as a quantitative phenotype, allows us to directly link genetic variation with usage of individual splice-sites. We demonstrate the power of this approach in defining the genomic determinants of splice-site choice through GWAS. Our pilot analysis with more than a thousand splice sites hints that sequence divergence in cis rather than trans is associated with variations in splicing among accessions of Arabidopsis thaliana. This approach allows deciphering principles of splicing and has broad implications from agriculture to medicine.
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Affiliation(s)
- Craig I Dent
- School of Biological Sciences, Monash University, VIC 3800, Australia
| | - Shilpi Singh
- School of Biological Sciences, Monash University, VIC 3800, Australia
| | | | - Shikhar Mishra
- School of Biological Sciences, Monash University, VIC 3800, Australia
| | - Rucha D Sarwade
- School of Biological Sciences, Monash University, VIC 3800, Australia
| | - Nawar Shamaya
- School of Biological Sciences, Monash University, VIC 3800, Australia
| | - Kok Ping Loo
- School of Biological Sciences, Monash University, VIC 3800, Australia
| | - Paul Harrison
- Monash Bioinformatics Platform, Monash University, VIC 3800, Australia
| | | | - David Powell
- Monash Bioinformatics Platform, Monash University, VIC 3800, Australia
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