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Araya S, Elia P, Quigley CV, Song Q. Genetic variation and genetic complexity of nodule occupancy in soybean inoculated with USDA110 and USDA123 rhizobium strains. BMC Genomics 2023; 24:520. [PMID: 37667205 PMCID: PMC10478483 DOI: 10.1186/s12864-023-09627-4] [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: 04/14/2023] [Accepted: 08/26/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Symbiotic nitrogen fixation differs among Bradyrhizobium japonicum strains. Soybean inoculated with USDA123 has a lower yield than strains known to have high nitrogen fixation efficiency, such as USDA110. In the main soybean-producing area in the Midwest of the United States, USDA123 has a high nodule incidence in field-grown soybean and is competitive but inefficient in nitrogen fixation. In this study, a high-throughput system was developed to characterize nodule number among 1,321 Glycine max and 69 Glycine soja accessions single inoculated with USDA110 and USDA123. RESULTS Seventy-three G. max accessions with significantly different nodule number of USDA110 and USDA123 were identified. After double inoculating 35 of the 73 accessions, it was observed that PI189939, PI317335, PI324187B, PI548461, PI562373, and PI628961 were occupied by USDA110 and double-strain nodules but not by USDA123 nodules alone. PI567624 was only occupied by USDA110 nodules, and PI507429 restricted all strains. Analysis showed that 35 loci were associated with nodule number in G. max when inoculated with strain USDA110 and 35 loci with USDA123. Twenty-three loci were identified in G. soja when inoculated with strain USDA110 and 34 with USDA123. Only four loci were common across two treatments, and each locus could only explain 0.8 to 1.5% of phenotypic variation. CONCLUSIONS High-throughput phenotyping systems to characterize nodule number and occupancy were developed, and soybean germplasm restricting rhizobium strain USDA123 but preferring USDA110 was identified. The larger number of minor effects and a small few common loci controlling the nodule number indicated trait genetic complexity and strain-dependent nodulation restriction. The information from the present study will add to the development of cultivars that limit USDA123, thereby increasing nitrogen fixation efficiency and productivity.
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Affiliation(s)
- Susan Araya
- Soybean Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, 20705, USA
| | - Patrick Elia
- Soybean Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, 20705, USA
| | - Charles V Quigley
- Soybean Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, 20705, USA
| | - Qijian Song
- Soybean Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, 20705, USA.
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Chen MX, Zhang KL, Zhang M, Das D, Fang YM, Dai L, Zhang J, Zhu FY. Alternative splicing and its regulatory role in woody plants. TREE PHYSIOLOGY 2020; 40:1475-1486. [PMID: 32589747 DOI: 10.1093/treephys/tpaa076] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 06/05/2020] [Accepted: 06/16/2020] [Indexed: 05/22/2023]
Abstract
Alternative splicing (AS) is an important post-transcriptional process to enhance proteome diversity in eukaryotic organisms. In plants, numerous reports have primarily focused on AS analysis in model plant species or herbaceous plants, leading to a notable lack of research on AS in woody plants. More importantly, emerging evidence indicates that many important traits, including wood formation and stress resistance, in woody plants are controlled by AS. In this review article, we summarize the current progress of all kinds of AS studies in different tree species at various stages of development and in response to various stresses, revealing the significant role played by AS in woody plants, as well as the similar properties and differential regulation within their herbaceous counterparts. Furthermore, we propose several potential strategies to facilitate the functional characterization of splicing factors in woody plants and evaluate a general pipeline for the systematic characterization of splicing isoforms in a complex AS regulatory network. The utilization of genetic studies and high-throughput omics integration approaches to analyze AS genes and splicing factors is likely to further advance our understanding of AS modulation in woody plants.
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Affiliation(s)
- Mo-Xian Chen
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Hunan Agricultural University, Changsha, 410128, China
| | - Kai-Lu Zhang
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
| | - Min Zhang
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
| | - Debatosh Das
- Department of Biology, Hong Kong Baptist University, and State Key Laboratory of Agrobiotechnology, the Chinese University of Hong Kong, Shatin 999077, Hong Kong
| | - Yan-Ming Fang
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
| | - Lei Dai
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jianhua Zhang
- Department of Biology, Hong Kong Baptist University, and State Key Laboratory of Agrobiotechnology, the Chinese University of Hong Kong, Shatin 999077, Hong Kong
| | - Fu-Yuan Zhu
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
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Niyikiza D, Piya S, Routray P, Miao L, Kim WS, Burch-Smith T, Gill T, Sams C, Arelli PR, Pantalone V, Krishnan HB, Hewezi T. Interactions of gene expression, alternative splicing, and DNA methylation in determining nodule identity. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 103:1744-1766. [PMID: 32491251 DOI: 10.1111/tpj.14861] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 04/19/2020] [Accepted: 05/20/2020] [Indexed: 06/11/2023]
Abstract
Soybean nodulation is a highly controlled process that involves complex gene regulation at both transcriptional and post-transcriptional levels. In the present study, we profiled gene expression changes, alternative splicing events, and DNA methylation patterns during nodule formation, development, and senescence. The transcriptome data uncovered key transcription patterns of nodule development that included 9669 core genes and 7302 stage-specific genes. Alternative splicing analysis uncovered a total of 2323 genes that undergo alternative splicing events in at least one nodule developmental stage, with activation of exon skipping and repression of intron retention being the most common splicing events in nodules compared to roots. Approximately 40% of the differentially spliced genes were also differentially expressed at the same nodule developmental stage, implying a substantial association between gene expression and alternative splicing. Genome-wide-DNA methylation analysis revealed dynamic changes in nodule methylomes that were specific to each nodule stage, occurred in a sequence-specific manner, and impacted the expression of 1864 genes. An attractive hypothesis raised by our data is that increased DNA methylation may contribute to the efficiency of alternative splicing. Together, our results provide intriguing insights into the associations between gene expression, alternative splicing, and DNA methylation that may shape transcriptome complexity and proteome specificity in developing soybean nodules.
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Affiliation(s)
- Daniel Niyikiza
- Department of Plant Sciences, University of Tennessee, Knoxville, TN, 37996, USA
| | - Sarbottam Piya
- Department of Plant Sciences, University of Tennessee, Knoxville, TN, 37996, USA
| | - Pratyush Routray
- Department of Plant Sciences, University of Tennessee, Knoxville, TN, 37996, USA
| | - Long Miao
- Department of Plant Sciences, University of Tennessee, Knoxville, TN, 37996, USA
| | - Won-Seok Kim
- Plant Science Division, University of Missouri, Columbia, MI, 65211, USA
| | - Tessa Burch-Smith
- Department of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, TN, 37996-0840, USA
| | - Tom Gill
- Smith Center for International Sustainable Agriculture, University of Tennessee, Knoxville, TN, 37996, USA
| | - Carl Sams
- Department of Plant Sciences, University of Tennessee, Knoxville, TN, 37996, USA
| | | | - Vince Pantalone
- Department of Plant Sciences, University of Tennessee, Knoxville, TN, 37996, USA
| | - Hari B Krishnan
- Plant Science Division, University of Missouri, Columbia, MI, 65211, USA
- Plant Genetics Research, USDA-Agricultural Research Service, Columbia, MI, 65211, USA
| | - Tarek Hewezi
- Department of Plant Sciences, University of Tennessee, Knoxville, TN, 37996, USA
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Rigo R, Bazin JRM, Crespi M, Charon CL. Alternative Splicing in the Regulation of Plant-Microbe Interactions. PLANT & CELL PHYSIOLOGY 2019; 60:1906-1916. [PMID: 31106828 DOI: 10.1093/pcp/pcz086] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 04/22/2019] [Indexed: 05/16/2023]
Abstract
As sessile organisms, plants are continuously exposed to a wide range of biotic interactions. While some biotic interactions are beneficial or even essential for the plant (e.g. rhizobia and mycorrhiza), others such as pathogens are detrimental and require fast adaptation. Plants partially achieve this growth and developmental plasticity by modulating the repertoire of genes they express. In the past few years, high-throughput transcriptome sequencing have revealed that, in addition to transcriptional control of gene expression, post-transcriptional processes, notably alternative splicing (AS), emerged as a key mechanism for gene regulation during plant adaptation to the environment. AS not only can increase proteome diversity by generating multiple transcripts from a single gene but also can reduce gene expression by yielding isoforms degraded by mechanisms such as nonsense-mediated mRNA decay. In this review, we will summarize recent discoveries detailing the contribution of AS to the regulation of plant-microbe interactions, with an emphasis on the modulation of immunity receptor function and other components of the signaling pathways that deal with pathogen responses. We will also discuss emerging evidences that AS could contribute to dynamic reprogramming of the plant transcriptome during beneficial interactions, such as the legume-symbiotic interaction.
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Affiliation(s)
- Richard Rigo
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris Sud, Univ Evry, Univ Paris-Diderot, Universite Paris-Saclay, Orsay Cedex, France
| | - Jï Rï Mie Bazin
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris Sud, Univ Evry, Univ Paris-Diderot, Universite Paris-Saclay, Orsay Cedex, France
| | - Martin Crespi
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris Sud, Univ Evry, Univ Paris-Diderot, Universite Paris-Saclay, Orsay Cedex, France
| | - Cï Line Charon
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris Sud, Univ Evry, Univ Paris-Diderot, Universite Paris-Saclay, Orsay Cedex, France
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Lai Y, Eulgem T. Transcript-level expression control of plant NLR genes. MOLECULAR PLANT PATHOLOGY 2018; 19:1267-1281. [PMID: 28834153 PMCID: PMC6638128 DOI: 10.1111/mpp.12607] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 08/14/2017] [Accepted: 08/15/2017] [Indexed: 05/20/2023]
Abstract
Plant NLR genes encode sensitive immune receptors that can mediate the specific recognition of pathogen avirulence effectors and activate a strong defence response, termed effector-triggered immunity. The expression of NLRs requires strict regulation, as their ability to trigger immunity is dependent on their dose, and overexpression of NLRs results in autoimmunity and massive fitness costs. An elaborate interplay of different mechanisms controlling NLR transcript levels allows plants to maximize their defence capacity, whilst limiting negative impact on their fitness. Global suppression of NLR transcripts may be a prerequisite for the fast evolution of new NLR variants and the expansion of this gene family. Here, we summarize recent progress made towards a comprehensive understanding of NLR transcript-level expression control. Multiple mechanistic steps, including transcription as well as co-/post-transcriptional processing and transcript turn-over, contribute to balanced base levels of NLR transcripts and allow for dynamic adjustments to defence situations.
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Affiliation(s)
- Yan Lai
- Department of Botany and Plant Sciences, Center for Plant Cell Biology, Institute of Integrative Genome BiologyUniversity of California at RiversideRiversideCA 92521USA
- College of Life SciencesFujian Agricultural and Forestry UniversityFuzhouFujian 350002China
| | - Thomas Eulgem
- Department of Botany and Plant Sciences, Center for Plant Cell Biology, Institute of Integrative Genome BiologyUniversity of California at RiversideRiversideCA 92521USA
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Yuan S, Li R, Chen S, Chen H, Zhang C, Chen L, Hao Q, Shan Z, Yang Z, Qiu D, Zhang X, Zhou X. RNA-Seq Analysis of Differential Gene Expression Responding to Different Rhizobium Strains in Soybean (Glycine max) Roots. FRONTIERS IN PLANT SCIENCE 2016; 7:721. [PMID: 27303417 PMCID: PMC4885319 DOI: 10.3389/fpls.2016.00721] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 05/10/2016] [Indexed: 05/25/2023]
Abstract
The root nodule symbiosis (RNS) between legume plants and rhizobia is the most efficient and productive source of nitrogen fixation, and has critical importance in agriculture and mesology. Soybean (Glycine max), one of the most important legume crops in the world, establishes a nitrogen-fixing symbiosis with different types of rhizobia, and the efficiency of symbiotic nitrogen fixation in soybean greatly depends on the symbiotic host-specificity. Although, it has been reported that rhizobia use surface polysaccharides, secretion proteins of the type-three secretion systems and nod factors to modulate host range, the host control of nodulation specificity remains poorly understood. In this report, the soybean roots of two symbiotic systems (Bradyrhizobium japonicum strain 113-2-soybean and Sinorhizobium fredii USDA205-soybean)with notable different nodulation phenotypes and the control were studied at five different post-inoculation time points (0.5, 7-24 h, 5, 16, and 21 day) by RNA-seq (Quantification). The results of qPCR analysis of 11 randomly-selected genes agreed with transcriptional profile data for 136 out of 165 (82.42%) data points and quality assessment showed that the sequencing library is of quality and reliable. Three comparisons (control vs. 113-2, control vs. USDA205 and USDA205 vs. 113-2) were made and the differentially expressed genes (DEGs) between them were analyzed. The number of DEGs at 16 days post-inoculation (dpi) was the highest in the three comparisons, and most of the DEGs in USDA205 vs. 113-2 were found at 16 dpi and 21 dpi. 44 go function terms in USDA205 vs. 113-2 were analyzed to evaluate the potential functions of the DEGs, and 10 important KEGG pathway enrichment terms were analyzed in the three comparisons. Some important genes induced in response to different strains (113-2 and USDA205) were identified and analyzed, and these genes primarily encoded soybean resistance proteins, NF-related proteins, nodulins and immunity defense proteins, as well as proteins involving flavonoids/flavone/flavonol biosynthesis and plant-pathogen interaction. Besides, 189 candidate genes are largely expressed in roots and\or nodules. The DEGs uncovered in this study provides molecular candidates for better understanding the mechanisms of symbiotic host-specificity and explaining the different symbiotic effects between soybean roots inoculated with different strains (113-2 and USDA205).
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Affiliation(s)
- Songli Yuan
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Rong Li
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Shuilian Chen
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Haifeng Chen
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Chanjuan Zhang
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Limiao Chen
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Qingnan Hao
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Zhihui Shan
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Zhonglu Yang
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Dezhen Qiu
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Xiaojuan Zhang
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
| | - Xinan Zhou
- Key Laboratory of Oil Crop Biology, Ministry of AgricultureWuhan, China
- Oil Crops Research Institute of Chinese Academy of Agriculture SciencesWuhan, China
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