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Meng Y, Zhan J, Liu H, Liu J, Wang Y, Guo Z, He S, Nie L, Kohli A, Ye G. Natural variation of OsML1, a mitochondrial transcription termination factor, contributes to mesocotyl length variation in rice. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 115:910-925. [PMID: 37133286 DOI: 10.1111/tpj.16267] [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: 12/24/2022] [Revised: 04/04/2023] [Accepted: 04/27/2023] [Indexed: 05/04/2023]
Abstract
Mesocotyl length (ML) is a crucial factor in determining the establishment and yield of rice planted through dry direct seeding, a practice that is increasingly popular in rice production worldwide. ML is determined by the endogenous and external environments, and inherits as a complex trait. To date, only a few genes have been cloned, and the mechanisms underlying mesocotyl elongation remain largely unknown. Here, through a genome-wide association study using sequenced germplasm, we reveal that natural allelic variations in a mitochondrial transcription termination factor, OsML1, predominantly determined the natural variation of ML in rice. Natural variants in the coding regions of OsML1 resulted in five major haplotypes with a clear differentiation between subspecies and subpopulations in cultivated rice. The much-reduced genetic diversity of cultivated rice compared to the common wild rice suggested that OsML1 underwent selection during domestication. Transgenic experiments and molecular analysis demonstrated that OsML1 contributes to ML by influencing cell elongation primarily determined by H2 O2 homeostasis. Overexpression of OsML1 promoted mesocotyl elongation and thus improved the emergence rate under deep direct seeding. Taken together, our results suggested that OsML1 is a key positive regulator of ML, and is useful in developing varieties for deep direct seeding by conventional and transgenic approaches.
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Affiliation(s)
- Yun Meng
- Sanya Nanfan Research Institute of Hainan University, Hainan University, Sanya, 572025, China
- CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Junhui Zhan
- CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Hongyan Liu
- Sanya Nanfan Research Institute of Hainan University, Hainan University, Sanya, 572025, China
| | - Jindong Liu
- CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Yamei Wang
- CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Zhan Guo
- CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Sang He
- CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
| | - Lixiao Nie
- Sanya Nanfan Research Institute of Hainan University, Hainan University, Sanya, 572025, China
| | - Ajay Kohli
- Rice Breeding Innovations Platform, International Rice Research Institute (IRRI), Metro Manila, 1301, Philippines
| | - Guoyou Ye
- CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China
- Rice Breeding Innovations Platform, International Rice Research Institute (IRRI), Metro Manila, 1301, Philippines
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Pappi PG, Fotiou I, Efthimiou KE, Katis NI, Maliogka VI. Development of three duplex real-time RT-PCR assays for the sensitive and rapid detection of a phytoplasma and five viral pathogens affecting stone fruit trees. Mol Cell Probes 2020; 53:101621. [PMID: 32603761 DOI: 10.1016/j.mcp.2020.101621] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/27/2020] [Accepted: 06/15/2020] [Indexed: 10/24/2022]
Abstract
Three duplex real-time reverse-transcription polymerase chain reaction (real-time RT-PCR) assays based on TaqMan chemistry, were developed for the simultaneous detection and specific quantification of apple chlorotic leafspot virus (ACLSV), plum pox virus (PPV), prunus necrotic ringspot virus (PNRSV), prune dwarf virus (PDV), peach latent mosaic viroid (PLMVd) and the European stone fruit yellows (ESFY) phytoplasma, which are considered among the most important pathogens affecting stone fruit trees. The quantitative RT-PCR (RT-qPCR) assays were optimized using RNA transcripts (linearized plasmid was used for the assay optimization of the ESFY phytoplasma) of known concentrations. No differences in sensitivity were recorded between the duplex and singleplex RT-qPCR assays. The amplification efficiency of the duplex assays reached 91.1-95.8%, while the linear range of quantification was from 20 to 2 × 107 RNA/linearized plasmid transcripts for PLMVd and ESFY phytoplasma, 40 to 4 × 107 RNA transcripts for ACLSV, PPV and PDV, and 102 to 108 RNA transcripts for PNRSV, respectively. The duplex RT-qPCR assays, which were validated using both characterized isolates from all pathogens and field samples from Prunus species in Northern Greece, exhibited a broad detection range. Overall, the developed methods comprise useful tools that could be applied for the simultaneous and reliable detection of graft-transmissible pathogens in certification programs of Prunus spp.
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Affiliation(s)
- Polyxeni G Pappi
- Laboratory of Plant Pathology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, University Campus, Thessaloniki, Greece
| | - Ioanna Fotiou
- Laboratory of Plant Pathology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, University Campus, Thessaloniki, Greece
| | - Konstantinos E Efthimiou
- Laboratory of Plant Pathology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, University Campus, Thessaloniki, Greece
| | - Nikolaos I Katis
- Laboratory of Plant Pathology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, University Campus, Thessaloniki, Greece
| | - Varvara I Maliogka
- Laboratory of Plant Pathology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124, University Campus, Thessaloniki, Greece.
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Lin S, Wang S, Cheng X, Xiao S, Chen X, Chen S, Chen S, Yu F. Development of a duplex SYBR Green I-based quantitative real-time PCR assay for the rapid differentiation of goose and Muscovy duck parvoviruses. Virol J 2019; 16:6. [PMID: 30630503 PMCID: PMC6329121 DOI: 10.1186/s12985-018-1111-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 12/20/2018] [Indexed: 01/27/2023] Open
Abstract
Background Waterfowl parvoviruses, including goose parvovirus (GPV) and Muscovy duck parvovirus (MDPV), can cause seriously diseases in geese and ducks. Developing a fast and precise diagnosis assay for these two parvoviruses is particularly important. Results A duplex SYBR Green I-based quantitative real-time PCR assay was developed for the simultaneous detection and differentiation of GPV and MDPV. The assay yielded melting curves with specific single peak (Tm = 87.3 ± 0.26 °C or Tm = 85.4 ± 0.23 °C) when GPV or MDPV was evaluated, respectively. When both parvoviruses were assessed in one reaction, melting curves with specific double peaks were yielded. Conclusion This duplex quantitative RT-PCR can be used to rapid identify of GPV and MDPV in field cases and artificial trials, which make it a powerful tool for diagnosing, preventing and controlling waterfowl parvovirus infections.
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Affiliation(s)
- Su Lin
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agriculture Sciences, Fuzhou, 350003, China
| | - Shao Wang
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agriculture Sciences, Fuzhou, 350003, China
| | - Xiaoxia Cheng
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agriculture Sciences, Fuzhou, 350003, China
| | - Shifeng Xiao
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agriculture Sciences, Fuzhou, 350003, China
| | - Xiuqin Chen
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agriculture Sciences, Fuzhou, 350003, China.,Fujian Animal Diseases Control Technology Development Center, Fuzhou, 350013, China
| | - Shilong Chen
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agriculture Sciences, Fuzhou, 350003, China
| | - Shaoying Chen
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agriculture Sciences, Fuzhou, 350003, China. .,Fujian Animal Diseases Control Technology Development Center, Fuzhou, 350013, China.
| | - Fusong Yu
- Institute of Biotechnology, Fujian Academy of Agricultural Sciences, Fuzhou, 350003, China.
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Lee SY, Yea MC, Back CG, Choi KS, Kang IK, Lee SH, Jung HY. Survey of Cherry necrotic rusty mottle virus and Cherry green ring mottle virus incidence in Korea by Duplex RT-PCR. THE PLANT PATHOLOGY JOURNAL 2014; 30:445-9. [PMID: 25506311 PMCID: PMC4262299 DOI: 10.5423/ppj.nt.05.2014.0041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Revised: 07/24/2014] [Accepted: 08/12/2014] [Indexed: 06/04/2023]
Abstract
The incidence of Cherry necrotic rusty mottle virus (CNRMV) and Cherry green ring mottle virus (CGRMV) have recently been occurred in Korea, posing a problem for sweet cherry cultivation. Since infected trees have symptomless leaves or ring-like spots on the pericarp, it is difficult to identify a viral infection. In this study, the incidence of CNRMV and CGRMV in sweet cherry in Gyeongbuk province was surveyed using a newly developed duplex reverse transcriptase polymerase chain reaction (RT-PCR) method that can detect both viruses in a single reaction. CNRMV and CGRMV co-infection rates were 29.6%, 53.6%, and 17.6%, respectively, in samples collected from three different sites (Daegu, Gyeongju and Gyeongsan) in Gyeongbuk province during 2012 and 2013. This duplex RT-PCR method offers a simple, rapid, and effective way of identifying CNRMV and CGRMV simultaneously in sweet cherry trees, which can aid in the management of viral infections that could undermine yield.
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Affiliation(s)
- Seung-Yeol Lee
- College of Agriculture and Life Sciences, Kyungpook National University, Daegu 702-701, Korea
| | - Mi-Chi Yea
- College of Agriculture and Life Sciences, Kyungpook National University, Daegu 702-701, Korea
- College of Natural Sciences, Kyungpook National University, Daegu 702-701, Korea
| | - Chang-Gi Back
- College of Agriculture and Life Sciences, Kyungpook National University, Daegu 702-701, Korea
| | - Kwang-Shik Choi
- College of Natural Sciences, Kyungpook National University, Daegu 702-701, Korea
| | - In-Kyu Kang
- College of Agriculture and Life Sciences, Kyungpook National University, Daegu 702-701, Korea
| | - Su-Heon Lee
- College of Agriculture and Life Sciences, Kyungpook National University, Daegu 702-701, Korea
| | - Hee-Young Jung
- College of Agriculture and Life Sciences, Kyungpook National University, Daegu 702-701, Korea
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