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Gaudry A, Pagni M, Mehl F, Moretti S, Quiros-Guerrero LM, Cappelletti L, Rutz A, Kaiser M, Marcourt L, Queiroz EF, Ioset JR, Grondin A, David B, Wolfender JL, Allard PM. A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery. ACS CENTRAL SCIENCE 2024; 10:494-510. [PMID: 38559298 PMCID: PMC10979503 DOI: 10.1021/acscentsci.3c00800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The ENPKG framework organizes large heterogeneous metabolomics data sets as a knowledge graph, offering exciting opportunities for drug discovery and chemodiversity characterization.
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Affiliation(s)
- Arnaud Gaudry
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Marco Pagni
- Vital-IT, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Florence Mehl
- Vital-IT, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Sébastien Moretti
- Vital-IT, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Luis-Manuel Quiros-Guerrero
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Luca Cappelletti
- Department of Biology, University of Fribourg, 1700 Fribourg, Switzerland
| | - Adriano Rutz
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Marcel Kaiser
- Department of Medical
and Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, 4123 Allschwil, Switzerland
- Faculty of Science, University of Basel, 4002 Basel, Switzerland
| | - Laurence Marcourt
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Emerson Ferreira Queiroz
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Jean-Robert Ioset
- Drugs
for Neglected Diseases Initiative (DNDi), 1202 Geneva, Switzerland
| | - Antonio Grondin
- Green Mission Pierre Fabre, Institut de Recherche Pierre Fabre, 31562 Toulouse, France
| | - Bruno David
- Green Mission Pierre Fabre, Institut de Recherche Pierre Fabre, 31562 Toulouse, France
| | - Jean-Luc Wolfender
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
| | - Pierre-Marie Allard
- Institute of Pharmaceutical
Sciences of Western Switzerland, University
of Geneva, 1211 Geneva 4, Switzerland
- School of Pharmaceutical Sciences, University
of Geneva, 1211 Geneva 4, Switzerland
- Department of Biology, University of Fribourg, 1700 Fribourg, Switzerland
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2
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Bittremieux W, Avalon NE, Thomas SP, Kakhkhorov SA, Aksenov AA, Gomes PWP, Aceves CM, Caraballo-Rodríguez AM, Gauglitz JM, Gerwick WH, Huan T, Jarmusch AK, Kaddurah-Daouk RF, Kang KB, Kim HW, Kondić T, Mannochio-Russo H, Meehan MJ, Melnik AV, Nothias LF, O'Donovan C, Panitchpakdi M, Petras D, Schmid R, Schymanski EL, van der Hooft JJJ, Weldon KC, Yang H, Xing S, Zemlin J, Wang M, Dorrestein PC. Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics. Nat Commun 2023; 14:8488. [PMID: 38123557 PMCID: PMC10733301 DOI: 10.1038/s41467-023-44035-y] [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: 09/05/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023] Open
Abstract
Despite the increasing availability of tandem mass spectrometry (MS/MS) community spectral libraries for untargeted metabolomics over the past decade, the majority of acquired MS/MS spectra remain uninterpreted. To further aid in interpreting unannotated spectra, we created a nearest neighbor suspect spectral library, consisting of 87,916 annotated MS/MS spectra derived from hundreds of millions of MS/MS spectra originating from published untargeted metabolomics experiments. Entries in this library, or "suspects," were derived from unannotated spectra that could be linked in a molecular network to an annotated spectrum. Annotations were propagated to unknowns based on structural relationships to reference molecules using MS/MS-based spectrum alignment. We demonstrate the broad relevance of the nearest neighbor suspect spectral library through representative examples of propagation-based annotation of acylcarnitines, bacterial and plant natural products, and drug metabolism. Our results also highlight how the library can help to better understand an Alzheimer's brain phenotype. The nearest neighbor suspect spectral library is openly available for download or for data analysis through the GNPS platform to help investigators hypothesize candidate structures for unknown MS/MS spectra in untargeted metabolomics data.
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Affiliation(s)
- Wout Bittremieux
- Department of Computer Science, University of Antwerp, 2020, Antwerpen, Belgium.
| | - Nicole E Avalon
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA
| | - Sydney P Thomas
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - Sarvar A Kakhkhorov
- Laboratory of Physical and Chemical Methods of Research, Center for Advanced Technologies, Tashkent, 100174, Uzbekistan
- Department of Food Science, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark
| | - Alexander A Aksenov
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
- Department of Chemistry, University of Connecticut, Storrs, CT, 06269, USA
- Arome Science inc., Farmington, CT, 06032, USA
| | - Paulo Wender P Gomes
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Andrés Mauricio Caraballo-Rodríguez
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - Julia M Gauglitz
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - William H Gerwick
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
| | - Tao Huan
- Department of Chemistry, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada
| | - Alan K Jarmusch
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
- Immunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA
| | - Rima F Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, 27701, USA
- Department of Medicine, Duke University, Durham, NC, 27710, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, 27710, USA
| | - Kyo Bin Kang
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Sookmyung Women's University, Seoul, 04310, Korea
| | - Hyun Woo Kim
- College of Pharmacy and Integrated Research Institute for Drug Development, Dongguk University, Goyang, 10326, Korea
| | - Todor Kondić
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367, Belvaux, Luxembourg
| | - Helena Mannochio-Russo
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
- Department of Biochemistry and Organic Chemistry, Institute of Chemistry, São Paulo State University, Araraquara, 14800-901, Brazil
| | - Michael J Meehan
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - Alexey V Melnik
- Department of Chemistry, University of Connecticut, Storrs, CT, 06269, USA
- Arome Science inc., Farmington, CT, 06032, USA
| | - Louis-Felix Nothias
- Université Côte d'Azur, CNRS, ICN, Nice, France
- Interdisciplinary Institute for Artificial Intelligence (3iA) Côte d'Azur, Nice, France
| | - Claire O'Donovan
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Morgan Panitchpakdi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - Daniel Petras
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
- Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, 72076, Tuebingen, Germany
- Department of Biochemistry, University of California Riverside, Riverside, CA, 92507, USA
| | - Robin Schmid
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - Emma L Schymanski
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367, Belvaux, Luxembourg
| | - Justin J J van der Hooft
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
- Bioinformatics Group, Wageningen University & Research, 6708 PB, Wageningen, The Netherlands
| | - Kelly C Weldon
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - Heejung Yang
- Laboratory of Natural Products Chemistry, College of Pharmacy, Kangwon National University, Chuncheon, 24341, Korea
| | - Shipei Xing
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
- Department of Chemistry, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada
| | - Jasmine Zemlin
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA
| | - Mingxun Wang
- Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, 92507, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, 92093, USA.
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3
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Popov RS, Ivanchina NV, Silchenko AS, Avilov SA, Kalinin VI, Malyarenko TV, Stonik VA, Dmitrenok PS. A Mass Spectrometry Database for Sea Cucumber Triterpene Glycosides. Metabolites 2023; 13:783. [PMID: 37512490 PMCID: PMC10384350 DOI: 10.3390/metabo13070783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/15/2023] [Accepted: 06/21/2023] [Indexed: 07/30/2023] Open
Abstract
Sea cucumber triterpene glycosides are a class of secondary metabolites that possess distinctive chemical structures and exhibit a variety of biological and pharmacological activities. The application of MS-based approaches for the study of triterpene glycosides allows rapid evaluation of the structural diversity of metabolites in complex mixtures. However, the identification of the detected triterpene glycosides can be challenging. The objective of this study is to establish the first spectral library containing the mass spectra of sea cucumber triterpene glycosides using ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry. The library contains the electrospray ionization tandem mass spectra and retention times of 191 triterpene glycosides previously isolated from 15 sea cucumber species and one starfish at the Laboratory of the Chemistry of Marine Natural Products of the G.B. Elyakov Pacific Institute of Bioorganic Chemistry. In addition, the chromatographic behavior and some structure-related neutral losses in tandem MS are discussed. The obtained data will accelerate the accurate dereplication of known triterpene glycosides and the annotation of novel compounds, as we demonstrated by the processing of LC-MS/MS data of Eupentacta fraudatrix extract.
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Affiliation(s)
- Roman S Popov
- G.B. Elyakov Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of Russian Academy of Sciences, 159 Prospect 100-let Vladivostoku, Vladivostok 690022, Russia
| | - Natalia V Ivanchina
- G.B. Elyakov Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of Russian Academy of Sciences, 159 Prospect 100-let Vladivostoku, Vladivostok 690022, Russia
| | - Alexandra S Silchenko
- G.B. Elyakov Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of Russian Academy of Sciences, 159 Prospect 100-let Vladivostoku, Vladivostok 690022, Russia
| | - Sergey A Avilov
- G.B. Elyakov Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of Russian Academy of Sciences, 159 Prospect 100-let Vladivostoku, Vladivostok 690022, Russia
| | - Vladimir I Kalinin
- G.B. Elyakov Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of Russian Academy of Sciences, 159 Prospect 100-let Vladivostoku, Vladivostok 690022, Russia
| | - Timofey V Malyarenko
- G.B. Elyakov Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of Russian Academy of Sciences, 159 Prospect 100-let Vladivostoku, Vladivostok 690022, Russia
| | - Valentin A Stonik
- G.B. Elyakov Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of Russian Academy of Sciences, 159 Prospect 100-let Vladivostoku, Vladivostok 690022, Russia
| | - Pavel S Dmitrenok
- G.B. Elyakov Pacific Institute of Bioorganic Chemistry, Far Eastern Branch of Russian Academy of Sciences, 159 Prospect 100-let Vladivostoku, Vladivostok 690022, Russia
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4
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Qiu S, Cai Y, Yao H, Lin C, Xie Y, Tang S, Zhang A. Small molecule metabolites: discovery of biomarkers and therapeutic targets. Signal Transduct Target Ther 2023; 8:132. [PMID: 36941259 PMCID: PMC10026263 DOI: 10.1038/s41392-023-01399-3] [Citation(s) in RCA: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/22/2023] Open
Abstract
Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.
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Affiliation(s)
- Shi Qiu
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China
| | - Ying Cai
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Hong Yao
- First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China
| | - Chunsheng Lin
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, 150001, China
| | - Yiqiang Xie
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Songqi Tang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Aihua Zhang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
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5
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Li Y, Zhu W, Xiang Q, Kim J, Dufresne C, Liu Y, Li T, Chen S. Creation of a Plant Metabolite Spectral Library for Untargeted and Targeted Metabolomics. Int J Mol Sci 2023; 24:ijms24032249. [PMID: 36768571 PMCID: PMC9916794 DOI: 10.3390/ijms24032249] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/06/2022] [Accepted: 01/19/2023] [Indexed: 01/25/2023] Open
Abstract
Large-scale high throughput metabolomic technologies are indispensable components of systems biology in terms of discovering and defining the metabolite parts of the system. However, the lack of a plant metabolite spectral library limits the metabolite identification of plant metabolomic studies. Here, we have created a plant metabolite spectral library using 544 authentic standards, which increased the efficiency of identification for untargeted metabolomic studies. The process of creating the spectral library was described, and the mzVault library was deposited in the public repository for free download. Furthermore, based on the spectral library, we describe a process of creating a pseudo-targeted method, which was applied to a proof-of-concept study of Arabidopsis leaf extracts. As authentic standards become available, more metabolite spectra can be easily incorporated into the spectral library to improve the mzVault package.
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Affiliation(s)
- Yangyang Li
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China
- Department of Biology, Genetics Institute, University of Florida, Gainesville, FL 32611, USA
| | - Wei Zhu
- Department of Biology, Genetics Institute, University of Florida, Gainesville, FL 32611, USA
| | - Qingyuan Xiang
- Department of Biology, Genetics Institute, University of Florida, Gainesville, FL 32611, USA
| | - Jeongim Kim
- Horticultural Sciences Department, University of Florida, Gainesville, FL 32610, USA
| | - Craig Dufresne
- Thermo Scientific Training Institute, West Palm Beach, FL 32407, USA
| | - Yufeng Liu
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China
| | - Tianlai Li
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China
| | - Sixue Chen
- Department of Biology, Genetics Institute, University of Florida, Gainesville, FL 32611, USA
- Department of Biology, University of Mississippi, Oxford, MS 38677, USA
- Correspondence:
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