Article(id=1226554098925875224, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1226554095926952065, articleNumber=null, orderNo=null, doi=10.13343/j.cnki.wsxb.20250005, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1735747200000, receivedDateStr=2025-01-02, revisedDate=null, revisedDateStr=null, acceptedDate=1739721600000, acceptedDateStr=2025-02-17, onlineDate=1770362885457, onlineDateStr=2026-02-06, pubDate=1751558400000, pubDateStr=2025-07-04, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1770362885457, onlineIssueDateStr=2026-02-06, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1770362885457, creator=13701087609, updateTime=1770362885457, updator=13701087609, issue=Issue{id=1226554095926952065, tenantId=1146029695717560320, journalId=1192105938417971205, year='2025', volume='65', issue='7', pageStart='2771', pageEnd='3233', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1770362884741, creator=13701087609, updateTime=1770363575040, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1226556991309529548, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1226554095926952065, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1226556991309529549, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1226554095926952065, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=3221, endPage=3233, ext={EN=ArticleExt(id=1226554099223670811, articleId=1226554098925875224, tenantId=1146029695717560320, journalId=1192105938417971205, language=EN, title=Application and detection condition optimization of a fluorescent recombinase-aided amplification method for field detection of
Enterocytozoon hepatopenaei in prawn, columnId=1194702985843413943, journalTitle=Acta Microbiologica Sinica, columnName=Technology and Method, runingTitle=null, highlight=null, articleAbstract=
[Objective] To develop a new and rapid fluorescent recombinase-aided amplification (RAA) method for the detection of Enterocytozoon hepatopenaei (EHP), one of the major pathogens restricting the development of the prawn farming industry. [Methods] Multiple pairs of RAA primers were designed based on the highly conserved 18S rRNA gene of EHP, and the primers with the highest amplification efficiency were screened by basic RAA and fluorescent RAA. The reaction system and conditions of fluorescent RAA were then optimized. The optimization results showed that the developed method achieved detection at 37 ℃ within 20 min. Finally, the sensitivity, specificity, precision, stability, and actual sample application of the developed fluorescent RAA method were evaluated. [Results] The fluorescent RAA method had high specificity and was only sensitive to EHP, and it had no response to other pathogens causing mixed infection or secondary infection. Moreover, it had high sensitivity and high precision, with the limit of detection being 5 copies/μL and the coefficient of variation less than 5% for repeat test results. The lyophilized premix of primers and probe demonstrated good stability. It can be stably transported, used, and stored for 10 d at room temperature (25 °C) and 5 d at the high temperature (37 °C) in summer, with the shelf life longer than one year at -20 ℃. Additionally, the detection results of ninety clinical samples of prawn by the developed method were consistent with those obtained by the fluorescence quantitative PCR method recommended by fishery industry standard Code of Diagnosis for Enterocytozoon hepatopenaei Disease (SC/T 7232—2020), with the result coincidence rate of 97.78% (88/90). In addition, the fluorescent RAA method showed the sensitivity of 100.00% (30/30) and the specificity of 96.67% (58/60). [Conclusion] The established fluorescent RAA method has the characteristics of rapid detection, simple operation, high sensitivity, high specificity, high precision, and good stability, providing a technical reference for the field rapid detection of EHP. It has a wide market application prospect in the accurate and rapid detection of aquatic diseases.
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【目的】 针对制约对虾养殖业发展的重要病原之一的虾肝肠胞虫(Enterocytozoon hepatopenaei, EHP)建立一种新的荧光重组酶聚合酶扩增(recombinase aided amplification, RAA)快速检测技术。 【方法】 以EHP的高保守性基因18S rRNA为检测靶基因,设计多对RAA引物,通过基础型RAA和荧光型RAA筛选出核酸扩增效率最高的引物组合。在此基础上,对荧光型RAA的扩增体系和扩增条件进行优化。优化结果显示,本方法在37 ℃、20 min即可完成检测。随后,对方法的灵敏度、特异性、精密度、稳定性及实际样本应用情况进行评估。 【结果】 本方法特异性高,仅对EHP敏感,对其他与EHP混合或继发感染的病原无反应。灵敏度高,最低检出限为5 copies/μL。精密度高,重复性结果的变异系数小于5%。预混引物探针的原位冻干检测试剂稳定性良好,在室温(25 ℃)和夏日高温(37 ℃)条件下分别可稳定运输、使用和保藏10 d和5 d,在-20 ℃条件下保质期超过1年。本方法对90份对虾临床样品的检测结果与水产行业标准SC/T 7232—2020推荐的荧光定量PCR方法一致,检测符合率为97.78% (88/90),灵敏度为100.00% (30/30),特异度为96.67% (58/60)。 【结论】 本研究建立的EHP荧光RAA方法具有快速、操作简便、高灵敏度、高特异性、高精密度、良好稳定性等特点,可为EHP的现场快速检测提供技术参考,在水产疫病精准快速检测中具有广阔的市场应用前景。
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作者贡献声明
林淦:全程实验操作过程、数据收集和处理、论文撰写;王佳慧:数据收集和处理;雷晨曦:协助质粒构建实验操作;付玉和:协助荧光RAA反应体系构建实验操作;谢铭:提供技术支持;李俊峰:协助荧光RAA方法性能评估实验操作;孙静:提供技术支持;宋厚辉:论文修改;程昌勇:研究构思和设计;吴芹:研究构思和设计,参与论文讨论。
, authorsList=林淦, 王佳慧, 雷晨曦, 付玉和, 谢铭, 李俊峰, 孙静, 宋厚辉, 程昌勇, 吴芹)}, authors=[Author(id=1227681727083114556, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1227681727192166470, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, authorId=1227681727083114556, language=EN, stringName=Gan LIN, firstName=Gan, middleName=null, lastName=LIN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, the Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, Hangzhou, Zhejiang, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1227681727309606991, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, authorId=1227681727083114556, language=CN, stringName=林淦, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.浙江农林大学 动物医学院,浙江省畜禽绿色生态健康养殖应用技术研究重点实验室,动物健康互联网检测技术浙江省工程研究中心,浙江省动物医学与健康管理国际科技合作基地,“一带一路”同一健康和食品安全国际联合实验室,中澳动物健康大数据分析联合实验室,浙江 杭州, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1227681726726598684, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, xref=1., ext=[AuthorCompanyExt(id=1227681726734987294, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726726598684, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, the Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, Hangzhou, Zhejiang, China), AuthorCompanyExt(id=1227681726743375903, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726726598684, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.浙江农林大学 动物医学院,浙江省畜禽绿色生态健康养殖应用技术研究重点实验室,动物健康互联网检测技术浙江省工程研究中心,浙江省动物医学与健康管理国际科技合作基地,“一带一路”同一健康和食品安全国际联合实验室,中澳动物健康大数据分析联合实验室,浙江 杭州)])]), Author(id=1227681727418658910, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, orderNo=1, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1227681727536099433, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, authorId=1227681727418658910, language=EN, stringName=Jiahui WANG, firstName=Jiahui, middleName=null, lastName=WANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, the Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, Hangzhou, Zhejiang, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1227681727645151348, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, authorId=1227681727418658910, language=CN, stringName=王佳慧, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.浙江农林大学 动物医学院,浙江省畜禽绿色生态健康养殖应用技术研究重点实验室,动物健康互联网检测技术浙江省工程研究中心,浙江省动物医学与健康管理国际科技合作基地,“一带一路”同一健康和食品安全国际联合实验室,中澳动物健康大数据分析联合实验室,浙江 杭州, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1227681726726598684, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, xref=1., ext=[AuthorCompanyExt(id=1227681726734987294, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726726598684, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, the Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, Hangzhou, Zhejiang, China), AuthorCompanyExt(id=1227681726743375903, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726726598684, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.浙江农林大学 动物医学院,浙江省畜禽绿色生态健康养殖应用技术研究重点实验室,动物健康互联网检测技术浙江省工程研究中心,浙江省动物医学与健康管理国际科技合作基地,“一带一路”同一健康和食品安全国际联合实验室,中澳动物健康大数据分析联合实验室,浙江 杭州)])]), Author(id=1227681727750008959, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1227681727892615309, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, authorId=1227681727750008959, language=EN, stringName=Chenxi LEI, firstName=Chenxi, middleName=null, lastName=LEI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, the Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, Hangzhou, Zhejiang, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1227681727997472917, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, authorId=1227681727750008959, language=CN, stringName=雷晨曦, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.浙江农林大学 动物医学院,浙江省畜禽绿色生态健康养殖应用技术研究重点实验室,动物健康互联网检测技术浙江省工程研究中心,浙江省动物医学与健康管理国际科技合作基地,“一带一路”同一健康和食品安全国际联合实验室,中澳动物健康大数据分析联合实验室,浙江 杭州, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1227681726726598684, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, xref=1., ext=[AuthorCompanyExt(id=1227681726734987294, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726726598684, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, the Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, Hangzhou, Zhejiang, China), AuthorCompanyExt(id=1227681726743375903, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726726598684, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.浙江农林大学 动物医学院,浙江省畜禽绿色生态健康养殖应用技术研究重点实验室,动物健康互联网检测技术浙江省工程研究中心,浙江省动物医学与健康管理国际科技合作基地,“一带一路”同一健康和食品安全国际联合实验室,中澳动物健康大数据分析联合实验室,浙江 杭州)])]), Author(id=1227681728127496353, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, orderNo=3, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1227681728265908393, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, authorId=1227681728127496353, language=EN, stringName=Yuhe FU, firstName=Yuhe, middleName=null, lastName=FU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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2.浙江领与生物科技有限公司,浙江 杭州)])]), Author(id=1227681729855549632, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, orderNo=4, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1227681730111402192, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, authorId=1227681729855549632, language=EN, stringName=Ming XIE, firstName=Ming, middleName=null, lastName=XIE, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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23(12): 2778-2788., articleTitle=A digital microfluidic platform coupled with colorimetric loop-mediated isothermal amplification for on-site visual diagnosis of multiple diseases, refAbstract=null)], funds=[Fund(id=1227681739598918140, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, awardId=2023YFD1801000, language=EN, fundingSource=National Key Research and Development Program of China(2023YFD1801000), fundOrder=null, country=null), Fund(id=1227681739720552965, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, awardId=2023YFD1801000, language=CN, fundingSource=国家重点研发计划(2023YFD1801000), fundOrder=null, country=null), Fund(id=1227681739871547913, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, awardId=2021LFR044, language=EN, fundingSource=Zhejiang A&F University Talents Starting Program(2021LFR044), fundOrder=null, country=null), Fund(id=1227681739980599822, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, awardId=2021LFR044, language=CN, fundingSource=浙江农林大学科研发展基金(2021LFR044), fundOrder=null, country=null), Fund(id=1227681740098040340, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, awardId=2024R412B056, language=EN, fundingSource=Science and Technology Activity and New Talent Program for Undergraduate of Zhejiang Province(2024R412B056), fundOrder=null, country=null), Fund(id=1227681740202897948, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, awardId=2024R412B056, language=CN, fundingSource=浙江省大学生科技活动计划暨新苗人才计划(2024R412B056), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1227681726726598684, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, xref=1., ext=[AuthorCompanyExt(id=1227681726734987294, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726726598684, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, the Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, Hangzhou, Zhejiang, China), AuthorCompanyExt(id=1227681726743375903, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726726598684, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.浙江农林大学 动物医学院,浙江省畜禽绿色生态健康养殖应用技术研究重点实验室,动物健康互联网检测技术浙江省工程研究中心,浙江省动物医学与健康管理国际科技合作基地,“一带一路”同一健康和食品安全国际联合实验室,中澳动物健康大数据分析联合实验室,浙江 杭州)]), AuthorCompany(id=1227681726902759467, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, xref=2., ext=[AuthorCompanyExt(id=1227681726911148077, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726902759467, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
2.Zhejiang Ling Yu Bio-Sci&Tech Co. , Ltd. , Hangzhou, Zhejiang, China), AuthorCompanyExt(id=1227681726919536685, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, companyId=1227681726902759467, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
2.浙江领与生物科技有限公司,浙江 杭州)])], figs=[ArticleFig(id=1227681736549659031, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=EN, label=Figure 1, caption=
PCR identification results of recombinant plasmid. A: PCR identification results of EHP 18S rRNA fragment (Lane M: DL2000 DNA marker; Lane 1: Amplification product of EHP 18S rRNA gene fragment; Lane 2: Negative control); B: Identification results of recombinant plasmid pUC57-18S rRNA (Lane M: DL15000 DNA marker; Lane 1: Recombinant plasmid pUC57-18S rRNA; Lane 2: Negative control); C: PCR identification results of positive clonal strain (Lane M: DL2000 DNA marker; Lane 1: Positive clonal strain; Lane 2: Negative control)., figureFileSmall=uZCF1funshzpzTo6hO0pfw==, figureFileBig=ZS7zu9l1yMGnJGjhBxsacw==, tableContent=null), ArticleFig(id=1227681736662905244, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=CN, label=图1, caption=
重组质粒的PCR鉴定结果。A:EHP 18S rRNA片段的PCR鉴定结果(泳道M:DL2000 DNA marker;泳道1:EHP 18S rRNA基因片段的扩增产物;泳道2:阴性对照);B:重组质粒pUC57-18S rRNA的鉴定结果(泳道M:DL15000 DNA marker;泳道1:重组质粒pUC57-18S rRNA;泳道2:阴性对照);C:阳性克隆菌株的PCR鉴定结果(泳道M:DL2000 DNA marker;泳道1:阳性克隆菌株;泳道2:阴性对照)。, figureFileSmall=uZCF1funshzpzTo6hO0pfw==, figureFileBig=ZS7zu9l1yMGnJGjhBxsacw==, tableContent=null), ArticleFig(id=1227681736809705893, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=EN, label=Figure 2, caption=
Screening results of different combinations of RAA primers. A: Screening results of basic RAA (Marker: Standard control; NC: Negative control); B: Screening results of fluorescent RAA., figureFileSmall=5MlJl+i9CsU+ia7O6ZZnOQ==, figureFileBig=akjO8C7jVW/mUWOkWjjnTQ==, tableContent=null), ArticleFig(id=1227681736893591979, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=CN, label=图2, caption=
RAA引物不同组合的筛选结果。A:基础型RAA筛选结果(Marker:标准对照;NC:阴性对照);B:荧光型RAA筛选结果。, figureFileSmall=5MlJl+i9CsU+ia7O6ZZnOQ==, figureFileBig=akjO8C7jVW/mUWOkWjjnTQ==, tableContent=null), ArticleFig(id=1227681737019421106, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=EN, label=Figure 3, caption=
Optimization results for reaction system and reaction conditions of fluorescent RAA. A: Optimization results of probe usage; B: Optimization results of primer usage; C: Optimization results of reaction temperature; D: Optimization results of reaction time., figureFileSmall=UDJUasZX+F3zQgBVGpZnIA==, figureFileBig=GCf8bUfRXKlbt/36HRIdCA==, tableContent=null), ArticleFig(id=1227681737145250233, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=CN, label=图3, caption=
荧光型RAA反应体系和反应条件的优化结果。A:探针使用量的优化结果;B:引物使用量的优化结果;C:反应温度的优化结果;D:反应时间的优化结果。, figureFileSmall=UDJUasZX+F3zQgBVGpZnIA==, figureFileBig=GCf8bUfRXKlbt/36HRIdCA==, tableContent=null), ArticleFig(id=1227681737241719234, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=EN, label=Figure 4, caption=
Performance evaluation results of the present method. A: Evaluation results for sensitivity; B: Evaluation results for specificity; C-E: Evaluation results for stability of 25, 37 and -20 ℃, respectively., figureFileSmall=Uew5Xk/06g16ynpLbQJEpA==, figureFileBig=Ui2CAixvt7cvI0EmMS5DXg==, tableContent=null), ArticleFig(id=1227681737367548362, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=CN, label=图4, caption=
本方法性能评估结果。A:灵敏度评估结果;B:特异性的评估结果;C-E:稳定性评估结果。, figureFileSmall=Uew5Xk/06g16ynpLbQJEpA==, figureFileBig=Ui2CAixvt7cvI0EmMS5DXg==, tableContent=null), ArticleFig(id=1227681737510154703, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=EN, label=Table 1, caption=
Sequence of primers and probes
, figureFileSmall=null, figureFileBig=null, tableContent=
| Sequences name | Sequences (5′→3′) |
|---|
| EHP-RAA-P | ATGGTGGATGCTGCAGTTAAAGGGTCCG[FAM-dT]A[THF][BHQ-dT]CGTAGATGCAATTA |
| EHP-RAA-F1 | GAAACGTGAGTAGAAGGGTCGAGTGTAAA |
| EHP-RAA-F2 | CAGTTATGAAACGTGAGTAGAAGGGTCG |
| EHP-RAA-F3 | AGCAGCCGCGGTAATTCCAACTCCAAGAGT |
| EHP-RAA-F4 | TCCACTCTTTTGGGAGGAGACAGTTATG |
| EHP-RAA-R1 | GTCTTGAGATTTCATTCTTTGCCCACCTATAC |
| EHP-RAA-R2 | CAAACTCAATGGCTTTTAACACCACCTT |
| EHP-RAA-R3 | GATTTCATTCTTTGCCCACCTATACCAT |
| EHP-RAA-R4 | CGCTACTCTCAACAAACTCAATGGCTTT |
| EHP-F157* | AGTAAACTATGCCGACAA |
| EHP-R157* | AATTAAGCAGCACAATCC |
| TapMan probe | FAM-TCCTGGTAGTGTCCTTCCGT-TAMRA |
), ArticleFig(id=1227681738747474388, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=CN, label=表1, caption=
引物和探针序列表
, figureFileSmall=null, figureFileBig=null, tableContent=
| Sequences name | Sequences (5′→3′) |
|---|
| EHP-RAA-P | ATGGTGGATGCTGCAGTTAAAGGGTCCG[FAM-dT]A[THF][BHQ-dT]CGTAGATGCAATTA |
| EHP-RAA-F1 | GAAACGTGAGTAGAAGGGTCGAGTGTAAA |
| EHP-RAA-F2 | CAGTTATGAAACGTGAGTAGAAGGGTCG |
| EHP-RAA-F3 | AGCAGCCGCGGTAATTCCAACTCCAAGAGT |
| EHP-RAA-F4 | TCCACTCTTTTGGGAGGAGACAGTTATG |
| EHP-RAA-R1 | GTCTTGAGATTTCATTCTTTGCCCACCTATAC |
| EHP-RAA-R2 | CAAACTCAATGGCTTTTAACACCACCTT |
| EHP-RAA-R3 | GATTTCATTCTTTGCCCACCTATACCAT |
| EHP-RAA-R4 | CGCTACTCTCAACAAACTCAATGGCTTT |
| EHP-F157* | AGTAAACTATGCCGACAA |
| EHP-R157* | AATTAAGCAGCACAATCC |
| TapMan probe | FAM-TCCTGGTAGTGTCCTTCCGT-TAMRA |
), ArticleFig(id=1227681738923635165, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=EN, label=Table 2, caption=
Reproducibility evaluation results
, figureFileSmall=null, figureFileBig=null, tableContent=
样品浓度 Sample concentration | 20个样本Ct值 Ct values of twenty samples | CV值 CV values (%) |
|---|
| 50 copies/uL | 11.8 | 10.9 | 11.9 | 11.6 | 12.8 | 4.7 |
| 11.0 | 12.1 | 11.3 | 11.6 | 11.4 |
| 11.5 | 11.6 | 12.5 | 12.3 | 11.2 |
| 11.7 | 12.2 | 12.1 | 11.0 | 12.6 |
), ArticleFig(id=1227681739074630118, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=CN, label=表2, caption=
重现性评估结果
, figureFileSmall=null, figureFileBig=null, tableContent=
样品浓度 Sample concentration | 20个样本Ct值 Ct values of twenty samples | CV值 CV values (%) |
|---|
| 50 copies/uL | 11.8 | 10.9 | 11.9 | 11.6 | 12.8 | 4.7 |
| 11.0 | 12.1 | 11.3 | 11.6 | 11.4 |
| 11.5 | 11.6 | 12.5 | 12.3 | 11.2 |
| 11.7 | 12.2 | 12.1 | 11.0 | 12.6 |
), ArticleFig(id=1227681739208847851, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=EN, label=Table 3, caption=
Application results of actual samples
, figureFileSmall=null, figureFileBig=null, tableContent=
方法 Method | 阳性样本数/例 Number of positive samples/case | 阴性样本数/例 Number of negative samples/case | 阳性率Positive rate (%) | 符合率 Compliance rate (%) | 灵敏度 Sensitivity (%) | 特异性 Specificity (%) |
|---|
荧光定量PCR方法 Fluorescence quantitative PCR method | 30 | 60 | 33.33 | 97.78 (88/90) | 100.00 (30/30) | 96.67 (58/60) |
荧光RAA方法 Fluorescent RAA detection method | 32 | 58 | 35.55 |
), ArticleFig(id=1227681739351454192, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1226554098925875224, language=CN, label=表3, caption=
实际样本应用结果
, figureFileSmall=null, figureFileBig=null, tableContent=
方法 Method | 阳性样本数/例 Number of positive samples/case | 阴性样本数/例 Number of negative samples/case | 阳性率Positive rate (%) | 符合率 Compliance rate (%) | 灵敏度 Sensitivity (%) | 特异性 Specificity (%) |
|---|
荧光定量PCR方法 Fluorescence quantitative PCR method | 30 | 60 | 33.33 | 97.78 (88/90) | 100.00 (30/30) | 96.67 (58/60) |
荧光RAA方法 Fluorescent RAA detection method | 32 | 58 | 35.55 |
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