《蚌科DNA条形码识别与系统发育分析》.pdf

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1、UOnlminesystem：nhttp：／／www．jab~iotecnh．org虢囊璧■蟾瓣鞭⋯gy瞄疆-_：嚣～蚌科DNA条形码识别与系统发育分析欧阳解秀苏金荟欧阳珊周春花吴小平李绍波1南昌大学医学实验教学中心，南昌330036；2南昌大学生命科学学院，南昌330031通讯作者，xpwu@ncu．edu．cn；shaoboli@ncu．edu．cn摘要DNA条形码技术能准确、快速地鉴定物种，对物种分类和系统发育研究有着重要意义。作为真瓣鳃目(Eulamellibranchia)q~最大的一个科，蚌(Unionidae)是淡水生态系统中的关键物种。本研究依据我国19种蚌的线粒

2、体COl(cytochromecoxidase1)和ND1(NADHdehydrogenasesubunit1)基因片段的测序结果，结合NCBI数据库中1O种美国蚌相关基因的序列信息，采用DNA条形码技术，进行种间、种内遗传距离分析，构建系统发育树。结果表明，1)除三角蛏蚌(Solenaiatriangularis)与河蛏蚌(Solenaiarivularis)外，DNA条形码对物种识别结果与形态鉴定结果基本一致；2)种间遗传距离均大于种内遗传距离l0倍以上，说明基于线粒体C01和ND1基因的DNA条形码技术可以用于蚌科物种的快速鉴定；3)在分子系统发育树中，每个物种都独自聚为一

3、支。本研究结果为DNA条形码技术用于准确鉴定蚌科物种、分析蚌科生物量和保护淡水贝类提供了重要参考依据。关键词蚌科，DNA条形码，线粒体DNA，系统发育DNABarcodingandMolecularPhylogeneticAnalysisofFreshwaterionidsOUYANGJie—XiuSUJin—HuiOUYNGShanZHOUChun．Hua2WUXiao-Ping~’LIShao—BOlMedicalExperimentalTeachingCenter,NanchangUniversity,Nanchang330031，China；2CollegeofLifeS

4、ciences，NanchangUniversityNanchang330031，ChinaCorrespondingauthors，xpwu@ncu．edu．cn；shaoboli@ncu．edu．enAbstractDNAbarcodingtechnique，takingastandardizedDNAregionasatag，hasbeenprovedtobeanewaccurateapproachinspeciesidentificationandphylogeneticanalysisofcreatures．AsthelargestfamilyofEulamellibr

5、anchia．Unionidaeplaysakeyroleinfreshwaterecosystems．Wlesequencedpartialfragmentsof2mitochondrialgenes(cytochromecoxidase1(C01)andNADHdehydrogenasesubunit1(ND1))in19speciesfromChina．andanalyzedtheirrelationshipstogetherwiththepublisheddataof10AmericanunionidsfromNCBI．Theresearchbasedontheampli

6、ficationandsequencingof2mitochondriagenesC01andND1inl9speciesofmusselsfromChina．andcombinedwiththesequenceinfelrmationof10AmericanunionidsintheNCBIdatabase．ByusingDNAbarcodingtechnology,theresearchanalyzedintraspecificdistancesandinterspecificdistancesforunionidspecies．andphylogenetictreeofth

7、esespecieswasalsoconstructed．Formostofthespecies．therelationshipbetweenspeciesbasedonthegeneticdistancewereconsistentwithmatbytraditionaltaxonomiesaccordingtomorphologicalcharacteristics．However,asforSolenaia，2species(SolenaiatriangularisvsSo