Advances in the Use of DNA Barcodes
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    Prospects for plant DNA barcoding
    Dezhu Li, Chunxia Zeng
    Biodiv Sci    2015, 23 (3): 297-298.   DOI: 10.17520/biods.2015135
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    Cited: CSCD(9)
      
    DNA barcodes, speciation and taxonomy in plants
    Jianquan Liu
    Biodiv Sci    2015, 23 (3): 283-285.   DOI: 10.17520/biods.2015066
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    Cited: CSCD(3)
      
    Application of DNA barcoding in phylofloristics study
    Xuejun Ge
    Biodiv Sci    2015, 23 (3): 295-296.   DOI: 10.17520/biods.2015064
    Abstract1532)   HTML11)    PDF (517KB)(2971)       Save
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    Cited: CSCD(12)
      
    Application of DNA barcoding to conservation of highly valued, rare and endangered species
    Shiliang Zhou, Chao Xu, Wenpan Dong, Tao Cheng
    Biodiv Sci    2015, 23 (3): 288-290.   DOI: 10.17520/biods.2015090
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    Cited: CSCD(4)
      
    Applications of DNA barcoding in conservation biogeography
    Jihong Huang, Jianhua Huang
    Biodiv Sci    2015, 23 (3): 293-294.   DOI: 10.17520/biods.2015124
    Abstract1462)   HTML5)    PDF (487KB)(2144)       Save
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    Applications of DNA barcoding in biodiversity inventory and assessment
    Lianming Gao
    Biodiv Sci    2015, 23 (3): 286-287.   DOI: 10.17520/biods.2015070
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    Cited: CSCD(6)
      
    Plant DNA barcodes: implications for phylogenetics
    Xiaoguo Xiang, Wei Wang
    Biodiv Sci    2015, 23 (3): 281-282.   DOI: 10.17520/biods.2015065
    Abstract1549)   HTML8)    PDF (519KB)(2738)       Save
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    Cited: CSCD(1)
      
    Applications of DNA barcoding in evolutionary ecology
    Nancai Pei
    Biodiv Sci    2015, 23 (3): 291-292.   DOI: 10.17520/biods.2015063
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    Cited: CSCD(4)
      
    DNA barcoding in species identification of seashells: a case study in the ecological monitoring zone of Daya Bay, Guangdong
    Haitao Li, Baoxue Zhang, Yang Gao, Xiaojun Shi, Peng Zhou
    Biodiv Sci    2015, 23 (3): 299-305.   DOI: 10.17520/biods.2014261
    Abstract2127)   HTML9)    PDF (650KB)(4154)       Save

    To improve the accuracy of seashell species identification in the ecological monitoring zone of Daya Bay, Guangdong, we used DNA barcoding based on mitochondrial COI and 16S rRNA genes from specimens sampled in the winter of 2013. Among the 26 morphospecies, 15 can be identified to the species level using phylogenetic analyses. Some species, Ptychobela suturalis and Funa sp., were difficult to identify by shell morphology but were successfully identified using DNA barcoding. A high level of intraspecific sequence variation was observed in Paphia gallus, Nassarius siquijorensis and Turricula javana, suggesting that cryptic species may occur in these three morphospecies. Although the barcoding gap does not exist between intra- and interspecific variations based on COI and 16S rRNA genes, a phylogenetic approach can provide effective identification. DNA barcoding is an effective tool for accurate species identification and discovery of cryptic species in seashells.

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    Cited: CSCD(8)
      
    Current freshwater fish resources and the application of DNA barcoding in species identification in Gansu Province
    Tai Wang, Yanping Zhang, Lihong Guan, Yanyan Du, Zhongyu Lou, Wenlong Jiao
    Biodiv Sci    2015, 23 (3): 306-313.   DOI: 10.17520/biods.2014185
    Abstract2156)   HTML11)    PDF (696KB)(3912)       Save

    Between June and September in 2012, we investigated fish resources from the Yellow River, Jialing rivers and Hexi inland rivers in Gansu Province, China. Three thousand specimens were collected, belonging to 64 species, 38 genera, 10 families and 5 orders. Cyprinidae was the predominant species, accounting for 45% of the total species. Diversity analysis showed that fish diversity in the Jialing River basin was the highest (H = 2.15-3.27), followed by the inland rivers (H = 2.01-2.83). Two tributaries of the Yellow River, the Xiahe River and the Zhuanglang River had relatively lower diversity levels with the H values of 1.38 and 1.09, respectively. The Pielou index of Shule River was the highest with a value of 1.10, while that of the Heihe River was the lowest with a value of 0.68. The Simpson index of the Zhuanglang River was 0.34, the highest of the investigated rivers, while the trunk streams of Jialing River was the lowest. A total of 662 specimens of 49 species were randomly selected for DNA barcoding analysis using a partial sequence of the COI gene. The results indicated that most species formed monophyletic groups in the neighbor-joining tree. The average K2P genetic divergence was 0.88% within species and 9.99% among species. A significant barcode gap was found between intraspecific genetic distance and interspecific genetic distance. A nucleotide diagnostic method was needed for further identification because the K2P genetic distance of three species pairs (between Triplophysa stoliczkae and T. dalaica, T. robusta and T. siluroides, Schizopygopsis kialingensis and S. pylzovi) was less than 2%. Cryptic species may exist within Triplophysa stoliczkae and Phoxinus lagowskii. Triplophysa robusta and T. siluroides cannot be distinguished through COI gene sequences. The results showed that molecular methods, morphological characteristic and geographical distribution of species should be combined in order to comprehensively and accurately identify closely related species and geographic populations.

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    Cited: CSCD(8)