Testing the Effectiveness of DNA Barcoding for Biodiversity Assessment of Moths from Nigeria
Comprehensive biodiversity assessment of moths in Nigeria rely greatly on accurate species identification. While most of the Nigerian moths are identified effortlessly using their morphological traits, some taxa are morphologically indistinguishable, which makes it difficult for taxon diagnosis. We...
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MDPI AG
2020-02-01
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| Online Access: | https://www.mdpi.com/1424-2818/12/2/85 |
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| author | Lotanna Micah Nneji Adeniyi Charles Adeola Yun-Yu Wang Adeyemi Mufutau Ajao Okorie Anyaele Yoila Malann Omotoso Olatunde Ifeanyi Christopher Nneji Adeola Oluwakemi Ayoola Md Mizanur Rahman Akinkunle Victor Adeniyi Agboola Okeyoyin Caroline Samuel Olory |
| author_facet | Lotanna Micah Nneji Adeniyi Charles Adeola Yun-Yu Wang Adeyemi Mufutau Ajao Okorie Anyaele Yoila Malann Omotoso Olatunde Ifeanyi Christopher Nneji Adeola Oluwakemi Ayoola Md Mizanur Rahman Akinkunle Victor Adeniyi Agboola Okeyoyin Caroline Samuel Olory |
| author_sort | Lotanna Micah Nneji |
| collection | DOAJ |
| description | Comprehensive biodiversity assessment of moths in Nigeria rely greatly on accurate species identification. While most of the Nigerian moths are identified effortlessly using their morphological traits, some taxa are morphologically indistinguishable, which makes it difficult for taxon diagnosis. We investigated the efficiency of the DNA barcode, a fragment of the mitochondrial Cytochrome C oxidase subunit I, as a tool for the identification of Nigerian moths. We barcoded 152 individuals comprising 18 morphospecies collected from one of the remaining and threatened rainforest blocks of Nigeria − the Cross River National Park. Phenetic neighbor-joining tree and phylogenetic Maximum Likelihood approach were employed for the molecular-based species identification. Results showed that DNA barcodes enabled species-level identification of most of the individuals collected from the Park. Additionally, DNA barcoding unraveled the presence of at least six potential new and yet undescribed species—<i>Amnemopsyche</i> sp., <i>Arctia</i> sp., <i>Deinypena</i> sp., <i>Hodebertia</i> sp., <i>Otroeda</i> sp., and <i>Palpita</i> sp. The phylogenetic Maximum Likelihood using the combined dataset of all the newly assembled sequences from Nigeria showed that all species formed unique clades. The phylogenetic analyses provided evidence of population divergence in <i>Euchromia</i> <i>lethe</i>, <i>Nyctemera</i> <i>leuconoe</i>, and <i>Deinypena</i> <i>lacista</i>. This study thus illustrates the efficacy of DNA barcoding for species identification and discovery of potential new species, which demonstrates its relevance in biodiversity documentation of Nigerian moths. Future work should, therefore, extend to the creation of an exhaustive DNA barcode reference library comprising all species of moths from Nigeria to have a comprehensive insight on the diversity of moths in the country. Finally, we propose integrated taxonomic methods that would combine morphological, ecological, and molecular data in the identification and diversity studies of moths in Nigeria. |
| first_indexed | 2024-04-11T14:09:12Z |
| format | Article |
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| language | English |
| last_indexed | 2024-04-11T14:09:12Z |
| publishDate | 2020-02-01 |
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| spelling | doaj.art-5640e6e120eb4fd5a84960f36a16d1e72022-12-22T04:19:46ZengMDPI AGDiversity1424-28182020-02-011228510.3390/d12020085d12020085Testing the Effectiveness of DNA Barcoding for Biodiversity Assessment of Moths from NigeriaLotanna Micah Nneji0Adeniyi Charles Adeola1Yun-Yu Wang2Adeyemi Mufutau Ajao3Okorie Anyaele4Yoila Malann5Omotoso Olatunde6Ifeanyi Christopher Nneji7Adeola Oluwakemi Ayoola8Md Mizanur Rahman9Akinkunle Victor Adeniyi10Agboola Okeyoyin11Caroline Samuel Olory12State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, ChinaState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, ChinaState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, ChinaDepartment of Biosciences and Biotechnology, Kwara State University, Malete 241104, NigeriaDepartment of Zoology, Faculty of Science, University of Ibadan, Ibadan 200, NigeriaDepartment of Biological Science, University of Abuja, Abuja, Federal Capital Territory 902101, NigeriaDepartment of Zoology, Faculty of Science, University of Ibadan, Ibadan 200, NigeriaDepartment of Biological Science, University of Abuja, Abuja, Federal Capital Territory 902101, NigeriaState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, ChinaState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, ChinaDepartment of Pure and Applied Zoology, Federal University of Agriculture, Abeokuta 112251, NigeriaNational Park Service Headquarters, Federal Capital Territory, Abuja, Federal Capital Territory 900001, NigeriaCross River National Park, Calabar 542, NigeriaComprehensive biodiversity assessment of moths in Nigeria rely greatly on accurate species identification. While most of the Nigerian moths are identified effortlessly using their morphological traits, some taxa are morphologically indistinguishable, which makes it difficult for taxon diagnosis. We investigated the efficiency of the DNA barcode, a fragment of the mitochondrial Cytochrome C oxidase subunit I, as a tool for the identification of Nigerian moths. We barcoded 152 individuals comprising 18 morphospecies collected from one of the remaining and threatened rainforest blocks of Nigeria − the Cross River National Park. Phenetic neighbor-joining tree and phylogenetic Maximum Likelihood approach were employed for the molecular-based species identification. Results showed that DNA barcodes enabled species-level identification of most of the individuals collected from the Park. Additionally, DNA barcoding unraveled the presence of at least six potential new and yet undescribed species—<i>Amnemopsyche</i> sp., <i>Arctia</i> sp., <i>Deinypena</i> sp., <i>Hodebertia</i> sp., <i>Otroeda</i> sp., and <i>Palpita</i> sp. The phylogenetic Maximum Likelihood using the combined dataset of all the newly assembled sequences from Nigeria showed that all species formed unique clades. The phylogenetic analyses provided evidence of population divergence in <i>Euchromia</i> <i>lethe</i>, <i>Nyctemera</i> <i>leuconoe</i>, and <i>Deinypena</i> <i>lacista</i>. This study thus illustrates the efficacy of DNA barcoding for species identification and discovery of potential new species, which demonstrates its relevance in biodiversity documentation of Nigerian moths. Future work should, therefore, extend to the creation of an exhaustive DNA barcode reference library comprising all species of moths from Nigeria to have a comprehensive insight on the diversity of moths in the country. Finally, we propose integrated taxonomic methods that would combine morphological, ecological, and molecular data in the identification and diversity studies of moths in Nigeria.https://www.mdpi.com/1424-2818/12/2/85biodiversitydna barcodingconservationpopulation divergencemothsnigeria |
| spellingShingle | Lotanna Micah Nneji Adeniyi Charles Adeola Yun-Yu Wang Adeyemi Mufutau Ajao Okorie Anyaele Yoila Malann Omotoso Olatunde Ifeanyi Christopher Nneji Adeola Oluwakemi Ayoola Md Mizanur Rahman Akinkunle Victor Adeniyi Agboola Okeyoyin Caroline Samuel Olory Testing the Effectiveness of DNA Barcoding for Biodiversity Assessment of Moths from Nigeria Diversity biodiversity dna barcoding conservation population divergence moths nigeria |
| title | Testing the Effectiveness of DNA Barcoding for Biodiversity Assessment of Moths from Nigeria |
| title_full | Testing the Effectiveness of DNA Barcoding for Biodiversity Assessment of Moths from Nigeria |
| title_fullStr | Testing the Effectiveness of DNA Barcoding for Biodiversity Assessment of Moths from Nigeria |
| title_full_unstemmed | Testing the Effectiveness of DNA Barcoding for Biodiversity Assessment of Moths from Nigeria |
| title_short | Testing the Effectiveness of DNA Barcoding for Biodiversity Assessment of Moths from Nigeria |
| title_sort | testing the effectiveness of dna barcoding for biodiversity assessment of moths from nigeria |
| topic | biodiversity dna barcoding conservation population divergence moths nigeria |
| url | https://www.mdpi.com/1424-2818/12/2/85 |
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