DNA barcoding and species delimitation of butterflies (Lepidoptera) from Nigeria
Accurate identification of species is a prerequisite for successful biodiversity management and further genetic studies. Species identification techniques often require both morphological diagnostics and molecular tools, such as DNA barcoding, for correct identification. In particular, the use of th...
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creator | Nneji, Lotanna Micah Adeola, Adeniyi Charles Ayoola, Adeola Oluwakemi Oladipo, Segun Olayinka Wang, Yun-Yu Malann, Yoila D. Anyaele, Okorie Nneji, Ifeanyi Christopher Rahman, Md Mizanur Olory, Caroline Samuel |
description | Accurate identification of species is a prerequisite for successful biodiversity management and further genetic studies. Species identification techniques often require both morphological diagnostics and molecular tools, such as DNA barcoding, for correct identification. In particular, the use of the subunit I of the mitochondrial
cytochrome c oxidase
(COI) gene for DNA barcoding has proven useful in species identification for insects. However, to date, no studies have been carried out on the DNA barcoding of Nigerian butterflies. We evaluated the utility of DNA barcoding applied for the first time to 735 butterfly specimens from southern Nigeria. In total, 699 DNA barcodes, resulting in a record of 116 species belonging to 57 genera, were generated. Our study sample comprised 807 DNA barcodes based on sequences generated from our current study and 108 others retrieved from BOLD. Different molecular analyses, including genetic distance-based evaluation (Neighbor-Joining, Maximum Likelihood and Bayesian trees) and species delimitation tests (TaxonDNA, Automated Barcode Gap Discovery, General Mixed Yule-Coalescent, and Bayesian Poisson Tree Processes) were performed to accurately identify and delineate species. The genetic distance-based analyses resulted in 163 well-separated clusters consisting of 147 described and 16 unidentified species. Our findings indicate that about 90.20% of the butterfly species were explicitly discriminated using DNA barcodes. Also, our field collections reported the first country records of ten butterfly species—
Acraea serena
,
Amauris
cf.
dannfelti
,
Aterica galena extensa
,
Axione tjoane rubescens
,
Charaxes galleyanus
,
Papilio lormieri lormeri
,
Pentila alba
,
Precis actia
,
Precis tugela,
and
Tagiades flesus
. Further, DNA barcodes revealed a high mitochondrial intraspecific divergence of more than 3% in
Bicyclus vulgaris vulgaris
and
Colotis evagore
. Furthermore, our result revealed an overall high haplotype (gene) diversity (0.9764), suggesting that DNA barcoding can provide information at a population level for Nigerian butterflies. The present study confirms the efficiency of DNA barcoding for identifying butterflies from Nigeria. To gain a better understanding of regional variation in DNA barcodes of this biogeographically complex area, future work should expand the DNA barcode reference library to include all butterfly species from Nigeria as well as surrounding countries. Also, further studies, involving relevant ge |
doi_str_mv | 10.1007/s11033-020-05984-5 |
format | Article |
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cytochrome c oxidase
(COI) gene for DNA barcoding has proven useful in species identification for insects. However, to date, no studies have been carried out on the DNA barcoding of Nigerian butterflies. We evaluated the utility of DNA barcoding applied for the first time to 735 butterfly specimens from southern Nigeria. In total, 699 DNA barcodes, resulting in a record of 116 species belonging to 57 genera, were generated. Our study sample comprised 807 DNA barcodes based on sequences generated from our current study and 108 others retrieved from BOLD. Different molecular analyses, including genetic distance-based evaluation (Neighbor-Joining, Maximum Likelihood and Bayesian trees) and species delimitation tests (TaxonDNA, Automated Barcode Gap Discovery, General Mixed Yule-Coalescent, and Bayesian Poisson Tree Processes) were performed to accurately identify and delineate species. The genetic distance-based analyses resulted in 163 well-separated clusters consisting of 147 described and 16 unidentified species. Our findings indicate that about 90.20% of the butterfly species were explicitly discriminated using DNA barcodes. Also, our field collections reported the first country records of ten butterfly species—
Acraea serena
,
Amauris
cf.
dannfelti
,
Aterica galena extensa
,
Axione tjoane rubescens
,
Charaxes galleyanus
,
Papilio lormieri lormeri
,
Pentila alba
,
Precis actia
,
Precis tugela,
and
Tagiades flesus
. Further, DNA barcodes revealed a high mitochondrial intraspecific divergence of more than 3% in
Bicyclus vulgaris vulgaris
and
Colotis evagore
. Furthermore, our result revealed an overall high haplotype (gene) diversity (0.9764), suggesting that DNA barcoding can provide information at a population level for Nigerian butterflies. The present study confirms the efficiency of DNA barcoding for identifying butterflies from Nigeria. To gain a better understanding of regional variation in DNA barcodes of this biogeographically complex area, future work should expand the DNA barcode reference library to include all butterfly species from Nigeria as well as surrounding countries. Also, further studies, involving relevant genetic and eco-morphological datasets, are required to understand processes governing mitochondrial intraspecific divergences reported in some species complexes.</description><identifier>ISSN: 0301-4851</identifier><identifier>EISSN: 1573-4978</identifier><identifier>DOI: 10.1007/s11033-020-05984-5</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Animal Anatomy ; Animal Biochemistry ; Bayesian analysis ; Biodiversity ; Biomedical and Life Sciences ; Butterflies & moths ; Cytochrome-c oxidase ; Deoxyribonucleic acid ; Divergence ; DNA ; DNA barcoding ; Genera ; Genetic analysis ; Genetic distance ; Haplotypes ; Histology ; Life Sciences ; Mitochondria ; Morphology ; Nucleotide sequence ; Original Article ; Species</subject><ispartof>Molecular biology reports, 2020-12, Vol.47 (12), p.9441-9457</ispartof><rights>Springer Nature B.V. 2020</rights><rights>Springer Nature B.V. 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-bd3e9fb53a033645f16958d5db9ea254abcfcf2eac2080411932958a95e1a6d93</citedby><cites>FETCH-LOGICAL-c352t-bd3e9fb53a033645f16958d5db9ea254abcfcf2eac2080411932958a95e1a6d93</cites><orcidid>0000-0003-1422-1683</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11033-020-05984-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11033-020-05984-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Nneji, Lotanna Micah</creatorcontrib><creatorcontrib>Adeola, Adeniyi Charles</creatorcontrib><creatorcontrib>Ayoola, Adeola Oluwakemi</creatorcontrib><creatorcontrib>Oladipo, Segun Olayinka</creatorcontrib><creatorcontrib>Wang, Yun-Yu</creatorcontrib><creatorcontrib>Malann, Yoila D.</creatorcontrib><creatorcontrib>Anyaele, Okorie</creatorcontrib><creatorcontrib>Nneji, Ifeanyi Christopher</creatorcontrib><creatorcontrib>Rahman, Md Mizanur</creatorcontrib><creatorcontrib>Olory, Caroline Samuel</creatorcontrib><title>DNA barcoding and species delimitation of butterflies (Lepidoptera) from Nigeria</title><title>Molecular biology reports</title><addtitle>Mol Biol Rep</addtitle><description>Accurate identification of species is a prerequisite for successful biodiversity management and further genetic studies. Species identification techniques often require both morphological diagnostics and molecular tools, such as DNA barcoding, for correct identification. In particular, the use of the subunit I of the mitochondrial
cytochrome c oxidase
(COI) gene for DNA barcoding has proven useful in species identification for insects. However, to date, no studies have been carried out on the DNA barcoding of Nigerian butterflies. We evaluated the utility of DNA barcoding applied for the first time to 735 butterfly specimens from southern Nigeria. In total, 699 DNA barcodes, resulting in a record of 116 species belonging to 57 genera, were generated. Our study sample comprised 807 DNA barcodes based on sequences generated from our current study and 108 others retrieved from BOLD. Different molecular analyses, including genetic distance-based evaluation (Neighbor-Joining, Maximum Likelihood and Bayesian trees) and species delimitation tests (TaxonDNA, Automated Barcode Gap Discovery, General Mixed Yule-Coalescent, and Bayesian Poisson Tree Processes) were performed to accurately identify and delineate species. The genetic distance-based analyses resulted in 163 well-separated clusters consisting of 147 described and 16 unidentified species. Our findings indicate that about 90.20% of the butterfly species were explicitly discriminated using DNA barcodes. Also, our field collections reported the first country records of ten butterfly species—
Acraea serena
,
Amauris
cf.
dannfelti
,
Aterica galena extensa
,
Axione tjoane rubescens
,
Charaxes galleyanus
,
Papilio lormieri lormeri
,
Pentila alba
,
Precis actia
,
Precis tugela,
and
Tagiades flesus
. Further, DNA barcodes revealed a high mitochondrial intraspecific divergence of more than 3% in
Bicyclus vulgaris vulgaris
and
Colotis evagore
. Furthermore, our result revealed an overall high haplotype (gene) diversity (0.9764), suggesting that DNA barcoding can provide information at a population level for Nigerian butterflies. The present study confirms the efficiency of DNA barcoding for identifying butterflies from Nigeria. To gain a better understanding of regional variation in DNA barcodes of this biogeographically complex area, future work should expand the DNA barcode reference library to include all butterfly species from Nigeria as well as surrounding countries. Also, further studies, involving relevant genetic and eco-morphological datasets, are required to understand processes governing mitochondrial intraspecific divergences reported in some species complexes.</description><subject>Animal Anatomy</subject><subject>Animal Biochemistry</subject><subject>Bayesian analysis</subject><subject>Biodiversity</subject><subject>Biomedical and Life Sciences</subject><subject>Butterflies & moths</subject><subject>Cytochrome-c oxidase</subject><subject>Deoxyribonucleic acid</subject><subject>Divergence</subject><subject>DNA</subject><subject>DNA barcoding</subject><subject>Genera</subject><subject>Genetic analysis</subject><subject>Genetic distance</subject><subject>Haplotypes</subject><subject>Histology</subject><subject>Life Sciences</subject><subject>Mitochondria</subject><subject>Morphology</subject><subject>Nucleotide sequence</subject><subject>Original Article</subject><subject>Species</subject><issn>0301-4851</issn><issn>1573-4978</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE1LxDAURYMoOI7-AVcBN-Mims-2WQ7jJwyjC12HtEmGDG1Tk3bhvzfjCIILVw_eO_dxOQBcEnxDMC5vEyGYMYQpRljIiiNxBGZElAxxWVbHYIYZJohXgpyCs5R2GGNOSjEDr3ebJax1bILx_Rbq3sA02MbbBI1tfedHPfrQw-BgPY2jja7d3xZrO3gThrzQ19DF0MGN39ro9Tk4cbpN9uJnzsH7w_3b6gmtXx6fV8s1apigI6oNs9LVguncu-DCkUKKyghTS6up4LpuXOOo1Q3FVe5KJKMZ0FJYogsj2RwsDn-HGD4mm0bV-dTYttW9DVNSlBeEyapkPKNXf9BdmGKf2ykqyrLknJEqU_RANTGkFK1TQ_Sdjp-KYLWXrA6SVZasviUrkUPsEEoZ7rOA39f_pL4AQ6p-Ug</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Nneji, Lotanna Micah</creator><creator>Adeola, Adeniyi Charles</creator><creator>Ayoola, Adeola Oluwakemi</creator><creator>Oladipo, Segun Olayinka</creator><creator>Wang, Yun-Yu</creator><creator>Malann, Yoila D.</creator><creator>Anyaele, Okorie</creator><creator>Nneji, Ifeanyi Christopher</creator><creator>Rahman, Md Mizanur</creator><creator>Olory, Caroline Samuel</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1422-1683</orcidid></search><sort><creationdate>20201201</creationdate><title>DNA barcoding and species delimitation of butterflies (Lepidoptera) from Nigeria</title><author>Nneji, Lotanna Micah ; Adeola, Adeniyi Charles ; Ayoola, Adeola Oluwakemi ; Oladipo, Segun Olayinka ; Wang, Yun-Yu ; Malann, Yoila D. ; Anyaele, Okorie ; Nneji, Ifeanyi Christopher ; Rahman, Md Mizanur ; Olory, Caroline Samuel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-bd3e9fb53a033645f16958d5db9ea254abcfcf2eac2080411932958a95e1a6d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animal Anatomy</topic><topic>Animal Biochemistry</topic><topic>Bayesian analysis</topic><topic>Biodiversity</topic><topic>Biomedical and Life Sciences</topic><topic>Butterflies & moths</topic><topic>Cytochrome-c oxidase</topic><topic>Deoxyribonucleic acid</topic><topic>Divergence</topic><topic>DNA</topic><topic>DNA barcoding</topic><topic>Genera</topic><topic>Genetic analysis</topic><topic>Genetic distance</topic><topic>Haplotypes</topic><topic>Histology</topic><topic>Life Sciences</topic><topic>Mitochondria</topic><topic>Morphology</topic><topic>Nucleotide sequence</topic><topic>Original Article</topic><topic>Species</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nneji, Lotanna Micah</creatorcontrib><creatorcontrib>Adeola, Adeniyi Charles</creatorcontrib><creatorcontrib>Ayoola, Adeola Oluwakemi</creatorcontrib><creatorcontrib>Oladipo, Segun Olayinka</creatorcontrib><creatorcontrib>Wang, Yun-Yu</creatorcontrib><creatorcontrib>Malann, Yoila D.</creatorcontrib><creatorcontrib>Anyaele, Okorie</creatorcontrib><creatorcontrib>Nneji, Ifeanyi Christopher</creatorcontrib><creatorcontrib>Rahman, Md Mizanur</creatorcontrib><creatorcontrib>Olory, Caroline Samuel</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids 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Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular biology reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nneji, Lotanna Micah</au><au>Adeola, Adeniyi Charles</au><au>Ayoola, Adeola Oluwakemi</au><au>Oladipo, Segun Olayinka</au><au>Wang, Yun-Yu</au><au>Malann, Yoila D.</au><au>Anyaele, Okorie</au><au>Nneji, Ifeanyi Christopher</au><au>Rahman, Md Mizanur</au><au>Olory, Caroline Samuel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DNA barcoding and species delimitation of butterflies (Lepidoptera) from Nigeria</atitle><jtitle>Molecular biology reports</jtitle><stitle>Mol Biol Rep</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>47</volume><issue>12</issue><spage>9441</spage><epage>9457</epage><pages>9441-9457</pages><issn>0301-4851</issn><eissn>1573-4978</eissn><abstract>Accurate identification of species is a prerequisite for successful biodiversity management and further genetic studies. Species identification techniques often require both morphological diagnostics and molecular tools, such as DNA barcoding, for correct identification. In particular, the use of the subunit I of the mitochondrial
cytochrome c oxidase
(COI) gene for DNA barcoding has proven useful in species identification for insects. However, to date, no studies have been carried out on the DNA barcoding of Nigerian butterflies. We evaluated the utility of DNA barcoding applied for the first time to 735 butterfly specimens from southern Nigeria. In total, 699 DNA barcodes, resulting in a record of 116 species belonging to 57 genera, were generated. Our study sample comprised 807 DNA barcodes based on sequences generated from our current study and 108 others retrieved from BOLD. Different molecular analyses, including genetic distance-based evaluation (Neighbor-Joining, Maximum Likelihood and Bayesian trees) and species delimitation tests (TaxonDNA, Automated Barcode Gap Discovery, General Mixed Yule-Coalescent, and Bayesian Poisson Tree Processes) were performed to accurately identify and delineate species. The genetic distance-based analyses resulted in 163 well-separated clusters consisting of 147 described and 16 unidentified species. Our findings indicate that about 90.20% of the butterfly species were explicitly discriminated using DNA barcodes. Also, our field collections reported the first country records of ten butterfly species—
Acraea serena
,
Amauris
cf.
dannfelti
,
Aterica galena extensa
,
Axione tjoane rubescens
,
Charaxes galleyanus
,
Papilio lormieri lormeri
,
Pentila alba
,
Precis actia
,
Precis tugela,
and
Tagiades flesus
. Further, DNA barcodes revealed a high mitochondrial intraspecific divergence of more than 3% in
Bicyclus vulgaris vulgaris
and
Colotis evagore
. Furthermore, our result revealed an overall high haplotype (gene) diversity (0.9764), suggesting that DNA barcoding can provide information at a population level for Nigerian butterflies. The present study confirms the efficiency of DNA barcoding for identifying butterflies from Nigeria. To gain a better understanding of regional variation in DNA barcodes of this biogeographically complex area, future work should expand the DNA barcode reference library to include all butterfly species from Nigeria as well as surrounding countries. Also, further studies, involving relevant genetic and eco-morphological datasets, are required to understand processes governing mitochondrial intraspecific divergences reported in some species complexes.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11033-020-05984-5</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-1422-1683</orcidid></addata></record> |
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subjects | Animal Anatomy Animal Biochemistry Bayesian analysis Biodiversity Biomedical and Life Sciences Butterflies & moths Cytochrome-c oxidase Deoxyribonucleic acid Divergence DNA DNA barcoding Genera Genetic analysis Genetic distance Haplotypes Histology Life Sciences Mitochondria Morphology Nucleotide sequence Original Article Species |
title | DNA barcoding and species delimitation of butterflies (Lepidoptera) from Nigeria |
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