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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Molecular biology reports 2020-12, Vol.47 (12), p.9441-9457
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 9457
container_issue 12
container_start_page 9441
container_title Molecular biology reports
container_volume 47
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2461398734</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2461398734</sourcerecordid><originalsourceid>FETCH-LOGICAL-c352t-bd3e9fb53a033645f16958d5db9ea254abcfcf2eac2080411932958a95e1a6d93</originalsourceid><addsrcrecordid>eNp9kE1LxDAURYMoOI7-AVcBN-Mims-2WQ7jJwyjC12HtEmGDG1Tk3bhvzfjCIILVw_eO_dxOQBcEnxDMC5vEyGYMYQpRljIiiNxBGZElAxxWVbHYIYZJohXgpyCs5R2GGNOSjEDr3ebJax1bILx_Rbq3sA02MbbBI1tfedHPfrQw-BgPY2jja7d3xZrO3gThrzQ19DF0MGN39ro9Tk4cbpN9uJnzsH7w_3b6gmtXx6fV8s1apigI6oNs9LVguncu-DCkUKKyghTS6up4LpuXOOo1Q3FVe5KJKMZ0FJYogsj2RwsDn-HGD4mm0bV-dTYttW9DVNSlBeEyapkPKNXf9BdmGKf2ykqyrLknJEqU_RANTGkFK1TQ_Sdjp-KYLWXrA6SVZasviUrkUPsEEoZ7rOA39f_pL4AQ6p-Ug</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2577744318</pqid></control><display><type>article</type><title>DNA barcoding and species delimitation of butterflies (Lepidoptera) from Nigeria</title><source>SpringerLink Journals - AutoHoldings</source><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</creator><creatorcontrib>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</creatorcontrib><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><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 &amp; 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 &amp; 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 &amp; 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 Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One 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>
fulltext fulltext
identifier ISSN: 0301-4851
ispartof Molecular biology reports, 2020-12, Vol.47 (12), p.9441-9457
issn 0301-4851
1573-4978
language eng
recordid cdi_proquest_miscellaneous_2461398734
source SpringerLink Journals - AutoHoldings
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T08%3A23%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=DNA%20barcoding%20and%20species%20delimitation%20of%20butterflies%20(Lepidoptera)%20from%20Nigeria&rft.jtitle=Molecular%20biology%20reports&rft.au=Nneji,%20Lotanna%20Micah&rft.date=2020-12-01&rft.volume=47&rft.issue=12&rft.spage=9441&rft.epage=9457&rft.pages=9441-9457&rft.issn=0301-4851&rft.eissn=1573-4978&rft_id=info:doi/10.1007/s11033-020-05984-5&rft_dat=%3Cproquest_cross%3E2461398734%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2577744318&rft_id=info:pmid/&rfr_iscdi=true