A polyphasic approach to delineate species in Bipolaris
Bipolaris species are important plant pathogens with a worldwide distribution in tropical and temperate environments. Species recognition in Bipolaris has been problematic due to a lack of molecular data from ex-type cultures, the use of few gene regions for species resolution and overlapping morpho...
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Veröffentlicht in: | Fungal diversity 2020-05, Vol.102 (1), p.225-256 |
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creator | Bhunjun, Chitrabhanu S. Dong, Yang Jayawardena, Ruvishika S. Jeewon, Rajesh Phukhamsakda, Chayanard Bundhun, Digvijayini Hyde, Kevin D. Sheng, Jun |
description | Bipolaris
species are important plant pathogens with a worldwide distribution in tropical and temperate environments. Species recognition in
Bipolaris
has been problematic due to a lack of molecular data from ex-type cultures, the use of few gene regions for species resolution and overlapping morphological characters. In this study, we evaluate the efficiency of different DNA barcodes in species delimitation in
Bipolaris
by phylogenetic analyses, Automatic Barcode Gap Discovery and Objective Clustering. GAPDH is determined to be the best single marker for the genus. These approaches are used to clarify the taxonomic placement of all sequences currently named as
Bipolaris
in GenBank based on ITS and GAPDH gene sequence data. In checking various publications, we found that the majority of new host records of fungal species published in the Plant Disease journal from 2010 to 2019 were based on BLAST searches of the ITS sequences and up to 82% of those records could be erroneous. Therefore, relying on BLAST searches from GenBank to name species is not recommended. Editorial boards of journals and reviewers of new record papers should be aware of this problem. In naming
Bipolaris
species, whether new or known, it is recommended to perform phylogenetic analyses based on GAPDH using the correct taxon sampling for accurate results and the species relationship should have reliable statistical support. At least two new species are represented by molecular data in GenBank and we provide an updated taxonomic revision of
Bipolaris
. We accept 45 species in
Bipolaris
and notes are provided for all the species including hosts and geographic distribution. |
doi_str_mv | 10.1007/s13225-020-00446-6 |
format | Article |
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species are important plant pathogens with a worldwide distribution in tropical and temperate environments. Species recognition in
Bipolaris
has been problematic due to a lack of molecular data from ex-type cultures, the use of few gene regions for species resolution and overlapping morphological characters. In this study, we evaluate the efficiency of different DNA barcodes in species delimitation in
Bipolaris
by phylogenetic analyses, Automatic Barcode Gap Discovery and Objective Clustering. GAPDH is determined to be the best single marker for the genus. These approaches are used to clarify the taxonomic placement of all sequences currently named as
Bipolaris
in GenBank based on ITS and GAPDH gene sequence data. In checking various publications, we found that the majority of new host records of fungal species published in the Plant Disease journal from 2010 to 2019 were based on BLAST searches of the ITS sequences and up to 82% of those records could be erroneous. Therefore, relying on BLAST searches from GenBank to name species is not recommended. Editorial boards of journals and reviewers of new record papers should be aware of this problem. In naming
Bipolaris
species, whether new or known, it is recommended to perform phylogenetic analyses based on GAPDH using the correct taxon sampling for accurate results and the species relationship should have reliable statistical support. At least two new species are represented by molecular data in GenBank and we provide an updated taxonomic revision of
Bipolaris
. We accept 45 species in
Bipolaris
and notes are provided for all the species including hosts and geographic distribution.</description><identifier>ISSN: 1560-2745</identifier><identifier>EISSN: 1878-9129</identifier><identifier>DOI: 10.1007/s13225-020-00446-6</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Bar codes ; Biodiversity ; Biomedical and Life Sciences ; Clustering ; Deoxyribonucleic acid ; DNA ; Gene sequencing ; Geographical distribution ; Glyceraldehyde-3-phosphate dehydrogenase ; Life Sciences ; Medical Microbiology ; Microbial Ecology ; Microbiology ; Mycology ; New records ; New species ; Phylogenetics ; Phylogeny ; Plant diseases ; Plant Physiology ; Searching ; Taxonomic revision ; Taxonomy ; Temperate environments</subject><ispartof>Fungal diversity, 2020-05, Vol.102 (1), p.225-256</ispartof><rights>MUSHROOM RESEARCH FOUNDATION 2020</rights><rights>MUSHROOM RESEARCH FOUNDATION 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-d795b57245ffa23b74babb50269d0e6b9f152dbf84d38b6206d7cf14db0361513</citedby><cites>FETCH-LOGICAL-c385t-d795b57245ffa23b74babb50269d0e6b9f152dbf84d38b6206d7cf14db0361513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13225-020-00446-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13225-020-00446-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Bhunjun, Chitrabhanu S.</creatorcontrib><creatorcontrib>Dong, Yang</creatorcontrib><creatorcontrib>Jayawardena, Ruvishika S.</creatorcontrib><creatorcontrib>Jeewon, Rajesh</creatorcontrib><creatorcontrib>Phukhamsakda, Chayanard</creatorcontrib><creatorcontrib>Bundhun, Digvijayini</creatorcontrib><creatorcontrib>Hyde, Kevin D.</creatorcontrib><creatorcontrib>Sheng, Jun</creatorcontrib><title>A polyphasic approach to delineate species in Bipolaris</title><title>Fungal diversity</title><addtitle>Fungal Diversity</addtitle><description>Bipolaris
species are important plant pathogens with a worldwide distribution in tropical and temperate environments. Species recognition in
Bipolaris
has been problematic due to a lack of molecular data from ex-type cultures, the use of few gene regions for species resolution and overlapping morphological characters. In this study, we evaluate the efficiency of different DNA barcodes in species delimitation in
Bipolaris
by phylogenetic analyses, Automatic Barcode Gap Discovery and Objective Clustering. GAPDH is determined to be the best single marker for the genus. These approaches are used to clarify the taxonomic placement of all sequences currently named as
Bipolaris
in GenBank based on ITS and GAPDH gene sequence data. In checking various publications, we found that the majority of new host records of fungal species published in the Plant Disease journal from 2010 to 2019 were based on BLAST searches of the ITS sequences and up to 82% of those records could be erroneous. Therefore, relying on BLAST searches from GenBank to name species is not recommended. Editorial boards of journals and reviewers of new record papers should be aware of this problem. In naming
Bipolaris
species, whether new or known, it is recommended to perform phylogenetic analyses based on GAPDH using the correct taxon sampling for accurate results and the species relationship should have reliable statistical support. At least two new species are represented by molecular data in GenBank and we provide an updated taxonomic revision of
Bipolaris
. We accept 45 species in
Bipolaris
and notes are provided for all the species including hosts and geographic distribution.</description><subject>Bar codes</subject><subject>Biodiversity</subject><subject>Biomedical and Life Sciences</subject><subject>Clustering</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Gene sequencing</subject><subject>Geographical distribution</subject><subject>Glyceraldehyde-3-phosphate dehydrogenase</subject><subject>Life Sciences</subject><subject>Medical Microbiology</subject><subject>Microbial Ecology</subject><subject>Microbiology</subject><subject>Mycology</subject><subject>New records</subject><subject>New species</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Plant diseases</subject><subject>Plant Physiology</subject><subject>Searching</subject><subject>Taxonomic revision</subject><subject>Taxonomy</subject><subject>Temperate environments</subject><issn>1560-2745</issn><issn>1878-9129</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQhi0EEhX0DzBZYjacv52xVHxJlVhgtuzYpqlKEux06L_HECQ2brkbnvfu9CB0ReGGAujbQjljkgADAiCEIuoELajRhjSUNad1lgoI00Keo2UpO6jFqVACFkiv8Djsj-PWla7Fbhzz4NotngYc4r7ro5siLmNsu1hw1-O7rtIud-USnSW3L3H52y_Q28P96_qJbF4en9erDWm5kRMJupFeaiZkSo5xr4V33ktgqgkQlW8SlSz4ZETgxisGKug2URE8cEUl5Rfoet5bH_s8xDLZ3XDIfT1pmWDKUNoIUyk2U20eSskx2TF3Hy4fLQX77cjOjmx1ZH8cWVVDfA6VCvfvMf-t_if1Bf-XZ_Q</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Bhunjun, Chitrabhanu S.</creator><creator>Dong, Yang</creator><creator>Jayawardena, Ruvishika S.</creator><creator>Jeewon, Rajesh</creator><creator>Phukhamsakda, Chayanard</creator><creator>Bundhun, Digvijayini</creator><creator>Hyde, Kevin D.</creator><creator>Sheng, Jun</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7TM</scope><scope>C1K</scope><scope>M7N</scope></search><sort><creationdate>20200501</creationdate><title>A polyphasic approach to delineate species in Bipolaris</title><author>Bhunjun, Chitrabhanu S. ; Dong, Yang ; Jayawardena, Ruvishika S. ; Jeewon, Rajesh ; Phukhamsakda, Chayanard ; Bundhun, Digvijayini ; Hyde, Kevin D. ; Sheng, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-d795b57245ffa23b74babb50269d0e6b9f152dbf84d38b6206d7cf14db0361513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bar codes</topic><topic>Biodiversity</topic><topic>Biomedical and Life Sciences</topic><topic>Clustering</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Gene sequencing</topic><topic>Geographical distribution</topic><topic>Glyceraldehyde-3-phosphate dehydrogenase</topic><topic>Life Sciences</topic><topic>Medical Microbiology</topic><topic>Microbial Ecology</topic><topic>Microbiology</topic><topic>Mycology</topic><topic>New records</topic><topic>New species</topic><topic>Phylogenetics</topic><topic>Phylogeny</topic><topic>Plant diseases</topic><topic>Plant Physiology</topic><topic>Searching</topic><topic>Taxonomic revision</topic><topic>Taxonomy</topic><topic>Temperate environments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bhunjun, Chitrabhanu S.</creatorcontrib><creatorcontrib>Dong, Yang</creatorcontrib><creatorcontrib>Jayawardena, Ruvishika S.</creatorcontrib><creatorcontrib>Jeewon, Rajesh</creatorcontrib><creatorcontrib>Phukhamsakda, Chayanard</creatorcontrib><creatorcontrib>Bundhun, Digvijayini</creatorcontrib><creatorcontrib>Hyde, Kevin D.</creatorcontrib><creatorcontrib>Sheng, Jun</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><jtitle>Fungal diversity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bhunjun, Chitrabhanu S.</au><au>Dong, Yang</au><au>Jayawardena, Ruvishika S.</au><au>Jeewon, Rajesh</au><au>Phukhamsakda, Chayanard</au><au>Bundhun, Digvijayini</au><au>Hyde, Kevin D.</au><au>Sheng, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A polyphasic approach to delineate species in Bipolaris</atitle><jtitle>Fungal diversity</jtitle><stitle>Fungal Diversity</stitle><date>2020-05-01</date><risdate>2020</risdate><volume>102</volume><issue>1</issue><spage>225</spage><epage>256</epage><pages>225-256</pages><issn>1560-2745</issn><eissn>1878-9129</eissn><abstract>Bipolaris
species are important plant pathogens with a worldwide distribution in tropical and temperate environments. Species recognition in
Bipolaris
has been problematic due to a lack of molecular data from ex-type cultures, the use of few gene regions for species resolution and overlapping morphological characters. In this study, we evaluate the efficiency of different DNA barcodes in species delimitation in
Bipolaris
by phylogenetic analyses, Automatic Barcode Gap Discovery and Objective Clustering. GAPDH is determined to be the best single marker for the genus. These approaches are used to clarify the taxonomic placement of all sequences currently named as
Bipolaris
in GenBank based on ITS and GAPDH gene sequence data. In checking various publications, we found that the majority of new host records of fungal species published in the Plant Disease journal from 2010 to 2019 were based on BLAST searches of the ITS sequences and up to 82% of those records could be erroneous. Therefore, relying on BLAST searches from GenBank to name species is not recommended. Editorial boards of journals and reviewers of new record papers should be aware of this problem. In naming
Bipolaris
species, whether new or known, it is recommended to perform phylogenetic analyses based on GAPDH using the correct taxon sampling for accurate results and the species relationship should have reliable statistical support. At least two new species are represented by molecular data in GenBank and we provide an updated taxonomic revision of
Bipolaris
. We accept 45 species in
Bipolaris
and notes are provided for all the species including hosts and geographic distribution.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s13225-020-00446-6</doi><tpages>32</tpages></addata></record> |
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subjects | Bar codes Biodiversity Biomedical and Life Sciences Clustering Deoxyribonucleic acid DNA Gene sequencing Geographical distribution Glyceraldehyde-3-phosphate dehydrogenase Life Sciences Medical Microbiology Microbial Ecology Microbiology Mycology New records New species Phylogenetics Phylogeny Plant diseases Plant Physiology Searching Taxonomic revision Taxonomy Temperate environments |
title | A polyphasic approach to delineate species in Bipolaris |
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