Genetic diversity assessment of Fusarium oxysporum f. sp ciceris isolates of Indian chickpea fields as revealed by the SRAP marker system
An experiment was conducted to study the precise geographical distribution and racial complexity of Fusarium oxysporum f.sp ciceris (Foc) isolates representing 12 states of 4 agro-climatic zones of India at morphological, pathogenic and molecular level. The DNA based sequence related amplified polym...
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Veröffentlicht in: | Journal of environmental biology 2016-11, Vol.37 (6), p.1291-1291 |
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description | An experiment was conducted to study the precise geographical distribution and racial complexity of Fusarium oxysporum f.sp ciceris (Foc) isolates representing 12 states of 4 agro-climatic zones of India at morphological, pathogenic and molecular level. The DNA based sequence related amplified polymorphism (SRAP) markers was employed to differentiate Foc isolates at genome level. The genotypic data output of the isolates was examined for diversity parameter as marker's Polymorphic percentage (PM %), Polymorphic Information Content (PIC), Marker Index (MI) and Gene Diversity Index (DI). As a result, 15 primers used in this study could generated total of 154 reproducible alleles ranging from 100-2100 bp (average allele per marker 10.26) in size, of that 149 (97%) were found to be polymorphic. The neighbor-joining analysis effectively classified the isolates of North East Plain Zone (NEPZ), Central Zone (CZ), North West Plain Zone (NWPZ) and South Zone (SZ) into four clusters. In summary, DNA based marker analysis could differentiate as per isolates geographical location, however pathogenic interaction of isolates from same geographical location could not match the genetic differentiation. Accordingly, considering the present complexity in racial profile, precise classification based on homologs virulence genes specific to races would give a more meaningful in correlating isolates with their native geographical distribution and helps in future resistance breeding programs for sustainable management of vascular wilt disease. |
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The DNA based sequence related amplified polymorphism (SRAP) markers was employed to differentiate Foc isolates at genome level. The genotypic data output of the isolates was examined for diversity parameter as marker's Polymorphic percentage (PM %), Polymorphic Information Content (PIC), Marker Index (MI) and Gene Diversity Index (DI). As a result, 15 primers used in this study could generated total of 154 reproducible alleles ranging from 100-2100 bp (average allele per marker 10.26) in size, of that 149 (97%) were found to be polymorphic. The neighbor-joining analysis effectively classified the isolates of North East Plain Zone (NEPZ), Central Zone (CZ), North West Plain Zone (NWPZ) and South Zone (SZ) into four clusters. In summary, DNA based marker analysis could differentiate as per isolates geographical location, however pathogenic interaction of isolates from same geographical location could not match the genetic differentiation. Accordingly, considering the present complexity in racial profile, precise classification based on homologs virulence genes specific to races would give a more meaningful in correlating isolates with their native geographical distribution and helps in future resistance breeding programs for sustainable management of vascular wilt disease.</description><identifier>ISSN: 0254-8704</identifier><identifier>EISSN: 2394-0379</identifier><identifier>PMID: 29257654</identifier><language>eng</language><publisher>India: Triveni Enterprises</publisher><subject>Cicer - microbiology ; Cicer arietinum ; Climatic zones ; Deoxyribonucleic acid ; DNA ; Environmental science ; Fusarium - genetics ; Fusarium oxysporum ; Genetic diversity ; Genetic Markers ; Genetic Variation ; Geographical distribution ; India ; Nucleic Acid Amplification Techniques ; Plant Diseases - microbiology ; Sustainability management</subject><ispartof>Journal of environmental biology, 2016-11, Vol.37 (6), p.1291-1291</ispartof><rights>Copyright Triveni Enterprises Nov 2016</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29257654$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Soren, K R</creatorcontrib><creatorcontrib>Gangwar, Priyanka</creatorcontrib><creatorcontrib>Khatterwani, Payal</creatorcontrib><creatorcontrib>Chaudhary, Ram Ganesh</creatorcontrib><creatorcontrib>Datta, Subhojit</creatorcontrib><title>Genetic diversity assessment of Fusarium oxysporum f. sp ciceris isolates of Indian chickpea fields as revealed by the SRAP marker system</title><title>Journal of environmental biology</title><addtitle>J Environ Biol</addtitle><description>An experiment was conducted to study the precise geographical distribution and racial complexity of Fusarium oxysporum f.sp ciceris (Foc) isolates representing 12 states of 4 agro-climatic zones of India at morphological, pathogenic and molecular level. The DNA based sequence related amplified polymorphism (SRAP) markers was employed to differentiate Foc isolates at genome level. The genotypic data output of the isolates was examined for diversity parameter as marker's Polymorphic percentage (PM %), Polymorphic Information Content (PIC), Marker Index (MI) and Gene Diversity Index (DI). As a result, 15 primers used in this study could generated total of 154 reproducible alleles ranging from 100-2100 bp (average allele per marker 10.26) in size, of that 149 (97%) were found to be polymorphic. The neighbor-joining analysis effectively classified the isolates of North East Plain Zone (NEPZ), Central Zone (CZ), North West Plain Zone (NWPZ) and South Zone (SZ) into four clusters. In summary, DNA based marker analysis could differentiate as per isolates geographical location, however pathogenic interaction of isolates from same geographical location could not match the genetic differentiation. Accordingly, considering the present complexity in racial profile, precise classification based on homologs virulence genes specific to races would give a more meaningful in correlating isolates with their native geographical distribution and helps in future resistance breeding programs for sustainable management of vascular wilt disease.</description><subject>Cicer - microbiology</subject><subject>Cicer arietinum</subject><subject>Climatic zones</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Environmental science</subject><subject>Fusarium - genetics</subject><subject>Fusarium oxysporum</subject><subject>Genetic diversity</subject><subject>Genetic Markers</subject><subject>Genetic Variation</subject><subject>Geographical distribution</subject><subject>India</subject><subject>Nucleic Acid Amplification Techniques</subject><subject>Plant Diseases - microbiology</subject><subject>Sustainability management</subject><issn>0254-8704</issn><issn>2394-0379</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqF0c1KxDAQB_AiirusvoIEvHippEnTaY6y6LogKH6cS5pOMdovM63YR_CtjbhevDiX_xx-DMzMXrQUUqcxl6D3oyUXKo1z4OkiOiZ64aGkFqD0YbQQWijIVLqMPjfY4egsq9w7enLjzAwRErXYjayv2dVExrupZf3HTEPvQ1efMxqYdRa9I-aob8yI9I23XeVMx-yzs68DGlY7bCoKE5nHdzQNVqyc2fiM7OH-4o61xr-iZzTTiO1RdFCbhvB4l6vo6erycX0d39xutuuLm3gQIMa4yiCrq1KDNUqUkHAjs6SukWutJBgoIS0t11IqYxNjNZe14gpzUQmRh5Cr6Oxn7uD7twlpLFpHFpvGdNhPVCQadJJlHJL_aQ6QSw5KBXr6h770k-_CIkFlucgzkHlQJzs1lS1WxeBduMFc_P5DfgEUkYjM</recordid><startdate>201611</startdate><enddate>201611</enddate><creator>Soren, K R</creator><creator>Gangwar, Priyanka</creator><creator>Khatterwani, Payal</creator><creator>Chaudhary, Ram Ganesh</creator><creator>Datta, Subhojit</creator><general>Triveni Enterprises</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>04Q</scope><scope>04W</scope><scope>3V.</scope><scope>7ST</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>201611</creationdate><title>Genetic diversity assessment of Fusarium oxysporum f. sp ciceris isolates of Indian chickpea fields as revealed by the SRAP marker system</title><author>Soren, K R ; Gangwar, Priyanka ; Khatterwani, Payal ; Chaudhary, Ram Ganesh ; Datta, Subhojit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p272t-d676fdb97ca52b710a361ffe099537a7b74bc09335ac1ac903f505e82d228e823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Cicer - microbiology</topic><topic>Cicer arietinum</topic><topic>Climatic zones</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Environmental science</topic><topic>Fusarium - genetics</topic><topic>Fusarium oxysporum</topic><topic>Genetic diversity</topic><topic>Genetic Markers</topic><topic>Genetic Variation</topic><topic>Geographical distribution</topic><topic>India</topic><topic>Nucleic Acid Amplification Techniques</topic><topic>Plant Diseases - microbiology</topic><topic>Sustainability management</topic><toplevel>online_resources</toplevel><creatorcontrib>Soren, K R</creatorcontrib><creatorcontrib>Gangwar, Priyanka</creatorcontrib><creatorcontrib>Khatterwani, Payal</creatorcontrib><creatorcontrib>Chaudhary, Ram Ganesh</creatorcontrib><creatorcontrib>Datta, Subhojit</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>India Database</collection><collection>India Database: Science & Technology</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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 & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of environmental biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soren, K R</au><au>Gangwar, Priyanka</au><au>Khatterwani, Payal</au><au>Chaudhary, Ram Ganesh</au><au>Datta, Subhojit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic diversity assessment of Fusarium oxysporum f. sp ciceris isolates of Indian chickpea fields as revealed by the SRAP marker system</atitle><jtitle>Journal of environmental biology</jtitle><addtitle>J Environ Biol</addtitle><date>2016-11</date><risdate>2016</risdate><volume>37</volume><issue>6</issue><spage>1291</spage><epage>1291</epage><pages>1291-1291</pages><issn>0254-8704</issn><eissn>2394-0379</eissn><abstract>An experiment was conducted to study the precise geographical distribution and racial complexity of Fusarium oxysporum f.sp ciceris (Foc) isolates representing 12 states of 4 agro-climatic zones of India at morphological, pathogenic and molecular level. The DNA based sequence related amplified polymorphism (SRAP) markers was employed to differentiate Foc isolates at genome level. The genotypic data output of the isolates was examined for diversity parameter as marker's Polymorphic percentage (PM %), Polymorphic Information Content (PIC), Marker Index (MI) and Gene Diversity Index (DI). As a result, 15 primers used in this study could generated total of 154 reproducible alleles ranging from 100-2100 bp (average allele per marker 10.26) in size, of that 149 (97%) were found to be polymorphic. The neighbor-joining analysis effectively classified the isolates of North East Plain Zone (NEPZ), Central Zone (CZ), North West Plain Zone (NWPZ) and South Zone (SZ) into four clusters. In summary, DNA based marker analysis could differentiate as per isolates geographical location, however pathogenic interaction of isolates from same geographical location could not match the genetic differentiation. Accordingly, considering the present complexity in racial profile, precise classification based on homologs virulence genes specific to races would give a more meaningful in correlating isolates with their native geographical distribution and helps in future resistance breeding programs for sustainable management of vascular wilt disease.</abstract><cop>India</cop><pub>Triveni Enterprises</pub><pmid>29257654</pmid><tpages>1</tpages></addata></record> |
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subjects | Cicer - microbiology Cicer arietinum Climatic zones Deoxyribonucleic acid DNA Environmental science Fusarium - genetics Fusarium oxysporum Genetic diversity Genetic Markers Genetic Variation Geographical distribution India Nucleic Acid Amplification Techniques Plant Diseases - microbiology Sustainability management |
title | Genetic diversity assessment of Fusarium oxysporum f. sp ciceris isolates of Indian chickpea fields as revealed by the SRAP marker system |
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