Loading…

STUDY OF GENETIC VARIABILITY OF TRITICALE VARIETIES BY SSR MARKERS

For the detection of genetic variability ten genotypes of winter triticale (×Triticosecale Wittmack, 2n = 6x = 42; BBAARR) were selected: nine varieties and one breeding line with good bread-making quality KM 4-09 with the chromosome translocation 1R.1D 5+10-2. 25 microsatellites markers located in...

Full description

Saved in:
Bibliographic Details
Published in:Journal of microbiology, biotechnology and food sciences biotechnology and food sciences, 2013-04, Vol.2 (5), p.2366-2368
Main Authors: Ondrouskova, Jana, Vyhnanek, Tomas
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 2368
container_issue 5
container_start_page 2366
container_title Journal of microbiology, biotechnology and food sciences
container_volume 2
creator Ondrouskova, Jana
Vyhnanek, Tomas
description For the detection of genetic variability ten genotypes of winter triticale (×Triticosecale Wittmack, 2n = 6x = 42; BBAARR) were selected: nine varieties and one breeding line with good bread-making quality KM 4-09 with the chromosome translocation 1R.1D 5+10-2. 25 microsatellites markers located in the genome A, B, D and R were chosen for analysis. Eighty-four alleles were detected with an average of 3.36 alleles per locus were detected. For each microsatellite statistical values were calculated diversity index (DI), probabilities of identity (PI) and polymorphic information content (PIC) were calculated and averages statistical values are: DI 0.55, PI 0.27 and 0.5 PIC. Overall dendrogram based on the UPGMA method (Jaccards similarity coefficient) significantly distinguished two groups of genotypes and these groups were divided into sub-clusters. A set of 5 SSR markers (Xwms0752, Xbarc128, Xrems1237, Xwms0861 and Xbrac170) which have the calculated PIC value higher than 0.68 that are sufficient for the identification of the analyzed genotypes was described.
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1694969263</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1694969263</sourcerecordid><originalsourceid>FETCH-LOGICAL-p146t-a4cf34c42a0955ca31d27bb5cd2ba296db201534526f5cdb64b565d3d4c46e273</originalsourceid><addsrcrecordid>eNpdjk1Lw0AURQdBsNT-hwE3bgKZz2SWSZ3WwWghkwpdlfkKWGJTO83_d6yufJsH5577eDdghggpM4aK8g4sYjzkabgoMGMzUOtu-7SDmxVcyzfZqSV8r1pV1apR3RV3rUq0auQ1SIbUsN5BrVv4WrUvstX34LY3QwyLvz0H25Xsls9Zs1n_NLMTovySGep6Qh3FJheMOUOQx4W1zHlsDRbcW5wjRijDvE_QcmoZZ5741OEBF2QOHn_vns7j1xTiZf_5EV0YBnMM4xT3iAsquMCcJPXhn3oYp_MxfZcsWuYlwkKQb8pLTPY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1648081299</pqid></control><display><type>article</type><title>STUDY OF GENETIC VARIABILITY OF TRITICALE VARIETIES BY SSR MARKERS</title><source>Publicly Available Content Database</source><creator>Ondrouskova, Jana ; Vyhnanek, Tomas</creator><creatorcontrib>Ondrouskova, Jana ; Vyhnanek, Tomas</creatorcontrib><description>For the detection of genetic variability ten genotypes of winter triticale (×Triticosecale Wittmack, 2n = 6x = 42; BBAARR) were selected: nine varieties and one breeding line with good bread-making quality KM 4-09 with the chromosome translocation 1R.1D 5+10-2. 25 microsatellites markers located in the genome A, B, D and R were chosen for analysis. Eighty-four alleles were detected with an average of 3.36 alleles per locus were detected. For each microsatellite statistical values were calculated diversity index (DI), probabilities of identity (PI) and polymorphic information content (PIC) were calculated and averages statistical values are: DI 0.55, PI 0.27 and 0.5 PIC. Overall dendrogram based on the UPGMA method (Jaccards similarity coefficient) significantly distinguished two groups of genotypes and these groups were divided into sub-clusters. A set of 5 SSR markers (Xwms0752, Xbarc128, Xrems1237, Xwms0861 and Xbrac170) which have the calculated PIC value higher than 0.68 that are sufficient for the identification of the analyzed genotypes was described.</description><identifier>EISSN: 1338-5178</identifier><language>eng</language><publisher>Nitra: Faculty of Biotechnology and Food Sciences</publisher><subject>Genomes ; Polymorphism ; Seeds</subject><ispartof>Journal of microbiology, biotechnology and food sciences, 2013-04, Vol.2 (5), p.2366-2368</ispartof><rights>Copyright Faculty of Biotechnology and Food Sciences Apr/May 2013</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1648081299?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,37012,37013,44590</link.rule.ids></links><search><creatorcontrib>Ondrouskova, Jana</creatorcontrib><creatorcontrib>Vyhnanek, Tomas</creatorcontrib><title>STUDY OF GENETIC VARIABILITY OF TRITICALE VARIETIES BY SSR MARKERS</title><title>Journal of microbiology, biotechnology and food sciences</title><description>For the detection of genetic variability ten genotypes of winter triticale (×Triticosecale Wittmack, 2n = 6x = 42; BBAARR) were selected: nine varieties and one breeding line with good bread-making quality KM 4-09 with the chromosome translocation 1R.1D 5+10-2. 25 microsatellites markers located in the genome A, B, D and R were chosen for analysis. Eighty-four alleles were detected with an average of 3.36 alleles per locus were detected. For each microsatellite statistical values were calculated diversity index (DI), probabilities of identity (PI) and polymorphic information content (PIC) were calculated and averages statistical values are: DI 0.55, PI 0.27 and 0.5 PIC. Overall dendrogram based on the UPGMA method (Jaccards similarity coefficient) significantly distinguished two groups of genotypes and these groups were divided into sub-clusters. A set of 5 SSR markers (Xwms0752, Xbarc128, Xrems1237, Xwms0861 and Xbrac170) which have the calculated PIC value higher than 0.68 that are sufficient for the identification of the analyzed genotypes was described.</description><subject>Genomes</subject><subject>Polymorphism</subject><subject>Seeds</subject><issn>1338-5178</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdjk1Lw0AURQdBsNT-hwE3bgKZz2SWSZ3WwWghkwpdlfkKWGJTO83_d6yufJsH5577eDdghggpM4aK8g4sYjzkabgoMGMzUOtu-7SDmxVcyzfZqSV8r1pV1apR3RV3rUq0auQ1SIbUsN5BrVv4WrUvstX34LY3QwyLvz0H25Xsls9Zs1n_NLMTovySGep6Qh3FJheMOUOQx4W1zHlsDRbcW5wjRijDvE_QcmoZZ5741OEBF2QOHn_vns7j1xTiZf_5EV0YBnMM4xT3iAsquMCcJPXhn3oYp_MxfZcsWuYlwkKQb8pLTPY</recordid><startdate>20130401</startdate><enddate>20130401</enddate><creator>Ondrouskova, Jana</creator><creator>Vyhnanek, Tomas</creator><general>Faculty of Biotechnology and Food Sciences</general><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20130401</creationdate><title>STUDY OF GENETIC VARIABILITY OF TRITICALE VARIETIES BY SSR MARKERS</title><author>Ondrouskova, Jana ; Vyhnanek, Tomas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p146t-a4cf34c42a0955ca31d27bb5cd2ba296db201534526f5cdb64b565d3d4c46e273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Genomes</topic><topic>Polymorphism</topic><topic>Seeds</topic><toplevel>online_resources</toplevel><creatorcontrib>Ondrouskova, Jana</creatorcontrib><creatorcontrib>Vyhnanek, Tomas</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Journal of microbiology, biotechnology and food sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ondrouskova, Jana</au><au>Vyhnanek, Tomas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>STUDY OF GENETIC VARIABILITY OF TRITICALE VARIETIES BY SSR MARKERS</atitle><jtitle>Journal of microbiology, biotechnology and food sciences</jtitle><date>2013-04-01</date><risdate>2013</risdate><volume>2</volume><issue>5</issue><spage>2366</spage><epage>2368</epage><pages>2366-2368</pages><eissn>1338-5178</eissn><abstract>For the detection of genetic variability ten genotypes of winter triticale (×Triticosecale Wittmack, 2n = 6x = 42; BBAARR) were selected: nine varieties and one breeding line with good bread-making quality KM 4-09 with the chromosome translocation 1R.1D 5+10-2. 25 microsatellites markers located in the genome A, B, D and R were chosen for analysis. Eighty-four alleles were detected with an average of 3.36 alleles per locus were detected. For each microsatellite statistical values were calculated diversity index (DI), probabilities of identity (PI) and polymorphic information content (PIC) were calculated and averages statistical values are: DI 0.55, PI 0.27 and 0.5 PIC. Overall dendrogram based on the UPGMA method (Jaccards similarity coefficient) significantly distinguished two groups of genotypes and these groups were divided into sub-clusters. A set of 5 SSR markers (Xwms0752, Xbarc128, Xrems1237, Xwms0861 and Xbrac170) which have the calculated PIC value higher than 0.68 that are sufficient for the identification of the analyzed genotypes was described.</abstract><cop>Nitra</cop><pub>Faculty of Biotechnology and Food Sciences</pub><tpages>3</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 1338-5178
ispartof Journal of microbiology, biotechnology and food sciences, 2013-04, Vol.2 (5), p.2366-2368
issn 1338-5178
language eng
recordid cdi_proquest_miscellaneous_1694969263
source Publicly Available Content Database
subjects Genomes
Polymorphism
Seeds
title STUDY OF GENETIC VARIABILITY OF TRITICALE VARIETIES BY SSR MARKERS
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T22%3A55%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=STUDY%20OF%20GENETIC%20VARIABILITY%20OF%20TRITICALE%20VARIETIES%20BY%20SSR%20MARKERS&rft.jtitle=Journal%20of%20microbiology,%20biotechnology%20and%20food%20sciences&rft.au=Ondrouskova,%20Jana&rft.date=2013-04-01&rft.volume=2&rft.issue=5&rft.spage=2366&rft.epage=2368&rft.pages=2366-2368&rft.eissn=1338-5178&rft_id=info:doi/&rft_dat=%3Cproquest%3E1694969263%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p146t-a4cf34c42a0955ca31d27bb5cd2ba296db201534526f5cdb64b565d3d4c46e273%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1648081299&rft_id=info:pmid/&rfr_iscdi=true