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Compilation of an informative microsatellite set for genetic characterisation of East African finger millet ( Eleusine coracana )
Background: Genetic diversity of finger millet ( Eleusine coracana ), a nutritious neglected staple cereal in Africa and South Asia is largely uncharacterized. This study analysed 82 published SSR markers for finger millet across 10 diverse accessions to compile an informative set for genetic charac...
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Published in: | Electronic Journal of Biotechnology 2015-03, Vol.18 (2), p.77-82 |
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description | Background: Genetic diversity of finger millet ( Eleusine coracana ),
a nutritious neglected staple cereal in Africa and South Asia is
largely uncharacterized. This study analysed 82 published SSR markers
for finger millet across 10 diverse accessions to compile an
informative set for genetic characterisation. Extensive optimization
compared single samples with bulked leaf or bulked DNA samples for
capturing within accession genetic diversity. The markers were
evaluated to determine (1) how efficiently they amplified target loci
during high-throughput genotyping with a generic PCR protocol, (2) ease
of scoring PCR products and (3) polymorphism and ability to discern
genetic diversity within the tested finger millet germplasm. Results:
Across 88 samples, the 52 markers that worked well amplified 274
alleles, ranging from 2 to 14 per locus with a mean of 4.89. Major
allele frequency ranged from 0.18 to 0.93 with a mean of 0.57.
Polymorphic Information Content (PIC) ranged from 0.13 to 0.88 with a
mean of 0.5 and availability varied between 64 and 100% with a mean of
92.8%. Heterozygosity ranged from 0 to 1.0, with a mean of 0.26.
Discussion: Five individual samples from an accession captured the
largest number of alleles per locus compared to the four different
bulked sampling strategies but this difference was not significant. The
identified set comprised 20 markers: UGEP24, UGEP53, UGEP84, UGEP27,
UGEP98, UGEP95, UGEP64, UGEP33, UGEP67, UGEP106, UGEP110, UGEP57,
UGEP96, UGEP66, UGEP46, UGEP79, UGEP20, UGEP12, UGEP73 and UGEP5 and
was since used to assess East African finger millet genetic diversity
in two separate studies. |
doi_str_mv | 10.1016/j.ejbt.2014.12.001 |
format | article |
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a nutritious neglected staple cereal in Africa and South Asia is
largely uncharacterized. This study analysed 82 published SSR markers
for finger millet across 10 diverse accessions to compile an
informative set for genetic characterisation. Extensive optimization
compared single samples with bulked leaf or bulked DNA samples for
capturing within accession genetic diversity. The markers were
evaluated to determine (1) how efficiently they amplified target loci
during high-throughput genotyping with a generic PCR protocol, (2) ease
of scoring PCR products and (3) polymorphism and ability to discern
genetic diversity within the tested finger millet germplasm. Results:
Across 88 samples, the 52 markers that worked well amplified 274
alleles, ranging from 2 to 14 per locus with a mean of 4.89. Major
allele frequency ranged from 0.18 to 0.93 with a mean of 0.57.
Polymorphic Information Content (PIC) ranged from 0.13 to 0.88 with a
mean of 0.5 and availability varied between 64 and 100% with a mean of
92.8%. Heterozygosity ranged from 0 to 1.0, with a mean of 0.26.
Discussion: Five individual samples from an accession captured the
largest number of alleles per locus compared to the four different
bulked sampling strategies but this difference was not significant. The
identified set comprised 20 markers: UGEP24, UGEP53, UGEP84, UGEP27,
UGEP98, UGEP95, UGEP64, UGEP33, UGEP67, UGEP106, UGEP110, UGEP57,
UGEP96, UGEP66, UGEP46, UGEP79, UGEP20, UGEP12, UGEP73 and UGEP5 and
was since used to assess East African finger millet genetic diversity
in two separate studies.</description><identifier>ISSN: 0717-3458</identifier><identifier>EISSN: 0717-3458</identifier><identifier>DOI: 10.1016/j.ejbt.2014.12.001</identifier><language>eng</language><publisher>Universidad Católica de Valparaíso</publisher><subject>BIOTECHNOLOGY & APPLIED MICROBIOLOGY ; Diversity analysis ; Genotyping ; SSR markers</subject><ispartof>Electronic Journal of Biotechnology, 2015-03, Vol.18 (2), p.77-82</ispartof><rights>Copyright 2015 - Electronic Journal of Biotechnology</rights><rights>2014</rights><rights>This work is licensed under a Creative Commons Attribution 4.0 International License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b488t-4500cc6ceca1bb709664d30fe500235dbc8b741d2fd18ecaef33d0536ed12e1b3</citedby><cites>FETCH-LOGICAL-b488t-4500cc6ceca1bb709664d30fe500235dbc8b741d2fd18ecaef33d0536ed12e1b3</cites><orcidid>0000-0003-4412-928X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0717345814001468$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3549,24151,27924,27925,45780</link.rule.ids></links><search><creatorcontrib>De Villiers, Santie M</creatorcontrib><creatorcontrib>Michael, Vincent N</creatorcontrib><creatorcontrib>Manyasa, Eric O</creatorcontrib><creatorcontrib>Saiyiorri, Annis N</creatorcontrib><creatorcontrib>Deshpande, Santosh</creatorcontrib><title>Compilation of an informative microsatellite set for genetic characterisation of East African finger millet ( Eleusine coracana )</title><title>Electronic Journal of Biotechnology</title><addtitle>Electron. J. Biotechnol</addtitle><description>Background: Genetic diversity of finger millet ( Eleusine coracana ),
a nutritious neglected staple cereal in Africa and South Asia is
largely uncharacterized. This study analysed 82 published SSR markers
for finger millet across 10 diverse accessions to compile an
informative set for genetic characterisation. Extensive optimization
compared single samples with bulked leaf or bulked DNA samples for
capturing within accession genetic diversity. The markers were
evaluated to determine (1) how efficiently they amplified target loci
during high-throughput genotyping with a generic PCR protocol, (2) ease
of scoring PCR products and (3) polymorphism and ability to discern
genetic diversity within the tested finger millet germplasm. Results:
Across 88 samples, the 52 markers that worked well amplified 274
alleles, ranging from 2 to 14 per locus with a mean of 4.89. Major
allele frequency ranged from 0.18 to 0.93 with a mean of 0.57.
Polymorphic Information Content (PIC) ranged from 0.13 to 0.88 with a
mean of 0.5 and availability varied between 64 and 100% with a mean of
92.8%. Heterozygosity ranged from 0 to 1.0, with a mean of 0.26.
Discussion: Five individual samples from an accession captured the
largest number of alleles per locus compared to the four different
bulked sampling strategies but this difference was not significant. The
identified set comprised 20 markers: UGEP24, UGEP53, UGEP84, UGEP27,
UGEP98, UGEP95, UGEP64, UGEP33, UGEP67, UGEP106, UGEP110, UGEP57,
UGEP96, UGEP66, UGEP46, UGEP79, UGEP20, UGEP12, UGEP73 and UGEP5 and
was since used to assess East African finger millet genetic diversity
in two separate studies.</description><subject>BIOTECHNOLOGY & APPLIED MICROBIOLOGY</subject><subject>Diversity analysis</subject><subject>Genotyping</subject><subject>SSR markers</subject><issn>0717-3458</issn><issn>0717-3458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9UU1vEzEUtBCVKGn_ACcf4ZDFX_E6EpcqSqFSJQ7Qs-X1PgevnHVlu5U48s95S0rECV9sjT3zxjOEvOOs44zrj1MH09A6wbjquOgY46_IJet5v5ZqY17_c35D3tY6MSaY6tUl-bXLx8eYXIt5pjlQN9M4h1yOiDwDPUZfcnUNUooNaIVG8ZIeYIYWPfU_XHG-QYn1rLB3tdGbUKJHrRDnAxSUSQmp7-k-wVONM1CfkehmRz9ckYvgUoXrl31FHm7333df1vdfP9_tbu7XgzKmrdWGMe-1B-_4MPRsq7UaJQuAuJCbcfBm6BUfRRi5wUcQpBzZRmoYuQA-yBW5O-mO2U32scSjKz9tdtH-AXI5WFfwUwms6bXSLqDEdqsEl0Z7bYzXvVDoBceuSHfSqj5CynbKT2VG8_bbkrNdcsYq0BnGjEsiQZwIS5y1QDgb4MwuDdrJLg3apUHLhcUGkfTpRAKM5TlCscu42cMYC_iGvuP_6S8mh5gTZn4e6Ut09i8ICxOtciV_A0RytC4</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>De Villiers, Santie M</creator><creator>Michael, Vincent N</creator><creator>Manyasa, Eric O</creator><creator>Saiyiorri, Annis N</creator><creator>Deshpande, Santosh</creator><general>Universidad Católica de Valparaíso</general><general>Elsevier B.V</general><general>Pontificia Universidad Católica de Valparaíso</general><general>Elsevier</general><scope>RBI</scope><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>GPN</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4412-928X</orcidid></search><sort><creationdate>20150301</creationdate><title>Compilation of an informative microsatellite set for genetic characterisation of East African finger millet ( Eleusine coracana )</title><author>De Villiers, Santie M ; Michael, Vincent N ; Manyasa, Eric O ; Saiyiorri, Annis N ; Deshpande, Santosh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b488t-4500cc6ceca1bb709664d30fe500235dbc8b741d2fd18ecaef33d0536ed12e1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>BIOTECHNOLOGY & APPLIED MICROBIOLOGY</topic><topic>Diversity analysis</topic><topic>Genotyping</topic><topic>SSR markers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>De Villiers, Santie M</creatorcontrib><creatorcontrib>Michael, Vincent N</creatorcontrib><creatorcontrib>Manyasa, Eric O</creatorcontrib><creatorcontrib>Saiyiorri, Annis N</creatorcontrib><creatorcontrib>Deshpande, Santosh</creatorcontrib><collection>Bioline International</collection><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>SciELO</collection><collection>Directory of Open Access Journals</collection><jtitle>Electronic Journal of Biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>De Villiers, Santie M</au><au>Michael, Vincent N</au><au>Manyasa, Eric O</au><au>Saiyiorri, Annis N</au><au>Deshpande, Santosh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Compilation of an informative microsatellite set for genetic characterisation of East African finger millet ( Eleusine coracana )</atitle><jtitle>Electronic Journal of Biotechnology</jtitle><addtitle>Electron. J. Biotechnol</addtitle><date>2015-03-01</date><risdate>2015</risdate><volume>18</volume><issue>2</issue><spage>77</spage><epage>82</epage><pages>77-82</pages><issn>0717-3458</issn><eissn>0717-3458</eissn><abstract>Background: Genetic diversity of finger millet ( Eleusine coracana ),
a nutritious neglected staple cereal in Africa and South Asia is
largely uncharacterized. This study analysed 82 published SSR markers
for finger millet across 10 diverse accessions to compile an
informative set for genetic characterisation. Extensive optimization
compared single samples with bulked leaf or bulked DNA samples for
capturing within accession genetic diversity. The markers were
evaluated to determine (1) how efficiently they amplified target loci
during high-throughput genotyping with a generic PCR protocol, (2) ease
of scoring PCR products and (3) polymorphism and ability to discern
genetic diversity within the tested finger millet germplasm. Results:
Across 88 samples, the 52 markers that worked well amplified 274
alleles, ranging from 2 to 14 per locus with a mean of 4.89. Major
allele frequency ranged from 0.18 to 0.93 with a mean of 0.57.
Polymorphic Information Content (PIC) ranged from 0.13 to 0.88 with a
mean of 0.5 and availability varied between 64 and 100% with a mean of
92.8%. Heterozygosity ranged from 0 to 1.0, with a mean of 0.26.
Discussion: Five individual samples from an accession captured the
largest number of alleles per locus compared to the four different
bulked sampling strategies but this difference was not significant. The
identified set comprised 20 markers: UGEP24, UGEP53, UGEP84, UGEP27,
UGEP98, UGEP95, UGEP64, UGEP33, UGEP67, UGEP106, UGEP110, UGEP57,
UGEP96, UGEP66, UGEP46, UGEP79, UGEP20, UGEP12, UGEP73 and UGEP5 and
was since used to assess East African finger millet genetic diversity
in two separate studies.</abstract><pub>Universidad Católica de Valparaíso</pub><doi>10.1016/j.ejbt.2014.12.001</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-4412-928X</orcidid><oa>free_for_read</oa></addata></record> |
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title | Compilation of an informative microsatellite set for genetic characterisation of East African finger millet ( Eleusine coracana ) |
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