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Identification and Validation of SNP Markers Linked to Dwarf Traits Using SLAF-Seq Technology in Lagerstroemia
The genetic control of plant architecture is a promising approach to breed desirable cultivars, particularly in ornamental flowers. In this study, the F1 population (142 seedlings) derived from Lagerstroemia fauriei (non-dwarf) × L. indica 'Pocomoke' (dwarf) was phenotyped for six traits (...
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Published in: | PloS one 2016-07, Vol.11 (7), p.e0158970-e0158970 |
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description | The genetic control of plant architecture is a promising approach to breed desirable cultivars, particularly in ornamental flowers. In this study, the F1 population (142 seedlings) derived from Lagerstroemia fauriei (non-dwarf) × L. indica 'Pocomoke' (dwarf) was phenotyped for six traits (plant height (PH), internode length (IL), internode number, primary lateral branch height (PLBH), secondary lateral branch height and primary branch number), and the IL and PLBH traits were positively correlated with the PH trait and considered representative indexes of PH. Fifty non-dwarf and dwarf seedlings were pooled and subjected to a specific-locus amplified fragment sequencing (SLAF-seq) method, which screened 1221 polymorphic markers. A total of 3 markers segregating between bulks were validated in the F1 population, with the M16337 and M38412 markers highly correlated with the IL trait and the M25207 marker highly correlated with the PLBH trait. These markers provide a predictability of approximately 80% using a single marker (M25207) and a predictability of 90% using marker combinations (M16337 + M25207) in the F1 population, which revealed that the IL and the PLBH traits, especially the PLBH, were the decisive elements for PH in terms of molecular regulation. Further validation was performed in the BC1 population and a set of 28 Lagerstroemia stocks using allele-specific PCR (AS-PCR) technology, and the results showed the stability and reliability of the SNP markers and the co-determination of PH by multiple genes. Our findings provide an important theoretical and practical basis for the early prediction and indirect selection of PH using the IL and the PLBH, and the detected SNPs may be useful for marker-assisted selection (MAS) in crape myrtle. |
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In this study, the F1 population (142 seedlings) derived from Lagerstroemia fauriei (non-dwarf) × L. indica 'Pocomoke' (dwarf) was phenotyped for six traits (plant height (PH), internode length (IL), internode number, primary lateral branch height (PLBH), secondary lateral branch height and primary branch number), and the IL and PLBH traits were positively correlated with the PH trait and considered representative indexes of PH. Fifty non-dwarf and dwarf seedlings were pooled and subjected to a specific-locus amplified fragment sequencing (SLAF-seq) method, which screened 1221 polymorphic markers. A total of 3 markers segregating between bulks were validated in the F1 population, with the M16337 and M38412 markers highly correlated with the IL trait and the M25207 marker highly correlated with the PLBH trait. These markers provide a predictability of approximately 80% using a single marker (M25207) and a predictability of 90% using marker combinations (M16337 + M25207) in the F1 population, which revealed that the IL and the PLBH traits, especially the PLBH, were the decisive elements for PH in terms of molecular regulation. Further validation was performed in the BC1 population and a set of 28 Lagerstroemia stocks using allele-specific PCR (AS-PCR) technology, and the results showed the stability and reliability of the SNP markers and the co-determination of PH by multiple genes. Our findings provide an important theoretical and practical basis for the early prediction and indirect selection of PH using the IL and the PLBH, and the detected SNPs may be useful for marker-assisted selection (MAS) in crape myrtle.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0158970</identifier><identifier>PMID: 27404662</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Architectural engineering ; Biology and Life Sciences ; Brassica napus ; Correlation ; Cultivars ; Engineering research ; Flowers ; Gene mapping ; Genetic aspects ; Genetic control ; Genetic Markers - genetics ; Genomes ; Genomics ; Genotype ; Genotype & phenotype ; Germplasm ; High-Throughput Nucleotide Sequencing ; Laboratories ; Lagerstroemia ; Lagerstroemia - anatomy & histology ; Lagerstroemia - genetics ; Lagerstroemia - growth & development ; Landscape architecture ; Marker-assisted selection ; Markers ; Oryza sativa ; Personality traits ; Phenotype ; Physiological aspects ; Polymerase Chain Reaction ; Polymorphism, Single Nucleotide ; Population genetics ; Population studies ; Predictability ; Research and Analysis Methods ; Rice ; Seedlings ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Sorghum ; Technology ; Technology utilization</subject><ispartof>PloS one, 2016-07, Vol.11 (7), p.e0158970-e0158970</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Ye et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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These markers provide a predictability of approximately 80% using a single marker (M25207) and a predictability of 90% using marker combinations (M16337 + M25207) in the F1 population, which revealed that the IL and the PLBH traits, especially the PLBH, were the decisive elements for PH in terms of molecular regulation. Further validation was performed in the BC1 population and a set of 28 Lagerstroemia stocks using allele-specific PCR (AS-PCR) technology, and the results showed the stability and reliability of the SNP markers and the co-determination of PH by multiple genes. Our findings provide an important theoretical and practical basis for the early prediction and indirect selection of PH using the IL and the PLBH, and the detected SNPs may be useful for marker-assisted selection (MAS) in crape myrtle.</description><subject>Architectural engineering</subject><subject>Biology and Life Sciences</subject><subject>Brassica napus</subject><subject>Correlation</subject><subject>Cultivars</subject><subject>Engineering research</subject><subject>Flowers</subject><subject>Gene mapping</subject><subject>Genetic aspects</subject><subject>Genetic control</subject><subject>Genetic Markers - genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Genotype & phenotype</subject><subject>Germplasm</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Laboratories</subject><subject>Lagerstroemia</subject><subject>Lagerstroemia - anatomy & histology</subject><subject>Lagerstroemia - genetics</subject><subject>Lagerstroemia - growth & development</subject><subject>Landscape architecture</subject><subject>Marker-assisted selection</subject><subject>Markers</subject><subject>Oryza sativa</subject><subject>Personality traits</subject><subject>Phenotype</subject><subject>Physiological aspects</subject><subject>Polymerase Chain Reaction</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Population genetics</subject><subject>Population studies</subject><subject>Predictability</subject><subject>Research and Analysis Methods</subject><subject>Rice</subject><subject>Seedlings</subject><subject>Single nucleotide polymorphisms</subject><subject>Single-nucleotide polymorphism</subject><subject>Sorghum</subject><subject>Technology</subject><subject>Technology utilization</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk01vEzEQhlcIREvhHyCwhITgkOD1x9p7qVQVCpECRSTt1ZrY3o3bjd3aG6D_HqdJqwT1UO3Ba_t537FnPEXxusTDkory00VYRg_d8Cp4O8Qll7XAT4r9sqZkUBFMn2797xUvUrrAmFNZVc-LPSIYZlVF9gs_Mtb3rnEaehc8Am_QOXTOrKehQZMfP9F3iJc2JjR2_tIa1Af0-Q_EBk0juD6hs-R8iybjo5PBxF6jqdVzH7rQ3iDn0RjaLO1jsAsHL4tnDXTJvtqMB8XZyZfp8bfB-PTr6PhoPNCC8H4gqW6kJdw2DWczTAXnUs4AQ1VRLEuObS3MzBhOaKYEA26FMdRoWkODuaAHxdu171UXktqkKqlSYsooy3nJxGhNmAAX6iq6BcQbFcCp24UQWwWxd7qzChpmSGWF1cYyYkgtK4GBa8w0CFKvoh1uoi1nC2t0zmiEbsd0d8e7uWrDb8VqRrCsssGHjUEM10uberVwSduuA2_D8vbcsiqpFOIxaL6fkIRk9N1_6MOJ2FAt5Ls634R8RL0yVUeMCyErRlZhhw9Q-TO5rDo_wcbl9R3Bxx1BZnr7t29hmZIaTX49nj0932Xfb7FzC10_T6Fbrp5r2gXZGtQxpBRtc1-PEqtVB91lQ606SG06KMvebNfyXnTXMvQfDnAU_A</recordid><startdate>20160712</startdate><enddate>20160712</enddate><creator>Ye, Yuanjun</creator><creator>Cai, Ming</creator><creator>Ju, Yiqian</creator><creator>Jiao, Yao</creator><creator>Feng, Lu</creator><creator>Pan, Huitang</creator><creator>Cheng, Tangren</creator><creator>Zhang, Qixiang</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</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>AFKRA</scope><scope>ARAPS</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>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160712</creationdate><title>Identification and Validation of SNP Markers Linked to Dwarf Traits Using SLAF-Seq Technology in Lagerstroemia</title><author>Ye, Yuanjun ; Cai, Ming ; Ju, Yiqian ; Jiao, Yao ; Feng, Lu ; Pan, Huitang ; Cheng, Tangren ; Zhang, Qixiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-83cf8e25eff54b0375588ba0a66308150e97dbdd523e2574a5e7dd3dc39af0573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Architectural engineering</topic><topic>Biology and Life Sciences</topic><topic>Brassica napus</topic><topic>Correlation</topic><topic>Cultivars</topic><topic>Engineering research</topic><topic>Flowers</topic><topic>Gene mapping</topic><topic>Genetic aspects</topic><topic>Genetic control</topic><topic>Genetic Markers - 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In this study, the F1 population (142 seedlings) derived from Lagerstroemia fauriei (non-dwarf) × L. indica 'Pocomoke' (dwarf) was phenotyped for six traits (plant height (PH), internode length (IL), internode number, primary lateral branch height (PLBH), secondary lateral branch height and primary branch number), and the IL and PLBH traits were positively correlated with the PH trait and considered representative indexes of PH. Fifty non-dwarf and dwarf seedlings were pooled and subjected to a specific-locus amplified fragment sequencing (SLAF-seq) method, which screened 1221 polymorphic markers. A total of 3 markers segregating between bulks were validated in the F1 population, with the M16337 and M38412 markers highly correlated with the IL trait and the M25207 marker highly correlated with the PLBH trait. These markers provide a predictability of approximately 80% using a single marker (M25207) and a predictability of 90% using marker combinations (M16337 + M25207) in the F1 population, which revealed that the IL and the PLBH traits, especially the PLBH, were the decisive elements for PH in terms of molecular regulation. Further validation was performed in the BC1 population and a set of 28 Lagerstroemia stocks using allele-specific PCR (AS-PCR) technology, and the results showed the stability and reliability of the SNP markers and the co-determination of PH by multiple genes. Our findings provide an important theoretical and practical basis for the early prediction and indirect selection of PH using the IL and the PLBH, and the detected SNPs may be useful for marker-assisted selection (MAS) in crape myrtle.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27404662</pmid><doi>10.1371/journal.pone.0158970</doi><oa>free_for_read</oa></addata></record> |
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subjects | Architectural engineering Biology and Life Sciences Brassica napus Correlation Cultivars Engineering research Flowers Gene mapping Genetic aspects Genetic control Genetic Markers - genetics Genomes Genomics Genotype Genotype & phenotype Germplasm High-Throughput Nucleotide Sequencing Laboratories Lagerstroemia Lagerstroemia - anatomy & histology Lagerstroemia - genetics Lagerstroemia - growth & development Landscape architecture Marker-assisted selection Markers Oryza sativa Personality traits Phenotype Physiological aspects Polymerase Chain Reaction Polymorphism, Single Nucleotide Population genetics Population studies Predictability Research and Analysis Methods Rice Seedlings Single nucleotide polymorphisms Single-nucleotide polymorphism Sorghum Technology Technology utilization |
title | Identification and Validation of SNP Markers Linked to Dwarf Traits Using SLAF-Seq Technology in Lagerstroemia |
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