Elucidating genetic diversity and population structure in jamun [
The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological...
Ausführliche Beschreibung
Autor*in: |
Singh, Anshuman [verfasserIn] Verma, Sachin Kumar [verfasserIn] Prasad, Geeta [verfasserIn] Kumar, Ashwani [verfasserIn] Sharma, Parbodh Chander [verfasserIn] Singh, Amit Kumar [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: South African journal of botany - Amsterdam : Elsevier, 1982, 151, Seite 454-465 |
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Übergeordnetes Werk: |
volume:151 ; pages:454-465 |
DOI / URN: |
10.1016/j.sajb.2022.10.023 |
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Katalog-ID: |
ELV008955255 |
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520 | |a The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. | ||
650 | 4 | |a Genetic divergence | |
650 | 4 | |a Molecular characterization | |
650 | 4 | |a Polymorphism | |
650 | 4 | |a Population structure | |
650 | 4 | |a Jamun ( | |
700 | 1 | |a Verma, Sachin Kumar |e verfasserin |4 aut | |
700 | 1 | |a Prasad, Geeta |e verfasserin |4 aut | |
700 | 1 | |a Kumar, Ashwani |e verfasserin |4 aut | |
700 | 1 | |a Sharma, Parbodh Chander |e verfasserin |4 aut | |
700 | 1 | |a Singh, Amit Kumar |e verfasserin |4 aut | |
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10.1016/j.sajb.2022.10.023 doi (DE-627)ELV008955255 (ELSEVIER)S0254-6299(22)00550-6 DE-627 ger DE-627 rda eng 580 DE-600 AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Singh, Anshuman verfasserin aut Elucidating genetic diversity and population structure in jamun [ 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. Genetic divergence Molecular characterization Polymorphism Population structure Jamun ( Verma, Sachin Kumar verfasserin aut Prasad, Geeta verfasserin aut Kumar, Ashwani verfasserin aut Sharma, Parbodh Chander verfasserin aut Singh, Amit Kumar verfasserin aut Enthalten in South African journal of botany Amsterdam : Elsevier, 1982 151, Seite 454-465 Online-Ressource (DE-627)373504608 (DE-600)2126918-X (DE-576)259486205 nnns volume:151 pages:454-465 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-AFRIKA FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 42.38 Botanik: Allgemeines AR 151 454-465 |
spelling |
10.1016/j.sajb.2022.10.023 doi (DE-627)ELV008955255 (ELSEVIER)S0254-6299(22)00550-6 DE-627 ger DE-627 rda eng 580 DE-600 AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Singh, Anshuman verfasserin aut Elucidating genetic diversity and population structure in jamun [ 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. Genetic divergence Molecular characterization Polymorphism Population structure Jamun ( Verma, Sachin Kumar verfasserin aut Prasad, Geeta verfasserin aut Kumar, Ashwani verfasserin aut Sharma, Parbodh Chander verfasserin aut Singh, Amit Kumar verfasserin aut Enthalten in South African journal of botany Amsterdam : Elsevier, 1982 151, Seite 454-465 Online-Ressource (DE-627)373504608 (DE-600)2126918-X (DE-576)259486205 nnns volume:151 pages:454-465 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-AFRIKA FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 42.38 Botanik: Allgemeines AR 151 454-465 |
allfields_unstemmed |
10.1016/j.sajb.2022.10.023 doi (DE-627)ELV008955255 (ELSEVIER)S0254-6299(22)00550-6 DE-627 ger DE-627 rda eng 580 DE-600 AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Singh, Anshuman verfasserin aut Elucidating genetic diversity and population structure in jamun [ 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. Genetic divergence Molecular characterization Polymorphism Population structure Jamun ( Verma, Sachin Kumar verfasserin aut Prasad, Geeta verfasserin aut Kumar, Ashwani verfasserin aut Sharma, Parbodh Chander verfasserin aut Singh, Amit Kumar verfasserin aut Enthalten in South African journal of botany Amsterdam : Elsevier, 1982 151, Seite 454-465 Online-Ressource (DE-627)373504608 (DE-600)2126918-X (DE-576)259486205 nnns volume:151 pages:454-465 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-AFRIKA FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 42.38 Botanik: Allgemeines AR 151 454-465 |
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10.1016/j.sajb.2022.10.023 doi (DE-627)ELV008955255 (ELSEVIER)S0254-6299(22)00550-6 DE-627 ger DE-627 rda eng 580 DE-600 AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Singh, Anshuman verfasserin aut Elucidating genetic diversity and population structure in jamun [ 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. Genetic divergence Molecular characterization Polymorphism Population structure Jamun ( Verma, Sachin Kumar verfasserin aut Prasad, Geeta verfasserin aut Kumar, Ashwani verfasserin aut Sharma, Parbodh Chander verfasserin aut Singh, Amit Kumar verfasserin aut Enthalten in South African journal of botany Amsterdam : Elsevier, 1982 151, Seite 454-465 Online-Ressource (DE-627)373504608 (DE-600)2126918-X (DE-576)259486205 nnns volume:151 pages:454-465 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-AFRIKA FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 42.38 Botanik: Allgemeines AR 151 454-465 |
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10.1016/j.sajb.2022.10.023 doi (DE-627)ELV008955255 (ELSEVIER)S0254-6299(22)00550-6 DE-627 ger DE-627 rda eng 580 DE-600 AFRIKA DE-30 fid BIODIV DE-30 fid 42.38 bkl Singh, Anshuman verfasserin aut Elucidating genetic diversity and population structure in jamun [ 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. Genetic divergence Molecular characterization Polymorphism Population structure Jamun ( Verma, Sachin Kumar verfasserin aut Prasad, Geeta verfasserin aut Kumar, Ashwani verfasserin aut Sharma, Parbodh Chander verfasserin aut Singh, Amit Kumar verfasserin aut Enthalten in South African journal of botany Amsterdam : Elsevier, 1982 151, Seite 454-465 Online-Ressource (DE-627)373504608 (DE-600)2126918-X (DE-576)259486205 nnns volume:151 pages:454-465 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-AFRIKA FID-BIODIV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 42.38 Botanik: Allgemeines AR 151 454-465 |
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elucidating genetic diversity and population structure in jamun [ |
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Elucidating genetic diversity and population structure in jamun [ |
abstract |
The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. |
abstractGer |
The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. |
abstract_unstemmed |
The use of molecular markers has received little attention in jamun [Syzygium cumini (L.) Skeels], an underutilized fruit crop highly valued for its medicinal and nutraceutical properties. In this study, 50 jamun accessions from four different populations were analyzed using 21 morpho-physiological traits and 22 polymorphic gene-targeted CAAT box-derived polymorphism (CBDP) markers. The morpho-physiological variability was fairly high among the jamun accessions. The UPGMA analysis based on morpho-physiological traits produced three clusters with a cophenetic correlation of 0.75, reflecting a good fit between the original matrix and the clustering algorithm. The average polymorphism of 91.17% and the wide-ranging heterozygosity values (0.282-0.499) for the CBDP markers revealed considerable genetic variation among jamun genotypes. The average PIC of 0.352 evinced a high discriminatory power of the CBDP markers in distinguishing the accessions. CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. Our findings improve the existing understanding vis-à-vis genetic diversity and population structure in jamun, and are expected to increase the use of CBDP and similar marker techniques in cultivar development programs. |
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CDBP data-based UPGMA clustering and population structure analysis identified four distinct populations; albeit with overlaps among them. This, together with the existence of admixed types in all four populations, indicated a fairly high degree of gene flow within jamun populations sampled in this study. It is therefore likely that despite widely differing geographic origins, some accessions in all the populations have a shared ancestral origin. Analysis of Molecular Variance also supports this assumption, as an exceedingly higher within-population variance (84%) than among-population variance (16%) reflected a high degree of gene flow and low genetic differentiation for the Jamun populations examined. 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