Cross species/genera transferability of simple sequence repeat markers, genetic diversity and population structure analysis in gladiolus ( Gladiolus × grandiflorus L.) genotypes Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.7717/peerj.15820
Background Genetic analysis of gladiolus germplasm using simple sequence repeat (SSR) markers is largely missing due to scarce genomic information. Hence, microsatellites identified for related genera or species may be utilized to understand the genetic diversity and assess genetic relationships among cultivated gladiolus varieties. Methods In the present investigation, we screened 26 genomic SSRs ( Gladiolus palustris, Crocus sativus , Herbertia zebrina , Sysirinchium micranthum ), 14 chloroplast SSRs (Gladiolus spp . , chloroplast DNA regions ) and 25 Iris Expressed Sequence Tags (ESTs) derived SSRs across the 84 gladiolus ( Gladiolus × grandiflorus L.) genotypes. Polymorphic markers detected from amplified SSRs were used to calculate genetic diversity estimates, analyze population structure, cluster analysis and principal coordinate analysis (PCoA). Results A total of 41 SSRs showed reproducible amplification pattern among the selected gladiolus cultivars. Among these, 17 highly polymorphic SSRs revealed a total of 58 polymorphic alleles ranging from two to six with an average of 3.41 alleles per marker. Polymorphic information content (PIC) values ranged from 0.11 to 0.71 with an average value of 0.48. A total of 4 SSRs were selectively neutral based on the Ewens–Watterson test. Hence, 66.66% of Gladiolus palustris , 48% of Iris spp. EST, 71.42% of Crocus sativus SSRs showed cross-transferability among the gladiolus genotypes. Analysis of genetic structure of 84 gladiolus genotypes revealed two subpopulations; 35 genotypes were assigned to subpopulation 1, 37 to subpopulation 2 and the remaining 12 genotypes could not be attributed to either subpopulation. Analysis of molecular variance indicated maximum variance (53.59%) among individuals within subpopulations, whereas 36.55% of variation among individuals within the total population. The least variation (9.86%) was noticed between two subpopulations. Moderate (F ST = 0.10) genetic differentiation between two subpopulations was observed. The grouping pattern of population structure was consistent with the unweighted pair group method with arithmetic mean (UPGMA) dendrogram based on simple matching dissimilarity coefficient and PCoA. Conclusion SSR markers from the present study can be utilized for cultivar identification, conservation and sustainable utilization of gladiolus genotypes for crop improvement. Genetic relationships assessed among the genotypes of respective clusters may assist the breeders in selecting desirable parents for crossing.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7717/peerj.15820
- OA Status
- gold
- Cited By
- 6
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386504673
Raw OpenAlex JSON
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https://openalex.org/W4386504673Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.7717/peerj.15820Digital Object Identifier
- Title
-
Cross species/genera transferability of simple sequence repeat markers, genetic diversity and population structure analysis in gladiolus ( Gladiolus × grandiflorus L.) genotypesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-09-07Full publication date if available
- Authors
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Varun Hiremath, Kanwar Pal Singh, Neelu Jain, Kishan Swaroop, Pradeep Kumar Jain, Sapna Panwar, Nivedita SinhaList of authors in order
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https://doi.org/10.7717/peerj.15820Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.7717/peerj.15820Direct OA link when available
- Concepts
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Gladiolus, Biology, Genetic diversity, Microsatellite, Iridaceae, Crocus sativus, Germplasm, Population, Analysis of molecular variance, Genotype, Botany, Veterinary medicine, Genetics, Allele, Medicine, Gene, Environmental healthTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 2, 2024: 2, 2023: 2Per-year citation counts (last 5 years)
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52Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.88749472 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |