Evidence map›Paper›PMID 27576309›Full record

ArticleBMC genetics2016

Characterization of novel SSR markers in diverse sainfoin (Onobrychis viciifolia) germplasm.

Katharina Kempf, Marina Mora-Ortiz, Lydia M J Smith, Roland Kölliker, Leif Skøt

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Article in BMC genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Katharina KempfAgroscope ISS, Reckenholzstrasse 191, CH-8046, Zürich, Switzerland.
Marina Mora-OrtizNational Institute of Agricutural Botany, Huntingdon Road, Cambridge, CB3 OLE, UK.
Lydia M J SmithNational Institute of Agricutural Botany, Huntingdon Road, Cambridge, CB3 OLE, UK.
Roland KöllikerAgroscope ISS, Reckenholzstrasse 191, CH-8046, Zürich, Switzerland.
Leif SkøtIBERS, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EB, UK. lfs@aber.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSainfoin is a perennial forage legume with beneficial properties for animal husbandry due to the presence of secondary metabolites. However, worldwide cultivation of sainfoin is marginal due to the lack of varieties with good agronomic performance, adapted to a broad range of environmental conditions. Little is known about the genetics of sainfoin and only few genetic markers are available to assist breeding and genetic investigations. The objective of this study was to develop a set of SSR markers useful for genetic studies in sainfoin and their characterization in diverse germplasm.

resultsA set of 400 SSR primer combinations were tested for amplification and their ability to detect polymorphisms in a set of 32 sainfoin individuals, representing distinct varieties or landraces. Alleles were scored for presence or absence and polymorphism information content of each SSR locus was calculated with an adapted formula taking into account the tetraploid character of sainfoin. Relationships among individuals were visualized using cluster and principle components analysis. Of the 400 primer combinations tested, 101 reliably detected polymorphisms among the 32 sainfoin individuals. Among the 1154 alleles amplified 250 private alleles were observed. The number of alleles per locus ranged from 2 to 24 with an average of 11.4 alleles. The average polymorphism information content reached values of 0.14 to 0.36. The clustering of the 32 individuals suggested a separation into two groups depending on the origin of the accessions.

conclusionsThe SSR markers characterized and tested in this study provide a valuable tool to detect polymorphisms in sainfoin for future genetic studies and breeding programs. As a proof of concept, we showed that these markers can be used to separate sainfoin individuals based on their origin.

Indexed as

Microsatellite RepeatsFabaceaeGenetic MarkersPlant BreedingPrincipal Component AnalysisQuantitative Trait LociSeedsSequence Analysis, DNAGenetic MarkersFingerprintingGenetic diversityMicrosatelliteMolecular markersOnobrychis viciifoliaSainfoinSSR

Identifiers

PMID27576309
PMCPMC5006395

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.