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Assessment of genetic variation within a global collection of lentil (Lens culinarisMedik.) cultivars and landraces using SNP markers

Overview of attention for article published in BMC Genetics, December 2014
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Title
Assessment of genetic variation within a global collection of lentil (Lens culinarisMedik.) cultivars and landraces using SNP markers
Published in
BMC Genetics, December 2014
DOI 10.1186/s12863-014-0150-3
Pubmed ID
Authors

Maria Lombardi, Michael Materne, Noel O I Cogan, Matthew Rodda, Hans D Daetwyler, Anthony T Slater, John W Forster, Sukhjiwan Kaur

Abstract

BackgroundLentil is a self-pollinated annual diploid (2n¿=¿2׿=¿14) crop with a restricted history of genetic improvement through breeding, particularly when compared to cereal crops. This limited breeding has probably contributed to the narrow genetic base of local cultivars, and a corresponding potential to continue yield increases and stability. Therefore, knowledge of genetic variation and relationships between populations is important for understanding of available genetic variability and its potential for use in breeding programs. Single nucleotide polymorphism (SNP) markers provide a method for rapid automated genotyping and subsequent data analysis over large numbers of samples, allowing assessment of genetic relationships between genotypes.ResultsIn order to investigate levels of genetic diversity within lentil germplasm, 505 cultivars and landraces were genotyped with 384 genome-wide distributed SNP markers, of which 266 (69.2%) obtained successful amplification and detected polymorphisms. Gene diversity and PIC values varied between 0.108-0.5 and 0.102-0.375, with averages of 0.419 and 0.328, respectively. On the basis of clarity and interest to lentil breeders, the genetic structure of the germplasm collection was analysed separately for cultivars and landraces. A neighbour-joining (NJ) dendrogram was constructed for commercial cultivars, in which lentil cultivars were sorted into three major groups (G-I, G-II and G-III). These results were further supported by principal coordinate analysis (PCoA) and STRUCTURE, from which three clear clusters were defined based on differences in geographical location. In the case of landraces, a weak correlation between geographical origin and genetic relationships was observed. The landraces from the Mediterranean region, predominantly Greece and Turkey, revealed very high levels of genetic diversity.Conclusions Lentil cultivars revealed clear clustering based on geographical origin, but much more limited correlation between geographic origin and genetic diversity was observed for landraces. These results suggest that selection of divergent parental genotypes for breeding should be made actively on the basis of systematic assessment of genetic distance between genotypes, rather than passively based on geographical distance.

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Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 28%
Researcher 14 16%
Student > Master 13 15%
Student > Doctoral Student 4 5%
Other 4 5%
Other 9 11%
Unknown 17 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 65%
Biochemistry, Genetics and Molecular Biology 2 2%
Computer Science 2 2%
Engineering 2 2%
Chemistry 2 2%
Other 4 5%
Unknown 18 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 May 2020.
All research outputs
#17,735,364
of 22,775,504 outputs
Outputs from BMC Genetics
#686
of 1,056 outputs
Outputs of similar age
#241,711
of 353,020 outputs
Outputs of similar age from BMC Genetics
#23
of 38 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,056 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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