| Title |
Genotyping-by-sequencing highlights original diversity patterns within a European collection of 1191 maize flint lines, as compared to the maize USDA genebank
|
|---|---|
| Published in |
Theoretical and Applied Genetics, August 2017
|
| DOI | 10.1007/s00122-017-2949-6 |
| Pubmed ID | |
| Authors |
Brigitte Gouesnard, Sandra Negro, Amélie Laffray, Jeff Glaubitz, Albrecht Melchinger, Pedro Revilla, Jesus Moreno-Gonzalez, Delphine Madur, Valérie Combes, Christine Tollon-Cordet, Jacques Laborde, Dominique Kermarrec, Cyril Bauland, Laurence Moreau, Alain Charcosset, Stéphane Nicolas |
| Abstract |
Genotyping by sequencing is suitable for analysis of global diversity in maize. We showed the distinctiveness of flint maize inbred lines of interest to enrich the diversity of breeding programs. Genotyping-by-sequencing (GBS) is a highly cost-effective procedure that permits the analysis of large collections of inbred lines. We used it to characterize diversity in 1191 maize flint inbred lines from the INRA collection, the European Cornfed association panel, and lines recently derived from landraces. We analyzed the properties of GBS data obtained with different imputation methods, through comparison with a 50 K SNP array. We identified seven ancestral groups within the Flint collection (dent, Northern flint, Italy, Pyrenees-Galicia, Argentina, Lacaune, Popcorn) in agreement with breeding knowledge. Analysis highlighted many crosses between different origins and the improvement of flint germplasm with dent germplasm. We performed association studies on different agronomic traits, revealing SNPs associated with cob color, kernel color, and male flowering time variation. We compared the diversity of both our collection and the USDA collection which has been previously analyzed by GBS. The population structure of the 4001 inbred lines confirmed the influence of the historical inbred lines (B73, A632, Oh43, Mo17, W182E, PH207, and Wf9) within the dent group. It showed distinctly different tropical and popcorn groups, a sweet-Northern flint group and a flint group sub-structured in Italian and European flint (Pyrenees-Galicia and Lacaune) groups. Interestingly, we identified several selective sweeps between dent, flint, and tropical inbred lines that co-localized with SNPs associated with flowering time variation. The joint analysis of collections by GBS offers opportunities for a global diversity analysis of maize inbred lines. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 21% |
| Germany | 2 | 14% |
| United States | 1 | 7% |
| Brazil | 1 | 7% |
| Turkey | 1 | 7% |
| China | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 22% |
| Student > Ph. D. Student | 8 | 17% |
| Other | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 10 | 22% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 72% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Unspecified | 1 | 2% |
| Engineering | 1 | 2% |
| Unknown | 8 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 29 November 2017.
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#1,915,003
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Outputs from Theoretical and Applied Genetics
#109
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Outputs of similar age
#38,174
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Outputs of similar age from Theoretical and Applied Genetics
#8
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