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Analysis of wild-species introgressions in tomato inbreds uncovers ancestral origins

Overview of attention for article published in BMC Plant Biology, October 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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1 blog
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9 X users
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Title
Analysis of wild-species introgressions in tomato inbreds uncovers ancestral origins
Published in
BMC Plant Biology, October 2014
DOI 10.1186/s12870-014-0287-2
Pubmed ID
Authors

Naama Menda, Susan R Strickler, Jeremy D Edwards, Aureliano Bombarely, Diane M Dunham, Gregory B Martin, Luis Mejia, Samuel F Hutton, Michael J Havey, Douglas P Maxwell, Lukas A Mueller

Abstract

BackgroundDecades of intensive tomato breeding using wild-species germplasm have resulted in the genomes of domesticated germplasm (Solanum lycopersicum) being intertwined with introgressions from their wild relatives. Comparative analysis of genomes among cultivated tomatoes and wild species that have contributed genetic variation can help identify desirable genes, such as those conferring disease resistance. The ability to identify introgression position, borders, and contents can reveal ancestral origins and facilitate harnessing of wild variation in crop breeding.ResultsHere we present the whole-genome sequences of two tomato inbreds, Gh13 and BTI-87, both carrying the begomovirus resistance locus Ty-3 introgressed from wild tomato species. Introgressions of different sizes on chromosome 6 of Gh13 and BTI-87, both corresponding to the Ty-3 region, were identified as from a source close to the wild species S. chilense. Other introgressions were identified throughout the genomes of the inbreds and showed major differences in the breeding pedigrees of the two lines. Interestingly, additional large introgressions from the close tomato relative S. pimpinellifolium were identified in both lines. Some of the polymorphic regions were attributed to introgressions in the reference Heinz 1706 genome, indicating wild genome sequences in the reference tomato genome.ConclusionsThe methods developed in this work can be used to delineate genome introgressions, and subsequently contribute to development of molecular markers to aid phenotypic selection, fine mapping and discovery of candidate genes for important phenotypes, and for identification of novel variation for tomato improvement. These universal methods can easily be applied to other crop plants.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 3%
United States 2 2%
Chile 1 <1%
Italy 1 <1%
France 1 <1%
Greece 1 <1%
Brazil 1 <1%
Unknown 92 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 29%
Student > Ph. D. Student 21 21%
Student > Master 12 12%
Student > Bachelor 6 6%
Other 5 5%
Other 12 12%
Unknown 16 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 65%
Biochemistry, Genetics and Molecular Biology 11 11%
Computer Science 1 <1%
Chemistry 1 <1%
Unknown 23 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 May 2016.
All research outputs
#2,502,208
of 23,881,329 outputs
Outputs from BMC Plant Biology
#117
of 3,322 outputs
Outputs of similar age
#29,744
of 262,889 outputs
Outputs of similar age from BMC Plant Biology
#5
of 80 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,322 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 262,889 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.