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Diversification of R2R3-MYB Transcription Factors in the Tomato Family Solanaceae

Overview of attention for article published in Journal of Molecular Evolution, June 2016
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Title
Diversification of R2R3-MYB Transcription Factors in the Tomato Family Solanaceae
Published in
Journal of Molecular Evolution, June 2016
DOI 10.1007/s00239-016-9750-z
Pubmed ID
Authors

Daniel J. Gates, Susan R. Strickler, Lukas A. Mueller, Bradley J. S. C. Olson, Stacey D. Smith

Abstract

MYB transcription factors play an important role in regulating key plant developmental processes involving defense, cell shape, pigmentation, and root formation. Within this gene family, sequences containing an R2R3 MYB domain are the most abundant type and exhibit a wide diversity of functions. In this study, we identify 559 R2R3 MYB genes using whole genome data from four species of Solanaceae and reconstruct their evolutionary relationships. We compare the Solanaceae R2R3 MYBs to the well-characterized Arabidopsis thaliana sequences to estimate functional diversity and to identify gains and losses of MYB clades in the Solanaceae. We identify numerous R2R3 MYBs that do not appear closely related to Arabidopsis MYBs, and thus may represent clades of genes that have been lost along the Arabidopsis lineage or gained after the divergence of Rosid and Asterid lineages. Despite differences in the distribution of R2R3 MYBs across functional subgroups and species, the overall size of the R2R3 subfamily has changed relatively little over the roughly 50 million-year history of Solanaceae. We added our information regarding R2R3 MYBs in Solanaceae to other data and performed a meta-analysis to trace the evolution of subfamily size across land plants. The results reveal many shifts in the number of R2R3 genes, including a 54 % increase along the angiosperm stem lineage. The variation in R2R3 subfamily size across land plants is weakly positively correlated with genome size and strongly positively correlated with total number of genes. The retention of such a large number of R2R3 copies over long evolutionary time periods suggests that they have acquired new functions and been maintained by selection. Discovering the nature of this functional diversity will require integrating forward and reverse genetic approaches on an -omics scale.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 7 16%
Student > Postgraduate 4 9%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 8 18%
Unknown 10 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 49%
Biochemistry, Genetics and Molecular Biology 8 18%
Environmental Science 1 2%
Chemical Engineering 1 2%
Computer Science 1 2%
Other 0 0%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 July 2016.
All research outputs
#6,652,722
of 23,510,717 outputs
Outputs from Journal of Molecular Evolution
#396
of 1,466 outputs
Outputs of similar age
#107,860
of 353,630 outputs
Outputs of similar age from Journal of Molecular Evolution
#2
of 9 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,466 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 71% 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 353,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.