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Resolving deep relationships of PACMAD grasses: a phylogenomic approach

Overview of attention for article published in BMC Plant Biology, July 2015
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  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Resolving deep relationships of PACMAD grasses: a phylogenomic approach
Published in
BMC Plant Biology, July 2015
DOI 10.1186/s12870-015-0563-9
Pubmed ID
Authors

Joseph L. Cotton, William P. Wysocki, Lynn G. Clark, Scot A. Kelchner, J Chris Pires, Patrick P. Edger, Dustin Mayfield-Jones, Melvin R. Duvall

Abstract

Plastome sequences for 18 species of the PACMAD grasses (subfamilies Panicoideae, Aristidoideae, Chloridoideae, Micrairoideae, Arundinoideae, Danthonioideae) were analyzed phylogenomically. Next generation sequencing methods were used to provide complete plastome sequences for 12 species. Sanger sequencing was performed to determine the plastome of one species, Hakonechloa macra, to provide a reference for annotation. These analyses were conducted to resolve deep subfamilial relationships within the clade. Divergence estimates were assessed to determine potential factors that led to the rapid radiation of this lineage and its dominance of warmer open habitats. New plastomes were completely sequenced and characterized for 13 PACMAD species. An autapomorphic ~1140 bp deletion was found in Hakonechloa macra putatively pseudogenizing rpl14 and eliminating rpl16 from this plastome. Phylogenomic analyses support Panicoideae as the sister group to the ACMAD clade. Complete plastome sequences provide greater support at deep nodes within the PACMAD clade. The initial diversification of PACMAD subfamilies was estimated to occur at 32.4 mya. Phylogenomic analyses of complete plastomes provides resolution for deep relationships of PACMAD grasses. The divergence estimate of 32.4 mya at the crown node of the PACMAD clade coincides with the Eocene-Oligocene Transition (EOT). The Eocene was a period of global cooling and drying, which led to forest fragmentation and the expansion of open habitats now dominated by these grasses. Understanding how these grasses are related and determining a cause for their rapid radiation allows for future predictions of grassland distribution in the face of a changing global climate.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
South Africa 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 11 17%
Student > Master 6 9%
Student > Doctoral Student 5 8%
Professor 4 6%
Other 13 20%
Unknown 13 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 61%
Biochemistry, Genetics and Molecular Biology 7 11%
Earth and Planetary Sciences 2 3%
Mathematics 1 2%
Environmental Science 1 2%
Other 0 0%
Unknown 14 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 July 2015.
All research outputs
#12,637,265
of 22,816,807 outputs
Outputs from BMC Plant Biology
#812
of 3,246 outputs
Outputs of similar age
#112,064
of 262,931 outputs
Outputs of similar age from BMC Plant Biology
#20
of 70 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,246 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 74% 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 262,931 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 56% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.