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Control of vein network topology by auxin transport

Overview of attention for article published in BMC Biology, November 2015
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 tweeters

Citations

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33 Dimensions

Readers on

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73 Mendeley
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Title
Control of vein network topology by auxin transport
Published in
BMC Biology, November 2015
DOI 10.1186/s12915-015-0208-3
Pubmed ID
Authors

Carla Verna, Megan G. Sawchuk, Nguyen Manh Linh, Enrico Scarpella

Abstract

Tissue networks such as the vascular networks of plant and animal organs transport signals and nutrients in most multicellular organisms. The transport function of tissue networks depends on topological features such as the number of networks' components and the components' connectedness; yet what controls tissue network topology is largely unknown, partly because of the difficulties in quantifying the effects of genes on tissue network topology. We address this problem for the vein networks of plant leaves by introducing biologically motivated descriptors of vein network topology; we combine these descriptors with cellular imaging and molecular genetic analysis; and we apply this combination of approaches to leaves of Arabidopsis thaliana that lack function of, overexpress or misexpress combinations of four PIN-FORMED (PIN) genes-PIN1, PIN5, PIN6, and PIN8-which encode transporters of the plant signal auxin and are known to control vein network geometry. We find that PIN1 inhibits vein formation and connection, and that PIN6 acts redundantly to PIN1 in these processes; however, the functions of PIN6 in vein formation are nonhomologous to those of PIN1, while the functions of PIN6 in vein connection are homologous to those of PIN1. We further find that PIN8 provides functions redundant and homologous to those of PIN6 in PIN1-dependent inhibition of vein formation, but that PIN8 has no functions in PIN1/PIN6-dependent inhibition of vein connection. Finally, we find that PIN5 promotes vein formation; that all the vein-formation-promoting functions of PIN5 are redundantly inhibited by PIN6 and PIN8; and that these functions of PIN5, PIN6, and PIN8 are independent of PIN1. Our results suggest that PIN-mediated auxin transport controls the formation of veins and their connection into networks.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 22%
Student > Ph. D. Student 14 19%
Researcher 12 16%
Student > Doctoral Student 4 5%
Professor 3 4%
Other 8 11%
Unknown 16 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 49%
Biochemistry, Genetics and Molecular Biology 12 16%
Physics and Astronomy 2 3%
Unspecified 1 1%
Psychology 1 1%
Other 3 4%
Unknown 18 25%

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 13 November 2015.
All research outputs
#6,441,226
of 12,175,982 outputs
Outputs from BMC Biology
#810
of 1,097 outputs
Outputs of similar age
#95,444
of 252,883 outputs
Outputs of similar age from BMC Biology
#22
of 34 outputs
Altmetric has tracked 12,175,982 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,097 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 252,883 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 61% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.