↓ Skip to main content

The genetic architecture of photosynthesis and plant growth-related traits in tomato

Overview of attention for article published in Plant, Cell & Environment, November 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
73 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The genetic architecture of photosynthesis and plant growth-related traits in tomato
Published in
Plant, Cell & Environment, November 2017
DOI 10.1111/pce.13084
Pubmed ID
Authors

Franklin Magnum de Oliveira Silva, Gabriel Lichtenstein, Saleh Alseekh, Laise Rosado-Souza, Mariana Conte, Vanessa Fuentes Suguiyama, Bruno Silvestre Lira, Dimitrios Fanourakis, Björn Usadel, Leonardo Lopes Bhering, Fábio M. DaMatta, Ronan Sulpice, Wagner L. Araújo, Magdalena Rossi, Nathalia de Setta, Alisdair R. Fernie, Fernando Carrari, Adriano Nunes-Nesi

Abstract

To identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines (ILs) was analyzed. We determined phenotypes for physiological, metabolic and growth related traits, including gas-exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic QTL with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and ten genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whilst twelve BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these QTL allowed us to identify a total of 87 candidate genes which putatively control the investigated traits. We confirmed eight of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes which most likely regulate photosynthesis, primary metabolism and plant growth, and as such provide new avenues for crop improvement.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 14 19%
Student > Master 9 12%
Professor 5 7%
Professor > Associate Professor 4 5%
Other 12 16%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 52%
Biochemistry, Genetics and Molecular Biology 10 14%
Arts and Humanities 1 1%
Environmental Science 1 1%
Nursing and Health Professions 1 1%
Other 3 4%
Unknown 19 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 July 2020.
All research outputs
#3,955,386
of 16,600,302 outputs
Outputs from Plant, Cell & Environment
#526
of 2,314 outputs
Outputs of similar age
#87,778
of 327,013 outputs
Outputs of similar age from Plant, Cell & Environment
#14
of 74 outputs
Altmetric has tracked 16,600,302 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,314 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 77% 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 327,013 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 73% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.