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

Overview of attention for article published in Plant, Cell & Environment, November 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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7 X users

Citations

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53 Dimensions

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106 Mendeley
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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 16%
Student > Ph. D. Student 16 15%
Student > Master 12 11%
Student > Bachelor 10 9%
Student > Doctoral Student 7 7%
Other 16 15%
Unknown 28 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 44%
Biochemistry, Genetics and Molecular Biology 12 11%
Medicine and Dentistry 2 2%
Unspecified 1 <1%
Nursing and Health Professions 1 <1%
Other 6 6%
Unknown 37 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#7,066,204
of 25,477,125 outputs
Outputs from Plant, Cell & Environment
#968
of 3,094 outputs
Outputs of similar age
#128,459
of 447,014 outputs
Outputs of similar age from Plant, Cell & Environment
#12
of 48 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,094 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 68% 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 447,014 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 71% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.