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Leaf-associated bacterial microbiota of coffee and its correlation with manganese and calcium levels on leaves

Overview of attention for article published in Genetics and Molecular Biology, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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Title
Leaf-associated bacterial microbiota of coffee and its correlation with manganese and calcium levels on leaves
Published in
Genetics and Molecular Biology, May 2018
DOI 10.1590/1678-4685-gmb-2017-0255
Pubmed ID
Authors

Leandro Pio de Sousa, Marcio José da Silva, Jorge Maurício Costa Mondego

Abstract

Coffee is one of the most valuable agricultural commodities and the plants' leaves are the primary site of infection for most coffee diseases, such as the devastating coffee leaf rust. Therefore, the use of bacterial microbiota that inhabits coffee leaves to fight infections could be an alternative agricultural method to protect against coffee diseases. Here, we report the leaf-associated bacteria in three coffee genotypes over the course of a year, with the aim to determine the diversity of bacterial microbiota. The results indicate a prevalence of Enterobacteriales in Coffea canephora, Pseudomonadales in C. arabica 'Obatã', and an intriguing lack of bacterial dominance in C. arabica 'Catuaí'. Using PERMANOVA analyses, we assessed the association between bacterial abundance in the coffee genotypes and environmental parameters such as temperature, precipitation, and mineral nutrients in the leaves. We detected a close relationship between the amount of Mn and the abundance of Pseudomonadales in 'Obatã' and the amount of Ca and the abundance of Enterobacteriales in C. canephora. We suggest that mineral nutrients can be key drivers that shape leaf microbial communities.

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The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 23%
Student > Master 6 17%
Student > Ph. D. Student 4 11%
Student > Postgraduate 3 9%
Student > Doctoral Student 2 6%
Other 5 14%
Unknown 7 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 40%
Biochemistry, Genetics and Molecular Biology 3 9%
Environmental Science 3 9%
Immunology and Microbiology 3 9%
Social Sciences 1 3%
Other 3 9%
Unknown 8 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 23 May 2018.
All research outputs
#4,721,995
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#64
of 772 outputs
Outputs of similar age
#84,857
of 342,434 outputs
Outputs of similar age from Genetics and Molecular Biology
#1
of 15 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 91% 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 342,434 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.