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New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta

Overview of attention for article published in Genetics and Molecular Biology, September 2018
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Title
New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta
Published in
Genetics and Molecular Biology, September 2018
DOI 10.1590/1678-4685-gmb-2017-0161
Pubmed ID
Authors

Michelle Pires Rincão, Mayra Costa da Cruz Gallo de Carvalho, Leandro Costa Nascimento, Valéria S. Lopes-Caitar, Kenia de Carvalho, Luana M. Darben, Alessandra Yokoyama, Marcelo Falsarella Carazzolle, Ricardo Vilela Abdelnoor, Francismar Correa Marcelino-Guimarães

Abstract

Asian soybean rust (ASR) is one of the most destructive diseases affecting soybeans. The causative agent of ASR, the fungus Phakopsora pachyrhizi, presents characteristics that make it difficult to study in vitro, limiting our knowledge of plant-pathogen dynamics. Therefore, this work used leaf lesion laser microdissection associated with deep sequencing to determine the pathogen transcriptome during compatible and incompatible interactions with soybean. The 36,350 generated unisequences provided an overview of the main genes and biological pathways that were active in the fungus during the infection cycle. We also identified the most expressed transcripts, including sequences similar to other fungal virulence and signaling proteins. Enriched P. pachyrhizi transcripts in the resistant (PI561356) soybean genotype were related to extracellular matrix organization and metabolic signaling pathways and, among infection structures, in amino acid metabolism and intracellular transport. Unisequences were further grouped into gene families along predicted sequences from 15 other fungi and oomycetes, including rust fungi, allowing the identification of conserved multigenic families, as well as being specific to P. pachyrhizi. The results revealed important biological processes observed in P. pachyrhizi, contributing with information related to fungal biology and, consequently, a better understanding of ASR.

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The data shown below were collected from the profiles of 2 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Student > Bachelor 6 19%
Researcher 5 16%
Student > Postgraduate 2 6%
Student > Ph. D. Student 1 3%
Other 2 6%
Unknown 8 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 35%
Biochemistry, Genetics and Molecular Biology 6 19%
Environmental Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 9 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 September 2018.
All research outputs
#15,175,718
of 25,385,509 outputs
Outputs from Genetics and Molecular Biology
#310
of 772 outputs
Outputs of similar age
#182,362
of 345,739 outputs
Outputs of similar age from Genetics and Molecular Biology
#7
of 9 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 57% 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 345,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.