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Identification and functional analysis of secreted effectors from phytoparasitic nematodes

Overview of attention for article published in BMC Microbiology, March 2016
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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8 X users

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Title
Identification and functional analysis of secreted effectors from phytoparasitic nematodes
Published in
BMC Microbiology, March 2016
DOI 10.1186/s12866-016-0632-8
Pubmed ID
Authors

Sajid Rehman, Vijai K. Gupta, Aakash K. Goyal

Abstract

Plant parasitic nematodes develop an intimate and long-term feeding relationship with their host plants. They induce a multi-nucleate feeding site close to the vascular bundle in the roots of their host plant and remain sessile for the rest of their life. Nematode secretions, produced in the oesophageal glands and secreted through a hollow stylet into the host plant cytoplasm, are believed to play key role in pathogenesis. To combat these persistent pathogens, the identity and functional analysis of secreted effectors can serve as a key to devise durable control measures. In this review, we will recapitulate the knowledge over the identification and functional characterization of secreted nematode effector repertoire from phytoparasitic nematodes. Despite considerable efforts, the identity of genes encoding nematode secreted proteins has long been severely hampered because of their microscopic size, long generation time and obligate biotrophic nature. The methodologies such as bioinformatics, protein structure modeling, in situ hybridization microscopy, and protein-protein interaction have been used to identify and to attribute functions to the effectors. In addition, RNA interference (RNAi) has been instrumental to decipher the role of the genes encoding secreted effectors necessary for parasitism and genes attributed to normal development. Recent comparative and functional genomic approaches have accelerated the identification of effectors from phytoparasitic nematodes and offers opportunities to control these pathogens. Plant parasitic nematodes pose a serious threat to global food security of various economically important crops. There is a wealth of genomic and transcriptomic information available on plant parasitic nematodes and comparative genomics has identified many effectors. Bioengineering crops with dsRNA of phytonematode genes can disrupt the life cycle of parasitic nematodes and therefore holds great promise to develop resistant crops against plant-parasitic nematodes.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 <1%
France 1 <1%
Unknown 149 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 23%
Student > Master 24 16%
Researcher 21 14%
Student > Bachelor 15 10%
Student > Doctoral Student 11 7%
Other 19 13%
Unknown 27 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 56%
Biochemistry, Genetics and Molecular Biology 17 11%
Environmental Science 4 3%
Computer Science 3 2%
Chemistry 2 1%
Other 8 5%
Unknown 33 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 January 2021.
All research outputs
#6,970,683
of 22,856,968 outputs
Outputs from BMC Microbiology
#775
of 3,193 outputs
Outputs of similar age
#98,380
of 299,504 outputs
Outputs of similar age from BMC Microbiology
#26
of 62 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,193 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 74% 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 299,504 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 66% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.