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Related Concept Videos

Microbe-Plant Interactions01:09

Microbe-Plant Interactions

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Microbe-plant interactions represent a dynamic spectrum of associations shaped by intricate chemical signaling. These interactions can be neutral, beneficial, or detrimental, and profoundly influence plant physiology, growth, and ecosystem function. The plant microbiome, comprising bacteria, fungi, archaea, protists, and viruses, plays a pivotal role in mediating these effects through surface colonization, internal colonization, or systemic symbiosis.Mutualistic associations, particularly with...
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Pathogen colonization of host tissues is a critical step in the development of infectious diseases. Various pathogenic microorganisms, including bacteria, fungi, viruses, and protozoa, have evolved complex strategies to attach to, invade, and persist within host environments. These mechanisms enable pathogens to establish infections, evade immune responses, and resist antimicrobial treatments.Attachment to Host CellsIn bacteria, colonization typically begins with adherence to host epithelial...
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Updated: Mar 21, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

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Plant transcriptomes reveal hidden guests.

Jiao Zhu1, Guirong Wang1, Paolo Pelosi1

  • 1State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

Biochemical and Biophysical Research Communications
|May 1, 2016
PubMed
Summary
This summary is machine-generated.

Contaminating insect DNA in plant transcriptomes can reveal valuable information. This study found olfactory proteins and Niemann-Pick sequences, aiding in understanding plant-insect interactions and identifying new insect species.

Keywords:
Chemosensory proteinsHorizontal gene transferNiemann-Pick proteinsOdorant-binding proteinsPlant transcriptomesPlant–insect relationships

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Area of Science:

  • Genomics
  • Bioinformatics
  • Entomology

Background:

  • Transcriptome sequencing generates vast data, but contamination is a significant issue.
  • Plant databases can contain spurious sequences from external biological sources, like insects.

Purpose of the Study:

  • To investigate the potential benefits of identifying and analyzing contaminating sequences in plant transcriptomes.
  • To explore the utility of insect-derived sequences found in plant datasets for ecological and evolutionary research.

Main Methods:

  • Analysis of plant transcriptome databases to identify non-plant sequences.
  • Bioinformatic identification and classification of olfactory proteins (odorant-binding proteins - OBPs, chemosensory proteins - CSPs) and Niemann-Pick (Npc2) family proteins.
  • Tracing identified sequences to specific insect or arthropod species.

Main Results:

  • A significant number of OBPs and CSPs, typically insect-specific, were identified in plant databases, indicating insect contamination.
  • Niemann-Pick (Npc2) family sequences, absent in plants but involved in insect chemical communication, were also detected.
  • In several instances, the contaminating insect or arthropod species responsible for these sequences were identified.

Conclusions:

  • Contaminating insect sequences in plant transcriptomes can be a valuable data source.
  • This approach can enhance understanding of plant-insect relationships and aid in discovering novel insect sequences.