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mirMachine: A One-Stop Shop for Plant miRNA Annotation

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Nematode gene annotation by machine-learning-assisted proteotranscriptomics enables proteome-wide evolutionary

Alejandro Ceron-Noriega¹, Miguel V Almeida¹, Michal Levin¹

¹Institute of Molecular Biology (IMB), 55128 Mainz, Germany.

Genome Research

|January 18, 2023

Summary

This summary is machine-generated.

This study enhances gene annotations for nematode species using proteotranscriptomics, revealing new genes and evolutionary insights. This research improves our understanding of nematode diversity and evolution.

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A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes

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Published on: March 1, 2022

Area of Science:

Zoology
Genomics
Evolutionary Biology

Background:

Nematodes represent over 80% of soil metazoan diversity, with a deep evolutionary history.
High-quality gene annotations are lacking for most of the >24,000 described nematode species.
Understanding nematode genomes is crucial for exploring their ecological roles and evolutionary trajectory.

Purpose of the Study:

To improve and generate comprehensive gene annotations for multiple nematode species.
To leverage proteotranscriptomics for enhanced genomic data quality and discovery.
To provide new insights into nematode evolutionary processes through phylogenetic analysis.

Main Methods:

Proteotranscriptomics: integrating short-read RNA sequencing, mass spectrometry-based proteomics, and machine learning.
Application to nine genome-sequenced nematode species for annotation improvement.
Analysis of three additional nematode species lacking genome assemblies.

Main Results:

Improved gene annotations for nine nematode species and novel annotations for three others.
Identification of two previously undescribed genes in *Caenorhabditis elegans*.
Phylogenetic analysis yielding new insights into nematode evolutionary history.

Conclusions:

Proteotranscriptomics is a sensitive and effective method for nematode gene annotation.
The enhanced annotations facilitate deeper understanding of nematode biodiversity and evolution.
This work provides a foundation for future genomic and evolutionary studies in nematodes.