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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Updated: Dec 28, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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Open Science principles for accelerating trait-based science across the Tree of Life.

Rachael V Gallagher1, Daniel S Falster2, Brian S Maitner3

  • 1Department of Biological Sciences, Macquarie University, Sydney, New South Wales, Australia. rachael.gallagher@mq.edu.au.

Nature Ecology & Evolution
|February 19, 2020
PubMed
Summary
This summary is machine-generated.

Synthesizing species trait data globally is challenging. The Open Traits Network (OTN) promotes open science principles to standardize and integrate trait data across the Tree of Life, accelerating biodiversity research.

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Area of Science:

  • Biodiversity Science
  • Ecology
  • Evolutionary Science
  • Data Science
  • Informatics

Background:

  • Synthesizing trait observations across the Tree of Life is a significant challenge in biodiversity science.
  • Rapid proliferation of new data and methods in species traits contrasts with difficulties in accessing and integrating disparate data sources.
  • A global synthesis of trait data is crucial for advancing ecological and evolutionary research.

Purpose of the Study:

  • To outline how Open Science principles (open data, open source, open methods) can transform trait science.
  • To introduce the Open Traits Network (OTN) as a global community to standardize and integrate trait data.
  • To propose activities that accelerate the synthesis of trait data across the Tree of Life.

Main Methods:

  • Adoption and promotion of Open Science principles: open data, open source, and open methods.
  • Establishment of the Open Traits Network (OTN) as a decentralized, global research community.
  • Identification of five key activities to accelerate trait data synthesis.

Main Results:

  • Open Science principles increase transparency, democratize access, and accelerate global synthesis of trait data.
  • The OTN provides a framework for collaborative standardization and integration of trait data.
  • The proposed activities are expected to facilitate rapid advances in addressing scientific inquiries and environmental issues.

Conclusions:

  • Adherence to Open Science principles is fundamental for the OTN and the advancement of trait science.
  • The OTN community and its proposed activities offer a path toward a global synthesis of trait data.
  • Lessons learned can inform solutions for complex data science and informatics challenges in biodiversity research.