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Evolutionary Relationships through Genome Comparisons

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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: May 24, 2025

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

Published on: July 22, 2016

Comparing Small and Large Genomes Within Monogonont Rotifers.

Jonathon E Mohl¹, Patrick D Brown², Aaron J Robbins²

¹Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX 79968, USA.

Genome Biology and Evolution

|March 6, 2025

Summary

This summary is machine-generated.

Genome size in rotifers correlates with body size and metabolic rate, driven by increased protein numbers, not repetitive DNA. This study expands rotifer genome data for evolutionary research.

Keywords:

Rotifera body size genome size metabolic rate repetitive elements

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Area of Science:

* Evolutionary biology
* Genomics
* Animal physiology

Background:

* Genome size influences biological traits like body size and metabolic rate.
* Understanding genome size variation requires broader taxonomic sampling, especially in nonmodel organisms like monogonont rotifers.
* Previous studies were limited by sparse genomic data in the phylum Rotifera.

Purpose of the Study:

* To estimate genome sizes for nine monogonont rotifer species using Nanopore sequencing and flow cytometry.
* To investigate the relationship between genome size, body size, and metabolic rate in rotifers.
* To identify the genomic mechanisms driving genome size variation in this group.

Main Methods:

* High-throughput Nanopore sequencing for genome assembly.
* Flow cytometry for independent genome size estimation.
* Respirometry to measure oxygen consumption as a proxy for metabolic rate.
* Comparative analysis of genome size with body size and metabolic rate data.

Main Results:

* Consistent genome size estimates were obtained from both sequencing and flow cytometry.
* Genome size was positively correlated with both body size and size-specific respiration rate.
* Genome size variation was not explained by repetitive elements or large duplications.
* Increased genome size correlated with a higher number of predicted proteins, many with unknown functions.

Conclusions:

* Genome size in monogonont rotifers is linked to body size and metabolic rate.
* The primary driver of genome size increase appears to be an expansion of predicted proteins, rather than repetitive DNA.
* This research significantly broadens the genomic resources for the phylum Rotifera, enabling future studies on evolutionary and ecological genetics.