Genome Reduction: Does size really matter?

Analysis of the smallest known arthropod genome reveals a mechanism for genome reduction that appears to be driven by a specialized ecological interaction with plants.
  1. David G Heckel  Is a corresponding author
  1. Department of Entomology, Max Planck Institute for Chemical Ecology, Germany

When it comes to animals, the saying ‘the bigger the better’ does not always hold true. Being small comes with some advantages, such as needing fewer resources or having more opportunities to hide or escape from predators. Take, for example, the tomato russet mite Aculops lycopersici, which is a pest that can cause serious damage to tomatoes and other related plants (including potatoes, tobacco and various peppers), even though it is among the tiniest animals on Earth and smaller than some single-celled organisms.

The tomato russet mite feeds on the outer epidermal cells of plant leaves by piercing the cell wall, secreting proteins and other compounds into the cell, and then sucking out the contents (Figure 1). Many plants rely on the jasmonic acid pathway to turn on their defenses against mites and other herbivores (Howe and Jander, 2008), but Aculops and other tomato-feeding mites can inhibit this pathway, although the mechanisms they use to do this remain unknown (Schimmel et al., 2018).

Mites on a leaf.

A spider mite (brown, left) towers above two russet mites (white, right) among the trichomes of a tomato leaf. Both species can suppress the signaling pathways used by the plant to upregulate anti-herbivore defenses, but it remains unclear how tomato russet mites do this.

Image Credit: Jan van Arkel (IBED, University of Amsterdam) from Glas et al., 2014 (CC BY 4.0).

Comparative genomics of chelicerates – a large group of arthropods to which the tomato russet mite belongs – has already revealed significant differences to insects and could hold the clue to why these mites are such successful crop pests. Now, in eLife, Merijn Kant (University of Amsterdam), Richard Clark (University of Utah) and colleagues – including Robert Greenhalgh (University of Utah) and Wannes Dermauw (Ghent University) as joint first authors – report new insights on mite genomics (Greenhalgh et al., 2020).

The researchers sequenced the genome of Aculops mites and discovered that they have the smallest known arthropod genome to date,containing just 32.5 million bases. This was attained by an extreme reduction in both DNA content and gene number, especially in gene families involved in clearing toxins and sensing chemicals. Moreover, several transcription factors (proteins that help turn on and off genes) found in almost every other eukaryote were missing from the russet mite genome: this is puzzling because the mite is free-living, with no known symbiont that might complement its deficient gene repertoire.

The extent of DNA loss points to aggressive mechanisms for trimming down the genome. The average space between genes was about 540 base pairs, so that the number of base pairs between genes was roughly equal to the number coding for proteins. Any mechanism that has evolved to remove transposable elements (DNA sequences that can change their position within the genome) could achieve this, and also be responsible for the gene loss. Indeed, transposable elements account for less than 2% of the Aculops genome.

Moreover, there was a massive loss of non-coding DNA within genes: over 80% did not have any introns –regions of DNA that interrupt the coding sequence and are ‘spliced out’ before proteins are made. Even intron positions that are highly conserved across related species were absent in the tomato russet mite. For the other 20% of genes, most had retained their introns at the 5' end, but lost them at the 3' end – a pattern that has also been observed in other intron-poor organisms (Mourier and Jeffares, 2003; Roy and Gilbert, 2005).

The mRNA from which all the introns have been spliced out can serve as the template for an enzyme called reverse transcriptase, which makes single strands of DNA that are complementary to the mRNA. This process starts from the 3' end, and the resulting DNA can be integrated into the genome at the site of the original gene, replacing the original 3' end (which had introns) with a new 3' end (which has no introns). The 5' end (and its intron) remains intact. This mechanism would seamlessly ‘erase’ some introns (replacing the genomic DNA with intron-free sequence), rather than ‘excising’ them (physically cutting them out of the genomic DNA), although Greenhalgh et al. did find a few instances of imprecise excision. The enzymes responsible for these manipulations belong to the toolkit of retrotransposons, elements that can move by copying RNA into DNA, but they have yet to be identified in the russet mite.

Although the mechanisms of genome reduction can be envisioned, the evolutionary driving force behind them remains an enigma. Plant-parasitizing mites seem to have created their own niche among herbivores by manipulating plant biochemistry in ways where a small body size is an advantage. Shielded by leaf hairs and crevices, these tiny leaf feeders remain well hidden from most predators. Some mite species even hormonally manipulate plant structures into galls that encase them. The epidermal cells in plants are also relatively poor in nutrients, putting a premium on small size and high efficiency.

Paradoxically, the extreme genome reduction of Aculops lycopersici runs counter to adaptations of most insect herbivores studied to date, which usually show great expansions in gene families relevant for sensing chemicals and destroying toxins. How this mite can manipulate a plant’s defense mechanisms continues to remain a mystery. Comparisons to other tomato-feeding mites showed few similarities in the composition of saliva proteins, which are presumed to inactivate the plant's defensive signaling pathways.

So, what scenarios could explain a tendency to minimize the genome, and could they really lead to better adaptations of the parasite? The fitness cost of gene loss might not immediately be balanced by a reduced size, but a short generation time of four days would facilitate a rapid evolutionary adjustment to compensate. Since infestations may start with one or a few dispersing individuals but then rapidly explode to huge population sizes, random genetic drift could further accelerate the process. Can (small) size matter so much to fitness to sustain the continuous and gradual erosion of DNA that ultimately shaped the russet mite of the 21st century? Unraveling the evolutionary dynamics of this process could be the greatest benefit of a comparative study of parasitic mites and their relatives.


Article and author information

Author details

  1. David G Heckel

    David G Heckel is in the Department of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany

    For correspondence
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8991-2150

Publication history

  1. Version of Record published: December 8, 2020 (version 1)


© 2020, Heckel

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.


  • 1,555
    Page views
  • 132
  • 0

Article citation count generated by polling the highest count across the following sources: Crossref, PubMed Central, Scopus.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. David G Heckel
Genome Reduction: Does size really matter?
eLife 9:e64483.
  1. Further reading

Further reading

    1. Computational and Systems Biology
    2. Evolutionary Biology
    Guillem Santamaria, Chen Liao ... Joao B Xavier
    Research Article Updated

    Microbes have disproportionate impacts on the macroscopic world. This is in part due to their ability to grow to large populations that collectively secrete massive amounts of secondary metabolites and alter their environment. Yet, the conditions favoring secondary metabolism despite the potential costs for primary metabolism remain unclear. Here we investigated the biosurfactants that the bacterium Pseudomonas aeruginosa makes and secretes to decrease the surface tension of surrounding liquid. Using a combination of genomics, metabolomics, transcriptomics, and mathematical modeling we show that the ability to make surfactants from glycerol varies inconsistently across the phylogenetic tree; instead, lineages that lost this ability are also worse at reducing the oxidative stress of primary metabolism on glycerol. Experiments with different carbon sources support a link with oxidative stress that explains the inconsistent distribution across the P. aeruginosa phylogeny and suggests a general principle: P. aeruginosa lineages produce surfactants if they can reduce the oxidative stress produced by primary metabolism and have excess resources, beyond their primary needs, to afford secondary metabolism. These results add a new layer to the regulation of a secondary metabolite unessential for primary metabolism but important to change physical properties of the environments surrounding bacterial populations.

    1. Evolutionary Biology
    2. Neuroscience
    Antoine Beauchamp, Yohan Yee ... Jason P Lerch
    Research Advance Updated

    The ever-increasing use of mouse models in preclinical neuroscience research calls for an improvement in the methods used to translate findings between mouse and human brains. Previously, we showed that the brains of primates can be compared in a direct quantitative manner using a common reference space built from white matter tractography data (Mars et al., 2018b). Here, we extend the common space approach to evaluate the similarity of mouse and human brain regions using openly accessible brain-wide transcriptomic data sets. We show that mouse-human homologous genes capture broad patterns of neuroanatomical organization, but the resolution of cross-species correspondences can be improved using a novel supervised machine learning approach. Using this method, we demonstrate that sensorimotor subdivisions of the neocortex exhibit greater similarity between species, compared with supramodal subdivisions, and mouse isocortical regions separate into sensorimotor and supramodal clusters based on their similarity to human cortical regions. We also find that mouse and human striatal regions are strongly conserved, with the mouse caudoputamen exhibiting an equal degree of similarity to both the human caudate and putamen.