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Record W2012259398 · doi:10.1093/gbe/evt018

Highlight: Mitochondrial First Steps Found in Jakobid Protists

2013· editorial· en· W2012259398 on OpenAlexaboutno aff
Danielle Venton

Bibliographic record

VenueGenome Biology and Evolution · 2013
Typeeditorial
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyTree of life (biology)EndosymbiosisProtozoan parasiteProtozoaMitochondrial DNAEvolutionary biologyPhylogenetic treeZoologyGeneticsPlastidGene

Abstract

fetched live from OpenAlex

For success in science, as well as life, it is sometimes necessary to abandon the plan and embrace serendipity. In 1991, Charles O'Kelly tried, for several frustrating weeks, to separate a golden alga, collected from a New Zealand sheep pond, from a contaminating protozoan. “I was trying to grow the alga and the protozoan would not die. So I thought, this is trying to tell me something,” says O'Kelly, still a protozoan-diversity enthusiast. O'Kelly decided to prepare the culture for transmission electron microscopy with the protozoan still in it. At that time, TEM was the preferred method for analyzing cellular structures in phylogenetic studies. “That was when I noticed the similarity of the protozoan with the living protozoa that lack mitochondria, and were then thought to have never had them.” Most scientists at that time believed that the earliest eukaryotes were mitochondria-free. Endosymbiosis, when a free-living bacterium took up residence in the eukaryotic cell and began providing energy, they thought, occurred after organisms such as Giardia split from the tree of life. “I thought, mitochondria evolved from this group somehow,” O'Kelly says. “If this hypothesis is accurate, we should be able to find an organism that represents an early stage in mitochondrial acquisition.” Hoping to find it, O'Kelly teamed up with a group of genome sequencers, including Gertraud Burger, to sequence the pesky protozoan's mitochondria. “We were very lucky (with Reclinomonas),” says Burger, a professor of biochemistry and bioinformatics at the Université de Montréal. “We hadn't seen mitochondrial genomes that looked so similar to bacterial genomes before.” Since then it has been a mystery if Reclinomonas is unique for having such bacteria-like features. Burger wondered whether there might be similar critters, perhaps those whose mitochondrial genomes resemble bacteria more closely. Indeed there are. In a recent study published in Genome Biology and Evolution, Burger et al. (2013) report a new, deeper link. The most ancestral mitochondrial genome to date, they write, is found in a protist named Andalucia—with genes present in bacteria but not seen before in any mitochondrion—not even Reclinomonas. Although endosymbiotic theory is well accepted, no living organism holds a mitochondrial genome that still looks like its bacterial ancestor. Many genes have been jettisoned. (Also, it was later discovered that mitochondria-free organisms such as Giardia once had mitochondria and subsequently lost them.) “This transition from bacterium to mitochondria went so fast it could seem like everything has been lost in one shot,” Burger says. “The intermediate steps have been missing. We're looking for links in that evolution.” One of those deep links is what they believe they have found in Andalucia—one of six jakobid species examined—belonging to the same group as Reclinomonas. For the research team, sequencing and comparing genomes was relatively straightforward; assembling the study material was not. “Choosing and getting the strains was our largest challenge,” Burger laments. “You can't just look up early eukaryotes in a catalogue of a culture collection and say, ‘I want this organism. Please send it to me.’” It was also a struggle to separate bacterial DNA from mitochondrial DNA, as jakobids need to be cultured together with live bacteria, their food source. The team is interested in exploring other ways the jakobid protists may be similar to bacteria. Mitochondrial DNA replication, Burger suspects, may be very similar to bacterial DNA replication. To peer into this further, Burger et al. have begun a new project to sequence the nuclear genome of Andalucia. This should more definitively answer whether jakobid protists truly are the most ancestral eukaryotes alive. The organism could perhaps become, Burger believes, a eukaryotic model organism for biochemical studies, shedding light on eukaryotic life's earliest steps. For all of our research, says Burger, “we are still very limited in the breadth of our knowledge about nature.” O'Kelly agrees: “It gives me incentive to go looking for the next protozoan weirdo.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0380.016

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.238
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes1
Has abstractyes

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