Article (Scientific journals)
Lower statistical support with larger datasets: insights from the Ochrophyta radiation.
Di Franco, Arnaud; Baurain, Denis; Glöckner, Gernot et al.
2021In Molecular Biology and Evolution
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Keywords :
Long Branch Attraction; Model of sequence evolution; Phylogenetic signal; Phylogenomics; Radiations
Abstract :
[en] It is commonly assumed that increasing the number of characters has the potential to resolve evolutionary radiations. Here, we studied photosynthetic stramenopiles (Ochrophyta) using alignments of heterogeneous origin mitochondrion, plastid and nucleus). Surprisingly while statistical support for the relationships between the six major Ochrophyta lineages increases when comparing the mitochondrion (6,762 sites) and plastid (21,692 sites) trees, it decreases in the nuclear (209,105 sites) tree. Statistical support is not simply related to the dataset size but also to the quantity of phylogenetic signal available at each position and our ability to extract it. Here, we show that this ability for current phylogenetic methods is limited, because conflicting results were obtained when varying taxon sampling. Even though the use of a better fitting model improved signal extraction and reduced the observed conflicts, the plastid dataset provided higher statistical support for the ochrophyte radiation than the larger nucleus dataset. We propose that the higher support observed in the plastid tree is due to an acceleration of the evolutionary rate in one short deep internal branch, implying that more phylogenetic signal per position is available to resolve the Ochrophyta radiation in the plastid than in the nuclear dataset. Our work therefore suggests that, in order to resolve radiations, beyond the obvious use of datasets with more positions, we need to continue developing models of sequence evolution that better extract the phylogenetic signal and design methods to search for genes/characters that contain more signal specifically for short internal branches.
Disciplines :
Aquatic sciences & oceanology
Phytobiology (plant sciences, forestry, mycology...)
Genetics & genetic processes
Microbiology
Author, co-author :
Di Franco, Arnaud
Baurain, Denis  ;  Université de Liège - ULiège > Département des sciences de la vie > Phylogénomique des eucaryotes
Glöckner, Gernot
Melkonian, Michael
Philippe, Hervé
Language :
English
Title :
Lower statistical support with larger datasets: insights from the Ochrophyta radiation.
Publication date :
2021
Journal title :
Molecular Biology and Evolution
ISSN :
0737-4038
eISSN :
1537-1719
Publisher :
Oxford University Press, United Kingdom
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif
Funders :
CFI - Canada Foundation for Innovation [CA]
Ministère de l’Economie, de la science et de l’innovation du Québec (MESI)
FRQNT - Fonds de Recherche du Québec - Nature et Technologies [CA]
CÉCI - Consortium des Équipements de Calcul Intensif [BE]
BELSPO - Politique scientifique fédérale [BE]
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
ANR - Agence Nationale de la Recherche [FR]
Commentary :
© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.
Available on ORBi :
since 08 January 2022

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