Well‐developed muscle attachments in British Albian inoceramids (Inoceramidae, Bivalvia): implications for inoceramid palaeobiology, evolution and taxonomy

Knight, Robin I.; Morris, Noel J.

doi:10.1002/spp2.1246

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…Its phylogenetic position within the Bivalvia, as well as its origins, composition, and stratigraphic range, remain controversial (Crame 1982;Crampton 1996;Kauffman & Runnegar 1975;Knight & Morris 2009). It was placed among the extinct superfamilies Praecardioida or Ambonychioidea, or in its own superfamily within Myalinida, and is overall considered to be part of Ostreida Knight & Morris 2019;Malchus 2004). Here it appears as sister to Pulvinitidae, on a branch that also includes Mytilidae and is sister to a large branch including Pinnidae, Pteriidae and Ostreidae.…”

Section: Phylogenetic Positions Of the Target Familiesmentioning

confidence: 99%

Assessing bivalve phylogeny using Deep Learning and Computer Vision approaches

Kiel

2021

Preprint

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Phylogenetic analyses using morphological data currently require hand-crafted character matrices, limiting the number of taxa that can be included. Here I explore how Deep Learning and Computer Vision approaches typically applied to image classification tasks, may be used to infer phylogenetic relationships among bivalves. A convolutional neural network (CNN) was trained on thousands of images showing species of 75 bivalve families. The predictions of the CNN on a large number of bivalve images are then interpreted as an indication of how similar these bivalves are to each other, are averaged by the families to which the species belonged, and visualized in a cluster diagram. In this cluster diagram, significantly more families clustered with members of their subclasses than expected by chance, confirming the feasibility of the approach. To address the issue of convergent evolution, two further CNNs were trained, on the same images but grouped by the orders and subclasses to which the species belonged. Combining predictions for the same images but on different taxonomic levels improved the inferred phylogenetic relationships also of families that the CNNs had not been trained on. Finally, this combined tree is merged with five published phylogenetic trees into a supertree, representing the largest single phylogeny of the Bivalvia to date, encompassing 128 families, including six exclusively fossil families and nine extant families for which presently no molecular data are available. Issues inherent to the approach and suggestions for future directions are discussed.

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Section: Phylogenetic Positions Of the Target Familiesmentioning

confidence: 99%