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Monogenean anchor morphometry: systematic value, phylogenetic signal, and evolution
Tsung Fei Khang1, Oi Yoon Michelle Soo2, Wooi Boon Tan3
1Institute of Mathematical Sciences, University of Malaya , Kuala Lumpur , Malaysia.
Monogenean parasite anchors show significant shape and size variation linked to their host fish and evolutionary history. This study reveals anchors are integrated structures valuable for parasite systematics and evolution research.
Area of Science:
- Parasitology
- Evolutionary Biology
- Systematics
Background:
- Monogenean parasite anchors are crucial attachment appendages.
- Anchor morphometry provides insights into parasite evolution and systematics.
- Geometric morphometrics combined with molecular data can address biological questions.
Purpose of the Study:
- To analyze anchor morphometry in 13 Ligophorus species infecting two marine fish hosts.
- To investigate phylogenetic signals and evolutionary constraints in anchor shape and size.
- To test the Rohde-Hobbs hypothesis regarding anchor morphology and male copulatory organs.
Main Methods:
- Geometric morphometrics applied to 530 anchor specimens.
- Phylogenetic analysis using 28S, 18S rRNA, and ITS1 sequences.
- Statistical analyses including principal component analysis, cluster analysis, and phylogenetic regression.
- Development of the monogeneaGM R package for integrated data analysis.
Main Results:
- 12 of 13 Ligophorus species were discriminated by anchor shape.
- Significant phylogenetic signal detected in anchor shape, revealing new morphological characters.
- Anchor size and shape correlated significantly, indicating evolutionary constraints.
- Anchors function as integrated modules, with male copulatory organ morphology correlating with anchor traits.
Conclusions:
- Monogenean anchors are tightly integrated structures with shape variation strongly correlated with phylogeny.
- Anchor morphometry is a valuable tool for systematic and evolutionary studies of monogenean parasites.
- The monogeneaGM R package facilitates research on monogenean geometric morphometric data.
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