Research output: Contribution to journal › Article › peer-review
Proteomic similarity of the Littorinid snails in the evolutionary context. / Maltseva, Arina L. ; Varfolomeeva, Marina A. ; Lobov, Arseniy A. ; Tikanova, Polina ; Panova, Marina ; Mikhailova, Natalia A. ; Granovitch, Andrei I. .
In: PeerJ, Vol. 8, No. 2, e8546, 13.02.2020.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Proteomic similarity of the Littorinid snails in the evolutionary context
AU - Maltseva, Arina L.
AU - Varfolomeeva, Marina A.
AU - Lobov, Arseniy A.
AU - Tikanova, Polina
AU - Panova, Marina
AU - Mikhailova, Natalia A.
AU - Granovitch, Andrei I.
N1 - Publisher Copyright: © 2020 Maltseva et al.
PY - 2020/2/13
Y1 - 2020/2/13
N2 - Background: The introduction of DNA-based molecular markers made a revolution in biological systematics. However, in cases of very recent divergence events, the neutral divergence may be too slow, and the analysis of adaptive part of the genome is more informative to reconstruct the recent evolutionary history of young species. The advantage of proteomics is its ability to reflect the biochemical machinery of life. It may help both to identify rapidly evolving genes and to interpret their functions. Methods: Here we applied a comparative gel-based proteomic analysis to several species from the gastropod family Littorinidae. Proteomes were clustered to assess differences related to species, geographic location, sex and body part, using data on presence/absence of proteins in samples and data on protein occurrence frequency in samples of different species. Cluster support was assessed using multiscale bootstrap resampling and the stability of clustering—using cluster-wise index of cluster stability. Taxon-specific protein markers were derived using IndVal method. Proteomic trees were compared to consensus phylogenetic tree (based on neutral genetic markers) using estimates of the Robinson–Foulds distance, the Fowlkes–Mallows index and cophenetic correlation. Results: Overall, the DNA-based phylogenetic tree and the proteomic similarity tree had consistent topologies. Further, we observed some interesting deviations of the proteomic littorinid tree from the neutral expectations. (1) There were signs of molecular parallelism in two Littoraria species that phylogenetically are quite distant, but live in similar habitats. (2) Proteome divergence was unexpectedly high between very closely related Littorina fabalis and L. obtusata, possibly reflecting their ecology-driven divergence. (3) Conservative house-keeping proteins were usually identified as markers for cryptic species groups (“saxatilis” and “obtusata” groups in the Littorina genus) and for genera (Littoraria and Echinolittorina species pairs), while metabolic enzymes and stress-related proteins (both potentially adaptively important) were often identified as markers supporting species branches. (4) In all five Littorina species British populations were separated from the European mainland populations, possibly reflecting their recent phylogeographic history. Altogether our study shows that proteomic data, when interpreted in the context of DNA-based phylogeny, can bring additional information on the evolutionary history of species.
AB - Background: The introduction of DNA-based molecular markers made a revolution in biological systematics. However, in cases of very recent divergence events, the neutral divergence may be too slow, and the analysis of adaptive part of the genome is more informative to reconstruct the recent evolutionary history of young species. The advantage of proteomics is its ability to reflect the biochemical machinery of life. It may help both to identify rapidly evolving genes and to interpret their functions. Methods: Here we applied a comparative gel-based proteomic analysis to several species from the gastropod family Littorinidae. Proteomes were clustered to assess differences related to species, geographic location, sex and body part, using data on presence/absence of proteins in samples and data on protein occurrence frequency in samples of different species. Cluster support was assessed using multiscale bootstrap resampling and the stability of clustering—using cluster-wise index of cluster stability. Taxon-specific protein markers were derived using IndVal method. Proteomic trees were compared to consensus phylogenetic tree (based on neutral genetic markers) using estimates of the Robinson–Foulds distance, the Fowlkes–Mallows index and cophenetic correlation. Results: Overall, the DNA-based phylogenetic tree and the proteomic similarity tree had consistent topologies. Further, we observed some interesting deviations of the proteomic littorinid tree from the neutral expectations. (1) There were signs of molecular parallelism in two Littoraria species that phylogenetically are quite distant, but live in similar habitats. (2) Proteome divergence was unexpectedly high between very closely related Littorina fabalis and L. obtusata, possibly reflecting their ecology-driven divergence. (3) Conservative house-keeping proteins were usually identified as markers for cryptic species groups (“saxatilis” and “obtusata” groups in the Littorina genus) and for genera (Littoraria and Echinolittorina species pairs), while metabolic enzymes and stress-related proteins (both potentially adaptively important) were often identified as markers supporting species branches. (4) In all five Littorina species British populations were separated from the European mainland populations, possibly reflecting their recent phylogeographic history. Altogether our study shows that proteomic data, when interpreted in the context of DNA-based phylogeny, can bring additional information on the evolutionary history of species.
KW - taxonomy
KW - cryptic species
KW - phylogenetic markers
KW - outliers
KW - proteomics
KW - Littorinidae
KW - taxon-specific proteomic markers
KW - ecological divergence
KW - phylogeny
KW - IndVal
KW - taxonomy
KW - Cryptic Species
KW - phylogenetic markers
KW - outliers
KW - Proteomics
KW - Littorinidae
KW - taxon-specific proteomic markers
KW - ecological divergence
KW - Phylogeny
KW - IndVal
KW - Taxonomy
KW - Taxon-specific proteomic markers
KW - Outliers
KW - Ecological divergence
KW - Cryptic species
KW - Phylogenetic markers
KW - SPECIES COMPLEX
KW - PROTEIN
KW - GENUS LITTORINA
KW - SPECIATION
KW - SPATIAL-DISTRIBUTION
KW - MAXIMUM-LIKELIHOOD-ESTIMATION
KW - LITTORARIA-ARDOUINIANA
KW - OF-THE-ART
KW - GEL-ELECTROPHORESIS
KW - MOLECULAR MARKERS
UR - http://www.scopus.com/inward/record.url?scp=85079608552&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/166c6f41-32e3-30f0-ace1-ed522a7b45fd/
U2 - 10.7717/peerj.8546
DO - 10.7717/peerj.8546
M3 - Article
C2 - 32095363
VL - 8
JO - PeerJ
JF - PeerJ
SN - 2167-8359
IS - 2
M1 - e8546
ER -
ID: 51252943