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2015 ; 370
(1684
): ä Nephropedia Template TP
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English Wikipedia
Embracing the comparative approach: how robust phylogenies and broader
developmental sampling impacts the understanding of nervous system evolution
#MMPMID26554039
Hejnol A
; Lowe CJ
Philos Trans R Soc Lond B Biol Sci
2015[Dec]; 370
(1684
): ä PMID26554039
show ga
Molecular biology has provided a rich dataset to develop hypotheses of nervous
system evolution. The startling patterning similarities between distantly related
animals during the development of their central nervous system (CNS) have
resulted in the hypothesis that a CNS with a single centralized medullary cord
and a partitioned brain is homologous across bilaterians. However, the ability to
precisely reconstruct ancestral neural architectures from molecular genetic
information requires that these gene networks specifically map with particular
neural anatomies. A growing body of literature representing the development of a
wider range of metazoan neural architectures demonstrates that patterning gene
network complexity is maintained in animals with more modest levels of neural
complexity. Furthermore, a robust phylogenetic framework that provides the basis
for testing the congruence of these homology hypotheses has been lacking since
the advent of the field of 'evo-devo'. Recent progress in molecular phylogenetics
is refining the necessary framework to test previous homology statements that
span large evolutionary distances. In this review, we describe recent advances in
animal phylogeny and exemplify for two neural characters-the partitioned brain of
arthropods and the ventral centralized nerve cords of annelids-a test for
congruence using this framework. The sequential sister taxa at the base of
Ecdysozoa and Spiralia comprise small, interstitial groups. This topology is not
consistent with the hypothesis of homology of tripartitioned brain of arthropods
and vertebrates as well as the ventral arthropod and rope-like ladder nervous
system of annelids. There can be exquisite conservation of gene regulatory
networks between distantly related groups with contrasting levels of nervous
system centralization and complexity. Consequently, the utility of molecular
characters to reconstruct ancestral neural organization in deep time is limited.