Embracing Uncertainty in Reconstructing Early Animal Evolution.
نویسندگان
چکیده
The origin of animals, one of the major transitions in evolution, remains mysterious. Many key aspects of animal evolution can be reconstructed by comparing living species within a robust phylogenetic framework. However, uncertainty remains regarding the evolutionary relationships between two ancient animal lineages - sponges and ctenophores - and the remaining animal phyla. Comparative morphology and some phylogenomic analyses support the view that sponges represent the sister lineage to the rest of the animals, while other phylogenomic analyses support ctenophores, a phylum of carnivorous, gelatinous marine organisms, as the sister lineage. Here, we explore why different studies yield different answers and discuss the implications of the two alternative hypotheses for understanding the origin of animals. Reconstruction of ancient evolutionary radiations is devilishly difficult and will likely require broader sampling of sponge and ctenophore genomes, improved analytical strategies and critical analyses of the phylogenetic distribution and molecular mechanisms underlying apparently conserved traits. Rather than staking out positions in favor of the ctenophores-sister or the sponges-sister hypothesis, we submit that research programs aimed at understanding the biology of the first animals should instead embrace the uncertainty surrounding early animal evolution in their experimental designs.
منابع مشابه
Complex Homology and the Evolution of Nervous Systems.
We examine the complex evolution of animal nervous systems and discuss the ramifications of this complexity for inferring the nature of early animals. Although reconstructing the origins of nervous systems remains a central challenge in biology, and the phenotypic complexity of early animals remains controversial, a compelling picture is emerging. We now know that the nervous system and other k...
متن کاملStatistical tests between competing hypotheses of Hox cluster evolution.
The Hox genes encode transcription factors that play vital roles in the anterior-posterior patterning of all bilaterian phyla studied to date. Additionally, the gain of Hox genes by duplication has been widely implicated as a driving force in the evolution of animal body plans. Because of this, reconstructing the evolution of the Hox cluster has been the focus of intense research interest. It h...
متن کاملReconstructing ancestral character states: a critical reappraisal.
Using parsimony to reconstruct ancestral character states on a phylogenetic tree has become a popular method for testing ecological and evolutionary hypotheses. Despite its popularity, the assumptions and uncertainties of reconstructing the ancestral states of a single character have received less attention than the much less challenging endeavor of reconstructing phylogenetic trees from many c...
متن کاملDevelopmental Patterns in Spiralian Embryos
At least five animal phyla exhibit spiralian development, which is characterized by striking similarities in the geometry of the early cleavage pattern and the fate map of the blastula, along with similarities in larval morphology. Recent advances in reconstructing the phylogeny of spiralians and their relatives suggest that the common ancestor of a large clade of protostome phyla known as the ...
متن کاملA Green Competitive Vehicle Routing Problem under Uncertainty Solved by an Improved Differential Evolution Algorithm
Regarding the development of distribution systems in the recent decades, fuel consumption of trucks has increased noticeably, which has a huge impact on greenhouse gas emissions. For this reason, the reduction of fuel consumption has been one of the most important research areas in the last decades. The aim of this paper is to propose a robust mathematical model for a variant of a vehicle routi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Current biology : CB
دوره 27 19 شماره
صفحات -
تاریخ انتشار 2017