2019
DOI: 10.1038/s41467-019-08837-3
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Ediacaran biozones identified with network analysis provide evidence for pulsed extinctions of early complex life

Abstract: Rocks of Ediacaran age (~635–541 Ma) contain the oldest fossils of large, complex organisms and their behaviors. These fossils document developmental and ecological innovations, and suggest that extinctions helped to shape the trajectory of early animal evolution. Conventional methods divide Ediacaran macrofossil localities into taxonomically distinct clusters, which may represent evolutionary, environmental, or preservational variation. Here, we investigate these possibilities with network analysis of body an… Show more

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Cited by 84 publications
(122 citation statements)
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“…Among the most significant are the emergences of biomineralization 2 and active motility 3 , which demarcate this interval from the rest of the Ediacaran Period. Toward the Period's conclusion, the first metazoan mass extinction event 4,5 encompassed the downfall of the archetypal Ediacaran biota. Their demise, however, was coincident with an ecological shift in which organisms such as Cloudina and other occupants of this novel tube-building morphotype 4 become increasingly populous.…”
mentioning
confidence: 99%
“…Among the most significant are the emergences of biomineralization 2 and active motility 3 , which demarcate this interval from the rest of the Ediacaran Period. Toward the Period's conclusion, the first metazoan mass extinction event 4,5 encompassed the downfall of the archetypal Ediacaran biota. Their demise, however, was coincident with an ecological shift in which organisms such as Cloudina and other occupants of this novel tube-building morphotype 4 become increasingly populous.…”
mentioning
confidence: 99%
“…In the unipartite networks ( Fig. 3a,b), each node is a sample; a link indicates that two samples share one or more taxa; and the links are weighted equal to the Bray-Curtis similarity scores of the connected samples 20 . The bipartite networks ( Fig.…”
Section: Resultsmentioning
confidence: 99%
“…3c,d), in contrast, contain both sample and taxon nodes where samples are connected by non-weighted links to their taxa, and vice versa, but no two samples (or two taxa) are directly connected to each other 19 . We partitioned these networks into modules (clusters of nodes) using 'community detection algorithms' [19][20][21][22] , which seek to identify the most densely connected nodes separated by the regions with fewest links. The unipartite network was partitioned into non-overlapping modules using weighted random walks, so the results reflect relative abundances of taxa.…”
Section: Resultsmentioning
confidence: 99%
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“…Palaeontology and stratigraphy has become a quantitative study as a branch discipline of geoscience and there has been a subsequent rapid increase in the implementation of numerical methods in palaeontology (Hammer and Harper, 2006) and stratigraphy (Kemple et al, 1995;Rong et al, 2007;Huang et al, 2012;Fan et al, 2013b). Quantitative analysis based on big data of fossil and stratum records have been more common recently, especially on biodiversity evolution (Alroy et al, 2008;25 Hautmann, 2016), graphic correlation of strata (Fan et al, 2013b), palaeoecology (Muscente et al, 2018) and mass extinction (Muscente et al, 2019). Professional databases, such as Paleobiology Database (PBDB), Macrostrat (https://macrostrat.org/) and Geobiodiversity Database (GBDB) (Fan et al, 2013a), store and provide big data and make these high-impact studies possible.…”
Section: Introductionmentioning
confidence: 99%