Georg Steinert
Wageningen University and Research Centre
27 Papers
45 Citations
Georg Steinert is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Sponge & Biology. The author has an hindex of 11, co-authored 22 publications. Previous affiliations of Georg Steinert include University of Oldenburg & Leibniz Institute of Marine Sciences.
Chat about Author
Papers
The sponge microbiome project
Lucas Moitinho-Silva,Shaun Nielsen,Amnon Amir,Antonio Gonzalez,Gail Ackermann,Carlo Cerrano,Carmen Astudillo-García,Cole G. Easson,Detmer Sipkema,Fang Liu,Georg Steinert,Giorgos Kotoulas,Grace P. McCormack,Guofang Feng,James J. Bell,Jan Vicente,Johannes R. Björk,José M. Montoya,Julie B. Olson,Julie Reveillaud,Laura Steindler,Mari Carmen Pineda,Maria V. Marra,Micha Ilan,Michael W. Taylor,Paraskevi N. Polymenakou,Patrick M. Erwin,Peter J. Schupp,Rachel L. Simister,Rob Knight,Robert W. Thacker,Rodrigo Costa,Russell T. Hill,Susanna López-Legentil,Thanos Dailianis,Timothy Ravasi,Ute Hentschel,Zhiyong Li,Nicole S. Webster,Nicole S. Webster,Torsten Thomas +40 more
TL;DR: This dataset represents a comprehensive resource of sponge-associated microbial communities based on 16S rRNA gene sequences that can be used to address overarching hypotheses regarding host-associated prokaryotes, including host specificity, convergent evolution, environmental drivers of microbiome structure, and the sponge- associated rare biosphere.
238
Predicting the HMA-LMA Status in Marine Sponges by Machine Learning
Lucas Moitinho-Silva,Georg Steinert,Shaun Nielsen,Cristiane C. P. Hardoim,Yu Chen Wu,Grace P. McCormack,Susanna López-Legentil,Roman Marchant,Nicole S. Webster,Nicole S. Webster,Torsten Thomas,Ute Hentschel +11 more
TL;DR: The prediction of the HMA-LMA status based on the microbiome profiles of sponges demonstrates the application of machine learning to explore patterns of host-associated microbial communities.
Goldman revisited: Faster-growing phytoplankton has lower N: P and lower stoichiometric flexibility
Helmut Hillebrand,Georg Steinert,Maarten Boersma,Arne M. Malzahn,Cédric L. Meunier,Christoph Plum,Robert Ptacnik +6 more
TL;DR: Across systems and species, phytoplankton N : P decreased with increasing growth rate and at the same time showed decreasing variance, i.e., fast-growing phy Topolankton is more P rich and has a more confined elemental composition.
160
In four shallow and mesophotic tropical reef sponges from Guam the microbial community largely depends on host identity
Georg Steinert,Georg Steinert,Michael W. Taylor,Peter Deines,Peter Deines,Rachel L. Simister,Rachel L. Simister,Nicole J. de Voogd,Michael Hoggard,Peter J. Schupp +9 more
TL;DR: Overall, the sponge-associated microbiota is significantly shaped by host identity across all samples, while the effect of habitat differentiation seems to be less predominant in tropical reef sponges.
71
Compositional and Quantitative Insights Into Bacterial and Archaeal Communities of South Pacific Deep-Sea Sponges (Demospongiae and Hexactinellida).
Georg Steinert,Georg Steinert,Kathrin Busch,Kristina Bayer,Sahar Kodami,Pedro Martínez Arbizu,Michelle Kelly,Sadie Mills,Dirk Erpenbeck,Martin Dohrmann,Gert Wörheide,Ute Hentschel,Ute Hentschel,Peter J. Schupp +13 more
TL;DR: The results show that bacterial communities from the deep-sea sponges are mostly host-species specific similar to what has been observed for shallow-water demosponges, while the archaeal communities are mostly specific to individual spongees (rather than sponge-species), and this observation applies to both hexactinellids and demospongees.
54