Microbial Biogeography: From Taxonomy to Traits

By Jessica L. Green, B. Bohannan, Rachel J. Whitaker. Science, 2008

606 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/00ff8e697b0e92b479caba8dbbf307f992fa141e

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Citations in the corpus

Differential Growth Responses of Soil Bacterial Taxa to Carbon Substrates of Varying Chemical Recalcitrance (2011, background): “However, our ability to assess the functions of different bacterial taxa has not kept pace (Green et al., 2008).”
Shifts in bacterial community structure associated with inputs of low molecular weight carbon compounds to soil (2010, background): “This functional redundancy within communities (and functional similarity between different soil communities) can often obscure linkages between bacterial taxonomy and functional traits (Schimel, 1995; Allison andMartiny, 2008; Green et al., 2008) particularly when examining more broadly-defined biog”
The quality of organic matter shapes the functional biogeography of bacterioplankton across boreal freshwater ecosystems (2015, background): “Current research is increasingly focusing on the inference of community traits from genomic information (i.e. functional genes and proteins, metabolic versatility, genome size; Green et al., 2008; Burke et al., 2011; Barberán et al., 2012, 2014; Fierer et al., 2014).”
Using the guild ratio to characterize pelagic rotifer communities (2011, background): “To overcome this limitation, an emerging theme in ecology is traitbased research, considered necessary to identify unifying principles that govern the plant or animal communities (Simberloff, 2004; McGill et al., 2006; Green et al., 2008).”
Integrating microbial ecology into ecosystem models: challenges and priorities (2012, background): “The idea that microbial community composition could influence ecosystem functioning has received much recent attention (Balser et al. 2002, 2006; Cavigelli and Robertson 2000; Fierer et al. 2007; Green et al. 2008; Levine et al. 2011; Schimel and Gulledge 1998).”
The effect of resource history on the functioning of soil microbial communities is maintained across time (2011, background): “Indeed, microbial communities are highly complex entities, making identification of mechanisms underlying the effects of history on ecosystem processes difficult to unravel (Allison and Martiny, 2008; Bradford et al., 2008; Green et al., 2008).”
High throughput sequencing analysis of biogeographical distribution of bacterial communities in the black soils of northeast China (2014, background): “It is known that soil microbial community diversity and composition vary distinctly between different soil ecosystems, and this variation is thought to be related to the changes in a number of soil biotic and abiotic factors (Garbeva et al., 2004; Ramette and Tiedje, 2007; Green et al., 2008).”
Incorporating 16S Gene Copy Number Information Improves Estimates of Microbial Diversity and Abundance (2012, methodology): “The phylogenetic method for copy number estimation we present in this study could be applied to predict any microbial trait for which reference sequence and trait data are available, and will help to further develop a trait-based approach to microbial ecology [47].”
Thermal adaptation of soil microbial respiration to elevated temperature. (2008, background): “Furthermore, direct linkages between microbial community composition and ecosystem processes are unresolved (Fierer et al. 2007; Allison & Martiny 2008; Green et al. 2008).”
Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale (2009, background): “For example, comparing microbial patterns to those commonly observed in plant and animal taxa is of intense theoretical interest (22, 25).”
Molecular approaches to study the insect gut symbiotic microbiota at the ‘omics’ age (2010, methodology): “In the past two decades, much effort has been dedicated to exploring the components of microbial communities from different niches at the molecular, organism and ecological level to discover novel enzymes, pathways and organisms for various applications (Green et al., 2008; Roussel et al., 2008).”