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Sergio E. Morales

Researcher at University of Otago

Publications -  89
Citations -  2973

Sergio E. Morales is an academic researcher from University of Otago. The author has contributed to research in topics: Biology & Soil water. The author has an hindex of 23, co-authored 79 publications receiving 2187 citations. Previous affiliations of Sergio E. Morales include Chief Dull Knife College & University of Montana.

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Genomic and metagenomic surveys of hydrogenase distribution indicate H2 is a widely utilised energy source for microbial growth and survival.

TL;DR: It is predicted that this hydrogenase diversity supports H2-based respiration, fermentation and carbon fixation processes in both oxic and anoxic environments, in addition to various H1N1-sensing, electron-bifurcation and energy-conversion mechanisms.
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Bacterial gene abundances as indicators of greenhouse gas emission in soils.

TL;DR: The results suggest that the successional stages of the ecosystem are strongly linked to bacterial functional group abundance, and that the legacy of agricultural practices can be sustained over decades.
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CRISPRDetect: A flexible algorithm to define CRISPR arrays

TL;DR: A new approach to automatically detect, predict and interactively refine CRISPR arrays, which enables more accurate detection of arrays and spacers and its gff output is suitable for inclusion in genome annotation pipelines and visualisation.
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Linking bacterial identities and ecosystem processes: can 'omic' analyses be more than the sum of their parts?

TL;DR: This review considers some advantages and limitations of nucleic acid-based 'omic' approaches and discusses the potential for the integration of multiple molecular or computational techniques for a more effective assessment of links between specific microbial populations and ecosystem processes in situ.
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Methods for the extraction, storage, amplification and sequencing of DNA from environmental samples

TL;DR: A standardised set of procedures for use on different taxa and sample media is proposed, largely based on recent trends in their use, and represents a framework for efficient, comprehensive and robust DNA-based investigations of biodiversity, applicable to mostTaxa and ecosystems.