Current understanding of the human microbiome

JA Gilbert, MJ Blaser, JG Caporaso, JK Jansson… - Nature medicine, 2018 - nature.com
Our understanding of the link between the human microbiome and disease, including
obesity, inflammatory bowel disease, arthritis and autism, is rapidly expanding …

Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring

RB Ghannam, SM Techtmann - Computational and Structural …, 2021 - Elsevier
Advances in nucleic acid sequencing technology have enabled expansion of our ability to
profile microbial diversity. These large datasets of taxonomic and functional diversity are key …

Decoupling function and taxonomy in the global ocean microbiome

S Louca, LW Parfrey, M Doebeli - Science, 2016 - science.org
Microbial metabolism powers biogeochemical cycling in Earth's ecosystems. The taxonomic
composition of microbial communities varies substantially between environments, but the …

Analysing microbial community composition through amplicon sequencing: from sampling to hypothesis testing

LW Hugerth, AF Andersson - Frontiers in microbiology, 2017 - frontiersin.org
Microbial ecology as a scientific field is fundamentally driven by technological advance. The
past decade's revolution in DNA sequencing cost and throughput has made it possible for …

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

NA Bokulich, JH Thorngate… - Proceedings of the …, 2014 - National Acad Sciences
Wine grapes present a unique biogeography model, wherein microbial biodiversity patterns
across viticultural zones not only answer questions of dispersal and community …

Fundamentals of microbial community resistance and resilience

A Shade, H Peter, SD Allison, DL Baho… - Frontiers in …, 2012 - frontiersin.org
Microbial communities are at the heart of all ecosystems, and yet microbial community
behavior in disturbed environments remains difficult to measure and predict. Understanding …

Microbial modulators of soil carbon storage: integrating genomic and metabolic knowledge for global prediction

P Trivedi, IC Anderson, BK Singh - Trends in microbiology, 2013 - cell.com
Soil organic carbon performs a number of functions in ecosystems and it is clear that
microbial communities play important roles in land–atmosphere carbon (C) exchange and …

Keystone taxa predict compositional change in microbial communities

CM Herren, KD McMahon - Environmental Microbiology, 2018 - Wiley Online Library
The influence of biotic interactions on microbial community assembly is intensely debated.
We hypothesized that keystone taxa, which influence community assembly through strong …

Trait-based assessments of climate-change impacts on interacting species

M Schleuning, EL Neuschulz, J Albrecht… - Trends in Ecology & …, 2020 - cell.com
Plant–animal interactions are fundamentally important in ecosystems, but have often been
ignored by studies of climate-change impacts on biodiversity. Here, we present a trait-based …

Earthquake magnitude prediction in Hindukush region using machine learning techniques

KM Asim, F Martínez-Álvarez, A Basit, T Iqbal - Natural Hazards, 2017 - Springer
Earthquake magnitude prediction for Hindukush region has been carried out in this research
using the temporal sequence of historic seismic activities in combination with the machine …