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Institution

University of East Anglia

EducationNorwich, Norfolk, United Kingdom
About: University of East Anglia is a education organization based out in Norwich, Norfolk, United Kingdom. It is known for research contribution in the topics: Population & Climate change. The organization has 13250 authors who have published 37504 publications receiving 1669060 citations. The organization is also known as: UEA.


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Journal ArticleDOI
03 Jul 2008-Nature
TL;DR: The species populating the vent sites comprise a suite of organisms that are resilient to naturally high concentrations of pCO2 and indicate that ocean acidification may benefit highly invasive non-native algal species.
Abstract: A high-profile Royal Society report in 2005, followed by similar reports worldwide, high-lighted the fact that relatively little is known about the ecosystem effects of ocean acidification. Work to date has been largely limited to short-term experiments on isolated aspects of marine communities. Hall-Spencer et al. adopted an alternative approach, tracking the response to CO2 release from volcanic vent sites off the island of Ischia in the Bay of Naples, where ocean acidification has prevailed perhaps for centuries. Typical rocky shore communities rich in calcareous organisms thrive at normal pH, shifting to communities lacking scleractinian corals and low in sea urchin and algal numbers at low pH. The results show that such sites can act as natural experiments against which to test laboratory and modelled predictions of the effects of ocean acidification. The ecological impact of ocean acidification as a result of climate change is difficult to predict. A natural CO2 venting site is used here to demonstrate the shifts occurring in a rocky shore marine community as a result of a pH gradient. The atmospheric partial pressure of carbon dioxide ( ) will almost certainly be double that of pre-industrial levels by 2100 and will be considerably higher than at any time during the past few million years1. The oceans are a principal sink for anthropogenic CO2 where it is estimated to have caused a 30% increase in the concentration of H+ in ocean surface waters since the early 1900s and may lead to a drop in seawater pH of up to 0.5 units by 2100 (refs 2, 3). Our understanding of how increased ocean acidity may affect marine ecosystems is at present very limited as almost all studies have been in vitro, short-term, rapid perturbation experiments on isolated elements of the ecosystem4,5. Here we show the effects of acidification on benthic ecosystems at shallow coastal sites where volcanic CO2 vents lower the pH of the water column. Along gradients of normal pH (8.1–8.2) to lowered pH (mean 7.8–7.9, minimum 7.4–7.5), typical rocky shore communities with abundant calcareous organisms shifted to communities lacking scleractinian corals with significant reductions in sea urchin and coralline algal abundance. To our knowledge, this is the first ecosystem-scale validation of predictions that these important groups of organisms are susceptible to elevated amounts of . Sea-grass production was highest in an area at mean pH 7.6 (1,827 μatm ) where coralline algal biomass was significantly reduced and gastropod shells were dissolving due to periods of carbonate sub-saturation. The species populating the vent sites comprise a suite of organisms that are resilient to naturally high concentrations of and indicate that ocean acidification may benefit highly invasive non-native algal species. Our results provide the first in situ insights into how shallow water marine communities might change when susceptible organisms are removed owing to ocean acidification.

1,291 citations

Journal ArticleDOI
25 May 2012-Cell
TL;DR: Algorithms were developed to decipher this narrative and applied them to 21 breast cancers, finding that expansion of the dominant subclone to an appreciable mass may represent the final rate-limiting step in a breast cancer's development, triggering diagnosis.

1,290 citations

Journal ArticleDOI
02 Feb 2007-Science
TL;DR: The findings of these 12 FeAXs reveal that iron supply exerts controls on the dynamics of plankton blooms, which in turn affect the biogeochemical cycles of carbon, nitrogen, silicon, and sulfur and ultimately influence the Earth climate system.
Abstract: Since the mid-1980s, our understanding of nutrient limitation of oceanic primary production has radically changed. Mesoscale iron addition experiments (FeAXs) have unequivocally shown that iron supply limits production in one-third of the world ocean, where surface macronutrient concentrations are perennially high. The findings of these 12 FeAXs also reveal that iron supply exerts controls on the dynamics of plankton blooms, which in turn affect the biogeochemical cycles of carbon, nitrogen, silicon, and sulfur and ultimately influence the Earth climate system. However, extrapolation of the key results of FeAXs to regional and seasonal scales in some cases is limited because of differing modes of iron supply in FeAXs and in the modern and paleo-oceans. New research directions include quantification of the coupling of oceanic iron and carbon biogeochemistry.

1,269 citations

Journal ArticleDOI
TL;DR: Missense mutations in the rod domain of the lamin A/C gene provide a genetic cause for dilated cardiomyopathy and indicate that this intermediate filament protein has an important role in cardiac conduction and contractility.
Abstract: Background Inherited mutations cause approximately 35 percent of cases of dilated cardiomyopathy; however, few genes associated with this disease have been identified. Previously, we located a gene defect that was responsible for autosomal dominant dilated cardiomyopathy and conduction-system disease on chromosome 1p1–q21, where nuclear-envelope proteins lamin A and lamin C are encoded by the LMNA (lamin A/C) gene. Mutations in the head or tail domain of this gene cause Emery–Dreifuss muscular dystrophy, a childhood-onset disease characterized by joint contractures and in some cases by abnormalities of cardiac conduction during adulthood. Methods We evaluated 11 families with autosomal dominant dilated cardiomyopathy and conduction-system disease. Sequences of the lamin A/C exons were determined in probands from each family, and variants were confirmed by restriction-enzyme digestion. The genotypes of the family members were ascertained. Results Five novel missense mutations were identified: four in the α...

1,236 citations

Journal ArticleDOI
TL;DR: This work substantially rewritten and extended MEGAN so as to facilitate the interactive analysis of the taxonomic and functional content of very large microbiome datasets and provides a straightforward, yet powerful and complete pipeline for the analysis of metagenome shotgun sequences.
Abstract: There is increasing interest in employing shotgun sequencing, rather than amplicon sequencing, to analyze microbiome samples. Typical projects may involve hundreds of samples and billions of sequencing reads. The comparison of such samples against a protein reference database generates billions of alignments and the analysis of such data is computationally challenging. To address this, we have substantially rewritten and extended our widely-used microbiome analysis tool MEGAN so as to facilitate the interactive analysis of the taxonomic and functional content of very large microbiome datasets. Other new features include a functional classifier called InterPro2GO, gene-centric read assembly, principal coordinate analysis of taxonomy and function, and support for metadata. The new program is called MEGAN Community Edition (CE) and is open source. By integrating MEGAN CE with our high-throughput DNA-to-protein alignment tool DIAMOND and by providing a new program MeganServer that allows access to metagenome analysis files hosted on a server, we provide a straightforward, yet powerful and complete pipeline for the analysis of metagenome shotgun sequences. We illustrate how to perform a full-scale computational analysis of a metagenomic sequencing project, involving 12 samples and 800 million reads, in less than three days on a single server. All source code is available here: https://github.com/danielhuson/megan-ce

1,228 citations


Authors

Showing all 13512 results

NameH-indexPapersCitations
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Kay-Tee Khaw1741389138782
Phillip A. Sharp172614117126
Rory Collins162489193407
William J. Sutherland14896694423
Shah Ebrahim14673396807
Kenneth M. Yamada13944672136
Martin McKee1381732125972
David Price138168793535
Sheila Bingham13651967332
Philip Jones13564490838
Peter M. Rothwell13477967382
Ivan Reid131131885123
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023115
2022385
20212,203
20202,121
20191,957
20181,798