Institution
University of Georgia
Education•Athens, Georgia, United States•
About: University of Georgia is a education organization based out in Athens, Georgia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41934 authors who have published 93622 publications receiving 3713212 citations. The organization is also known as: UGA & Franklin College.
Topics: Population, Poison control, Gene, Genome, Virus
Papers published on a yearly basis
Papers
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1,330 citations
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TL;DR: The dbCAN2 (http://cys.bios.niu.edu/dbCAN2) as mentioned in this paper is an updated meta server, which integrates three state-of-the-art tools for CAZome annotation: (i) HMMER search against the dbCAN HMM (hidden Markov model) database; (ii) DIAMOND search against CAZy pre-annotated CAZY sequence database and (iii) Hotpep search against conserved CAZys short peptide database.
Abstract: Complex carbohydrates of plants are the main food sources of animals and microbes, and serve as promising renewable feedstock for biofuel and biomaterial production. Carbohydrate active enzymes (CAZymes) are the most important enzymes for complex carbohydrate metabolism. With an increasing number of plant and plant-associated microbial genomes and metagenomes being sequenced, there is an urgent need of automatic tools for genomic data mining of CAZymes. We developed the dbCAN web server in 2012 to provide a public service for automated CAZyme annotation for newly sequenced genomes. Here, dbCAN2 (http://cys.bios.niu.edu/dbCAN2) is presented as an updated meta server, which integrates three state-of-the-art tools for CAZome (all CAZymes of a genome) annotation: (i) HMMER search against the dbCAN HMM (hidden Markov model) database; (ii) DIAMOND search against the CAZy pre-annotated CAZyme sequence database and (iii) Hotpep search against the conserved CAZyme short peptide database. Combining the three outputs and removing CAZymes found by only one tool can significantly improve the CAZome annotation accuracy. In addition, dbCAN2 now also accepts nucleotide sequence submission, and offers the service to predict physically linked CAZyme gene clusters (CGCs), which will be a very useful online tool for identifying putative polysaccharide utilization loci (PULs) in microbial genomes or metagenomes.
1,310 citations
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TL;DR: The identification of glycosyltransferases involved in pectin synthesis is essential to the study of cell wall function in plant growth and development and for maximizing the value and use of plant polysaccharides in industry and human health.
1,309 citations
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TL;DR: Improvements in analytical methodologies for dissecting glycan structural diversity, along with recent developments in biochemical and genetic approaches for studying glycan biosynthesis and catabolism have provided a greater understanding of the biological contributions of these complex structures in vertebrates.
Abstract: Protein glycosylation is a ubiquitous post-translational modification found in all domains of life Despite their significant complexity in animal systems, glycan structures have crucial biological and physiological roles, from contributions in protein folding and quality control to involvement in a large number of biological recognition events As a result, they impart an additional level of 'information content' to underlying polypeptide structures Improvements in analytical methodologies for dissecting glycan structural diversity, along with recent developments in biochemical and genetic approaches for studying glycan biosynthesis and catabolism, have provided a greater understanding of the biological contributions of these complex structures in vertebrates
1,309 citations
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TL;DR: Examples from human and wildlife disease systems are reviewed to illustrate the challenges inherent in understanding the mechanisms and impacts of seasonal environmental drivers, and to highlight general insights that are relevant to other ecological interactions.
Abstract: Seasonal variations in temperature, rainfall and resource availability are ubiquitous and can exert strong pressures on population dynamics. Infectious diseases provide some of the best-studied examples of the role of seasonality in shaping population fluctuations. In this paper, we review examples from human and wildlife disease systems to illustrate the challenges inherent in understanding the mechanisms and impacts of seasonal environmental drivers. Empirical evidence points to several biologically distinct mechanisms by which seasonality can impact host-pathogen interactions, including seasonal changes in host social behaviour and contact rates, variation in encounters with infective stages in the environment, annual pulses of host births and deaths and changes in host immune defences. Mathematical models and field observations show that the strength and mechanisms of seasonality can alter the spread and persistence of infectious diseases, and that population-level responses can range from simple annual cycles to more complex multiyear fluctuations. From an applied perspective, understanding the timing and causes of seasonality offers important insights into how parasite-host systems operate, how and when parasite control measures should be applied, and how disease risks will respond to anthropogenic climate change and altered patterns of seasonality. Finally, by focusing on well-studied examples of infectious diseases, we hope to highlight general insights that are relevant to other ecological interactions.
1,304 citations
Authors
Showing all 42268 results
Name | H-index | Papers | Citations |
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Rob Knight | 201 | 1061 | 253207 |
Feng Zhang | 172 | 1278 | 181865 |
Zhenan Bao | 169 | 865 | 106571 |
Carl W. Cotman | 165 | 809 | 105323 |
Yoshio Bando | 147 | 1234 | 80883 |
Mark Raymond Adams | 147 | 1187 | 135038 |
Han Zhang | 130 | 970 | 58863 |
Dmitri Golberg | 129 | 1024 | 61788 |
Godfrey D. Pearlson | 128 | 740 | 58845 |
Douglas E. Soltis | 127 | 612 | 67161 |
Richard A. Dixon | 126 | 603 | 71424 |
Ajit Varki | 124 | 542 | 58772 |
Keith A. Johnson | 120 | 798 | 51034 |
Gustavo E. Scuseria | 120 | 658 | 95195 |
Julian I. Schroeder | 120 | 315 | 50323 |