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Institution

Ohio Agricultural Research and Development Center

About: Ohio Agricultural Research and Development Center is a based out in . It is known for research contribution in the topics: Population & Virus. The organization has 2795 authors who have published 4084 publications receiving 158140 citations. The organization is also known as: Ohio Agricultural Research and Development Center, Ohio State University & OARDC.


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Book ChapterDOI
01 Jan 1982

2,974 citations

Journal ArticleDOI
TL;DR: In this paper, the authors use mitochondrial DNA variation to delimit species in a poorly known beetle radiation in the genus Rivacindela from arid Australia, using a new likelihood method that determines the point of transition from species-level (speciation and extinction) to population-level evolutionary processes.
Abstract: Cataloging the very large number of undescribed species of insects could be greatly accelerated by automated DNA based approaches, but procedures for large-scale species discovery from sequence data are currently lacking. Here, we use mitochondrial DNA variation to delimit species in a poorly known beetle radiation in the genus Rivacindela from arid Australia. Among 468 individuals sampled from 65 sites and multiple morphologically distinguishable types, sequence variation in three mtDNA genes (cytochrome oxidase subunit 1, cytochrome b, 16S ribosomal RNA) was strongly partitioned between 46 or 47 putative species identified with quantitative methods of species recognition based on fixed unique ("diagnostic") characters. The boundaries between groups were also recognizable from a striking increase in branching rate in clock-constrained calibrated trees. Models of stochastic lineage growth (Yule models) were combined with coalescence theory to develop a new likelihood method that determines the point of transition from species-level (speciation and extinction) to population-level (coalescence) evolutionary processes. Fitting the location of the switches from speciation to coalescent nodes on the ultrametric tree of Rivacindela produced a transition in branching rate occurring at 0.43 Mya, leading to an estimate of 48 putative species (confidence interval for the threshold ranging from 47 to 51 clusters within 2 logL units). Entities delimited in this way exhibited biological properties of traditionally defined species, showing coherence of geographic ranges, broad congruence with morphologically recognized species, and levels of sequence divergence typical for closely related species of insects. The finding of discontinuous evolutionary groupings that are readily apparent in patterns of sequence variation permits largely automated species delineation from DNA surveys of local communities as a scaffold for taxonomy in this poorly known insect group.

2,020 citations

Journal ArticleDOI
Brian J. Haas1, Sophien Kamoun2, Sophien Kamoun3, Michael C. Zody1, Michael C. Zody4, Rays H. Y. Jiang5, Rays H. Y. Jiang1, Robert E. Handsaker1, Liliana M. Cano2, Manfred Grabherr1, Chinnappa D. Kodira6, Chinnappa D. Kodira1, Sylvain Raffaele2, Trudy Torto-Alalibo6, Trudy Torto-Alalibo3, Tolga O. Bozkurt2, Audrey M. V. Ah-Fong7, Lucia Alvarado1, Vicky L. Anderson8, Miles R. Armstrong9, Anna O. Avrova9, Laura Baxter10, Jim Beynon10, Petra C. Boevink9, Stephanie R. Bollmann11, Jorunn I. B. Bos3, Vincent Bulone12, Guohong Cai13, Cahid Cakir3, James C. Carrington14, Megan Chawner15, Lucio Conti16, Stefano Costanzo11, Richard Ewan16, Noah Fahlgren14, Michael A. Fischbach17, Johanna Fugelstad12, Eleanor M. Gilroy9, Sante Gnerre1, Pamela J. Green18, Laura J. Grenville-Briggs8, John Griffith15, Niklaus J. Grünwald11, Karolyn Horn15, Neil R. Horner8, Chia-Hui Hu19, Edgar Huitema3, Dong-Hoon Jeong18, Alexandra M. E. Jones2, Jonathan D. G. Jones2, Richard W. Jones11, Elinor K. Karlsson1, Sridhara G. Kunjeti20, Kurt Lamour21, Zhenyu Liu3, Li-Jun Ma1, Dan MacLean2, Marcus C. Chibucos22, Hayes McDonald23, Jessica McWalters15, Harold J. G. Meijer5, William Morgan24, Paul Morris25, Carol A. Munro8, Keith O'Neill6, Keith O'Neill1, Manuel D. Ospina-Giraldo15, Andrés Pinzón, Leighton Pritchard9, Bernard H Ramsahoye26, Qinghu Ren27, Silvia Restrepo, Sourav Roy7, Ari Sadanandom16, Alon Savidor28, Sebastian Schornack2, David C. Schwartz29, Ulrike Schumann8, Ben Schwessinger2, Lauren Seyer15, Ted Sharpe1, Cristina Silvar2, Jing Song3, David J. Studholme2, Sean M. Sykes1, Marco Thines2, Marco Thines30, Peter J. I. van de Vondervoort5, Vipaporn Phuntumart25, Stephan Wawra8, R. Weide5, Joe Win2, Carolyn A. Young3, Shiguo Zhou29, William E. Fry13, Blake C. Meyers18, Pieter van West8, Jean B. Ristaino19, Francine Govers5, Paul R. J. Birch31, Stephen C. Whisson9, Howard S. Judelson7, Chad Nusbaum1 
17 Sep 2009-Nature
TL;DR: The sequence of the P. infestans genome is reported, which at ∼240 megabases (Mb) is by far the largest and most complex genome sequenced so far in the chromalveolates and probably plays a crucial part in the rapid adaptability of the pathogen to host plants and underpins its evolutionary potential.
Abstract: Phytophthora infestans is the most destructive pathogen of potato and a model organism for the oomycetes, a distinct lineage of fungus-like eukaryotes that are related to organisms such as brown algae and diatoms. As the agent of the Irish potato famine in the mid-nineteenth century, P. infestans has had a tremendous effect on human history, resulting in famine and population displacement(1). To this day, it affects world agriculture by causing the most destructive disease of potato, the fourth largest food crop and a critical alternative to the major cereal crops for feeding the world's population(1). Current annual worldwide potato crop losses due to late blight are conservatively estimated at $6.7 billion(2). Management of this devastating pathogen is challenged by its remarkable speed of adaptation to control strategies such as genetically resistant cultivars(3,4). Here we report the sequence of the P. infestans genome, which at similar to 240 megabases (Mb) is by far the largest and most complex genome sequenced so far in the chromalveolates. Its expansion results from a proliferation of repetitive DNA accounting for similar to 74% of the genome. Comparison with two other Phytophthora genomes showed rapid turnover and extensive expansion of specific families of secreted disease effector proteins, including many genes that are induced during infection or are predicted to have activities that alter host physiology. These fast-evolving effector genes are localized to highly dynamic and expanded regions of the P. infestans genome. This probably plays a crucial part in the rapid adaptability of the pathogen to host plants and underpins its evolutionary potential.

1,341 citations

Journal ArticleDOI
TL;DR: In this paper, the major nutrient components of different wastewater streams, the mechanisms of algal nutrient uptake, nutrient removal performance of various species of microalgae when cultured in wastewater, and current micro-algae production systems are discussed.
Abstract: Disposal of wastewater often results in high nutrient loading into aquatic environments, which may lead to favorable conditions for undesirable phytoplankton blooms. Microalgae are efficient in removing nitrogen, phosphorus, and toxic metals from wastewater under controlled environments. If key nutrients in the wastewater stream can be used to grow microalgae for biofuel production, the nutrients can be removed, thus significantly reducing the risk of harmful phytoplankton overgrowth. This review paper summarizes the major nutrient components of different wastewater streams, the mechanisms of algal nutrient uptake, nutrient removal performance of various species of microalgae when cultured in wastewater, and current microalgae production systems. Finally, new algae cultivation technologies applicable for biofuel production and nutrient recovery in polluted water bodies are discussed.

1,249 citations

Journal ArticleDOI
TL;DR: In this paper, a review of the methods that have been studied for pretreatment of lignocellulosic biomass for conversion to biogas is presented, including physical, chemical, and biological approaches.

1,062 citations


Authors

Showing all 2795 results

NameH-indexPapersCitations
Roger I. Glass11647449151
Sophien Kamoun10436536968
Kazuki Saito10366940111
Thirumala-Devi Kanneganti9430537831
Xiang Gao92135942047
Yuji Kamiya8722725331
David E. Swayne8537824842
Richard W. Hanson7623617997
Jon R. Gentsch7020417025
Linda J. Saif6520911221
Long Lin6215117776
Laurence V. Madden6128715567
Sagar M. Goyal5937812513
Linda J. Saif5922411857
Qijing Zhang571879809
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202184
2020105
2019118
201899
2017127
2016118