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258 results on '"Lindquist, E. A."'

3. Extensive sampling of basidiomycete genomes demonstrates inadequacy of the white-rot/brown-rot paradigm for wood decay fungi

Author

Riley, R., Salamov, A. A., Brown, D. W., Nagy, L. G., Floudas, D., Held, B. W., Levasseur, A., Lombard, V., Morin, E., Otillar, R., Lindquist, E. A., Sun, H., LaButti, K. M., Schmutz, J., Jabbour, D., Luo, H., Baker, S. E., Pisabarro, A. G., Walton, J. D., Blanchette, R. A., Henrissat, B., Martin, F., Cullen, D., Hibbett, D. S., and Grigoriev, I. V.

Published
2014

5. The genome of Laccaria bicolor provides insights into mycorrhizal symbiosis

Author

Martin, F., Aerts, A., Ahren, D., Brun, A., Danchin, E. G. J., Duchaussoy, F., Gibon, J., Kohler, A., Lindquist, E., Peresa, V., Salamov, A., Shapiro, H. J., Wuyts, J., Blaudez, D., Buee, M., Brokstein, P., Canback, B., Cohen, D., Courty, P. E., Coutinho, P. M., Delaruelle, C., Detter, J. C., Deveau, A., DiFazio, S., Duplessis, S., Fraissinet-Tachet, L., Lucic, E., Frey-Klett, P., Fourrey, C., Feussner, I., Gay, G., Grimwood, J., Hoegger, P. J., Jain, P., Kilaru, S., Labbe, J., Lin, Y. C., Legue, V., Tacon, F. Le, Marmeisse, R., Melayah, D., Montanini, B., Muratet, M., Nehls, U., Niculita-Hirzel, H., Secq, M. P. Oudot-Le, Peter, M., Quesneville, H., Rajashekar, B., Reich, M., Rouhier, N., Schmutz, J., Yin, T., Chalot, M., Henrissat, B., Kues, U., Lucas, S., Peer, Y. Van de, Podila, G. K., Polle, A., Pukkila, P. J., Richardson, P. M., Rouze, P., Sanders, I. R., Stajich, J. E., Tunlid, A., Tuskan, G., and Grigoriev, I. V.

Abstract

Mycorrhizal symbioses the union of roots and soil fungi are universal in terrestrial ecosystems and may have been fundamental to land colonization by plants 1, 2. Boreal, temperate and montane forests all depend on ectomycorrhizae1. Identification of the primary factors that regulate symbiotic development and metabolic activity will therefore open the door to understanding the role of ectomycorrhizae in plant development and physiology, allowing the full ecological significance of this symbiosis to be explored. Here we report the genome sequence of the ectomycorrhizal basidiomycete Laccaria bicolor (Fig. 1) and highlight gene sets involved in rhizosphere colonization and symbiosis. This 65-megabase genome assembly contains 20,000 predicted protein-encoding genes and a very large number of transposons and repeated sequences. We detected unexpected genomic features, most notably a battery of effector-type small secreted proteins (SSPs) with unknown function, several of which are only expressed in symbiotic tissues. The most highly expressed SSP accumulates in the proliferating hyphae colonizing the host root. The ectomycorrhizae-specific SSPs probably have a decisive role in the establishment of the symbiosis. The unexpected observation that the genome of L. bicolor lacks carbohydrate-active enzymes involved in degradation of plant cell walls, but maintains the ability to degrade non-plant cell wall polysaccharides, reveals the dual saprotrophic and biotrophic lifestyle of the mycorrhizal fungus that enables it to grow within both soil and living plant roots. The predicted gene inventory of the L. bicolor genome, therefore, points to previously unknown mechanisms of symbiosis operating in biotrophic mycorrhizal fungi. The availability of this genome provides an unparalleled opportunity to develop a deeper understanding of the processes by which symbionts interact with plants within their ecosystem to perform vital functions in the carbon and nitrogen cycles that are fundamental to sustainable plant productivity.

Published
2008

6. Selected Test Items in American History. Bulletin Number 6, Fifth Edition.

Author

National Council for the Social Studies, Washington, DC., Anderson, Howard R., and Lindquist, E. F.

Abstract

Designed for high school students, this bulletin provides an extensive file of 1,062 multiple-choice questions in American history. Taken largely from the Iowa Every-Pupil Program and the Cooperative Test Service standardized examinations, the questions are chronologically divided into 16 topic areas. They include exploration and discovery; colonial settlement and life; the Revolution and Constitution; the early national period; westward movement; social economic, and cultural development (1824-1860); sectionalism; Civil War and Reconstruction; passing of the frontier; the political scene (1876-1900); rise of Big Business; the Progressive Era; World War I and postwar adjustments; the Great Depression; World War II and after; and chronology. Also included are sections on how to phrase test questions, how to assemble a test unit, and the various advantages of a multiple-choice test. (DE)

Published
1964

13. Basic Considerations

Author

Wood, Ben D., Lindquist, E. F., and Anderson, H. R.

Published
1933

17. Mitigating the effects of omission errors on area and area change estimates

Author

Olofsson, P., Arévalo, P., Espejo, A. B., Green, C., Lindquist, E., McRoberts, R. E., Sanz, M. J., Olofsson, P., Arévalo, P., Espejo, A. B., Green, C., Lindquist, E., McRoberts, R. E., and Sanz, M. J.

Abstract

Information on Earth's land surface and change over time has never been easier to obtain, but making informed decisions to manage land well necessitates that this information is accurate and precise. In recent years, due largely to the inevitability of classification errors in remote sensing-based maps and the marked effects of these errors on subsequent area estimates, sample-based area estimates of land cover and land change have increased in importance and use. Area estimation of land cover and change by sampling is often made more efficient by a priori knowledge of the study area to be analyzed (e.g., stratification). Satellite data, obtained free of cost for virtually all of Earth's land surface, provide an excellent source for constructing landscape stratifications in the form of maps. Errors of omission, defined as sample units observed as land change but mapped as a stable class, may introduce considerable uncertainty in parameter estimates obtained from the sample data (e.g., area estimates of land change). The effects of omission errors are exacerbated in situations where the area of intact forest is large relative to the area of forest change, a common situation in countries that seek results-based payments for reductions in deforestation and associated carbon emissions. The presence of omission errors in such situations can preclude the acquisition of statistically valid evidence of a reduction in deforestation, and thus prevent payments. International donors and countries concerned with mitigating the effects of climate change are looking for guidance on how to reduce the effects of omission errors on area estimates of land change. This article presents the underlying reasons for the effects of omission errors on area estimates, case studies highlighting real-world examples of these effects, and proposes potential solutions. Practicable approaches to efficiently splitting large stable strata are presented that may reduce the effects of omission errors a

Published
2020

23. Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Author

Blöschl, G., Bierkens, M. F. P., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J. W., McDonnell, J. J., Savenije, H. H. G., Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Széles, B., Viglione, A., Aksoy, H., Allen, S. T., Amin, A., Andréassian, V., Arheimer, B., Aryal, S. K., Baker, V., Bardsley, E., Barendrecht, M. H., Bartosova, A., Batelaan, O., Berghuijs, W. R., Beven, K., Blume, T., Bogaard, T., Borges de Amorim, P., Böttcher, M. E., Boulet, G., Breinl, K., Brilly, M., Brocca, L., Buytaert, W., Castellarin, A., Castelletti, A., Chen, X., Chen, Y., Chifflard, P., Claps, P., Clark, M. P., Collins, A. L., Croke, B., Dathe, A., David, P. C., de Barros, F. P. J., de Rooij, G., Di Baldassarre, G., Driscoll, J. M., Duethmann, D., Dwivedi, R., Eris, E., Farmer, W. H., Feiccabrino, J., Ferguson, G., Ferrari, E., Ferraris, S., Fersch, B., Finger, D., Foglia, L., Fowler, K., Gartsman, B., Gascoin, S., Gaume, E., Gelfan, A., Geris, J., Gharari, S., Gleeson, T., Glendell, M., Gonzalez Bevacqua, A., González-Dugo, M. P., Grimaldi, S., Gupta, A. B., Guse, B., Han, D., Hannah, D., Harpold, A., Haun, S., Heal, K., Helfricht, K., Herrnegger, M., Hipsey, M., Hlaváčiková, H., Hohmann, C., Holko, L., Hopkinson, C., Hrachowitz, M., Illangasekare, T. H., Inam, A., Innocente, C., Istanbulluoglu, E., Jarihani, B., Kalantari, Z., Kalvans, A., Khanal, S., Khatami, S., Kiesel, J., Kirkby, M., Knoben, W., Kochanek, K., Kohnová, S., Kolechkina, A., Krause, S., Kreamer, D., Kreibich, H., Kunstmann, H., Lange, H., Liberato, M. L. R., Lindquist, E., Link, T., Liu, J., Loucks, D. P., Luce, C., Mahé, G., Makarieva, O., Malard, J., Mashtayeva, S., Maskey, S., Mas-Pla, J., Mavrova-Guirguinova, M., Mazzoleni, M., Mernild, S., Misstear, B. D., Montanari, A., Müller-Thomy, H., Nabizadeh, A., Nardi, F., Neale, C., Nesterova, N., Nurtaev, B., Odongo, V. O., Panda, S., Pande, S., Pang, Z., Papacharalampous, G., Perrin, C., Pfister, L., Pimentel, R., Polo, M. J., Post, D., Prieto Sierra, C., Ramos, M. -H, Renner, M., Reynolds, J. E., Ridolfi, E., Rigon, R., Riva, M., Robertson, D. E., Rosso, R., Roy, T., Sá, J.H.M., Salvadori, G., Sandells, M., Schaefli, B., Schumann, A., Scolobig, A., Seibert, J., Servat, E., Shafiei, M., Sharma, A., Sidibe, M., Sidle, R. C., Skaugen, T., Smith, H., Spiessl, S. M., Stein, L., Steinsland, I., Strasser, U., Su, B., Szolgay, J., Tarboton, D., Tauro, F., Thirel, G., Tian, F., Tong, R., Tussupova, K., Tyralis, H., Uijlenhoet, R., van Beek, R., van der Ent, R. J., van der Ploeg, M., Van Loon, A. F., van Meerveld, I., van Nooijen, R., van Oel, P. R., Vidal, J. -P, von Freyberg, J., Vorogushyn, S., Wachniew, P., Wade, A. J., Ward, P., Westerberg, I. K., White, C., Wood, E. F., Woods, R., Xu, Z., Yilmaz, K. K., Zhang, Y., Blöschl, G., Bierkens, M. F. P., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J. W., McDonnell, J. J., Savenije, H. H. G., Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Széles, B., Viglione, A., Aksoy, H., Allen, S. T., Amin, A., Andréassian, V., Arheimer, B., Aryal, S. K., Baker, V., Bardsley, E., Barendrecht, M. H., Bartosova, A., Batelaan, O., Berghuijs, W. R., Beven, K., Blume, T., Bogaard, T., Borges de Amorim, P., Böttcher, M. E., Boulet, G., Breinl, K., Brilly, M., Brocca, L., Buytaert, W., Castellarin, A., Castelletti, A., Chen, X., Chen, Y., Chifflard, P., Claps, P., Clark, M. P., Collins, A. L., Croke, B., Dathe, A., David, P. C., de Barros, F. P. J., de Rooij, G., Di Baldassarre, G., Driscoll, J. M., Duethmann, D., Dwivedi, R., Eris, E., Farmer, W. H., Feiccabrino, J., Ferguson, G., Ferrari, E., Ferraris, S., Fersch, B., Finger, D., Foglia, L., Fowler, K., Gartsman, B., Gascoin, S., Gaume, E., Gelfan, A., Geris, J., Gharari, S., Gleeson, T., Glendell, M., Gonzalez Bevacqua, A., González-Dugo, M. P., Grimaldi, S., Gupta, A. B., Guse, B., Han, D., Hannah, D., Harpold, A., Haun, S., Heal, K., Helfricht, K., Herrnegger, M., Hipsey, M., Hlaváčiková, H., Hohmann, C., Holko, L., Hopkinson, C., Hrachowitz, M., Illangasekare, T. H., Inam, A., Innocente, C., Istanbulluoglu, E., Jarihani, B., Kalantari, Z., Kalvans, A., Khanal, S., Khatami, S., Kiesel, J., Kirkby, M., Knoben, W., Kochanek, K., Kohnová, S., Kolechkina, A., Krause, S., Kreamer, D., Kreibich, H., Kunstmann, H., Lange, H., Liberato, M. L. R., Lindquist, E., Link, T., Liu, J., Loucks, D. P., Luce, C., Mahé, G., Makarieva, O., Malard, J., Mashtayeva, S., Maskey, S., Mas-Pla, J., Mavrova-Guirguinova, M., Mazzoleni, M., Mernild, S., Misstear, B. D., Montanari, A., Müller-Thomy, H., Nabizadeh, A., Nardi, F., Neale, C., Nesterova, N., Nurtaev, B., Odongo, V. O., Panda, S., Pande, S., Pang, Z., Papacharalampous, G., Perrin, C., Pfister, L., Pimentel, R., Polo, M. J., Post, D., Prieto Sierra, C., Ramos, M. -H, Renner, M., Reynolds, J. E., Ridolfi, E., Rigon, R., Riva, M., Robertson, D. E., Rosso, R., Roy, T., Sá, J.H.M., Salvadori, G., Sandells, M., Schaefli, B., Schumann, A., Scolobig, A., Seibert, J., Servat, E., Shafiei, M., Sharma, A., Sidibe, M., Sidle, R. C., Skaugen, T., Smith, H., Spiessl, S. M., Stein, L., Steinsland, I., Strasser, U., Su, B., Szolgay, J., Tarboton, D., Tauro, F., Thirel, G., Tian, F., Tong, R., Tussupova, K., Tyralis, H., Uijlenhoet, R., van Beek, R., van der Ent, R. J., van der Ploeg, M., Van Loon, A. F., van Meerveld, I., van Nooijen, R., van Oel, P. R., Vidal, J. -P, von Freyberg, J., Vorogushyn, S., Wachniew, P., Wade, A. J., Ward, P., Westerberg, I. K., White, C., Wood, E. F., Woods, R., Xu, Z., Yilmaz, K. K., and Zhang, Y.

Abstract

QC 20210112

Published
2019
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24. Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Author

Blöschl, G. Bierkens, M. F. P. Chambel, A. Cudennec, C. Destouni, G. Fiori, A. Kirchner, J. W. McDonnell, J. J. Savenije, H. H. G. Sivapalan, M. Stumpp, C. Toth, E. Volpi, E. Carr, G. Lupton, C. Salinas, J. Széles, B. Viglione, A. Aksoy, H. Allen, S. T. Amin, A. Andréassian, V. Arheimer, B. Aryal, S. K. Baker, V. Bardsley, E. Barendrecht, M. H. Bartosova, A. Batelaan, O. Berghuijs, W. R. Beven, K. Blume, T. Bogaard, T. Borges de Amorim, P. Böttcher, M. E. Boulet, G. Breinl, K. Brilly, M. Brocca, L. Buytaert, W. Castellarin, A. Castelletti, A. Chen, X. Chen, Y. Chen, Y. Chifflard, P. Claps, P. Clark, M. P. Collins, A. L. Croke, B. Dathe, A. David, P. C. de Barros, F. P. J. de Rooij, G. Di Baldassarre, G. Driscoll, J. M. Duethmann, D. Dwivedi, R. Eris, E. Farmer, W. H. Feiccabrino, J. Ferguson, G. Ferrari, E. Ferraris, S. Fersch, B. Finger, D. Foglia, L. Fowler, K. Gartsman, B. Gascoin, S. Gaume, E. Gelfan, A. Geris, J. Gharari, S. Gleeson, T. Glendell, M. Gonzalez Bevacqua, A. González-Dugo, M. P. Grimaldi, S. Gupta, A. B. Guse, B. Han, D. Hannah, D. Harpold, A. Haun, S. Heal, K. Helfricht, K. Herrnegger, M. Hipsey, M. Hlaváčiková, H. Hohmann, C. Holko, L. Hopkinson, C. Hrachowitz, M. Illangasekare, T. H. Inam, A. Innocente, C. Istanbulluoglu, E. Jarihani, B. Kalantari, Z. Kalvans, A. Khanal, S. Khatami, S. Kiesel, J. Kirkby, M. Knoben, W. Kochanek, K. Kohnová, S. Kolechkina, A. Krause, S. Kreamer, D. Kreibich, H. Kunstmann, H. Lange, H. Liberato, M. L. R. Lindquist, E. Link, T. Liu, J. Loucks, D. P. Luce, C. Mahé, G. Makarieva, O. Malard, J. Mashtayeva, S. Maskey, S. Mas-Pla, J. Mavrova-Guirguinova, M. Mazzoleni, M. Mernild, S. Misstear, B. D. Montanari, A. Müller-Thomy, H. Nabizadeh, A. Nardi, F. Neale, C. Nesterova, N. Nurtaev, B. Odongo, V. O. Panda, S. Pande, S. Pang, Z. Papacharalampous, G. Perrin, C. Pfister, L. Pimentel, R. Polo, M. J. Post, D. Prieto Sierra, C. Ramos, M. H. Renner, M. Reynolds, J. E. Ridolfi, E. Rigon, R. Riva, M. Robertson, D. E. Rosso, R. and Blöschl, G. Bierkens, M. F. P. Chambel, A. Cudennec, C. Destouni, G. Fiori, A. Kirchner, J. W. McDonnell, J. J. Savenije, H. H. G. Sivapalan, M. Stumpp, C. Toth, E. Volpi, E. Carr, G. Lupton, C. Salinas, J. Széles, B. Viglione, A. Aksoy, H. Allen, S. T. Amin, A. Andréassian, V. Arheimer, B. Aryal, S. K. Baker, V. Bardsley, E. Barendrecht, M. H. Bartosova, A. Batelaan, O. Berghuijs, W. R. Beven, K. Blume, T. Bogaard, T. Borges de Amorim, P. Böttcher, M. E. Boulet, G. Breinl, K. Brilly, M. Brocca, L. Buytaert, W. Castellarin, A. Castelletti, A. Chen, X. Chen, Y. Chen, Y. Chifflard, P. Claps, P. Clark, M. P. Collins, A. L. Croke, B. Dathe, A. David, P. C. de Barros, F. P. J. de Rooij, G. Di Baldassarre, G. Driscoll, J. M. Duethmann, D. Dwivedi, R. Eris, E. Farmer, W. H. Feiccabrino, J. Ferguson, G. Ferrari, E. Ferraris, S. Fersch, B. Finger, D. Foglia, L. Fowler, K. Gartsman, B. Gascoin, S. Gaume, E. Gelfan, A. Geris, J. Gharari, S. Gleeson, T. Glendell, M. Gonzalez Bevacqua, A. González-Dugo, M. P. Grimaldi, S. Gupta, A. B. Guse, B. Han, D. Hannah, D. Harpold, A. Haun, S. Heal, K. Helfricht, K. Herrnegger, M. Hipsey, M. Hlaváčiková, H. Hohmann, C. Holko, L. Hopkinson, C. Hrachowitz, M. Illangasekare, T. H. Inam, A. Innocente, C. Istanbulluoglu, E. Jarihani, B. Kalantari, Z. Kalvans, A. Khanal, S. Khatami, S. Kiesel, J. Kirkby, M. Knoben, W. Kochanek, K. Kohnová, S. Kolechkina, A. Krause, S. Kreamer, D. Kreibich, H. Kunstmann, H. Lange, H. Liberato, M. L. R. Lindquist, E. Link, T. Liu, J. Loucks, D. P. Luce, C. Mahé, G. Makarieva, O. Malard, J. Mashtayeva, S. Maskey, S. Mas-Pla, J. Mavrova-Guirguinova, M. Mazzoleni, M. Mernild, S. Misstear, B. D. Montanari, A. Müller-Thomy, H. Nabizadeh, A. Nardi, F. Neale, C. Nesterova, N. Nurtaev, B. Odongo, V. O. Panda, S. Pande, S. Pang, Z. Papacharalampous, G. Perrin, C. Pfister, L. Pimentel, R. Polo, M. J. Post, D. Prieto Sierra, C. Ramos, M. H. Renner, M. Reynolds, J. E. Ridolfi, E. Rigon, R. Riva, M. Robertson, D. E. Rosso, R.

Abstract

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

Published
2019
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28. How important are mobile broadband networks for global economic development?

Author

Edquist, H, Goodridge, PR, Haskel, J, Li, X, Lindquist, E, Engineering & Physical Science Research Council (E, and Ericsson Enterprise AB

Abstract

Since the beginning of the 21st century mobile broadband has diffused very rapidly in many countries around the world. This paper investigates to what extent the diffusion of mobile broadband has impacted economic development in terms of GDP. The results show that there is a significant effect from mobile broadband on GDP both when mobile broadband is first introduced and gradually as mobile broadband diffuses throughout different economies. Based on a two stage model we are able to conclude that on average a 10 percent increase of mobile broadband adoption causes a 0.6–2.8 percent increase in economic growth depending on the model specifications.

Published
2017

29. Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

de Vries, RP, Riley, R, Wiebenga, A, Aguilar-Osorio, G, Amillis, S, Uchima, CA, Anderluh, G, Asadollahi, M, Askin, M, Barry, K, Battaglia, E, Bayram, Ö, Benocci, T, Braus-Stromeyer, SA, Caldana, C, Cánovas, D, Cerqueira, GC, Chen, F, Chen, W, Choi, C, Clum, A, dos Santos, RAC, de Lima Damásio, AR, Diallinas, G, Emri, T, Fekete, E, Flipphi, M, Freyberg, S, Gallo, A, Gournas, C, Habgood, R, Hainaut, M, Harispe, ML, Henrissat, B, Hildén, KS, Hope, R, Hossain, A, Karabika, E, Karaffa, L, Karányi, Z, Kraševec, N, Kuo, A, Kusch, H, LaButti, K, Lagendijk, EL, Lapidus, A, Levasseur, A, Lindquist, E, Lipzen, A, Logrieco, AF, MacCabe, A, Mäkelä, MR, Malavazi, I, Melin, P, Meyer, V, Mielnichuk, N, Miskei, M, Molnár, ÁP, Mulé, G, Ngan, CY, Orejas, M, Orosz, E, Ouedraogo, JP, Overkamp, KM, Park, HS, Perrone, G, Piumi, F, Punt, PJ, Ram, AFJ, Ramón, A, Rauscher, S, Record, E, and Riaño-Pachón, DM

Abstract

© 2017 The Author(s). Background: The fungal genus Aspergillus is of critical importance to humankind. Species include those with industrial applications, important pathogens of humans, animals and crops, a source of potent carcinogenic contaminants of food, and an important genetic model. The genome sequences of eight aspergilli have already been explored to investigate aspects of fungal biology, raising questions about evolution and specialization within this genus. Results: We have generated genome sequences for ten novel, highly diverse Aspergillus species and compared these in detail to sister and more distant genera. Comparative studies of key aspects of fungal biology, including primary and secondary metabolism, stress response, biomass degradation, and signal transduction, revealed both conservation and diversity among the species. Observed genomic differences were validated with experimental studies. This revealed several highlights, such as the potential for sex in asexual species, organic acid production genes being a key feature of black aspergilli, alternative approaches for degrading plant biomass, and indications for the genetic basis of stress response. A genome-wide phylogenetic analysis demonstrated in detail the relationship of the newly genome sequenced species with other aspergilli. Conclusions: Many aspects of biological differences between fungal species cannot be explained by current knowledge obtained from genome sequences. The comparative genomics and experimental study, presented here, allows for the first time a genus-wide view of the biological diversity of the aspergilli and in many, but not all, cases linked genome differences to phenotype. Insights gained could be exploited for biotechnological and medical applications of fungi.

Published
2017

30. Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus

Author

de Vries, R.P. Riley, R. Wiebenga, A. Aguilar-Osorio, G. Amillis, S. Uchima, C.A. Anderluh, G. Asadollahi, M. Askin, M. Barry, K. Battaglia, E. Bayram, O. Benocci, T. Braus-Stromeyer, S.A. Caldana, C. Cánovas, D. Cerqueira, G.C. Chen, F. Chen, W. Choi, C. Clum, A. dos Santos, R.A.C. de Lima Damásio, A.R. Diallinas, G. Emri, T. Fekete, E. Flipphi, M. Freyberg, S. Gallo, A. Gournas, C. Habgood, R. Hainaut, M. Harispe, M.L. Henrissat, B. Hildén, K.S. Hope, R. Hossain, A. Karabika, E. Karaffa, L. Karányi, Z. Kraševec, N. Kuo, A. Kusch, H. LaButti, K. Lagendijk, E.L. Lapidus, A. Levasseur, A. Lindquist, E. Lipzen, A. Logrieco, A.F. MacCabe, A. Mäkelä, M.R. Malavazi, I. Melin, P. Meyer, V. Mielnichuk, N. Miskei, M. Molnár, A.P. Mulé, G. Ngan, C.Y. Orejas, M. Orosz, E. Ouedraogo, J.P. Overkamp, K.M. Park, H.-S. Perrone, G. Piumi, F. Punt, P.J. Ram, A.F.J. Ramón, A. Rauscher, S. Record, E. Riaño-Pachón, D.M. Robert, V. Röhrig, J. Ruller, R. Salamov, A. Salih, N.S. Samson, R.A. Sándor, E. Sanguinetti, M. Schütze, T. Sepčić, K. Shelest, E. Sherlock, G. Sophianopoulou, V. Squina, F.M. Sun, H. Susca, A. Todd, R.B. Tsang, A. Unkles, S.E. van de Wiele, N. van Rossen-Uffink, D. de Castro Oliveira, J.V. Vesth, T.C. Visser, J. Yu, J.-H. Zhou, M. Andersen, M.R. Archer, D.B. Baker, S.E. Benoit, I. Brakhage, A.A. Braus, G.H. Fischer, R. Frisvad, J.C. Goldman, G.H. Houbraken, J. Oakley, B. Pócsi, I. Scazzocchio, C. Seiboth, B. vanKuyk, P.A. Wortman, J. Dyer, P.S. Grigoriev, I.V.

Abstract

Background: The fungal genus Aspergillus is of critical importance to humankind. Species include those with industrial applications, important pathogens of humans, animals and crops, a source of potent carcinogenic contaminants of food, and an important genetic model. The genome sequences of eight aspergilli have already been explored to investigate aspects of fungal biology, raising questions about evolution and specialization within this genus. Results: We have generated genome sequences for ten novel, highly diverse Aspergillus species and compared these in detail to sister and more distant genera. Comparative studies of key aspects of fungal biology, including primary and secondary metabolism, stress response, biomass degradation, and signal transduction, revealed both conservation and diversity among the species. Observed genomic differences were validated with experimental studies. This revealed several highlights, such as the potential for sex in asexual species, organic acid production genes being a key feature of black aspergilli, alternative approaches for degrading plant biomass, and indications for the genetic basis of stress response. A genome-wide phylogenetic analysis demonstrated in detail the relationship of the newly genome sequenced species with other aspergilli. Conclusions: Many aspects of biological differences between fungal species cannot be explained by current knowledge obtained from genome sequences. The comparative genomics and experimental study, presented here, allows for the first time a genus-wide view of the biological diversity of the aspergilli and in many, but not all, cases linked genome differences to phenotype. Insights gained could be exploited for biotechnological and medical applications of fungi. © 2017 The Author(s).

Published
2017

31. Comparison of Women's Beginning Tennis Skills Under Three Different Time Schedules

Author

Lindquist, E. Lorraine and Witte, Fae

Abstract

In this study comparing the knowledge and skill attained by university women in beginning tennis under three different time schedules, it was found that time schedules may not be as important as other factors in the learning and performance of tennis skills. (MM)

Published
1977

32. Comparison of Verbal, Gesture and Skill Data Observed in Complex Motor Skill Acquisition. Study II.

Author

Lindquist, E. Lorraine

Abstract

This longitudinal field study performed on five female college freshmen attempted to verify a prior pilot study conducted on one subject to compare three verbal, four gesture, and three skill test variables to see which better discriminated between days, thereby providing the researcher a clearer picture of the subjects' changes during learning. Subjects were filmed over four daily one-half hour sessions by a professional team. Sixty tennis serves per subject (15 per day) were randomly selected for the analyses. Direct and RAO's discriminant analyses from SPSS using "day" as the group variable selected three gesture, one verbal, and one skill variable. Using these five variables, 39 percent of the serves were correctly classified. Compared to the pilot study, five instead of seven variables were selected. All the gesture variables were selected both times. One instead of three verbal variables were selected. Form took the place of speed among skill variables. Since gesture data were the most consistently discriminating, motor learning researchers should include gesture along with skill test and verbal data when studying the learner the first days of learning a complex motor skill. (Author)

Published
1985

33. Comparison of Verbal, Gesture, and Skill Data Observed in Complex Motor Skill Acquisition.

Author

Lindquist, E. Lorraine

Abstract

One novice subject's learning about the tennis serve was measured (over a 4-day period) by recording the subject's gestures and verbal remarks. This case study compared gestures, verbal remarks, skills, and form data to see which types best discriminated between days 1 to 4, and it also attempted to determine if discriminant analyses were suitable for such comparisons. Verbal data selected included: subject's evaluation of a serve, part of the serve described, and number of items the subject referenced. Gesture data selected included: body part used in the gesture, size of gesture, type of gesture, and number of gestures per serve. Results showed that generally gesture and verbal data appeared to better discriminate among days of early skill learning than did skill and form rating data. It was also found that the use of both contingency table and discriminant analyses is valuable. (Author/JMK)

Published
1983

36. Evolutionary genomics of the cold-Adapted diatom Fragilariopsis cylindrus

Author

Mock, T., Otillar, R. P., Strauss, Jan, McMullan, M., Paajanen, P., Schmutz, J., Salamov, A., Sanges, R., Toseland, A., Ward, B. J., Allen, A. E., Dupont, C. L., Frickenhaus, S., Maumus, F., Veluchamy, A., Wu, T., Barry, K. W., Falciatore, A., Ferrante, M. I., Fortunato, A. E., Glöckner, G., Gruber, A., Hipkin, R., Janech, M. G., Kroth, P. G., Leese, F., Lindquist, E. A., Lyon, B. R., Martin, J., Mayer, C., Parker, M., Quesneville, H., Raymond, J. A., Uhlig, C., Valas, R. E., Valentin, K. U., Worden, Alexandra Z., Armbrust, E. V., Clark, M. D., Bowler, C., Green, B. R., Moulton, V., Van Oosterhout, C., Grigoriev, I. V., Mock, T., Otillar, R. P., Strauss, Jan, McMullan, M., Paajanen, P., Schmutz, J., Salamov, A., Sanges, R., Toseland, A., Ward, B. J., Allen, A. E., Dupont, C. L., Frickenhaus, S., Maumus, F., Veluchamy, A., Wu, T., Barry, K. W., Falciatore, A., Ferrante, M. I., Fortunato, A. E., Glöckner, G., Gruber, A., Hipkin, R., Janech, M. G., Kroth, P. G., Leese, F., Lindquist, E. A., Lyon, B. R., Martin, J., Mayer, C., Parker, M., Quesneville, H., Raymond, J. A., Uhlig, C., Valas, R. E., Valentin, K. U., Worden, Alexandra Z., Armbrust, E. V., Clark, M. D., Bowler, C., Green, B. R., Moulton, V., Van Oosterhout, C., and Grigoriev, I. V.

Abstract

The Southern Ocean houses a diverse and productive community of organisms. Unicellular eukaryotic diatoms are the main primary producers in this environment, where photosynthesis is limited by low concentrations of dissolved iron and large seasonal fluctuations in light, temperature and the extent of sea ice. How diatoms have adapted to this extreme environment is largely unknown. Here we present insights into the genome evolution of a cold-Adapted diatom from the Southern Ocean, Fragilariopsis cylindrus, based on a comparison with temperate diatoms. We find that approximately 24.7 per cent of the diploid F. cylindrus genome consists of genetic loci with alleles that are highly divergent (15.1 megabases of the total genome size of 61.1 megabases). These divergent alleles were differentially expressed across environmental conditions, including darkness, low iron, freezing, elevated temperature and increased CO 2 . Alleles with the largest ratio of non-synonymous to synonymous nucleotide substitutions also show the most pronounced condition-dependent expression, suggesting a correlation between diversifying selection and allelic differentiation. Divergent alleles may be involved in adaptation to environmental fluctuations in the Southern Ocean. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.

Published
2017
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41. Correction: The Genomes of the Fungal Plant Pathogens Cladosporium fulvum and Dothistroma septosporum Reveal Adaptation to Different Hosts and Lifestyles But Also Signatures of Common Ancestry [PLoS Genet, 11(12), (2015)]

Author

de Wit, PJGM, van der Burgt, A, Ökmen, B, Stergiopoulos, I, Abd-Elsalam, KA, Aerts, AL, Bahkali, AH, Beenen, HG, Chettri, P, Cox, MP, Datema, E, de Vries, RP, Dhillon, B, Ganley, AR, Griffiths, SA, Guo, Y, Hamelin, RC, Henrissat, B, Shahjahan Kabir, M, Karimi Jashni, M, Kema, G, Klaubauf, S, Lapidus, A, Levasseur, A, Lindquist, E, Mehrabi, R, Ohm, RA, Owen, TJ, Salamov, A, Schwelm, A, Schijlen, E, Sun, H, van den Burg, HA, van Ham, RCHJ, Zhang, S, Goodwin, SB, Grigoriev, IV, Collemare, J, and Bradshaw, RE

Published
2015

42. The ecoresponsive genome of Daphnia pulex

Author

Colbourne, J. K., Pfrender, M. E., Gilbert, D., Thomas, W. K., Tucker, A., Oakley, T. H., Tokishita, S., Aerts, A., Arnold, G. J., Basu, M. K., Bauer, D. J., C當eres, C. E., Carmel, L., Casola, C., Choi, J. H., Detter, J. C., Dong, Q., Dusheyko, S., Eads, B. D., Frlich, T., Geiler-Samerotte, K. A., Gerlach, D., Hatcher, P., Jogdeo, S., Krijgsveld, J., Kriventseva, E. V., K�ltz, D., Laforsch, C., Lindquist, E., Lopez, J., Manak, J. R., Muller, J., Pangilinan, J., Patwardhan, R. P., Pitluck, S., Pritham, E. J., Rechtsteiner, A., Rho, M., Rogozin, I. B., Sakarya, O., Salamov, A., Schaack, S., Shapiro, H., Shiga, Y., Skalitzky, C., Smith, Z., Souvorov, A., Sung, W., Tang, Z., Tsuchiya, D., Tu, H., Vos, H., Wang, M., Wolf, Y. I., Yamagata, H., Yamada, Takuji, Ye, Y., Shaw, J. R., Andrews, J., Crease, T. J., Tang, H., Lucas, S. M., Robertson, H. M., Bork, P., Koonin, E. V., Zdobnov, E. M., Grigoriev, I. V., Lynch, M., Boore, J. L., Gerlach, Daniel, Kriventseva, Evgenia, and Zdobnov, Evgeny

Subjects
0106 biological sciences, Molecular Sequence Data, Gene Conversion, Gene Expression, Biology, Environment, 010603 evolutionary biology, 01 natural sciences, Genome, Daphnia pulex, Evolution, Molecular, 03 medical and health sciences, Genes, Duplicate, Gene Duplication, Gene duplication, Gene family, Animals, ddc:576.5, Gene conversion, Amino Acid Sequence, Gene, Ecosystem, Phylogeny, 030304 developmental biology, Regulation of gene expression, Genetics, 0303 health sciences, Multidisciplinary, Base Sequence, Daphnia/genetics/physiology, Metabolic Networks and Pathways/genetics, Gene Expression Profiling, fungi, Chromosome Mapping, Molecular Sequence Annotation, Sequence Analysis, DNA, biology.organism_classification, Adaptation, Physiological, Gene expression profiling, Daphnia, Gene Expression Regulation, Genes, Multigene Family, Metabolic Networks and Pathways
Abstract

We describe the draft genome of the microcrustacean Daphnia pulex, which is only 200 megabases and contains at least 30,907 genes. The high gene count is a consequence of an elevated rate of gene duplication resulting in tandem gene clusters. More than a third of Daphnia's genes have no detectable homologs in any other available proteome, and the most amplified gene families are specific to the Daphnia lineage. The coexpansion of gene families interacting within metabolic pathways suggests that the maintenance of duplicated genes is not random, and the analysis of gene expression under different environmental conditions reveals that numerous paralogs acquire divergent expression patterns soon after duplication. Daphnia-specific genes, including many additional loci within sequenced regions that are otherwise devoid of annotations, are the most responsive genes to ecological challenges.

Published
2011
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43. Ectomycorrhizal ecology is imprinted in the genome of the dominant symbiotic fungus Cenococcum geophilum

Author

Peter, M, Kohler, A, Ohm, RA, Kuo, A, Kruetzmann, J, Morin, E, Arend, M, Barry, KW, Binder, M, Choi, C, Clum, A, Copeland, A, Grisel, N, Haridas, S, Kipfer, T, LaButti, K, Lindquist, E, Lipzen, A, Maire, R, Meier, B, Mihaltcheva, S, Molinier, V, Murat, C, Poeggeler, S, Quandt, CA, Sperisen, C, Tritt, A, Tisserant, E, Crous, PW, Henrissat, B, Nehls, U, Egli, S, Spatafora, JW, Grigoriev, IV, Martin, FM, Peter, M, Kohler, A, Ohm, RA, Kuo, A, Kruetzmann, J, Morin, E, Arend, M, Barry, KW, Binder, M, Choi, C, Clum, A, Copeland, A, Grisel, N, Haridas, S, Kipfer, T, LaButti, K, Lindquist, E, Lipzen, A, Maire, R, Meier, B, Mihaltcheva, S, Molinier, V, Murat, C, Poeggeler, S, Quandt, CA, Sperisen, C, Tritt, A, Tisserant, E, Crous, PW, Henrissat, B, Nehls, U, Egli, S, Spatafora, JW, Grigoriev, IV, and Martin, FM

Abstract

The most frequently encountered symbiont on tree roots is the ascomycete Cenococcum geophilum, the only mycorrhizal species within the largest fungal class Dothideomycetes, a class known for devastating plant pathogens. Here we show that the symbiotic genomic idiosyncrasies of ectomycorrhizal basidiomycetes are also present in C. geophilum with symbiosis-induced, taxon-specific genes of unknown function and reduced numbers of plant cell wall-degrading enzymes. C. geophilum still holds a significant set of genes in categories known to be involved in pathogenesis and shows an increased genome size due to transposable elements proliferation. Transcript profiling revealed a striking upregulation of membrane transporters, including aquaporin water channels and sugar transporters, and mycorrhiza-induced small secreted proteins (MiSSPs) in ectomycorrhiza compared with free-living mycelium. The frequency with which this symbiont is found on tree roots and its possible role in water and nutrient transport in symbiosis calls for further studies on mechanisms of host and environmental adaptation.

Published
2016

45. Measurement of the t(t)over-bar production cross-section using e mu events with b-tagged jets in pp collisions at root s=7 and 8 TeV with the ATLAS detector

Author

Aad, G, Abbott, B, Abdallah, J, Khalek, SA, Abdinov, O, Aben, R, Abi, B, Abolins, M, AbouZeid, OS, Abramowicz, H, Abreu, H, Abreu, R, Abulaiti, Y, Acharya, BS, Adamczyk, L, Adams, DL, Adelman, J, Adomeit, S, Adye, T, Agatonovic-Jovin, T, Aguilar-Saavedra, JA, Agustoni, M, Ahlen, SP, Ahmadov, F, Aielli, G, Akerstedt, H, Akesson, TPA, Akimoto, G, Akimov, AV, Alberghi, GL, Albert, J, Albrand, S, Alconada Verzini, MJ, Aleksa, M, Aleksandrov, IN, Alexaa, C, Alexander, G, Alexandre, G, Alexopoulos, T, Alhroob, M, Alimonti, G, Alio, L, Alison, J, Allbrooke, BMM, Allison, LJ, Allport, PP, Almond, J, Aloisio, A, Alonso, A, Alonso, F, Alpigiani, C, Altheimer, A, Gonzalez, BA, Alviggi, MG, Amako, K, Amaral Coutinho, Y, Amelung, C, Amidei, D, Amor Dos Santos, SP, Amorim, A, Amoroso, S, Amram, N, Amundsen, G, Anastopoulos, C, Ancu, LS, Andari, N, Andeen, T, Anders, CF, Anders, G, Anderson, KJ, Andreazza, A, Andrei, V, Anduaga, XS, Angelidakis, S, Angelozzi, I, Anger, P, Angerami, A, Anghinolfi, F, Anisenkov, AV, Anjos, N, Annovi, A, Antonaki, A, Antonelli, M, Antonov, A, Antos, J, Anulli, F, Aoki, M, Bella, LA, Apolle, R, Arabidze, G, Aracena, I, Arai, Y, Araque, JP, Arce, ATH, Arguin, J-F, Argyropoulos, S, Arik, M, Armbruster, AJ, Arnaez, O, Arnal, V, Arnold, H, Arratia, M, Arslan, O, Artamonov, A, Artoni, G, Asai, S, Asbah, N, Ashkenazi, A, Asman, B, Asquith, L, Assamagan, K, Astalos, R, Atkinson, M, Atlay, NB, Auerbach, B, Augsten, K, Aurousseau, M, Avolio, G, Azuelos, G, Azuma, Y, Baak, MA, Baas, A, Bacci, C, Bachacou, H, Bachas, K, Backes, M, Backhaus, M, Mayes, JB, Badescu, E, Bagiacchi, P, Bagnaia, P, Bai, Y, Bain, T, Baines, JT, Baker, OK, Balek, P, Balli, F, Banas, E, Banerjee, S, Bannoura, AAE, Bansal, V, Bansil, HS, Barak, L, Baranov, SP, Barberio, EL, Barberis, D, Barbero, M, Barillari, T, Barisonzi, M, Barklow, T, Barlow, N, Barnett, BM, Barnett, RM, Barnovska, Z, Baroncelli, A, Barone, G, Barr, AJ, Barreiro, F, da Costa, JBG, Bartoldus, R, Barton, AE, Bartos, P, Bartsch, V, Bassalat, A, Basye, A, Bates, RL, Batley, JR, Battaglia, M, Battistin, M, Bauer, F, Bawa, HS, Beattie, MD, Beau, T, Beauchemin, PH, Beccherle, R, Bechtle, P, Beck, HP, Becker, K, Becker, S, Beckingham, M, Becot, C, Beddall, AJ, Beddall, A, Bedikian, S, Bednyakov, VA, Bee, CP, Beemster, LJ, Beermann, TA, Begel, M, Behr, K, Belanger-Champagne, C, Bell, PJ, Bell, WH, Bella, G, Bellagamba, L, Bellerive, A, Bellomo, M, Belotskiy, K, Beltramello, O, Benary, O, Benchekroun, D, Bendtz, K, Benekos, N, Benhammou, Y, Noccioli, EB, Garcia, JAB, Benjamin, DP, Bensinger, JR, Benslama, K, Bentvelsen, S, Berge, D, Kuutmann, EB, Berger, N, Berghaus, F, Beringer, J, Bernard, C, Bernat, P, Bernius, C, Bernlochner, FU, Berry, T, Berta, P, Bertella, C, Bertoli, G, Bertolucci, F, Bertsche, C, Bertsche, D, Besana, MI, Besjes, GJ, Bessidskaia, O, Bessner, MF, Besson, N, Betancourt, C, Bethke, S, Bhimji, W, Bianchi, RM, Bianchini, L, Bianco, M, Biebel, O, Bieniek, SP, Bierwagen, K, Biesiada, J, Biglietti, M, De Mendizabal, JB, Bilokon, H, Bindi, M, Binet, S, Bingul, A, Bini, C, Black, CW, Black, JE, Black, KM, Blackburn, D, Blair, RE, Blanchard, J-B, Blazek, T, Bloch, I, Blocker, C, Blum, W, Blumenschein, U, Bobbink, GJ, Bobrovnikov, VS, Bocchetta, SS, Bocci, A, Bock, C, Boddy, CR, Boehler, M, Boek, TT, Bogaerts, JA, Bogdanchikov, AG, Bogouch, A, Bohm, C, Bohm, J, Boisvert, V, Bold, T, Boldea, V, Boldyrev, AS, Bomben, M, Bona, M, Boonekamp, M, Borisov, A, Borissov, G, Borri, M, Borroni, S, Bortfeldt, J, Bortolotto, V, Bos, K, Boscherini, D, Bosman, M, Boterenbrood, H, Boudreau, J, Bouffard, J, Bouhova-Thacker, EV, Boumediene, D, Bourdarios, C, Bousson, N, Boutouil, S, Boveia, A, Boyd, J, Boyko, IR, Bracinik, J, Brandt, A, Brandt, G, Brandt, O, Bratzler, U, Brau, B, Brau, JE, Braun, HM, Brazzale, SF, Brelier, B, Brendlinger, K, Brennan, AJ, Brenner, R, Bressler, S, Bristow, K, Bristow, TM, Britton, D, Brochu, FM, Brock, I, Brock, R, Bromberg, C, Bronner, J, Brooijmans, G, Brooks, T, Brooks, WK, Brosamer, J, Brost, E, Brown, J, de Renstrom, PAB, Bruncko, D, Bruneliere, R, Brunet, S, Bruni, A, Bruni, G, Bruschi, M, Bryngemark, L, Buanes, T, Buat, Q, Bucci, F, Buchholz, P, Buckingham, RM, Buckley, AG, Buda, SI, Budagov, IA, Buehrer, F, Bugge, L, Bugge, MK, Bulekov, O, Bundock, AC, Burckhart, H, Burdin, S, Burghgrave, B, Burke, S, Burmeister, I, Busato, E, Buescher, D, Buescher, V, Bussey, P, Buszello, CP, Butler, B, Butler, JM, Butt, AI, Buttar, CM, Butterworth, JM, Butti, P, Buttinger, W, Buzatu, A, Byszewski, M, Cabrera Urban, S, Caforio, D, Cakir, O, Calafiura, P, Calandri, A, Calderini, G, Calfayan, P, Calkins, R, Caloba, LP, Calvet, D, Calvet, S, Toro, RC, Camarda, S, Cameron, D, Caminada, LM, Caminal Armadans, R, Campana, S, Campanelli, M, Campoverde, A, Canale, V, Canepa, A, Bret, MC, Cantero, J, Cantrill, R, Cao, T, Garrido, MDMC, Caprini, I, Caprini, M, Capua, M, Caputo, R, Cardarelli, R, Carli, T, Carlino, G, Carminati, L, Caron, S, Carquin, E, Carrillo-Montoya, GD, Carter, JR, Carvalho, J, Casadei, D, Casado, MP, Casolino, M, Castaneda-Miranda, E, Castelli, A, Gimenez, VC, Castro, NF, Catastini, P, Catinaccio, A, Catmore, JR, Cattai, A, Cattani, G, Caughron, S, Cavaliere, V, Cavalli, D, Cavalli-Sforza, M, Cavasinni, V, Ceradini, F, Cerio, B, Cerny, K, Cerqueira, AS, Cerri, A, Cerrito, L, Cerutti, F, Cerv, M, Cervelli, A, Cetin, SA, Chafaq, A, Chakraborty, D, Chalupkova, I, Chang, P, Chapleau, B, Chapman, JD, Charfeddine, D, Charlton, DG, Chau, CC, Barajas, CAC, Cheatham, S, Chegwidden, A, Chekanov, S, Chekulaev, SV, Chelkov, GA, Chelstowska, MA, Chen, C, Chen, H, Chen, K, Chen, L, Chen, S, Chen, X, Chen, Y, Cheng, HC, Cheng, Y, Cheplakov, A, El Moursli, RC, Chernyatin, V, Cheu, E, Chevalier, L, Chiarella, V, Chiefari, G, Childers, JT, Chilingarov, A, Chiodini, G, Chisholm, AS, Chislett, RT, Chitan, A, Chizhov, MV, Chouridou, S, Chow, BKB, Chromek-Burckhart, D, Chu, ML, Chudoba, J, Chwastowski, JJ, Chytka, L, Ciapetti, G, Ciftci, AK, Ciftci, R, Cinca, D, Cindro, V, Ciocio, A, Cirkovic, P, Citron, ZH, Citterio, M, Ciubancan, M, Clark, A, Clark, PJ, Clarke, RN, Cleland, W, Clemens, JC, Clement, C, Coadou, Y, Cobal, M, Coccaro, A, Cochran, J, Coffey, L, Cogan, JG, Coggeshall, J, Cole, B, Cole, S, Colijn, AP, Collot, J, Colombo, T, Colon, G, Compostella, G, Conde Muino, P, Coniavitis, E, Conidi, MC, Connell, SH, Connelly, IA, Consonni, SM, Consorti, V, Constantinescu, S, Conta, C, Conti, G, Conventi, F, Cooke, M, Cooper, BD, Cooper-Sarkar, AM, Cooper-Smith, NJ, Copic, K, Cornelissen, T, Corradi, M, Corriveau, F, Corso-Radu, A, Cortes-Gonzalez, A, Cortiana, G, Costa, G, Costa, MJ, Costanzo, D, Cote, D, Cottin, G, Cowan, G, Cox, BE, Cranmer, K, Cree, G, Crepe-Renaudin, S, Crescioli, F, Cribbs, WA, Ortuzar, MC, Cristinziani, M, Croft, V, Crosetti, G, Cuciuc, C-M, Donszelmann, TC, Cummings, J, Curatolo, M, Cuthbert, C, Czirr, H, Czodrowski, P, Czyczula, Z, D'Auria, S, D'Onofrio, M, Da Cunha Sargedas De Sousa, MJ, Da Via, C, Dabrowski, W, Dafinca, A, Dai, T, Dale, O, Dallaire, F, Dallapiccola, C, Dam, M, Daniells, AC, Hoffmann, MD, Dao, V, Darbo, G, Darmora, S, Dassoulas, JA, Dattagupta, A, Davey, W, David, C, Davidek, T, Davies, E, Davies, M, Davignon, O, Davison, AR, Davison, P, Davygora, Y, Dawe, E, Dawson, I, Daya-Ishmukhametova, RK, De, K, de Asmundis, R, De Castro, S, De Cecco, S, De Groot, N, de Jong, P, De la Torre, H, De Lorenzi, F, De Nooij, L, De Pedis, D, De Salvo, A, De Sanctis, U, De Santo, A, De Regie, JBDV, Dearnaley, WJ, Debbe, R, Debenedetti, C, Dechenaux, B, Dedovich, DV, Deigaard, I, Del Peso, J, Del Prete, T, Deliot, F, Delitzsch, CM, Deliyergiyev, M, Dell'Acqua, A, Dell'Asta, L, Dell'Orso, M, Della Pietra, M, della Volpe, D, Delmastro, M, Delsart, PA, Deluca, C, Demers, S, Demichev, M, Demilly, A, Denisov, SP, Derendarz, D, Derkaoui, JE, Derue, F, Dervan, P, Desch, K, Deterre, C, Deviveiros, PO, Dewhurst, A, Dhaliwal, S, Di Ciaccio, A, Di Ciaccio, L, Di Domenico, A, Di 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I., Zimmermann, C., Zimmermann, R., Zimmermann, S., Zinonos, Z., Ziolkowski, M., Zobernig, G., Zoccoli, A., zur Nedden, M., Zurzolo, G., Zutshi, V., and Zwalinski, L.

Subjects
Settore FIS/01 - Fisica Sperimentale, High Energy Physics::Phenomenology, High Energy Physics::Experiment
Abstract

The inclusive top quark pair (tt¯tt¯) production cross-section σtt¯σtt¯ has been measured in proton–proton collisions at s√=7 TeVs=7 TeV and s√=8 TeVs=8 TeV with the ATLAS experiment at the LHC, using tt¯tt¯ events with an opposite-charge eμeμ pair in the final state. The measurement was performed with the 2011 7 TeV dataset corresponding to an integrated luminosity of 4.6 fb−1fb−1 and the 2012 8 TeV dataset of 20.3 fb−1fb−1. The numbers of events with exactly one and exactly two bb-tagged jets were counted and used to simultaneously determine σtt¯σtt¯ and the efficiency to reconstruct and bb-tag a jet from a top quark decay, thereby minimising the associated systematic uncertainties. The cross-section was measured to be: σtt¯σtt¯=182.9±3.1±4.2±3.6±3.3 pb (s√=7 TeV)and=242.4±1.7±5.5±7.5±4.2 pb (s√=8 TeV), σtt¯=182.9±3.1±4.2±3.6±3.3 pb (s=7 TeV)andσtt¯=242.4±1.7±5.5±7.5±4.2 pb (s=8 TeV), where the four uncertainties arise from data statistics, experimental and theoretical systematic effects, knowledge of the integrated luminosity and of the LHC beam energy. The results are consistent with recent theoretical QCD calculations at next-to-next-to-leading order. Fiducial measurements corresponding to the experimental acceptance of the leptons are also reported, together with the ratio of cross-sections measured at the two centre-of-mass energies. The inclusive cross-section results were used to determine the top quark pole mass via the dependence of the theoretically predicted cross-section on mpoletmtpole giving a result of mpoletmtpole=172.9+2.5−2.6=172.9−2.6+2.5 GeV. By looking for an excess of tt¯tt¯ production with respect to the QCD prediction, the results were also used to place limits on the pair-production of supersymmetric top squarks t~1t~1 with masses close to the top quark mass, decaying via t~1→tχ~01t~1→tχ~10 to predominantly right-handed top quarks and a light neutralino χ~01χ~10, the lightest supersymmetric particle. Top squarks with masses between the top quark mass and 177 GeV are excluded at the 95 % confidence level.

Published
2014

49. Land use patterns and related carbon losses following deforestation in South America

Author

De Sy, V., Herold, M., Achard, F., Beuchle, R., Clevers, J.G.P.W., Lindquist, E., Verchot, L., De Sy, V., Herold, M., Achard, F., Beuchle, R., Clevers, J.G.P.W., Lindquist, E., and Verchot, L.

Abstract

Land use change in South America, mainly deforestation, is a large source of anthropogenic CO2 emissions. Identifying and addressing the causes or drivers of anthropogenic forest change is considered crucial for global climate change mitigation. Few countries however, monitor deforestation drivers in a systematic manner. National-level quantitative spatially explicit information on drivers is often lacking. This study quantifies proximate drivers of deforestation and related carbon losses in South America based on remote sensing time series in a systematic, spatially explicit manner. Deforestation areas were derived from the 2010 global remote sensing survey of the Food and Agricultural Organisation Forest Resource Assessment. To assess proximate drivers, land use following deforestation was assigned by visual interpretation of high-resolution satellite imagery. To estimate gross carbon losses from deforestation, default Tier 1 biomass levels per country and eco-zone were used. Pasture was the dominant driver of forest area (71.2%) and related carbon loss (71.6%) in South America, followed by commercial cropland (14% and 12.1% respectively). Hotspots of deforestation due to pasture occurred in Northern Argentina, Western Paraguay, and along the arc of deforestation in Brazil where they gradually moved into higher biomass forests causing additional carbon losses. Deforestation driven by commercial cropland increased in time, with hotspots occurring in Brazil (Mato Grosso State), Northern Argentina, Eastern Paraguay and Central Bolivia. Infrastructure, such as urban expansion and roads, contributed little as proximate drivers of forest area loss (1.7%). Our findings contribute to the understanding of drivers of deforestation and related carbon losses in South America, and are comparable at the national, regional and continental level. In addition, they support the development of national REDD+ interventions and forest monitoring systems, and provide valuable input for

Published
2015

50. Assessing change in national forest monitoring capacities of 99 tropical countries

Author

Romijn, J.E., Lantican, C.B., Herold, M., Lindquist, E., Ochieng, R.M., Wijaya, A., Murdiyarso, D., Verchot, L., Romijn, J.E., Lantican, C.B., Herold, M., Lindquist, E., Ochieng, R.M., Wijaya, A., Murdiyarso, D., and Verchot, L.

Abstract

Monitoring of forest cover and forest functions provides information necessary to support policies and decisions to conserve, protect and sustainably manage forests. Especially in the tropics where forests are declining at a rapid rate, national forest monitoring systems capable of reliably estimating forest cover, forest cover change and carbon stock change are of vital importance. As a large number of tropical countries had limited capacity in the past to implement such a system, capacity building efforts are now ongoing to strengthen the technical and political skillsets necessary to implement national forest monitoring at institutional levels. This paper assesses the current status and recent changes in national forest monitoring and reporting capacities in 99 tropical countries, using the Food and Agriculture Organization of the United Nations (FAO) Forest Resources Assessment (FRA) 2015 data, complemented with FRA 2010 and FRA 2005 data. Three indicators “Forest area change monitoring and remote sensing capacities”, “Forest inventory capacities” and “Carbon pool reporting capacities” were used to assess the countries’ capacities for the years 2005, 2010 and 2015 and the change in capacities between 2005–2010 and 2010–2015. Forest area change monitoring and remote sensing capacities improved considerably between 2005 and 2015. The total tropical forest area that is monitored with good to very good forest area change monitoring and remote sensing capacities increased from 69% in 2005 to 83% in 2015. This corresponds to 1435 million ha in 2005 and 1699 million ha in 2015. This effect is related to more free and open remote sensing data and availability of techniques to improve forest area change monitoring. The total tropical forest area that is monitored with good to very good forest inventory capacities increased from 38% in 2005 to 66% in 2015. This corresponds to 785 million ha in 2005 and 1350 million ha in 2015. Carbon pool reporting capacities did not show

Published
2015

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