@article{BauerEremenkoEhrentreichFoersteretal.1996, author = {Bauer, Christian G. and Eremenko, A. V. and Ehrentreich-F{\"o}rster, Eva and Bier, Frank Fabian and Makower, Alexander and Halsall, H. B. and Heineman, W. R. and Scheller, Frieder W.}, title = {Zeptomole-detecting biosensor for alkaline phosphatase in an electroche mical immunoassay for 2,4- dichlorophenoacetic acid}, year = {1996}, language = {en} } @article{RajasundaramRunavotGuoetal.2014, author = {Rajasundaram, Dhivyaa and Runavot, Jean-Luc and Guo, Xiaoyuan and Willats, William G. T. and Meulewaeter, Frank and Selbig, Joachim}, title = {Understanding the relationship between cotton fiber properties and non-cellulosic cell wall polysaccharides}, series = {PLoS one}, volume = {9}, journal = {PLoS one}, number = {11}, publisher = {PLoS}, address = {San Fransisco}, issn = {1932-6203}, doi = {10.1371/journal.pone.0112168}, pages = {11}, year = {2014}, abstract = {A detailed knowledge of cell wall heterogeneity and complexity is crucial for understanding plant growth and development. One key challenge is to establish links between polysaccharide-rich cell walls and their phenotypic characteristics. It is of particular interest for some plant material, like cotton fibers, which are of both biological and industrial importance. To this end, we attempted to study cotton fiber characteristics together with glycan arrays using regression based approaches. Taking advantage of the comprehensive microarray polymer profiling technique (CoMPP), 32 cotton lines from different cotton species were studied. The glycan array was generated by sequential extraction of cell wall polysaccharides from mature cotton fibers and screening samples against eleven extensively characterized cell wall probes. Also, phenotypic characteristics of cotton fibers such as length, strength, elongation and micronaire were measured. The relationship between the two datasets was established in an integrative manner using linear regression methods. In the conducted analysis, we demonstrated the usefulness of regression based approaches in establishing a relationship between glycan measurements and phenotypic traits. In addition, the analysis also identified specific polysaccharides which may play a major role during fiber development for the final fiber characteristics. Three different regression methods identified a negative correlation between micronaire and the xyloglucan and homogalacturonan probes. Moreover, homogalacturonan and callose were shown to be significant predictors for fiber length. The role of these polysaccharides was already pointed out in previous cell wall elongation studies. Additional relationships were predicted for fiber strength and elongation which will need further experimental validation.}, language = {en} } @article{BierEhrentreichFoersterSchelleretal.1996, author = {Bier, Frank Fabian and Ehrentreich-F{\"o}rster, Eva and Scheller, Frieder W. and Makower, Alexander and Eremenko, A. V. and Wollenberger, Ursula and Bauer, Christian G. and Pfeiffer, Dorothea and Micheel, Burkhard}, title = {Ultrasensitive biosensors}, year = {1996}, language = {en} } @article{ChipmanFerrierBrenaetal.2014, author = {Chipman, Ariel D. and Ferrier, David E. K. and Brena, Carlo and Qu, Jiaxin and Hughes, Daniel S. T. and Schroeder, Reinhard and Torres-Oliva, Montserrat and Znassi, Nadia and Jiang, Huaiyang and Almeida, Francisca C. and Alonso, Claudio R. and Apostolou, Zivkos and Aqrawi, Peshtewani and Arthur, Wallace and Barna, Jennifer C. J. and Blankenburg, Kerstin P. and Brites, Daniela and Capella-Gutierrez, Salvador and Coyle, Marcus and Dearden, Peter K. and Du Pasquier, Louis and Duncan, Elizabeth J. and Ebert, Dieter and Eibner, Cornelius and Erikson, Galina and Evans, Peter D. and Extavour, Cassandra G. and Francisco, Liezl and Gabaldon, Toni and Gillis, William J. and Goodwin-Horn, Elizabeth A. and Green, Jack E. and Griffiths-Jones, Sam and Grimmelikhuijzen, Cornelis J. P. and Gubbala, Sai and Guigo, Roderic and Han, Yi and Hauser, Frank and Havlak, Paul and Hayden, Luke and Helbing, Sophie and Holder, Michael and Hui, Jerome H. L. and Hunn, Julia P. and Hunnekuhl, Vera S. and Jackson, LaRonda and Javaid, Mehwish and Jhangiani, Shalini N. and Jiggins, Francis M. and Jones, Tamsin E. and Kaiser, Tobias S. and Kalra, Divya and Kenny, Nathan J. and Korchina, Viktoriya and Kovar, Christie L. and Kraus, F. Bernhard and Lapraz, Francois and Lee, Sandra L. and Lv, Jie and Mandapat, Christigale and Manning, Gerard and Mariotti, Marco and Mata, Robert and Mathew, Tittu and Neumann, Tobias and Newsham, Irene and Ngo, Dinh N. and Ninova, Maria and Okwuonu, Geoffrey and Ongeri, Fiona and Palmer, William J. and Patil, Shobha and Patraquim, Pedro and Pham, Christopher and Pu, Ling-Ling and Putman, Nicholas H. and Rabouille, Catherine and Ramos, Olivia Mendivil and Rhodes, Adelaide C. and Robertson, Helen E. and Robertson, Hugh M. and Ronshaugen, Matthew and Rozas, Julio and Saada, Nehad and Sanchez-Gracia, Alejandro and Scherer, Steven E. and Schurko, Andrew M. and Siggens, Kenneth W. and Simmons, DeNard and Stief, Anna and Stolle, Eckart and Telford, Maximilian J. and Tessmar-Raible, Kristin and Thornton, Rebecca and van der Zee, Maurijn and von Haeseler, Arndt and Williams, James M. and Willis, Judith H. and Wu, Yuanqing and Zou, Xiaoyan and Lawson, Daniel and Muzny, Donna M. and Worley, Kim C. and Gibbs, Richard A. and Akam, Michael and Richards, Stephen}, title = {The first myriapod genome sequence reveals conservative arthropod gene content and genome organisation in the centipede Strigamia maritima}, series = {PLoS biology}, volume = {12}, journal = {PLoS biology}, number = {11}, publisher = {PLoS}, address = {San Fransisco}, issn = {1545-7885}, doi = {10.1371/journal.pbio.1002005}, pages = {24}, year = {2014}, abstract = {Myriapods (e. g., centipedes and millipedes) display a simple homonomous body plan relative to other arthropods. All members of the class are terrestrial, but they attained terrestriality independently of insects. Myriapoda is the only arthropod class not represented by a sequenced genome. We present an analysis of the genome of the centipede Strigamia maritima. It retains a compact genome that has undergone less gene loss and shuffling than previously sequenced arthropods, and many orthologues of genes conserved from the bilaterian ancestor that have been lost in insects. Our analysis locates many genes in conserved macro-synteny contexts, and many small-scale examples of gene clustering. We describe several examples where S. maritima shows different solutions from insects to similar problems. The insect olfactory receptor gene family is absent from S. maritima, and olfaction in air is likely effected by expansion of other receptor gene families. For some genes S. maritima has evolved paralogues to generate coding sequence diversity, where insects use alternate splicing. This is most striking for the Dscam gene, which in Drosophila generates more than 100,000 alternate splice forms, but in S. maritima is encoded by over 100 paralogues. We see an intriguing linkage between the absence of any known photosensory proteins in a blind organism and the additional absence of canonical circadian clock genes. The phylogenetic position of myriapods allows us to identify where in arthropod phylogeny several particular molecular mechanisms and traits emerged. For example, we conclude that juvenile hormone signalling evolved with the emergence of the exoskeleton in the arthropods and that RR-1 containing cuticle proteins evolved in the lineage leading to Mandibulata. We also identify when various gene expansions and losses occurred. The genome of S. maritima offers us a unique glimpse into the ancestral arthropod genome, while also displaying many adaptations to its specific life history.}, language = {en} } @article{MiddeldorpMahajanHorikoshietal.2019, author = {Middeldorp, Christel M. and Mahajan, Anubha and Horikoshi, Momoko and Robertson, Neil R. and Beaumont, Robin N. and Bradfield, Jonathan P. and Bustamante, Mariona and Cousminer, Diana L. and Day, Felix R. and De Silva, N. Maneka and Guxens, Monica and Mook-Kanamori, Dennis O. and St Pourcain, Beate and Warrington, Nicole M. and Adair, Linda S. and Ahlqvist, Emma and Ahluwalia, Tarunveer Singh and Almgren, Peter and Ang, Wei and Atalay, Mustafa and Auvinen, Juha and Bartels, Meike and Beckmann, Jacques S. and Bilbao, Jose Ramon and Bond, Tom and Borja, Judith B. and Cavadino, Alana and Charoen, Pimphen and Chen, Zhanghua and Coin, Lachlan and Cooper, Cyrus and Curtin, John A. and Custovic, Adnan and Das, Shikta and Davies, Gareth E. and Dedoussis, George V. and Duijts, Liesbeth and Eastwood, Peter R. and Eliasen, Anders U. and Elliott, Paul and Eriksson, Johan G. and Estivill, Xavier and Fadista, Joao and Fedko, Iryna O. and Frayling, Timothy M. and Gaillard, Romy and Gauderman, W. James and Geller, Frank and Gilliland, Frank and Gilsanz, Vincente and Granell, Raquel and Grarup, Niels and Groop, Leif and Hadley, Dexter and Hakonarson, Hakon and Hansen, Torben and Hartman, Catharina A. and Hattersley, Andrew T. and Hayes, M. Geoffrey and Hebebrand, Johannes and Heinrich, Joachim and Helgeland, Oyvind and Henders, Anjali K. and Henderson, John and Henriksen, Tine B. and Hirschhorn, Joel N. and Hivert, Marie-France and Hocher, Berthold and Holloway, John W. and Holt, Patrick and Hottenga, Jouke-Jan and Hypponen, Elina and Iniguez, Carmen and Johansson, Stefan and Jugessur, Astanand and Kahonen, Mika and Kalkwarf, Heidi J. and Kaprio, Jaakko and Karhunen, Ville and Kemp, John P. and Kerkhof, Marjan and Koppelman, Gerard H. and Korner, Antje and Kotecha, Sailesh and Kreiner-Moller, Eskil and Kulohoma, Benard and Kumar, Ashish and Kutalik, Zoltan and Lahti, Jari and Lappe, Joan M. and Larsson, Henrik and Lehtimaki, Terho and Lewin, Alexandra M. and Li, Jin and Lichtenstein, Paul and Lindgren, Cecilia M. and Lindi, Virpi and Linneberg, Allan and Liu, Xueping and Liu, Jun and Lowe, William L. and Lundstrom, Sebastian and Lyytikainen, Leo-Pekka and Ma, Ronald C. W. and Mace, Aurelien and Magi, Reedik and Magnus, Per and Mamun, Abdullah A. and Mannikko, Minna and Martin, Nicholas G. and Mbarek, Hamdi and McCarthy, Nina S. and Medland, Sarah E. and Melbye, Mads and Melen, Erik and Mohlke, Karen L. and Monnereau, Claire and Morgen, Camilla S. and Morris, Andrew P. and Murray, Jeffrey C. and Myhre, Ronny and Najman, Jackob M. and Nivard, Michel G. and Nohr, Ellen A. and Nolte, Ilja M. and Ntalla, Ioanna and Oberfield, Sharon E. and Oken, Emily and Oldehinkel, Albertine J. and Pahkala, Katja and Palviainen, Teemu and Panoutsopoulou, Kalliope and Pedersen, Oluf and Pennell, Craig E. and Pershagen, Goran and Pitkanen, Niina and Plomin, Robert and Power, Christine and Prasad, Rashmi B. and Prokopenko, Inga and Pulkkinen, Lea and Raikkonen, Katri and Raitakari, Olli T. and Reynolds, Rebecca M. and Richmond, Rebecca C. and Rivadeneira, Fernando and Rodriguez, Alina and Rose, Richard J. and Salem, Rany and Santa-Marina, Loreto and Saw, Seang-Mei and Schnurr, Theresia M. and Scott, James G. and Selzam, Saskia and Shepherd, John A. and Simpson, Angela and Skotte, Line and Sleiman, Patrick M. A. and Snieder, Harold and Sorensen, Thorkild I. A. and Standl, Marie and Steegers, Eric A. P. and Strachan, David P. and Straker, Leon and Strandberg, Timo and Taylor, Michelle and Teo, Yik-Ying and Thiering, Elisabeth and Torrent, Maties and Tyrrell, Jessica and Uitterlinden, Andre G. and van Beijsterveldt, Toos and van der Most, Peter J. and van Duijn, Cornelia M. and Viikari, Jorma and Vilor-Tejedor, Natalia and Vogelezang, Suzanne and Vonk, Judith M. and Vrijkotte, Tanja G. M. and Vuoksimaa, Eero and Wang, Carol A. and Watkins, William J. and Wichmann, H-Erich and Willemsen, Gonneke and Williams, Gail M. and Wilson, James F. and Wray, Naomi R. and Xu, Shujing and Xu, Cheng-Jian and Yaghootkar, Hanieh and Yi, Lu and Zafarmand, Mohammad Hadi and Zeggini, Eleftheria and Zemel, Babette S. and Hinney, Anke and Lakka, Timo A. and Whitehouse, Andrew J. O. and Sunyer, Jordi and Widen, Elisabeth E. and Feenstra, Bjarke and Sebert, Sylvain and Jacobsson, Bo and Njolstad, Pal R. and Stoltenberg, Camilla and Smith, George Davey and Lawlor, Debbie A. and Paternoster, Lavinia and Timpson, Nicholas J. and Ong, Ken K. and Bisgaard, Hans and Bonnelykke, Klaus and Jaddoe, Vincent W. V. and Tiemeier, Henning and Jarvelin, Marjo-Riitta and Evans, David M. and Perry, John R. B. and Grant, Struan F. A. and Boomsma, Dorret I. and Freathy, Rachel M. and McCarthy, Mark I. and Felix, Janine F.}, title = {The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia}, series = {European journal of epidemiology}, volume = {34}, journal = {European journal of epidemiology}, number = {3}, publisher = {Springer}, address = {Dordrecht}, organization = {EArly Genetics Lifecourse EGG Consortium EGG Membership EAGLE Membership}, issn = {0393-2990}, doi = {10.1007/s10654-019-00502-9}, pages = {279 -- 300}, year = {2019}, abstract = {The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.}, language = {en} } @misc{NathanHorvitzHeetal.2011, author = {Nathan, Ran and Horvitz, Nir and He, Yanping and Kuparinen, Anna and Schurr, Frank Martin and Katul, Gabriel G.}, title = {Spread of North American wind-dispersed trees in future environments}, series = {Ecology letters}, volume = {14}, journal = {Ecology letters}, number = {3}, publisher = {Wiley-Blackwell}, address = {Malden}, issn = {1461-023X}, doi = {10.1111/j.1461-0248.2010.01573.x}, pages = {211 -- 219}, year = {2011}, abstract = {P>Despite ample research, understanding plant spread and predicting their ability to track projected climate changes remain a formidable challenge to be confronted. We modelled the spread of North American wind-dispersed trees in current and future (c. 2060) conditions, accounting for variation in 10 key dispersal, demographic and environmental factors affecting population spread. Predicted spread rates vary substantially among 12 study species, primarily due to inter-specific variation in maturation age, fecundity and seed terminal velocity. Future spread is predicted to be faster if atmospheric CO2 enrichment would increase fecundity and advance maturation, irrespective of the projected changes in mean surface windspeed. Yet, for only a few species, predicted wind-driven spread will match future climate changes, conditioned on seed abscission occurring only in strong winds and environmental conditions favouring high survival of the farthest-dispersed seeds. Because such conditions are unlikely, North American wind-dispersed trees are expected to lag behind the projected climate range shift.}, language = {en} } @article{LamannaKirschbaumErnstetal.2016, author = {Lamanna, Francesco and Kirschbaum, Frank and Ernst, Anja R. R. and Feulner, Philine G. D. and Mamonekene, Victor and Paul, Christiane and Tiedemann, Ralph}, title = {Species delimitation and phylogenetic relationships in a genus of African weakly-electric fishes (Osteoglossiformes, Mormyridae, Campylomormyrus)}, series = {Molecular phylogenetics and evolution}, volume = {101}, journal = {Molecular phylogenetics and evolution}, publisher = {Elsevier}, address = {San Diego}, issn = {1055-7903}, doi = {10.1016/j.ympev.2016.04.035}, pages = {8 -- 18}, year = {2016}, abstract = {African weakly-electric fishes (Mormyridae) are able to communicate through species-specific electric signals; this feature might have favoured the evolutionary radiation observed in this family (over 200 species) by acting as an effective pre-zygotic isolation mechanism. In the present study we used mitochondria((cytb) and nuclear (rps7, scn4aa) markers in order to reconstruct a species-phylogeny and identify species boundaries for the genus Campylomormyrus, by applying inference methods based on the multispecies coalescent model. Additionally, we employed 16 microsatellite markers, landmark-based morphometric measurements, and electro-physiological analyses as independent lines of evidence to the results obtained from the sequence data. The results show that groups that are morphologically different are also significantly divergent at the genetic level, whereas morphologically similar groups, displaying dissimilar electric signals, do not show enough genetic diversity to be considered separate species. Furthermore, the data confirm the presence of a yet undescribed species within the genus Campylomormyrus. (C) 2016 Elsevier Inc. All rights reserved.}, language = {en} } @article{YatesElithLatimeretal.2010, author = {Yates, Colin J. and Elith, Jane and Latimer, Andrew M. and Le Maitre, David and Midgley, Guy F. and Schurr, Frank Martin and West, Adam G.}, title = {Projecting climate change impacts on species distributions in megadiverse South African Cape and Southwest Australian Floristic Regions : Opportunities and challenges}, issn = {1442-9985}, doi = {10.1111/j.1442-9993.2009.02044.x}, year = {2010}, abstract = {Increasing evidence shows that anthropogenic climate change is affecting biodiversity. Reducing or stabilizing greenhouse gas emissions may slow global warming, but past emissions will continue to contribute to further unavoidable warming for more than a century. With obvious signs of difficulties in achieving effective mitigation worldwide in the short term at least, sound scientific predictions of future impacts on biodiversity will be required to guide conservation planning and adaptation. This is especially true in Mediterranean type ecosystems that are projected to be among the most significantly affected by anthropogenic climate change, and show the highest levels of confidence in rainfall projections. Multiple methods are available for projecting the consequences of climate change on the main unit of interest - the species - with each method having strengths and weaknesses. Species distribution models (SDMs) are increasingly applied for forecasting climate change impacts on species geographic ranges. Aggregation of models for different species allows inferences of impacts on biodiversity, though excluding the effects of species interactions. The modelling approach is based on several further assumptions and projections and should be treated cautiously. In the absence of comparable approaches that address large numbers of species, SDMs remain valuable in estimating the vulnerability of species. In this review we discuss the application of SDMs in predicting the impacts of climate change on biodiversity with special reference to the species-rich South West Australian Floristic Region and South African Cape Floristic Region. We discuss the advantages and challenges in applying SDMs in biodiverse regions with high levels of endemicity, and how a similar biogeographical history in both regions may assist us in understanding their vulnerability to climate change. We suggest how the process of predicting the impacts of climate change on biodiversity with SDMs can be improved and emphasize the role of field monitoring and experiments in validating the predictions of SDMs.}, language = {en} } @article{DeFrenneRodriguezSanchezCoomesetal.2013, author = {De Frenne, Pieter and Rodriguez-Sanchez, Francisco and Coomes, David Anthony and B{\"a}ten, Lander and Verstr{\"a}ten, Gorik and Vellend, Mark and Bernhardt-R{\"o}mermann, Markus and Brown, Carissa D. and Brunet, J{\"o}rg and Cornelis, Johnny and Decocq, Guillaume M. and Dierschke, Hartmut and Eriksson, Ove and Gilliam, Frank S. and Hedl, Radim and Heinken, Thilo and Hermy, Martin and Hommel, Patrick and Jenkins, Michael A. and Kelly, Daniel L. and Kirby, Keith J. and Mitchell, Fraser J. G. and Naaf, Tobias and Newman, Miles and Peterken, George and Petrik, Petr and Schultz, Jan and Sonnier, Gregory and Van Calster, Hans and Waller, Donald M. and Walther, Gian-Reto and White, Peter S. and Woods, Kerry D. and Wulf, Monika and Graae, Bente Jessen and Verheyen, Kris}, title = {Microclimate moderates plant responses to macroclimate warming}, series = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {110}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, number = {46}, publisher = {National Acad. of Sciences}, address = {Washington}, issn = {0027-8424}, doi = {10.1073/pnas.1311190110}, pages = {18561 -- 18565}, year = {2013}, abstract = {Recent global warming is acting across marine, freshwater, and terrestrial ecosystems to favor species adapted to warmer conditions and/or reduce the abundance of cold-adapted organisms (i.e., "thermophilization" of communities). Lack of community responses to increased temperature, however, has also been reported for several taxa and regions, suggesting that "climatic lags" may be frequent. Here we show that microclimatic effects brought about by forest canopy closure can buffer biotic responses to macroclimate warming, thus explaining an apparent climatic lag. Using data from 1,409 vegetation plots in European and North American temperate forests, each surveyed at least twice over an interval of 12-67 y, we document significant thermophilization of ground-layer plant communities. These changes reflect concurrent declines in species adapted to cooler conditions and increases in species adapted to warmer conditions. However, thermophilization, particularly the increase of warm-adapted species, is attenuated in forests whose canopies have become denser, probably reflecting cooler growing-season ground temperatures via increased shading. As standing stocks of trees have increased in many temperate forests in recent decades, local microclimatic effects may commonly be moderating the impacts of macroclimate warming on forest understories. Conversely, increases in harvesting woody biomass-e.g., for bioenergy-may open forest canopies and accelerate thermophilization of temperate forest biodiversity.}, language = {en} } @article{SauerNeukirchenRahimietal.2004, author = {Sauer, Heinrich and Neukirchen, W. and Rahimi, G. and Gr{\"u}nbeck, Frank and Hescheler, J{\"u}rgen and Wartenberg, Maria}, title = {Involvement of reactive oxygen species in cardiotropin-1 (CT-1)-induced cell proliferation of cardiomyocytes differentiated from murine embryonic stem cells}, year = {2004}, language = {en} }