TY - JOUR A1 - Pook, Torsten A1 - Freudenthal, Jan A1 - Korte, Arthur A1 - Simianer, Henner T1 - Using Local Convolutional Neural Networks for Genomic Prediction JF - Frontiers in Genetics N2 - The prediction of breeding values and phenotypes is of central importance for both livestock and crop breeding. In this study, we analyze the use of artificial neural networks (ANN) and, in particular, local convolutional neural networks (LCNN) for genomic prediction, as a region-specific filter corresponds much better with our prior genetic knowledge on the genetic architecture of traits than traditional convolutional neural networks. Model performances are evaluated on a simulated maize data panel (n = 10,000; p = 34,595) and real Arabidopsis data (n = 2,039; p = 180,000) for a variety of traits based on their predictive ability. The baseline LCNN, containing one local convolutional layer (kernel size: 10) and two fully connected layers with 64 nodes each, is outperforming commonly proposed ANNs (multi layer perceptrons and convolutional neural networks) for basically all considered traits. For traits with high heritability and large training population as present in the simulated data, LCNN are even outperforming state-of-the-art methods like genomic best linear unbiased prediction (GBLUP), Bayesian models and extended GBLUP, indicated by an increase in predictive ability of up to 24%. However, for small training populations, these state-of-the-art methods outperform all considered ANNs. Nevertheless, the LCNN still outperforms all other considered ANNs by around 10%. Minor improvements to the tested baseline network architecture of the LCNN were obtained by increasing the kernel size and of reducing the stride, whereas the number of subsequent fully connected layers and their node sizes had neglectable impact. Although gains in predictive ability were obtained for large scale data sets by using LCNNs, the practical use of ANNs comes with additional problems, such as the need of genotyping all considered individuals, the lack of estimation of heritability and reliability. Furthermore, breeding values are additive by design, whereas ANN-based estimates are not. However, ANNs also comes with new opportunities, as networks can easily be extended to account for additional inputs (omics, weather etc.) and outputs (multi-trait models), and computing time increases linearly with the number of individuals. With advances in high-throughput phenotyping and cheaper genotyping, ANNs can become a valid alternative for genomic prediction. KW - phenotype prediction KW - Keras KW - genomic selection KW - selection KW - breeding KW - machine learning KW - deep learning Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-216436 VL - 11 ER - TY - JOUR A1 - Fukushima, Kenji A1 - Pollock, David D. T1 - Amalgamated cross-species transcriptomes reveal organ-specific propensity in gene expression evolution JF - Nature Communications N2 - The origins of multicellular physiology are tied to evolution of gene expression. Genes can shift expression as organisms evolve, but how ancestral expression influences altered descendant expression is not well understood. To examine this, we amalgamate 1,903 RNA-seq datasets from 182 research projects, including 6 organs in 21 vertebrate species. Quality control eliminates project-specific biases, and expression shifts are reconstructed using gene-family-wise phylogenetic Ornstein-Uhlenbeck models. Expression shifts following gene duplication result in more drastic changes in expression properties than shifts without gene duplication. The expression properties are tightly coupled with protein evolutionary rate, depending on whether and how gene duplication occurred. Fluxes in expression patterns among organs are nonrandom, forming modular connections that are reshaped by gene duplication. Thus, if expression shifts, ancestral expression in some organs induces a strong propensity for expression in particular organs in descendants. Regardless of whether the shifts are adaptive or not, this supports a major role for what might be termed preadaptive pathways of gene expression evolution. KW - phylogenetic trees KW - adaptive conflict KW - divergence times KW - duplicate genes KW - recent origin KW - package KW - selection KW - alignmen KW - rates KW - biology Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-230468 VL - 11, ER - TY - JOUR A1 - Moll, Karin A1 - Roces, Flavio A1 - Federle, Walter T1 - How Load-Carrying Ants Avoid Falling Over: Mechanical Stability during Foraging in Atta vollenweideri Grass-Cutting Ants JF - PLoS ONE N2 - Background: Foraging workers of grass-cutting ants (Atta vollenweideri) regularly carry grass fragments larger than their Fragment length has been shown to influence the ants' running speed and thereby the colony's food intake rate. We investigated whether and how grass-cutting ants maintain stability when carrying fragments of two different lengths but identical mass. Principal Findings: Ants carried all fragments in an upright, backwards-tilted position, but held long fragments more vertically than short ones. All carrying ants used an alternating tripod gait, where mechanical stability was increased by overlapping stance phases of consecutive steps. The overlap was greatest for ants carrying long fragments, resulting in more legs contacting the ground simultaneously. For all ants, the projection of the total centre of mass (ant and fragment) was often outside the supporting tripod, i.e. the three feet that would be in stance for a non-overlapping tripod gait. Stability was only achieved through additional legs in ground contact. Tripod stability (quantified as the minimum distance of the centre of mass to the edge of the supporting tripod) was significantly smaller for ants with long fragments. Here, tripod stability was lowest at the beginning of each step, when the center of mass was near the posterior margin of the supporting tripod. By contrast, tripod stability was lowest at the end of each step for ants carrying short fragments. Consistently, ants with long fragments mainly fell backwards, whereas ants carrying short fragments mainly fell forwards or to the side. Assuming that transporting ants adjust neither the fragment angle nor the gait, they would be less stable and more likely to fall over. Conclusions: In grass-cutting ants, the need to maintain static stability when carrying long grass fragments has led to multiple kinematic adjustments at the expense of a reduced material transport rate. KW - selection KW - tissue transport KW - stepping patterns KW - size determination KW - leaf-cutter ants KW - locomotion KW - distance KW - formicidae KW - strategies KW - cephalotes Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131211 VL - 8 IS - 1 ER - TY - JOUR A1 - Couch, Fergus J. A1 - Wang, Xianshu A1 - McGuffog, Lesley A1 - Lee, Andrew A1 - Olswold, Curtis A1 - Kuchenbaecker, Karoline B. A1 - Soucy, Penny A1 - Fredericksen, Zachary A1 - Barrowdale, Daniel A1 - Dennis, Joe A1 - Gaudet, Mia M. A1 - Dicks, Ed A1 - Kosel, Matthew A1 - Healey, Sue A1 - Sinilnikova, Olga M. A1 - Lee, Adam A1 - Bacot, Françios A1 - Vincent, Daniel A1 - Hogervorst, Frans B. L. A1 - Peock, Susan A1 - Stoppa-Lyonnet, Dominique A1 - Jakubowska, Anna A1 - Radice, Paolo A1 - Schmutzler, Rita Katharina A1 - Domchek, Susan M. A1 - Piedmonte, Marion A1 - Singer, Christian F. A1 - Friedman, Eitan A1 - Thomassen, Mads A1 - Hansen, Thomas V. O. A1 - Neuhausen, Susan L. A1 - Szabo, Csilla I. A1 - Blanco, Ingnacio A1 - Greene, Mark H. A1 - Karlan, Beth Y. A1 - Garber, Judy A1 - Phelan, Catherine M. A1 - Weitzel, Jeffrey N. A1 - Montagna, Marco A1 - Olah, Edith A1 - Andrulis, Irene L. A1 - Godwin, Andrew K. A1 - Yannoukakos, Drakoulis A1 - Goldgar, David E. A1 - Caldes, Trinidad A1 - Nevanlinna, Heli A1 - Osorio, Ana A1 - Terry, Mary Beth A1 - Daly, Mary B. A1 - van Rensburg, Elisabeth J. A1 - Hamann, Ute A1 - Ramus, Susan J. A1 - Toland, Amanda Ewart A1 - Caligo, Maria A. A1 - Olopade, Olufunmilayo I. A1 - Tung, Nadine A1 - Claes, Kathleen A1 - Beattie, Mary S. A1 - Southey, Melissa C. A1 - Imyanitov, Evgeny N. A1 - Tischkowitz, Marc A1 - Janavicius, Ramunas A1 - John, Esther M. A1 - Kwong, Ava A1 - Diez, Orland A1 - Kwong, Ava A1 - Balmaña, Judith A1 - Barkardottir, Rosa B. A1 - Arun, Banu K. A1 - Rennert, Gad A1 - Teo, Soo-Hwang A1 - Ganz, Patricia A. A1 - Campbell, Ian A1 - van der Hout, Annemarie H. A1 - van Deurzen, Carolien H. M. A1 - Seynaeve, Caroline A1 - Garcia, Encarna B. Gómez A1 - van Leeuwen, Flora E. A1 - Meijers-Heijboer, Hanne E. J. A1 - Gille, Johannes J. P. A1 - Ausems, Magreet G. E. M. A1 - Blok, Marinus J. A1 - Ligtenberg, Marjolinjin J. L. A1 - Rookus, Matti A. A1 - Devilee, Peter A1 - Verhoef, Senno A1 - van Os, Theo A. M. A1 - Wijnen, Juul T. A1 - Frost, Debra A1 - Ellis, Steve A1 - Fineberg, Elena A1 - Platte, Radke A1 - Evans, D. Gareth A1 - Izatt, Luise A1 - Eeles, Rosalind A. A1 - Adlard, Julian A1 - Eccles, Diana M. A1 - Cook, Jackie A1 - Brewer, Carole A1 - Douglas, Fiona A1 - Hodgson, Shirley A1 - Morrison, Patrick J. A1 - Side, Lucy E. A1 - Donaldson, Alan A1 - Houghton, Catherine A1 - Rogers, Mark T. A1 - Dorkins, Huw A1 - Eason, Jacqueline A1 - Gregory, Helen A1 - McCann, Emma A1 - Murray, Alex A1 - Calender, Alain A1 - Hardouin, Agnès A1 - Berthet, Pascaline A1 - Delnatte, Capucine A1 - Nogues, Catherine A1 - Lasset, Christine A1 - Houdayer, Claude A1 - Leroux,, Dominique A1 - Rouleau, Etienne A1 - Prieur, Fabienne A1 - Damiola, Francesca A1 - Sobol, Hagay A1 - Coupier, Isabelle A1 - Venat-Bouvet, Laurence A1 - Castera, Laurent A1 - Gauthier-Villars, Marion A1 - Léoné, Mélanie A1 - Pujol, Pascal A1 - Mazoyer, Sylvie A1 - Bignon, Yves-Jean A1 - Zlowocka-Perlowska, Elzbieta A1 - Gronwald, Jacek A1 - Lubinski,, Jan A1 - Durda, Katarzyna A1 - Jaworska, Katarzyna A1 - Huzarski, Tomasz A1 - Spurdle, Amanda B. A1 - Viel, Alessandra A1 - Peissel, Bernhard A1 - Bonanni, Bernardo A1 - Melloni, Guilia A1 - Ottini, Laura A1 - Papi, Laura A1 - Varesco, Liliana A1 - Tibiletti, Maria Grazia A1 - Peterlongo, Paolo A1 - Volorio, Sara A1 - Manoukian, Siranoush A1 - Pensotti, Valeria A1 - Arnold, Norbert A1 - Engel, Christoph A1 - Deissler, Helmut A1 - Gadzicki, Dorothea A1 - Gehrig, Andrea A1 - Kast, Karin A1 - Rhiem, Kerstin A1 - Meindl, Alfons A1 - Niederacher, Dieter A1 - Ditsch, Nina A1 - Plendl, Hansjoerg A1 - Preisler-Adams, Sabine A1 - Engert, Stefanie A1 - Sutter, Christian A1 - Varon-Mateeva, Raymenda A1 - Wappenschmidt, Barbara A1 - Weber, Bernhard H. F. A1 - Arver, Brita A1 - Stenmark-Askmalm, Marie A1 - Loman, Niklas A1 - Rosenquist, Richard A1 - Einbeigi, Zakaria A1 - Nathanson, Katherine L. A1 - Rebbeck, Timothy R. A1 - Blank, Stephanie V. A1 - Cohn, David E. A1 - Rodriguez, Gustavo C. A1 - Small, Laurie A1 - Friedlander, Michael A1 - Bae-Jump, Victoria L. A1 - Fink-Retter, Anneliese A1 - Rappaport, Christine A1 - Gschwantler-Kaulich, Daphne A1 - Pfeiler, Georg A1 - Tea, Muy-Kheng A1 - Lindor, Noralane M. A1 - Kaufman, Bella A1 - Paluch, Shani Shimon A1 - Laitman, Yael A1 - Skytte, Anne-Bine A1 - Gerdes, Anne-Marie A1 - Pedersen, Inge Sokilde A1 - Moeller, Sanne Traasdahl A1 - Kruse, Torben A. A1 - Jensen, Uffe Birk A1 - Vijai, Joseph A1 - Sarrel, Kara A1 - Robson, Mark A1 - Kauff, Noah A1 - Mulligan, Anna Marie A1 - Glendon, Gord A1 - Ozcelik, Hilmi A1 - Ejlertsen, Bent A1 - Nielsen, Finn C. A1 - Jønson, Lars A1 - Andersen, Mette K. A1 - Ding, Yuan Chun A1 - Steele, Linda A1 - Foretova, Lenka A1 - Teulé, Alex A1 - Lazaro, Conxi A1 - Brunet, Joan A1 - Pujana, Miquel Angel A1 - Mai, Phuong L. A1 - Loud, Jennifer T. A1 - Walsh, Christine A1 - Lester, Jenny A1 - Orsulic, Sandra A1 - Narod, Steven A. A1 - Herzog, Josef A1 - Sand, Sharon R. A1 - Tognazzo, Silvia A1 - Agata, Simona A1 - Vaszko, Tibor A1 - Weaver, Joellen A1 - Stravropoulou, Alexandra V. A1 - Buys, Saundra S. A1 - Romero, Atocha A1 - de la Hoya, Miguel A1 - Aittomäki, Kristiina A1 - Muranen, Taru A. A1 - Duran, Mercedes A1 - Chung, Wendy K. A1 - Lasa, Adriana A1 - Dorfling, Cecilia M. A1 - Miron, Alexander A1 - Benitez, Javier A1 - Senter, Leigha A1 - Huo, Dezheng A1 - Chan, Salina B. A1 - Sokolenko, Anna P. A1 - Chiquette, Jocelyne A1 - Tihomirova, Laima A1 - Friebel, Tara M. A1 - Agnarsson, Bjarne A. A1 - Lu, Karen H. A1 - Lejbkowicz, Flavio A1 - James, Paul A. A1 - Hall, Per A1 - Dunning, Alison M. A1 - Tessier, Daniel A1 - Cunningham, Julie A1 - Slager, Susan L. A1 - Chen, Wang A1 - Hart, Steven A1 - Stevens, Kristen A1 - Simard, Jacques A1 - Pastinen, Tomi A1 - Pankratz, Vernon S. A1 - Offit, Kenneth A1 - Easton, Douglas F. A1 - Chenevix-Trench, Georgia A1 - Antoniou, Antonis C. T1 - Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk JF - PLOS Genetics N2 - BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 x 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 x 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 x 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2 x 10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers. KW - common variants KW - susceptibility alleles KW - genetic variants KW - modifiers KW - ZNF365 KW - investigators KW - population KW - consortium KW - selection KW - subtypes Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-127947 SN - 1553-7404 VL - 9 IS - 3 ER - TY - JOUR A1 - Wäschke, Nicole A1 - Hardge, Kerstin A1 - Hancock, Christine A1 - Hilker, Monika A1 - Obermaier, Elisabeth A1 - Meiners, Torsten T1 - Odour Environments: How Does Plant Diversity Affect Herbivore and Parasitoid Orientation? JF - PlOS ONE N2 - Plant diversity is known to affect success of host location by pest insects, but its effect on olfactory orientation of non-pest insect species has hardly been addressed. First, we tested in laboratory experiments the hypothesis that non-host plants, which increase odour complexity in habitats, affect the host location ability of herbivores and parasitoids. Furthermore, we recorded field data of plant diversity in addition to herbivore and parasitoid abundance at 77 grassland sites in three different regions in Germany in order to elucidate whether our laboratory results reflect the field situation. As a model system we used the herb Plantago lanceolata, the herbivorous weevil Mecinus pascuorum, and its larval parasitoid Mesopolobus incultus. The laboratory bioassays revealed that both the herbivorous weevil and its larval parasitoid can locate their host plant and host via olfactory cues even in the presence of non-host odour. In a newly established two-circle olfactometer, the weevils capability to detect host plant odour was not affected by odours from non-host plants. However, addition of non-host plant odours to host plant odour enhanced the weevils foraging activity. The parasitoid was attracted by a combination of host plant and host volatiles in both the absence and presence of non-host plant volatiles in a Y-tube olfactometer. In dual choice tests the parasitoid preferred the blend of host plant and host volatiles over its combination with non-host plant volatiles. In the field, no indication was found that high plant diversity disturbs host (plant) location by the weevil and its parasitoid. In contrast, plant diversity was positively correlated with weevil abundance, whereas parasitoid abundance was independent of plant diversity. Therefore, we conclude that weevils and parasitoids showed the sensory capacity to successfully cope with complex vegetation odours when searching for hosts. KW - dentichasmias busseolae KW - nonhost plant KW - volatiles KW - selection KW - invertebrate herbivory KW - location behavior KW - foraging behavior KW - background odor KW - natural enemies Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-117687 SN - 1932-6203 VL - 9 IS - 1 ER -