TY  - JOUR
A1  - Lu, Yuan
A1  - Boswell, Mikki
A1  - Boswell, William
A1  - Kneitz, Susanne
A1  - Klotz, Barbara
A1  - Savage, Markita
A1  - Salinas, Raquel
A1  - Marks, Rebacca
A1  - Regneri, Janine
A1  - Postlethwait, John
A1  - Warren, Wesley C.
A1  - Schartl, Manfred
A1  - Walter, Ronald
T1  - Gene expression variation and parental allele inheritance in a Xiphophorus interspecies hybridization model
JF  - PLoS Genetics
N2  - Understanding the genetic mechanisms underlying segregation of phenotypic variation through successive generations is important for understanding physiological changes and disease risk. Tracing the etiology of variation in gene expression enables identification of genetic interactions, and may uncover molecular mechanisms leading to the phenotypic expression of a trait, especially when utilizing model organisms that have well-defined genetic lineages. There are a plethora of studies that describe relationships between gene expression and genotype, however, the idea that global variations in gene expression are also controlled by genotype remains novel. Despite the identification of loci that control gene expression variation, the global understanding of how genome constitution affects trait variability is unknown. To study this question, we utilized Xiphophorus fish of different, but tractable genetic backgrounds (inbred, F1 interspecies hybrids, and backcross hybrid progeny), and measured each individual’s gene expression concurrent with the degrees of inter-individual expression variation. We found, (a) F1 interspecies hybrids exhibited less variability than inbred animals, indicting gene expression variation is not affected by the fraction of heterozygous loci within an individual genome, and (b), that mixing genotypes in backcross populations led to higher levels of gene expression variability, supporting the idea that expression variability is caused by heterogeneity of genotypes of cis or trans loci. In conclusion, heterogeneity of genotype, introduced by inheritance of different alleles, accounts for the largest effects on global phenotypical variability.
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-237318
VL  - 14
ER  - 
TY  - JOUR
A1  - Dornelas, Maria
A1  - Antão, Laura H.
A1  - Moyes, Faye
A1  - Bates, Amanda E.
A1  - Magurran, Anne E.
A1  - Adam, Dušan
A1  - Akhmetzhanova, Asem A.
A1  - Appeltans, Ward
A1  - Arcos, José Manuel
A1  - Arnold, Haley
A1  - Ayyappan, Narayanan
A1  - Badihi, Gal
A1  - Baird, Andrew H.
A1  - Barbosa, Miguel
A1  - Barreto, Tiago Egydio
A1  - Bässler, Claus
A1  - Bellgrove, Alecia
A1  - Belmaker, Jonathan
A1  - Benedetti-Cecchi, Lisandro
A1  - Bett, Brian J.
A1  - Bjorkman, Anne D.
A1  - Błażewicz, Magdalena
A1  - Blowes, Shane A.
A1  - Bloch, Christopher P. Bloch
A1  - Bonebrake, Timothy C.
A1  - Boyd, Susan
A1  - Bradford, Matt
A1  - Brooks, Andrew J.
A1  - Brown, James H.
A1  - Bruelheide, Helge
A1  - Budy, Phaedra
A1  - Carvalho, Fernando
A1  - Castañeda-Moya, Edward
A1  - Chen, Chaolun Allen
A1  - Chamblee, John F.
A1  - Chase, Tory J.
A1  - Siegwart Collier, Laura
A1  - Collinge, Sharon K.
A1  - Condit, Richard
A1  - Cooper, Elisabeth J.
A1  - Cornelissen, J. Hans C.
A1  - Cotano, Unai
A1  - Crow, Shannan Kyle
A1  - Damasceno, Gabriella
A1  - Davies, Claire H.
A1  - Davis, Robert A.
A1  - Day, Frank P.
A1  - Degraer, Steven
A1  - Doherty, Tim S.
A1  - Dunn, Timothy E.
A1  - Durigan, Giselda
A1  - Duffy, J. Emmett
A1  - Edelist, Dor
A1  - Edgar, Graham J.
A1  - Elahi, Robin
A1  - Elmendorf, Sarah C.
A1  - Enemar, Anders
A1  - Ernest, S. K. Morgan
A1  - Escribano, Rubén
A1  - Estiarte, Marc
A1  - Evans, Brian S.
A1  - Fan, Tung-Yung
A1  - Turini Farah, Fabiano
A1  - Loureiro Fernandes, Luiz
A1  - Farneda, Fábio Z.
A1  - Fidelis, Alessandra
A1  - Fitt, Robert
A1  - Fosaa, Anna Maria
A1  - Franco, Geraldo Antonio Daher Correa
A1  - Frank, Grace E.
A1  - Fraser, William R.
A1  - García, Hernando
A1  - Cazzolla Gatti, Roberto
A1  - Givan, Or
A1  - Gorgone-Barbosa, Elizabeth
A1  - Gould, William A.
A1  - Gries, Corinna
A1  - Grossman, Gary D.
A1  - Gutierréz, Julio R.
A1  - Hale, Stephen
A1  - Harmon, Mark E.
A1  - Harte, John
A1  - Haskins, Gary
A1  - Henshaw, Donald L.
A1  - Hermanutz, Luise
A1  - Hidalgo, Pamela
A1  - Higuchi, Pedro
A1  - Hoey, Andrew
A1  - Van Hoey, Gert
A1  - Hofgaard, Annika
A1  - Holeck, Kristen
A1  - Hollister, Robert D.
A1  - Holmes, Richard
A1  - Hoogenboom, Mia
A1  - Hsieh, Chih-hao
A1  - Hubbell, Stephen P.
A1  - Huettmann, Falk
A1  - Huffard, Christine L.
A1  - Hurlbert, Allen H.
A1  - Ivanauskas, Natália Macedo
A1  - Janík, David
A1  - Jandt, Ute
A1  - Jażdżewska, Anna
A1  - Johannessen, Tore
A1  - Johnstone, Jill
A1  - Jones, Julia
A1  - Jones, Faith A. M.
A1  - Kang, Jungwon
A1  - Kartawijaya, Tasrif
A1  - Keeley, Erin C.
A1  - Kelt, Douglas A.
A1  - Kinnear, Rebecca
A1  - Klanderud, Kari
A1  - Knutsen, Halvor
A1  - Koenig, Christopher C.
A1  - Kortz, Alessandra R.
A1  - Král, Kamil
A1  - Kuhnz, Linda A.
A1  - Kuo, Chao-Yang
A1  - Kushner, David J.
A1  - Laguionie-Marchais, Claire
A1  - Lancaster, Lesley T.
A1  - Lee, Cheol Min
A1  - Lefcheck, Jonathan S.
A1  - Lévesque, Esther
A1  - Lightfoot, David
A1  - Lloret, Francisco
A1  - Lloyd, John D.
A1  - López-Baucells, Adrià
A1  - Louzao, Maite
A1  - Madin, Joshua S.
A1  - Magnússon, Borgþór
A1  - Malamud, Shahar
A1  - Matthews, Iain
A1  - McFarland, Kent P.
A1  - McGill, Brian
A1  - McKnight, Diane
A1  - McLarney, William O.
A1  - Meador, Jason
A1  - Meserve, Peter L.
A1  - Metcalfe, Daniel J.
A1  - Meyer, Christoph F. J.
A1  - Michelsen, Anders
A1  - Milchakova, Nataliya
A1  - Moens, Tom
A1  - Moland, Even
A1  - Moore, Jon
A1  - Moreira, Carolina Mathias
A1  - Müller, Jörg
A1  - Murphy, Grace
A1  - Myers-Smith, Isla H.
A1  - Myster, Randall W.
A1  - Naumov, Andrew
A1  - Neat, Francis
A1  - Nelson, James A.
A1  - Nelson, Michael Paul
A1  - Newton, Stephen F.
A1  - Norden, Natalia
A1  - Oliver, Jeffrey C.
A1  - Olsen, Esben M.
A1  - Onipchenko, Vladimir G.
A1  - Pabis, Krzysztof
A1  - Pabst, Robert J.
A1  - Paquette, Alain
A1  - Pardede, Sinta
A1  - Paterson, David M.
A1  - Pélissier, Raphaël
A1  - Peñuelas, Josep
A1  - Pérez-Matus, Alejandro
A1  - Pizarro, Oscar
A1  - Pomati, Francesco
A1  - Post, Eric
A1  - Prins, Herbert H. T.
A1  - Priscu, John C.
A1  - Provoost, Pieter
A1  - Prudic, Kathleen L.
A1  - Pulliainen, Erkki
A1  - Ramesh, B. R.
A1  - Ramos, Olivia Mendivil
A1  - Rassweiler, Andrew
A1  - Rebelo, Jose Eduardo
A1  - Reed, Daniel C.
A1  - Reich, Peter B.
A1  - Remillard, Suzanne M.
A1  - Richardson, Anthony J.
A1  - Richardson, J. Paul
A1  - van Rijn, Itai
A1  - Rocha, Ricardo
A1  - Rivera-Monroy, Victor H.
A1  - Rixen, Christian
A1  - Robinson, Kevin P.
A1  - Rodrigues, Ricardo Ribeiro
A1  - de Cerqueira Rossa-Feres, Denise
A1  - Rudstam, Lars
A1  - Ruhl, Henry
A1  - Ruz, Catalina S.
A1  - Sampaio, Erica M.
A1  - Rybicki, Nancy
A1  - Rypel, Andrew
A1  - Sal, Sofia
A1  - Salgado, Beatriz
A1  - Santos, Flavio A. M.
A1  - Savassi-Coutinho, Ana Paula
A1  - Scanga, Sara
A1  - Schmidt, Jochen
A1  - Schooley, Robert
A1  - Setiawan, Fakhrizal
A1  - Shao, Kwang-Tsao
A1  - Shaver, Gaius R.
A1  - Sherman, Sally
A1  - Sherry, Thomas W.
A1  - Siciński, Jacek
A1  - Sievers, Caya
A1  - da Silva, Ana Carolina
A1  - da Silva, Fernando Rodrigues
A1  - Silveira, Fabio L.
A1  - Slingsby, Jasper
A1  - Smart, Tracey
A1  - Snell, Sara J.
A1  - Soudzilovskaia, Nadejda A.
A1  - Souza, Gabriel B. G.
A1  - Souza, Flaviana Maluf
A1  - Souza, Vinícius Castro
A1  - Stallings, Christopher D.
A1  - Stanforth, Rowan
A1  - Stanley, Emily H.
A1  - Sterza, José Mauro
A1  - Stevens, Maarten
A1  - Stuart-Smith, Rick
A1  - Suarez, Yzel Rondon
A1  - Supp, Sarah
A1  - Tamashiro, Jorge Yoshio
A1  - Tarigan, Sukmaraharja
A1  - Thiede, Gary P.
A1  - Thorn, Simon
A1  - Tolvanen, Anne
A1  - Toniato, Maria Teresa Zugliani
A1  - Totland, Ørjan
A1  - Twilley, Robert R.
A1  - Vaitkus, Gediminas
A1  - Valdivia, Nelson
A1  - Vallejo, Martha Isabel
A1  - Valone, Thomas J.
A1  - Van Colen, Carl
A1  - Vanaverbeke, Jan
A1  - Venturoli, Fabio
A1  - Verheye, Hans M.
A1  - Vianna, Marcelo
A1  - Vieira, Rui P.
A1  - Vrška, Tomáš
A1  - Vu, Con Quang
A1  - Vu, Lien Van
A1  - Waide, Robert B.
A1  - Waldock, Conor
A1  - Watts, Dave
A1  - Webb, Sara
A1  - Wesołowski, Tomasz
A1  - White, Ethan P.
A1  - Widdicombe, Claire E.
A1  - Wilgers, Dustin
A1  - Williams, Richard
A1  - Williams, Stefan B.
A1  - Williamson, Mark
A1  - Willig, Michael R.
A1  - Willis, Trevor J.
A1  - Wipf, Sonja
A1  - Woods, Kerry D.
A1  - Woehler, Eric J.
A1  - Zawada, Kyle
A1  - Zettler, Michael L.
T1  - BioTIME: A database of biodiversity time series for the Anthropocene
JF  - Global Ecology and Biogeography
N2  - Motivation
The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.

Main types of variables included
The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record.

Spatial location and grain
BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).

Time period and grain
BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.

Major taxa and level of measurement
BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.

Software format
.csv and .SQL.
KW  - biodiversity
KW  - global
KW  - spatial
KW  - species richness
KW  - temporal
KW  - turnover
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-222846
VL  - 27
ER  - 
TY  - JOUR
A1  - Moll, Julia
A1  - Kellner, Harald
A1  - Leonhardt, Sabrina
A1  - Stengel, Elisa
A1  - Dahl, Andreas
A1  - Bässler, Claus
A1  - Buscot, François
A1  - Hofrichter, Martin
A1  - Hoppe, Björn
T1  - Bacteria inhabiting deadwood of 13 tree species are heterogeneously distributed between sapwood and heartwood
JF  - Environmental Microbiology
N2  - Deadwood represents an important structural component of forest ecosystems, where it provides diverse niches for saproxylic biota. Although wood-inhabiting prokaryotes are involved in its degradation, knowledge about their diversity and the drivers of community structure is scarce. To explore the effect of deadwood substrate on microbial distribution, the present study focuses on the microbial communities of deadwood logs from 13 different tree species investigated using an amplicon based deep-sequencing analysis. Sapwood and heartwood communities were analysed separately and linked to various relevant wood physico-chemical parameters. Overall, Proteobacteria, Acidobacteria and Actinobacteria represented the most dominant phyla. Microbial OTU richness and community structure differed significantly between tree species and between sapwood and heartwood. These differences were more pronounced for heartwood than for sapwood. The pH value and water content were the most important drivers in both wood compartments. Overall, investigating numerous tree species and two compartments provided a remarkably comprehensive view of microbial diversity in deadwood.
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-224168
VL  - 20
ER  - 
TY  - JOUR
A1  - Hilmers, Torben
A1  - Friess, Nicolas
A1  - Bässler, Claus
A1  - Heurich, Marco
A1  - Brandl, Roland
A1  - Pretzsch, Hans
A1  - Seidl, Rupert
A1  - Müller, Jörg
T1  - Biodiversity along temperate forest succession
JF  - Journal of Applied Ecology
N2  - 1.
The successional dynamics of forests—from canopy openings to regeneration, maturation, and decay—influence the amount and heterogeneity of resources available for forest-dwelling organisms. Conservation has largely focused only on selected stages of forest succession (e.g., late-seral stages). However, to develop comprehensive conservation strategies and to understand the impact of forest management on biodiversity, a quantitative understanding of how different trophic groups vary over the course of succession is needed.

2.
We classified mixed mountain forests in Central Europe into nine successional stages using airborne LiDAR. We analysed α- and β-diversity of six trophic groups encompassing approximately 3,000 species from three kingdoms. We quantified the effect of successional stage on the number of species with and without controlling for species abundances and tested whether the data fit the more-individuals hypothesis or the habitat heterogeneity hypothesis. Furthermore, we analysed the similarity of assemblages along successional development.

3.
The abundance of producers, first-order consumers, and saprotrophic species showed a U-shaped response to forest succession. The number of species of producer and consumer groups generally followed this U-shaped pattern. In contrast to our expectation, the number of saprotrophic species did not change along succession. When we controlled for the effect of abundance, the number of producer and saproxylic beetle species increased linearly with forest succession, whereas the U-shaped response of the number of consumer species persisted. The analysis of assemblages indicated a large contribution of succession-mediated β-diversity to regional γ-diversity.

4.
Synthesis and applications. Depending on the species group, our data supported both the more-individuals hypothesis and the habitat heterogeneity hypothesis. Our results highlight the strong influence of forest succession on biodiversity and underline the importance of controlling for successional dynamics when assessing biodiversity change in response to external drivers such as climate change. The successional stages with highest diversity (early and late successional stages) are currently strongly underrepresented in the forests of Central Europe. We thus recommend that conservation strategies aim at a more balanced representation of all successional stages.
KW  - biodiversity
KW  - forest dynamics
KW  - forest succession
KW  - habitat heterogeneity
KW  - LiDAR
KW  - species density
KW  - temperate forests
KW  - β-diversity
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-320632
VL  - 55
ER  - 
TY  - JOUR
A1  - Hillaert, Jasmijn
A1  - Hovestadt, Thomas
A1  - Vandegehuchte, Martijn L.
A1  - Bonte, Dries
T1  - Size-dependent movement explains why bigger is better in fragmented landscapes
JF  - Ecology and Evolution
N2  - Body size is a fundamental trait known to allometrically scale with metabolic rate and therefore a key determinant of individual development, life history, and consequently fitness. In spatially structured environments, movement is an equally important driver of fitness. Because movement is tightly coupled with body size, we expect habitat fragmentation to induce a strong selection pressure on size variation across and within species. Changes in body size distributions are then, in turn, expected to alter food web dynamics. However, no consensus has been reached on how spatial isolation and resource growth affect consumer body size distributions. Our aim was to investigate how these two factors shape the body size distribution of consumers under scenarios of size-dependent and size-independent consumer movement by applying a mechanistic, individual-based resource–consumer model. We also assessed the consequences of altered body size distributions for important ecosystem traits such as resource abundance and consumer stability. Finally, we determined those factors that explain most variation in size distributions. We demonstrate that decreasing connectivity and resource growth select for communities (or populations) consisting of larger species (or individuals) due to strong selection for the ability to move over longer distances if the movement is size-dependent. When including size-dependent movement, intermediate levels of connectivity result in increases in local size diversity. Due to this elevated functional diversity, resource uptake is maximized at the metapopulation or metacommunity level. At these intermediate levels of connectivity, size-dependent movement explains most of the observed variation in size distributions. Interestingly, local and spatial stability of consumer biomass is lowest when isolation and resource growth are high. Finally, we highlight that size-dependent movement is of vital importance for the survival of populations or communities within highly fragmented landscapes. Our results demonstrate that considering size-dependent movement is essential to understand how habitat fragmentation and resource growth shape body size distributions—and the resulting metapopulation or metacommunity dynamics—of consumers.
KW  - allometric scaling
KW  - body size distributions;
KW  - eco-evolutionary dynamics
KW  - habitat fragmentation
KW  - isolation
KW  - metabolic theory
KW  - optimal size
KW  - size-dependent movement
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-320322
VL  - 8
ER  - 
TY  - JOUR
A1  - Stein, Katharina
A1  - Stenchly, Kathrin
A1  - Coulibaly, Drissa
A1  - Pauly, Alain
A1  - Dimobe, Kangbeni
A1  - Steffan-Dewenter, Ingolf
A1  - Konaté, Souleymane
A1  - Goetze, Dethardt
A1  - Porembski, Stefan
A1  - Linsenmair, K. Eduard
T1  - Impact of human disturbance on bee pollinator communities in savanna and agricultural sites in Burkina Faso, West Africa
JF  - Ecology and Evolution
N2  - All over the world, pollinators are threatened by land-use change involving degradation of seminatural habitats or conversion into agricultural land. Such disturbance often leads to lowered pollinator abundance and/or diversity, which might reduce crop yield in adjacent agricultural areas. For West Africa, changes in bee communities across disturbance gradients from savanna to agricultural land are mainly unknown. In this study, we monitored for the impact of human disturbance on bee communities in savanna and crop fields. We chose three savanna areas of varying disturbance intensity (low, medium, and high) in the South Sudanian zone of Burkina Faso, based on land-use/land cover data via Landsat images, and selected nearby cotton and sesame fields. During 21 months covering two rainy and two dry seasons in 2014 and 2015, we captured bees using pan traps. Spatial and temporal patterns of bee species abundance, richness, evenness and community structure were assessed. In total, 35,469 bee specimens were caught on 12 savanna sites and 22 fields, comprising 97 species of 32 genera. Bee abundance was highest at intermediate disturbance in the rainy season. Species richness and evenness did not differ significantly. Bee communities at medium and highly disturbed savanna sites comprised only subsets of those at low disturbed sites. An across-habitat spillover of bees (mostly abundant social bee species) from savanna into crop fields was observed during the rainy season when crops are mass-flowering, whereas most savanna plants are not in bloom. Despite disturbance intensification, our findings suggest that wild bee communities can persist in anthropogenic landscapes and that some species even benefitted disproportionally. West African areas of crop production such as for cotton and sesame may serve as important food resources for bee species in times when resources in the savanna are scarce and receive at the same time considerable pollination service.
KW  - bee communities
KW  - cotton
KW  - sesame
KW  - species spillover
KW  - sub-Saharan Africa
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-239999
VL  - 8
ER  - 
TY  - JOUR
A1  - Minden, Vanessa
A1  - Schnetger, Bernhard
A1  - Pufal, Gesine
A1  - Leonhardt, Sara D.
T1  - Antibiotic-induced effects on scaling relationships and on plant element contents in herbs and grasses
JF  - Ecology and Evolution
N2  - Plant performance is correlated with element concentrations in plant tissue, which may be impacted by adverse chemical soil conditions. Antibiotics of veterinary origin can adversely affect plant performance. They are released to agricultural fields via grazing animals or manure, taken up by plants and may be stored, transformed or sequestered by plant metabolic processes. We studied the potential effects of three antibiotics (penicillin, sulfadiazine, and tetracycline) on plant element contents (macro- and microelements). Plant species included two herb species (Brassica napus and Capsella bursa-pastoris) and two grass species (Triticum aestivum and Apera spica-venti), representing two crop species and two noncrop species commonly found in field margins, respectively. Antibiotic concentrations were chosen as to reflect in vivo situations, that is, relatively low concentrations similar to those detected in soils. In a greenhouse experiment, plants were raised in soil spiked with antibiotics. After harvest, macro- and microelements in plant leaves, stems, and roots were determined (mg/g). Results indicate that antibiotics can affect element contents in plants. Penicillin exerted the greatest effect both on element contents and on scaling relationships of elements between plant organs. Roots responded strongest to antibiotics compared to stems and leaves. We conclude that antibiotics in the soil, even in low concentrations, lead to low-element homeostasis, altering the scaling relationships between roots and other plant organs, which may affect metabolic processes and ultimately the performance of a plant.
KW  - antibiotics
KW  - homeostasis
KW  - scaling relationships
KW  - standardized major axis regression
KW  - tissue nutrient contents
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-224094
VL  - 8
ER  - 
TY  - JOUR
A1  - Schubert, Frank K.
A1  - Hagedorn, Nicolas
A1  - Yoshii, Taishi
A1  - Helfrich-Förster, Charlotte
A1  - Rieger, Dirk
T1  - Neuroanatomical details of the lateral neurons of Drosophila melanogaster support their functional role in the circadian system
JF  - Journal of Comparative Neurology
N2  - Drosophila melanogaster is a long-standing model organism in the circadian clock research. A major advantage is the relative small number of about 150 neurons, which built the circadian clock in Drosophila. In our recent work, we focused on the neuroanatomical properties of the lateral neurons of the clock network. By applying the multicolor-labeling technique Flybow we were able to identify the anatomical similarity of the previously described E2 subunit of the evening oscillator of the clock, which is built by the 5th small ventrolateral neuron (5th s-LNv) and one ITP positive dorsolateral neuron (LNd). These two clock neurons share the same spatial and functional properties. We found both neurons innervating the same brain areas with similar pre- and postsynaptic sites in the brain. Here the anatomical findings support their shared function as a main evening oscillator in the clock network like also found in previous studies. A second quite surprising finding addresses the large lateral ventral PDF-neurons (l-LNvs). We could show that the four hardly distinguishable l-LNvs consist of two subgroups with different innervation patterns. While three of the neurons reflect the well-known branching pattern reproduced by PDF immunohistochemistry, one neuron per brain hemisphere has a distinguished innervation profile and is restricted only to the proximal part of the medulla-surface. We named this neuron “extra” l-LNv (l-LNvx). We suggest the anatomical findings reflect different functional properties of the two l-LNv subgroups.
KW  - circadian clock neurons
KW  - Drosophila melanogaster
KW  - flybow
KW  - morphology
KW  - RRID: AB_760350
KW  - RRID: AB_2315460
KW  - RRID: AB_2314242
KW  - RRID: AB_2315311
KW  - RRID: AB_2314041
KW  - RRID: AB_300798
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-234477
VL  - 526
ER  - 
TY  - JOUR
A1  - Flunkert, Julia
A1  - Maierhofer, Anna
A1  - Dittrich, Marcus
A1  - Müller, Tobias
A1  - Horvath, Steve
A1  - Nanda, Indrajit
A1  - Haaf, Thomas
T1  - Genetic and epigenetic changes in clonal descendants of irradiated human fibroblasts
JF  - Experimental Cell Research
N2  - To study delayed genetic and epigenetic radiation effects, which may trigger radiation-induced carcinogenesis, we have established single-cell clones from irradiated and non-irradiated primary human fibroblasts. Stable clones were endowed with the same karyotype in all analyzed metaphases after 20 population doublings (PDs), whereas unstable clones displayed mosaics of normal and abnormal karyotypes. To account for variation in radiation sensitivity, all experiments were performed with two different fibroblast strains. After a single X-ray dose of 2 Gy more than half of the irradiated clones exhibited radiation-induced genome instability (RIGI). Irradiated clones displayed an increased rate of loss of chromosome Y (LOY) and copy number variations (CNVs), compared to controls. CNV breakpoints clustered in specific chromosome regions, in particular 3p14.2 and 7q11.21, coinciding with common fragile sites. CNVs affecting the FHIT gene in FRA3B were observed in independent unstable clones and may drive RIGI. Bisulfite pyrosequencing of control clones and the respective primary culture revealed global hypomethylation of ALU, LINE-1, and alpha-satellite repeats as well as rDNA hypermethylation during in vitro ageing. Irradiated clones showed further reduced ALU and alpha-satellite methylation and increased rDNA methylation, compared to controls. Methylation arrays identified several hundred differentially methylated genes and several enriched pathways associated with in vitro ageing. Methylation changes in 259 genes and the MAP kinase signaling pathway were associated with delayed radiation effects (after 20 PDs). Collectively, our results suggest that both genetic (LOY and CNVs) and epigenetic changes occur in the progeny of exposed cells that were not damaged directly by irradiation, likely contributing to radiation-induced carcinogenesis. We did not observe epigenetic differences between stable and unstable irradiated clones. The fact that the DNA methylation (DNAm) age of clones derived from the same primary culture varied greatly suggests that DNAm age of a single cell (represented by a clone) can be quite different from the DNAm age of a tissue. We propose that DNAm age reflects the emergent property of a large number of individual cells whose respective DNAm ages can be highly variable.
KW  - copy number variation (CNV)
KW  - delayed radiation effects
KW  - DNA methylation (DNAm) age
KW  - global DNA methylation
KW  - loss of chromosome Y (LOY);
KW  - methylation array analysis
KW  - radiation-induced genome instability (RIGI)
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228177
VL  - 370
ER  - 
TY  - JOUR
A1  - Göttlich, Claudia
A1  - Kunz, Meik
A1  - Zapp, Cornelia
A1  - Nietzer, Sarah L.
A1  - Walles, Heike
A1  - Dandekar, Thomas
A1  - Dandekar, Gudrun
T1  - A combined tissue-engineered/in silico signature tool patient stratification in lung cancer
JF  - Molecular Oncology
N2  - Patient-tailored therapy based on tumor drivers is promising for lung cancer treatment. For this, we combined in vitro tissue models with in silico analyses. Using individual cell lines with specific mutations, we demonstrate a generic and rapid stratification pipeline for targeted tumor therapy. We improve in vitro models of tissue conditions by a biological matrix-based three-dimensional (3D) tissue culture that allows in vitro drug testing: It correctly shows a strong drug response upon gefitinib (Gef) treatment in a cell line harboring an EGFR-activating mutation (HCC827), but no clear drug response upon treatment with the HSP90 inhibitor 17AAG in two cell lines with KRAS mutations (H441, A549). In contrast, 2D testing implies wrongly KRAS as a biomarker for HSP90 inhibitor treatment, although this fails in clinical studies. Signaling analysis by phospho-arrays showed similar effects of EGFR inhibition by Gef in HCC827 cells, under both 2D and 3D conditions. Western blot analysis confirmed that for 3D conditions, HSP90 inhibitor treatment implies different p53 regulation and decreased MET inhibition in HCC827 and H441 cells. Using in vitro data (western, phospho-kinase array, proliferation, and apoptosis), we generated cell line-specific in silico topologies and condition-specific (2D, 3D) simulations of signaling correctly mirroring in vitro treatment responses. Networks predict drug targets considering key interactions and individual cell line mutations using the Human Protein Reference Database and the COSMIC database. A signature of potential biomarkers and matching drugs improve stratification and treatment in KRAS-mutated tumors. In silico screening and dynamic simulation of drug actions resulted in individual therapeutic suggestions, that is, targeting HIF1A in H441 and LKB1 in A549 cells. In conclusion, our in vitro tumor tissue model combined with an in silico tool improves drug effect prediction and patient stratification. Our tool is used in our comprehensive cancer center and is made now publicly available for targeted therapy decisions.
KW  - 3D lung tumor model
KW  - Boolean signaling network
KW  - chemoresistance
KW  - HSP90 inhibitor
KW  - insilico drug screening too
KW  - KRAS mutation signature
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-233137
VL  - 12
ER  -