TY  - JOUR
A1  - Chipman, Ariel D.
A1  - Ferrier, David E. K.
A1  - Brena, Carlo
A1  - Qu, Jiaxin
A1  - Hughes, Daniel S. T.
A1  - Schroeder, Reinhard
A1  - Torres-Oliva, Montserrat
A1  - Znassi, Nadia
A1  - Jiang, Huaiyang
A1  - Almeida, Francisca C.
A1  - Alonso, Claudio R.
A1  - Apostolou, Zivkos
A1  - Aqrawi, Peshtewani
A1  - Arthur, Wallace
A1  - Barna, Jennifer C. J.
A1  - Blankenburg, Kerstin P.
A1  - Brites, Daniela
A1  - Capella-Gutierrez, Salvador
A1  - Coyle, Marcus
A1  - Dearden, Peter K.
A1  - Du Pasquier, Louis
A1  - Duncan, Elizabeth J.
A1  - Ebert, Dieter
A1  - Eibner, Cornelius
A1  - Erikson, Galina
A1  - Evans, Peter D.
A1  - Extavour, Cassandra G.
A1  - Francisco, Liezl
A1  - Gabaldon, Toni
A1  - Gillis, William J.
A1  - Goodwin-Horn, Elizabeth A.
A1  - Green, Jack E.
A1  - Griffiths-Jones, Sam
A1  - Grimmelikhuijzen, Cornelis J. P.
A1  - Gubbala, Sai
A1  - Guigo, Roderic
A1  - Han, Yi
A1  - Hauser, Frank
A1  - Havlak, Paul
A1  - Hayden, Luke
A1  - Helbing, Sophie
A1  - Holder, Michael
A1  - Hui, Jerome H. L.
A1  - Hunn, Julia P.
A1  - Hunnekuhl, Vera S.
A1  - Jackson, LaRonda
A1  - Javaid, Mehwish
A1  - Jhangiani, Shalini N.
A1  - Jiggins, Francis M.
A1  - Jones, Tamsin E.
A1  - Kaiser, Tobias S.
A1  - Kalra, Divya
A1  - Kenny, Nathan J.
A1  - Korchina, Viktoriya
A1  - Kovar, Christie L.
A1  - Kraus, F. Bernhard
A1  - Lapraz, Francois
A1  - Lee, Sandra L.
A1  - Lv, Jie
A1  - Mandapat, Christigale
A1  - Manning, Gerard
A1  - Mariotti, Marco
A1  - Mata, Robert
A1  - Mathew, Tittu
A1  - Neumann, Tobias
A1  - Newsham, Irene
A1  - Ngo, Dinh N.
A1  - Ninova, Maria
A1  - Okwuonu, Geoffrey
A1  - Ongeri, Fiona
A1  - Palmer, William J.
A1  - Patil, Shobha
A1  - Patraquim, Pedro
A1  - Pham, Christopher
A1  - Pu, Ling-Ling
A1  - Putman, Nicholas H.
A1  - Rabouille, Catherine
A1  - Ramos, Olivia Mendivil
A1  - Rhodes, Adelaide C.
A1  - Robertson, Helen E.
A1  - Robertson, Hugh M.
A1  - Ronshaugen, Matthew
A1  - Rozas, Julio
A1  - Saada, Nehad
A1  - Sanchez-Gracia, Alejandro
A1  - Scherer, Steven E.
A1  - Schurko, Andrew M.
A1  - Siggens, Kenneth W.
A1  - Simmons, DeNard
A1  - Stief, Anna
A1  - Stolle, Eckart
A1  - Telford, Maximilian J.
A1  - Tessmar-Raible, Kristin
A1  - Thornton, Rebecca
A1  - van der Zee, Maurijn
A1  - von Haeseler, Arndt
A1  - Williams, James M.
A1  - Willis, Judith H.
A1  - Wu, Yuanqing
A1  - Zou, Xiaoyan
A1  - Lawson, Daniel
A1  - Muzny, Donna M.
A1  - Worley, Kim C.
A1  - Gibbs, Richard A.
A1  - Akam, Michael
A1  - Richards, Stephen
T1  - The first myriapod genome sequence reveals conservative arthropod gene content and genome organisation in the centipede Strigamia maritima
JF  - PLoS biology
N2  - 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.
Y1  - 2014
U6  - https://doi.org/10.1371/journal.pbio.1002005
SN  - 1545-7885
VL  - 12
IS  - 11
PB  - PLoS
CY  - San Fransisco
ER  - 
TY  - JOUR
A1  - Schrön, Martin
A1  - Köhli, Markus
A1  - Scheiffele, Lena
A1  - Iwema, Joost
A1  - Bogena, Heye R.
A1  - Lv, Ling
A1  - Martini, Edoardo
A1  - Baroni, Gabriele
A1  - Rosolem, Rafael
A1  - Weimar, Jannis
A1  - Mai, Juliane
A1  - Cuntz, Matthias
A1  - Rebmann, Corinna
A1  - Oswald, Sascha
A1  - Dietrich, Peter
A1  - Schmidt, Ulrich
A1  - Zacharias, Steffen
T1  - Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity
JF  - Hydrology and earth system sciences : HESS
N2  - In the last few years the method of cosmic-ray neutron sensing (CRNS) has gained popularity among hydrologists, physicists, and land-surface modelers. The sensor provides continuous soil moisture data, averaged over several hectares and tens of decimeters in depth. However, the signal still may contain unidentified features of hydrological processes, and many calibration datasets are often required in order to find reliable relations between neutron intensity and water dynamics. Recent insights into environmental neutrons accurately described the spatial sensitivity of the sensor and thus allowed one to quantify the contribution of individual sample locations to the CRNS signal. Consequently, data points of calibration and validation datasets are suggested to be averaged using a more physically based weighting approach. In this work, a revised sensitivity function is used to calculate weighted averages of point data. The function is different from the simple exponential convention by the extraordinary sensitivity to the first few meters around the probe, and by dependencies on air pressure, air humidity, soil moisture, and vegetation. The approach is extensively tested at six distinct monitoring sites: two sites with multiple calibration datasets and four sites with continuous time series datasets. In all cases, the revised averaging method improved the performance of the CRNS products. The revised approach further helped to reveal hidden hydrological processes which otherwise remained unexplained in the data or were lost in the process of overcalibration. The presented weighting approach increases the overall accuracy of CRNS products and will have an impact on all their applications in agriculture, hydrology, and modeling.
Y1  - 2017
U6  - https://doi.org/10.5194/hess-21-5009-2017
SN  - 1027-5606
SN  - 1607-7938
VL  - 21
SP  - 5009
EP  - 5030
PB  - Copernicus
CY  - Göttingen
ER  - 
TY  - GEN
A1  - Schrön, Martin
A1  - Köhli, Markus
A1  - Scheiffele, Lena
A1  - Iwema, Joost
A1  - Bogena, Heye R.
A1  - Lv, Ling
A1  - Martini, Edoardo
A1  - Baroni, Gabriele
A1  - Rosolem, Rafael
A1  - Weimar, Jannis
A1  - Mai, Juliane
A1  - Cuntz, Matthias
A1  - Rebmann, Corinna
A1  - Oswald, Sascha
A1  - Dietrich, Peter
A1  - Schmidt, Ulrich
A1  - Zacharias, Steffen
T1  - Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity
T2  - Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe
N2  - In the last few years the method of cosmic-ray neutron sensing (CRNS) has gained popularity among hydrologists, physicists, and land-surface modelers. The sensor provides continuous soil moisture data, averaged over several hectares and tens of decimeters in depth. However, the signal still may contain unidentified features of hydrological processes, and many calibration datasets are often required in order to find reliable relations between neutron intensity and water dynamics. Recent insights into environmental neutrons accurately described the spatial sensitivity of the sensor and thus allowed one to quantify the contribution of individual sample locations to the CRNS signal. Consequently, data points of calibration and validation datasets are suggested to be averaged using a more physically based weighting approach. In this work, a revised sensitivity function is used to calculate weighted averages of point data. The function is different from the simple exponential convention by the extraordinary sensitivity to the first few meters around the probe, and by dependencies on air pressure, air humidity, soil moisture, and vegetation. The approach is extensively tested at six distinct monitoring sites: two sites with multiple calibration datasets and four sites with continuous time series datasets. In all cases, the revised averaging method improved the performance of the CRNS products. The revised approach further helped to reveal hidden hydrological processes which otherwise remained unexplained in the data or were lost in the process of overcalibration. The presented weighting approach increases the overall accuracy of CRNS products and will have an impact on all their applications in agriculture, hydrology, and modeling.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 636 
KW  - forested headwater catchment
KW  - moisture observing system
KW  - soil-water content
KW  - parameterization methods
KW  - scale
KW  - field
KW  - dynamics
KW  - observatories
KW  - networks
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-419134
IS  - 636
SP  - 5009
EP  - 5030
ER  -