Sonja Steindl

ORCID: 0009-0007-5354-1950
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About
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Research Areas
  • Phytoplasmas and Hemiptera pathogens
  • Tree Root and Stability Studies
  • Forest ecology and management
  • Hydrology and Sediment Transport Processes
  • Genomics and Phylogenetic Studies
  • Insect behavior and control techniques
  • Environmental DNA in Biodiversity Studies
  • Plant Water Relations and Carbon Dynamics
  • Tree-ring climate responses
  • Genetic diversity and population structure
  • Insect-Plant Interactions and Control
  • Molecular Biology Techniques and Applications
  • Remote Sensing and LiDAR Applications
  • Plant Taxonomy and Phylogenetics
  • Insect symbiosis and bacterial influences
  • Yeasts and Rust Fungi Studies

Natural History Museum Vienna
2024

Gregor Mendel Institute of Molecular Plant Biology
2022-2023

Austrian Academy of Sciences
2022-2023

Abstract Core samples from trees are a critical reservoir of ecological information, informing our understanding past climates, as well contemporary ecosystem responses to global change. Manual measurements annual growth rings in slow, labour‐intensive and subject human bias, hindering the generation big datasets. We present an alternative, neural network‐based implementation that automates detection measurement tree‐ring boundaries coniferous species. trained Mask R‐CNN extensively on over...

10.1111/2041-210x.14183 article EN cc-by Methods in Ecology and Evolution 2023-07-21

We present an implementable neural network-based automated detection and measurement of tree-ring boundaries from coniferous species. trained our Mask R-CNN extensively on over 8,000 manually annotated rings. assessed the performance model core processing pipeline real world data. The CNN performed well, recognizing 99% ring (precision) a recall value 95% when tested Additionally, we have implemented automatic measurements based minimum distance between With minimal editing for missed...

10.1101/2022.01.10.475709 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-01-12
Joaquin C. B. Nunez Marta Coronado‐Zamora Mathieu Gautier Martin Kapun Sonja Steindl and 95 more Lino Ometto Katja M. Hoedjes Julia Beets R. Axel W. Wiberg G. Mazzeo David J. Bass Denys Radionov Iryna Kozeretska Maria Zinchenko O. V. Protsenko Svitlana Serga Cristina Amor‐Jimenez Sònia Casillas Alejandro Sánchez‐Gracia Aleksandra Patenković Amanda Glaser‐Schmitt Antonio Barbadilla Antonio J. Buendía-Ruíz A. Bertelli Balázs Kiss Banu Şebnem Önder Bélen Roldán Matrín Bregje Wertheim Candice Deschamps Carlos Bustos Carlos Tinedo Christian Feller Christian Schlötterer Clancy Lawler Claudia Fricke Cristina P. Vieira Cristina Vieira Darren J. Obbard Dorcas J. Orengo Doris Vela Eduardo Amat Élgion L. S. Loreto Envel Kerdaffrec Esra Durmaz Eva Puerma Fabian Staubach M. Florencia Camus Hervé Colinet Jan Hrček Jesper Givskov Sørensen Jessica K. Abbott Joan Torro John Parsch Jorge Vieira José Olmo Khalid Khfif Krzysztof Wojciechowski Lílian Madi-Ravazzi Maaria Kankare Mads F. Schou Emmanuel D. Ladoukakis Maria Josefa Gómez-Julián Maria Luisa Espinosa-Jimenez María Pilar García Guerreiro Maria-Eleni Parakatselaki Marija Savić Veselinović Marija Savić Veselinović Marina Stamenković‐Radak Margot Paris Marta Pascual Michael G. Ritchie Michaël Rera Mihailo Jelić Mina Ansari Mina Rakić Miriam Merenciano Natalia Hernandes Nazar Gora Nicolas O. Rode Omar Rota‐Stabelli Paulina Sepúlveda Patricia Gibert Pau Carazo Philip Kohlmeier Priscilla A. Erickson Renaud Vitalis Roberto Torres Sara Guirao‐Rico Sebastián E. Ramos‐Onsins Silvia Castillo Tânia F. Paulo Venera Tyukmaeva Zahara Alonso В. Е. Алаторцев E. G. Pasyukova Д. В. Муха Dmitri A. Petrov Paul Schmidt Thomas Flatt Alan O. Bergland

Abstract Large scale genomic resources can place genetic variation into an ecologically informed context. To advance our understanding of the population genetics fruit fly Drosophila melanogaster , we present expanded release community-generated genomics resource Evolution over Space and Time (DEST 2.0; https://dest.bio/ ). This includes 530 high-quality pooled libraries from flies collected across six continents more than a decade (2009-2021), most at multiple time points per year; 211...

10.1101/2024.11.10.622744 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2024-11-11

Abstract The advent of third generation sequencing technology has revolutionized parallelized DNA fragments varying lengths, such as PCR amplicons, which provides unprecedented new opportunities for large-scale and diverse barcoding projects that, example, aim to quantify the accelerating biodiversity crisis. However, broad-scale application these technologies research is often hindered by demand advanced bioinformatics skills carry out quantitative analyses. To facilitate multilocus...

10.1101/2024.12.11.628038 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2024-12-17

Abstract Reduced representation library approaches are still a valuable tool for breeding and population ecological genomics, even with impressive increases in sequencing capacity recent years. Unfortunately, current only allow multiplexing up to 384 samples. To take advantage of increased capacity, we present Multi-GBS, massively multiplexable extension Genotyping-by-Sequencing that is also optimized large conifer genomes. In Norway Spruce, highly repetitive 20Gbp diploid genome high...

10.1101/2022.01.10.475685 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-01-11
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