Dr Bettina Berger
After a degree in biotechnology and a PhD in molecular biology of plants, I used a two-year fellowship to focus on the emerging field of plant phenomics. I joined the Australian Centre for Plant Functional Genomics in 2008, where I used non-destructive imaging to study the effects of salinity on barley.
When The Plant Accelerator opened in 2010, I joined the team as Senior Scientist and became Scientific Director in 2015. The Plant Accelerator is one of the nodes of the Australian Plant Phenomics Facility (APPF) funded under the National Collaborative Infrastructure Strategy (NCRIS) and provides critical infrastructure and services to the plant science community in Australia and abroad. In my roles, I have set up novel screening techniques to study plant growth and performance using automated, non-destructive imaging. I have engaged with researchers at all stages of their career, from the public sector and industry. Users of The Plant Accelerator include Australian researchers, as well as overseas customers from Europe, North America and Saudi Arabia, and I enjoy the possibility of hosting visiting students and scientists and train them in modern phenotyping approaches. I have managed large scale phenotyping projects looking at various aspects of crop performance, including early vigour, salinity tolerance and nutrient use efficiency.
While my basic research has focused on salinity tolerance, I am equally passionate about developing novel phenotyping approaches to support plant scientists in answering their research questions. Working together with customers and learning from each other to achieve the best possible outcome for their research project has been my biggest motivation.
|2015||Scientific Director||The University of Adelaide|
|2010 - 2015||Senior Scientist||The University of Adelaide|
|2008 - 2010||Feodor-Lynen Research Fellow||ACPFG, University of Adelaide|
|2007 - 2008||Research Assistant||University of Cologne|
|English||Can read, write, speak, understand spoken and peer review|
|French||Can read, write, speak and understand spoken|
|German||Can read, write, speak, understand spoken and peer review|
|2003 - 2007||International Max-Planck Research School, Cologne||Germany||PhD in Plant Science|
|2000 - 2003||Ecole Superieure de Biotechnology, Strasbourg||France||Master in Biotechnology|
|1998 - 2000||Eberhardt-Karls University, Tuebingen||Germany||Undergraduate Diploma in Biology|
|2017||Tilbrook, J., Schilling, R., Berger, B., Garcia, A., Trittermann, C., Coventry, S. ... Roy, S. (2017). Variation in shoot tolerance mechanisms not related to ion toxicity in barley. Functional Plant Biology, 44, 12, 1194-1206.
|2017||Atieno, J., Li, Y., Langridge, P., Dowling, K., Brien, C., Berger, B. ... Sutton, T. (2017). Exploring genetic variation for salinity tolerance in chickpea using image-based phenotyping. Scientific Reports, 7, 1, -.
|2017||Campbell, M., Du, Q., Liu, K., Brien, C., Berger, B., Zhang, C. & Walia, H. (2017). A comprehensive image-based phenomic analysis reveals the complex genetic architecture of shoot growth dynamics in rice (Oryza sativa). Plant Genome, 10, 2, 1-14.
|2017||Qiongyan, L., Cai, J., Berger, B., Okamoto, M. & Miklavcic, S. (2017). Detecting spikes of wheat plants using neural networks with Laws texture energy. Plant Methods, 13, 1, -.
|2017||Meng, R., Saade, S., Kurtek, S., Berger, B., Brien, C., Pillen, K. ... Sun, Y. (2017). Growth curve registration for evaluating salinity tolerance in barley. Plant Methods, 13, 1, 1-9.
|2016||Al-Tamimi, N., Brien, C., Oakey, H., Berger, B., Saade, S., Ho, Y. ... Negrão, S. (2016). Salinity tolerance loci revealed in rice using high-throughput non-invasive phenotyping. Nature Communications, 7, 13342-1-13342-11.
|2015||Schmöckel, S., Garcia, A., Berger, B., Tester, M., Webb, A. & Roy, S. (2015). Different NaCl-induced calcium signatures in the arabidopsis thaliana ecotypes Col-0 and C24. G. Pandey (Ed.). PLoS One, 10, 2, e0117564-1-e0117564-9.
|2015||Neilson, E., Edwards, A., Blomstedt, C., Berger, B., Møller, B. & Gleadow, R. (2015). Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C₄ cereal crop plant to nitrogen and water deficiency over time. Journal of Experimental Botany, 66, 7, 1817-1832.
|2015||Takahashi, F., Tilbrook, J., Trittermann, C., Berger, B., Roy, S., Seki, M. ... Tester, M. (2015). Comparison of leaf sheath transcriptome profiles with physiological traits of bread wheat cultivars under salinity stress. G. Yang (Ed.). PLoS One, 10, 8, e0133322-1-e0133322-23.
|2015||Campbell, M., Knecht, A., Berger, B., Brien, C., Wang, D. & Walia, H. (2015). Integrating image-based phenomics and association analysis to dissect the genetic architecture of temporal salinity responses in rice. Plant Physiology, 168, 4, 1476-1489.
|2015||Parent, B., Shahinnia, F., Maphosa, L., Berger, B., Rabie, H., Chalmers, K. ... Fleury, D. (2015). Combining field performance with controlled environment plant imaging to identify the genetic control of growth and transpiration underlying yield response to water-deficit stress in wheat. Journal of Experimental Botany, 66, 18, 5481-5492.
|2014||Honsdorf, N., March, T., Berger, B., Tester, M. & Pillen, K. (2014). High-throughput phenotyping to detect drought tolerance QTL in wild barley introgression lines. T. Zhang (Ed.). PLoS One, 9, 5, e97047-1-e97047-13.
|2014||Frerigmann, H., Berger, B. & Gigolashvili, T. (2014). bHLH05 is an interaction partner of MYB51 and a novel regulator of glucosinolate biosynthesis in arabidopsis. Plant Physiology, 166, 1, 349-369.
|2014||Schilling, R., Marschner, P., Shavrukov, Y., Berger, B., Tester, M., Roy, S. & Plett, D. (2014). Expression of the Arabidopsis vacuolar H⁺-pyrophosphatase gene (AVP1) improves the shoot biomass of transgenic barley and increases grain yield in a saline field. Plant Biotechnology Journal, 12, 3, 378-386.
|2014||Hairmansis, A., Berger, B., Tester, M. & Roy, S. (2014). Image-based phenotyping for non-destructive screening of different salinity tolerance traits in rice. Rice, 7, 1, 16-1-16-10.
|2013||Hayes, J., Pallotta, M., Baumann, U., Berger, B., Langridge, P. & Sutton, T. (2013). Germanium as a tool to dissect boron toxicity effects in barley and wheat. Functional Plant Biology, 40, 6, 618-627.
|2013||Brien, C., Berger, B., Rabie, H. & Tester, M. (2013). Accounting for variation in designing greenhouse experiments with special reference to greenhouses containing plants on conveyor systems. Plant Methods, 9, 1, 1-22.
|2011||golzarian, M., Frick, R., Rajendran, K., Berger, B., Roy, S., Tester, M. & Lun, D. (2011). Accurate inference of shoot biomass from high-throughput images of cereal plants. Plant Methods, 7, 2, 1-11.
|2010||Berger, B., Parent, B. & Tester, M. (2010). High-throughput shoot imaging to study drought responses. Journal of Experimental Botany, 61, 13, 3519-3528.
|2009||Gigolashvili, T., Berger, B. & Flugge, U. (2009). Specific and coordinated control of indolic and aliphatic glucosinolate biosynthesis by R2R3-MYB transcription factors in Arabidopsis thaliana. Phytochemistry Reviews: fundamentals and perspectives of natural products research, 8, 1, 3-13.
|2008||Roy, S., Gilliham, M., Berger, B., Essah, P., Cheffings, C., Miller, A. ... Tester, M. (2008). Investigating glutamate receptor-like gene co-expression in Arabidopsis thaliana. Plant Cell and Environment, 31, 6, 861-871.
|2007||Gigolashvili, T., Berger, B., Mock, H., Muller, C., Weisshaar, B. & Flugge, U. (2007). The transcription factor HIG1/MYB51 regulates indolic glucosinolate biosynthesis in Arabidopsis thaliana. Plant Journal, 50, 5, 886-901.
|2007||Berger, B., Stracke, R., Yatusevich, R., Weisshaar, B., Flugge, U. & Gigolashvili, T. (2007). A simplified method for the analysis of transcription factor-promoter interactions that allows high-throughput data generation. Plant Journal, 50, 5, 911-916.
|2007||Gigolashvili, T., Yatusevich, R., Berger, B., Muller, C. & Flugge, U. (2007). The R2R3-MYB transcription factor HAG1/MYB28 is a regulator of methionine-derived glucosinolate biosynthesis in Arabidopsis thaliana. Plant Journal, 51, 2, 247-261.
|2013||Berger, B., de Regt, B. & Tester, M. (2013). Applications of high-throughput plant phenotyping to study nutrient use efficiency. In F. Maathuis (Ed.), Plant mineral nutrients: methods in molecular biology (pp. 277-290). Online: Humana Press.
|2012||Berger, B., de Regt, S. & Tester, M. (2012). Trait dissection of salinity tolerance with plant phenomics. In S. Shabala & T. Cuin (Eds.), Plant Salt Tolerance: Methods and Protocols (pp. 399-413). USA: Humana Press.
|2012||Berger, B., de Regt, S. & Tester, M. (2012). High-throughput phenotyping of plant shoots. In J. Normanly (Ed.), High-Throughput Phenotyping in Plants: Methods and Protocols (pp. 9-20). USA: Springer.
|2010||Plett, D., Berger, B. & Tester, M. (2010). Genetic determinants of salinity tolerance in crop plants. In M. Jenks & A. Wood (Eds.), Genes for Plant Abiotic Stress (pp. 83-111). USA: Blackwell Publishers Inc.
|2009||Plett, D., Berger, B. & Tester, M. (2009). Genetic Determinants of Salinity Tolerance in Crop Plants. In Genes for Plant Abiotic Stress (pp. 81-111).
|2015||Ward, B., Bastian, J., Van Den Hengel, A., Pooley, D., Bari, R., Berger, B. & Tester, M. (2015). A model-based approach to recovering the structure of a plant from images. 13th European Conference on Computer Vision (ECCV). L. Agapito, M. Bronstein & C. Rother (Eds.) Zurich, SWITZERLAND.
|2014||Qiongyan, L., Cai, J., Berger, B. & Miklavcic, S. (2014). Study on spike detection of cereal plants. 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV 2014). Singapore, Singapore.
|2016||Konate, M., Wilkinson, M. J., Scott, E., Mayne, B., Berger, B. & Rodriguez Lopez, C. M. (2016). Tissue specificity of salinity stress induced DNA methylation markers in barley (Hordeum vulgare). ComBio 2016. Brisbane.|
|2015 - ongoing||Chair - Expert Working Group - Wheat Phenotyping to Support Wheat Improvement||Wheat Initative|