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Keynote Lecture 1｜14 November | 09:30–10:30｜lang. Eng (+Jp?)
Acquisition and utilization of marine big data－time series monitoring data in Mombetsu Hokkaido Japan as an example
Acquisition and utilization of marine big data－time series monitoring data in Mombetsu Hokkaido Japan as an example
Dr. NAGAI Satoshi (Japan Fisheries Research and Education Agency)
In recent 10 years, we have had research projects to evaluate eukaryotic biodiversity utilizing metabarcoding techniques among different marine ecosystems, i.e. sea ice, aquaculture and fish grounds, coral reef, macroalgal seedbed ecosystems from the northernmost to the southernmost area of Japan (from coastal waters to offshore and deep sea). We have collected >5,000 eDNA samples and accumulated the information on bacteria, fungi, microalgae, protists, zooplankton distribution and appearances with various environmental parameters. We believe that this study can enhance our comprehensive understanding of primary productivity and marine micro food webs. These ocean big data will be utilized for short term, mid term, long term predictions in changes of ocean environments. In this presentation, I would like to introduce results of eukaryote metabarcoding carried out in Mombetsu, Hokkaido Japan.
Keynote Lecture 2｜14 November | 10:30–11:30｜lang. Bil
Challenges in understanding biodiversity changes
Challenges in understanding biodiversity changes
Dr. AMANO Tatsuya (University of Queensland)
Today, as the diversity of life on Earth faces a crisis, the science of biodiversity conservation has been contributing to unveiling the magnitude and extent of the ongoing changes in biodiversity. In some cases, the accumulated knowledge has influenced policies and conservation practices to produce successful outcomes, showing how science can provide a breakthrough in our efforts to halt biodiversity loss. In this presentation, I will first talk about my work on quantifying biodiversity changes, namely bird population changes using long-term monitoring data, at local, national and global scales. I will then outline the challenges faced by conservation science in understanding biodiversity changes globally and implementing conservation efforts based on the acquired knowledge. I hope to conclude the talk by discussing potential solutions to these challenges.
Keynote Lecture 3｜14 November | 15:00–16:00｜lang. Bil
Uncovering population information from environmental DNA
Uncovering population information from environmental DNA
Dr. Kristy DEINER (ETH Zurich)
Environmental DNA (eDNA) is now widely used for species detection, but what can be learned about populations from eDNA? I will discuss both the possibilities and limitations for inferring population level information from eDNA by illustrating these aspects through example from my own work. Using detection methods for eDNA of single species and through use of high throughput sequencing of eDNA from Lake Tanganyika to the Alps of Switzerland, I will show we can detect population level information. The relevance and accuracy of this information suffers from even greater false negative rates compared with using eDNA for species detection. However, many of these challenges are likely to be overcome with continued method development and advances in long read sequencing technology.
Keynote Lecture 4｜15 November | 10:30–11:30 ｜lang. Eng
Does informatics of microbiomes revolutionize agriculture?
Does informatics of microbiomes revolutionize agriculture?
Dr. TOJU Hirokazu (Kyoto University)
In an era of ecosystem degradation and climate change, maximizing microbial functions in natural and agricultural ecosystems has become a prerequisite for the future of humanity. However, managing species-rich communities of plant-associated microbiomes remains a major challenge. Informatics now allows us to identify members and characteristics of “core microbiomes”, which may be deployed to organize otherwise uncontrollable dynamics of resident microbiomes. After the emergence of high-throughput DNA sequencers, my colleagues and I have uncovered root microbiome structures of hundreds of plants species across various types of ecosystems. We then found that diverse taxonomic groups of endophytic fungi ubiquitously interacted with plant communities, potentially playing crucial, but often overlooked, roles at the ecosystem level. Based on the patterns found in microbe-plant and microbe-microbe networks, we have begun to design optimal core microbiomes for managing agroecosystems with high resource-efficiency and stress-resistance. I will discuss how interdisciplinary research will advance our ability for managing sustainable agroecosystems and that for restoring degraded ecosystems.
Keynote Lecture 5｜15 November | 15:00–16:00｜lang. Bil
Big data and beyond: 2D-omic analysis for interpretation
Big data and beyond: 2D-omic analysis for interpretation
Dr. IWASAKI Wataru (University of Tokyo)
Recent technological innovations, such as eDNA analysis techniques, are bringing large-scale, high-resolution big data to ecology. Here the next questions should be what to do with and how to interpret such big data. In this talk, I will introduce our "2D-omics analyses" as methods to interpret big data in ecology.
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