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Full text link奈良先端科学技術大学院大学修士（工学）master thesi
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Full text link奈良先端科学技術大学院大学修士（工学）master thesi
Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction
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Full text link奈良先端科学技術大学院大学博士（工学）doctoral thesi
Efficient Annotation and Deformation Prediction for Musculoskeletal Analysis Using Medical Image Datasets
Full text link奈良先端科学技術大学院大学博士（工学）doctoral thesi
Population genomics of Marchantia polymorpha subsp. ruderalis reveals evidence of climate adaptation
No full textSexual reproduction results in the development of haploid and diploid cell states during the life cycle. In bryophytes, the dominant multicellular haploid phase produces motile sperm that swim through water to the egg to effect fertilization from which a relatively small diploid phase develops. In angiosperms, the reduced multicellular haploid phase produces non-motile sperm that is delivered to the egg through a pollen tube to effect fertilization from which the dominant diploid phase develops. These different life cycle characteristics are likely to impact the distribution of genetic variation among populations. However, little is known about the distribution of genetic variation among wild populations of bryophytes. To investigate how genetic variation is distributed among populations of a bryophyte and to establish the foundation for population genetics research in bryophytes, we described the genetic diversity of collections of Marchantia polymorpha subsp. ruderalis, a cosmopolitan ruderal liverwort. We identified 78 genetically unique (non-clonal) from a total of 209 sequenced accessions collected from 37 sites in Europe and Japan. There was no detectable population structure among European populations but significant genetic differentiation between Japanese and European populations. By associating genetic variation across the genome with global climate data, we showed that temperature and precipitation influence the frequency of potentially adaptive alleles. This collection establishes the core of an experimental platform that exploits natural genetic variation to answer diverse questions in biology.journal articl