Yamasaki Laboratory, Crop Science Laboratory, Faculty of Agriculture, Niigata
University
業績
原著論文
Yoshida H., S. Okada, F. Wang, S. Shiota, M. Mori, M. Kawamura, X. Zhao, Y. Wang, N. Nishigaki, A. Kobayashi, K. Miura, S. Yoshida, M. Ikegami, A. Ito, L.-T. Huang, Y.-I. Caroline Hsing, Y. Yamagata, Y. Morinaka, M. Yamasaki, T. Kotake, E. Yamamoto, J. Sun, K. Hirano and M. Matsuoka (2023) Integrated genome-wide differentiation and association analyses identify causal genes underlying breeding-selected grain quality traits in japonica rice. Molecular Plant 16: 1460-1477.
Maki, H., V. Lynch, D. Ma, M. R. Tuinstra, M. Yamasaki and J. Jin (2023) Comparison of various nitrogen and water dual stress effect for predicting relative water content and nitrogen content in maize plant through hyperspectral imaging. AI 4(3): 692-705.
Fekih, R., Y. Ishimaru, S. Okada, M. Maeda, R. Miyagi, T. Obana, K. Suzuki, M. Inamori, H. Enoki and M. Yamasaki (2023) High-density linkage maps from Japanese rice japonica recombinant inbred lines using genotyping by random amplicon sequencing-direct (GRAS-Di). Plants 12(4): 929.
Chigira, K., M. Yamasaki, S. Adachi, A. J. Nagano and T. Ookawa (2023) Identification of novel quantitative trait loci for culm thickness of rice derived from strong-culm landrace in Japan, Omachi. Rice 16: 4.
Nakano, H., H. Yoshida, S. Yabe, E. Fushimi, R. Tanaka, M. Yamasaki and H. Nakagawa (2022) γ-Oryzanol concentrations in various rice genotypes ripened under different air temperatures. Cereal Chemistry 99: 1362-1372.
Teramoto, S., M. Yamasaki and Y. Uga (2022) Identification of a unique allele in the quantitative trait locus for crown root number in japonica rice from Japan using genome-wide association studies. Breeding Science 72: 222-231.
Hori, K., T. Okunishi, K. Nakamura, K. Iijima, M. Hagimoto, K. Hayakawa, K. Shu, T. Ikka, M. Yamasaki, Y. Takeuchi, S. Koyama, K. Ozawa, T. Tsujii, T. Kayano, T. Ishii, T. Kumamaru, Y. Kawagoe and T. Yamamoto (2022) Genetic background conceals improvements of rice flour characteristics, food processing properties, grain components and transcriptions by PDIL1-1 seed-strong storage protein mutation. Rice 15: 13.
Yabe, S., H. Yoshida, E. Fushimi, M. Yamasaki, H. Maeda, T. Hayashi and H. Nakagawa (2022) A novel index to evaluate stability of resource allocation pattern in panicles in Japanese rice cultivars. Plant Production Science 25: 195-210.
Kitony, J. K., H. Sunohara, M. Tasaki, J. Mori, A. Shimizu, V. P. Reyes, H. Yasui, Y. Yamagata, A. Yoshimura, M. Yamasaki, S. Nishiuchi and K. Doi (2021) Development of an aus-derived nested association mapping (aus-NAM) population in Rice. Plants 10 (6): 1255.
Chen, T., T. Aoike, M. Yamasaki, H. Kajiya-Kanegae, and H. Iwata (2020) Predicting rice heading date using an integrated approach combining a machine learning method and a crop growth model. Frontiers in Genetics 11: 599510.
Chigira, K., N. Kojima, M. Yamasaki, K. Yano, S. Adachi, T. Nomura, M. Jiang, K. Katsura and T. Ookawa (2020) Landraces of temperate japonica rice have superior alleles for improving culm length associated with lodging resistance. Scientific Reports 10: 19855.
Okada, S., K. Iijima, K. Hori and M. Yamasaki (2020) Genetics and epistatic effects for grain quality and yield of three grain-size QTLs identified in brewing rice (Oryza sativa L.). Molecular Breeding 40: 88.
Jarquin, D., H. Kajiya-Kanegae, T. Chen, S. Yabe, R. Persa, J. Yu, H. Nakagawa, M. Yamasaki and H. Iwata (2020) Coupling day length data and genomic prediction tools for predicting time-related traits under complex scenarios. Scientific Reports 10: 13382.
Toda, Y., H. Wakatsuki, T. Aoike, H. Kajiya-Kanegae, M. Yamasaki, T. Yoshioka, K. Ebana, T. Hayashi, H. Nakagawa, T. Hasegawa and H. Iwata (2020) Predicting biomass of rice with intermediate traits: modelling method combining crop growth models and genomic prediction models. Plos One 15 (6): e0233951.
Hamazaki, K., H. Kajiya-Kanegae, M. Yamasaki, K. Ebana, S. Yabe, H. Nakagawa and H. Iwata (2020) Choosing the optimal population for a genome-wide association study: a simulation using whole-genome sequences from rice. Plant Genome 13: e20005.
Habe, I., K. Miyatake, T. Nunome, M. Yamasaki and T. Hayashi (2019) QTL analysis of resistance to bacterial wilt caused by Ralstonia solanacearum in potato. Breeding Science 69: 592-600.
Kajiya-Kanegae, H., S. Yabe, H. Yoshida, K. Ebana, M. Yamasaki, H. Nakagawa and H. Iwata (2019) Whole genome sequencing of Oryza sativa L. cv. Takanari. Data in Brief 27: 104546.
Okada, S. and M. Yamasaki (2019) Validation of a quantitative trait locus for the white-core expression rate of grain on chromosome 6 in a brewing rice cultivar and development of DNA markers for marker-assisted selection. Breeding Science 69: 401-409.
Taguchi, K., Y. Kuroda, K. Okazaki and M. Yamasaki (2019) Genetic and phenotypic assessment of sugar beet (Beta vulgaris L. subsp. vulgaris) elite inbred lines selected in Japan during the past 50 years. Breeding Science 69: 255-265.
Yabe, S., H. Yoshida, H. Kajiya-Kanegae, M. Yamasaki, H. Iwata, K. Ebana, T. Hayashi and H. Nakagawa (2018) Description of grain weight distribution leading to genomic selection for grain-filling characteristics in rice. PLOS One 13 (11): e0207627.
Okada, S., M. Sasaki and M. Yamasaki (2018) A novel rice QTL qOPW11 associated with panicle weight affects panicle and plant architecture. Rice 11: 53.
Kuroha, T., K. Nagai, R. Gamuyao, D. R. Wang, T. Furuta, M. Nakamori, T. Kitaoka, K. Adachi, A. Minami, Y. Mori, K. Mashiguchi, Y. Seto, S. Yamaguchi, M. Kojima, H. Sakakibara, J. Wu, K. Ebana, N. Mitsuda, M. Ohme-Takagi, S. Yanagisawa, M. Yamasaki, R. Yokoyama, K. Nishitani, T. Mochizuki, G. Tamiya, S. R. McCouch and M. Ashikari (2018) Ethylene-Gibberellin signaling underlies adaptation of rice to periodic flooding. Science 361: 181-186.
Li H., S. Tsuchimoto, K. Harada, M. Yamasaki, H. Sakai, N. Wada, A. Alipour, T. Sasai, A. Tsunekawa, H. Tsujimoto, T. Ando, H. Tomemori, S. Sato, H. Hirakawa, V. Pecina-Quintero, A. Zamarripa and K. Fukui (2018) Association studies of seed-yield related traits for Jatropha curcas L. in Mexico. Tropical Agriculture and Development 62: 68-77.
Okada, S., A. Onogi, K. Iijima, K. Hori, H. Iwata, W. Yokoyama, M. Suehiro and M. Yamasaki (2018) Identification of QTLs for rice grain size using a novel set of chromosomal segment substitution lines derived from Yamadanishiki in the genetic background of Koshihikari. Breeding Science 68: 210-218.
Okada, S., M. Suehiro, K. Ebana, K. Hori, A. Onogi, H. Iwata and M. Yamasaki (2017) Genetic dissection of grain traits in Yamadanishiki, an excellent sake-brewing rice cultivar. Theoretical and Applied Genetics 130: 2567-2585.
Li, H., S. Tsuchimoto, K. Harada, M. Yamasaki, H. Sakai, N. Wada, A. Alipour, T. Sasai, A. Tsunekawa, H. Tsujimoto, T. Ando, H. Tomemori, S. Sato, H. Hirakawa, V. P. Quintero, A. Zamarripa, P. Santos, A. Hegazy, A. M. Ali and K. Fukui (2017) Genetic tracing of Jatropha curcas L. from its Mesoamerican origin to the world. Frontiers in Plant Science 8: 1539. https://doi.org/10.3389/fpls.2017.01539
Teramura, H., K. Sasaki, H. Kawaguchi, F. Matsuda, J. Kikuchi, T. Shirai, T. Sazuka, M. Yamasaki, S. Takumi, C. Ogino and A. Kondo (2017) Differences in glucose yield of residues from among varieties of rice, wheat, and sorghum after dilute acid pretreatment. Bioscience, Biotechnology, and Biochemistry 81: 1650-1656.
Yano, K., E. Yamamoto, K. Aya, H. Takeuchi, P. Lo, L. Hu, M. Yamasaki, S. Yoshida, H. Kitano, K. Hirano, and M. Matsuoka (2016) Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice. Nature Genetics 48: 927-934.
Yabe, S., M. Yamasaki, K. Ebana, T. Hayashi and H. Iwata (2016) Island-model genomic selection for long-term genetic improvement of autogamous crops. PLOS One 11 (4): e0153945.
Goda, T., H. Teramura, M. Suehiro, K. Kanamaru, H. Kawaguchi, C. Ogino, A. Kondo, M. Yamasaki (2016) Natural variation in the glucose content of dilute sulfuric acid-pretreated rice straw liquid hydrolysates: implications for bioethanol production. Bioscience, Biotechnology, and Biochemistry 80: 863-869.
Onogi, A., O. Ideta, T. Yoshioka, K. Ebana, M. Yamasaki, H. Iwata (2016) Uncovering a nuisance influence of phenological traits using a nonlinear structural equation: application to days to heading and culm length in Asian cultivated rice (Oryza sativa L.). Plos One 11 (2): e0148609.
Taguchi-Shiobara, F., T. Ota, K. Ebana, T. Ookawa, M. Yamasaki, T. Tanabata, U. Yamanouchi, J. Wu, N. Ono, Y. Nonoue, K. Nagata, S. Fukuoka, H. Hirabayashi, T. Yamamoto, M. Yano (2015) Natural variation in the flag leaf morphology of rice due to a mutation of the NARROW LEAF 1 gene in Oryza sativa L. Genetics 201: 795-808.
Teramura, H., K. Sasaki, K. Oshima, S. Aikawa, F. Matsuda, M. Okamoto, T. Shirai, H. Kawaguchi, C. Ogino, M. Yamasaki, J. Kikuchi, A. Kondo (2015) Changes in lignin and polysaccharide components in 13 cultivars of rice straw following dilute acid pretreatment as studied by solution-state 2D 1H-13C NMR. PLOS One 10 (6): e0128417.
Song, X. J., T. Kuroha, M. Ayano, T. Furuta, K. Nagai, N. Komeda, S. Segami, K. Miura, D. Ogawa, T. Kamura, T. Suzuki, T. Higashiyama, M. Yamasaki, H. Mori, Y. Inukai, J. Wu, H. Kitano, H. Sakakibara, S. E. Jacobsen, M. Ashikari (2015) Rare allele of a novel histone H4 acetyltransferase enhances grain weight, yield and plant biomass in rice. Proceedings of the National Academy of Sciences of the United States of America 112: 76-81.
Onogi, A., O. Ideta, Y. Inoshita, K. Ebana, T. Yoshioka, M. Yamasaki, H. Iwata (2015) Exploring the areas of applicability of whole-genome prediction methods for Asian rice (Oryza sativa L.). Theoretical Applied Genetics 128: 41-53.
Teramura, H., T. Oshima, F. Matsuda, K. Sasaki, C. Ogino, M. Yamasaki, A. Kondo (2013) Glucose content in the liquid hydrolysate after dilute acid pretreatment is affected by the starch content in rice straw. Bioresource Technology 149: 520-524.
Yamaki, S., H. Ohyanagi, M. Yamasaki, M. Eiguchi, T. Miyabayashi, T. Kubo, N. Kurata and K.-I. Nonomura (2013) Development of INDEL markers to discriminate all genome types rapidly in the genus Oryza. Breeding Science 63: 246-254.
Yamasaki M. and O. Ideta (2013) Population structure in Japanese rice population. Breeding Science 63: 49-57. （平成２５年度日本育種学会論文賞受賞）
Ishii, T., K. Numaguchi, K. Miura, K. Yoshida, P. T. Thanh, T. M. Htun, M. Yamasaki, N. Komeda, T. Matsumoto, R. Terauchi, R. Ishikawa and M. Ashikari (2013) OsLG1 regulates a closed panicle trait in domesticated rice. Nature Genetics 45: 462-465.
Hirota, T., T. Sayama, M. Yamasaki, H. Sasama, T. Sugimoto, M. Ishimoto and S. Yoshida (2011) Diversity and population structure of black soybean landraces originating from Tanba and neighboring regions. Breeding Science 61: 593-601.
Asano, K*., M. Yamasaki*, S. Takuno, K. Miura, S. Katagiri, T. Ito, K. Doi, J. Wu, K. Ebana, T. Matsumoto, H. Innan, H. Kitano, M. Ashikari and M. Matsuoka (2011) Artificial selection for a green revolution gene during japonica rice domestication. Proceedings of the National Academy of Sciences of the United States of America 108: 11034-11039. (*: equally contributed)
Matsuda, F., M. Yamasaki, T. Hasunuma, T. Ogino and A. Kondo (2011) Variation in biomass property among rice diverse cultivars. Bioscience, Biotechnology, and Biochemistry 75: 1603-1605.
Ishikawa, R., P. T. Thanh, N. Nimura, T. M. Htun, M. Yamasaki and T. Ishii (2010) Allelic interaction at seed-shattering loci in the genetic backgrounds of wild and cultivated rice species. Genes & Genetic Systems 85: 265-271.
Shimoi, S., K. Inoue, H. Kitagawa, M. Yamasaki, S. Tsushima, P. Park and K. Ikeda (2010) Biological control for rice blast disease by employing detachment action with gelatinolytic bacteria. Biological Control 55: 85-91.
Mizuno, N., M. Yamasaki, Y. Matsuoka, T. Kawahara and S. Takumi (2010) Population structure of wild wheat D-genome progenitor Aegilops tauschii Coss.: implications for intraspecific lineage diversification and evolution of common wheat. Molecular Ecology 19: 999-1013.
Yamasaki, M., S. G. Schroeder, H. Sanchez-Villeda, B. S. Gaut and M. D. McMullen (2008) Empirical analysis of selection screens for domestication and improvement loci in maize by extended DNA sequencing. Plant Genome 1: 33-43.
Sanchez-Villeda, H., S. Schroeder, S. Flint-Garcia, K. Guill, M. Yamasaki and M. D. McMullen (2008) DNAAlignEditor: DNA alignment editor tool. BMC Bioinformatics 9: 154.
Yamasaki, M., S. I. Wright and M. D. McMullen (2007) Genomic screening for artificial selection during domestication and improvement in maize. Annals of Botany 100: 967-973.
Yu, J., G. Pressoir, W. H. Briggs, I. Vroh Bi, M. Yamasaki, J. F. Doebley, M. D. McMullen, B. S. Gaut, D. M. Nielsen, J. B. Holland, S. Kresovich and E. S. Buckler (2006) A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nature Genetics 38: 203-208.
Yamasaki, M., M. I. Tenaillon, I. Vroh Bi, S. G. Schroeder, H. Sanchez-Villeda, J. F. Doebley, B. S. Gaut and M. D. McMullen (2005) A large-scale screen for artificial selection in maize identifies candidate agronomic loci for domestication and crop improvement. Plant Cell 17: 2859-2872.
Wright, S. I., I. Vroh Bi, S. G. Schroeder, M. Yamasaki, J. F. Doebley, M. D. McMullen and B. S. Gaut (2005) The effects of artificial selection on the maize genome. Science 308: 1310-1314.
Yamasaki, M., A. Yoshimura and H. Yasui (2003) Genetic basis of ovicidal response to whitebacked planthopper (Sogatella furcifera Horváth) in rice (Oryza sativa L.). Molecular Breeding 12: 133-143.
Yamasaki, M., A. Yoshimura and H. Yasui (2000) Mapping of quantitative trait loci of ovicidal response to brown planthopper (Nilaparvata lugens Stål) in rice (Oryza sativa L.). Breeding Science 50: 291-296.
Yamasaki, M., H. Tsunematsu, A. Yoshimura, N. Iwata and H. Yasui (1999) Quantitative trait locus mapping of ovicidal response in rice (Oryza sativa L.) against whitebacked planthopper (Sogatella furcifera Horváth). Crop Science 39: 1178-1183.
