Mitsuo Nunome

Mitsuo Nunome


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2019 in Molecular Phylogenetics and Evolution
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Journal Article
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GKGohta Kinoshita
Gohta Kinoshita
MNMitsuo Nunome
Mitsuo Nunome
AKAlexey P. Kryukov
Alexey P. Kryukov
IKIrina V. Kartavtseva
Irina V. Kartavtseva
SHSan-Hoon Han
San-Hoon Han
HSHitoshi Suzuki
Hitoshi Suzuki

28 March 2022 in Development
Verified
Journal Article
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KYKoya Yoshihi
Koya Yoshihi
KKKagayaki Kato
Kagayaki Kato
HIHideaki Iida
Hideaki Iida
MTMachiko Teramoto
Machiko Teramoto
AKAkihito Kawamura
Akihito Kawamura
HKHisato Kondoh
Hisato Kondoh
Despite previous intensive investigations on epiblast cell migration in avian embryos during primitive streak development before stage (st.) 4, this migration at later stages of brain development has remained uninvestigated. By live imaging of epiblast cells sparsely labeled with green fluorescence protein, we investigated anterior epiblast cell migration to form individual brain portions. Anterior epiblast cells from a broad area migrated collectively towards the head axis during st. 5-7 at a rate of 70-110 µm/h, changing directions from diagonal to parallel and forming the brain portions and abutting head ectoderm. This analysis revised the previously published head portion precursor map in anterior epiblasts at st. 4/5. Grafting outside the brain precursor region of mCherry-expressing nodes producing anterior mesendoderm (AME) or isolated AME tissues elicited new cell migration towards ectopic AME tissues. These locally convergent cells developed into secondary brains with portions that depended on the ectopic AME position in the anterior epiblast. Thus, anterior epiblast cells are bipotent for brain/head ectoderm development with given brain portion specificities. A brain portion potential map is proposed, also accounting for previous observations.

20 January 2017 in PLOS ONE
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Journal Article
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MNMitsuo Nunome
Mitsuo Nunome
MNMikiharu Nakano
Mikiharu Nakano
RTRyo Tadano
Ryo Tadano
RKRyoka Kawahara-Miki
Ryoka Kawahara-Miki
TKTomohiro Kono
Tomohiro Kono
MYMatsuda Yoichi
Matsuda Yoichi
To assess the genetic diversity of domestic Japanese quail (Coturnix japonica) populations, and their genetic relationships, we examined mitochondrial DNA (mtDNA) D-loop sequences and microsatellite markers for 19 Japanese quail populations. The populations included nine laboratory lines established in Japan (LWC, Quv, RWN, WE, AWE, AMRP, rb-TKP, NIES-L, and W), six meat-type quail lines reimported from Western countries (JD, JW, Estonia, NIES-Br, NIES-Fr, and NIES-Hn), one commercial population in Japan, and three wild quail populations collected from three Asian areas. The phylogenetic tree of mtDNA D-loop sequences revealed two distinct haplotype groups, Dloop-Group1 and Dloop-Group2. Dloop-Group1 included a dominant haplotype representing most of the quail populations, including wild quail. Dloop-Group2 was composed of minor haplotypes found in several laboratory lines, two meat-type lines, and a few individuals in commercial and wild quail populations. Taking the breeding histories of domestic populations into consideration, these results suggest that domestic quail populations may have derived from two sources, i.e., domestic populations established before and after World War II in Japan. A discriminant analysis of principal components and a Bayesian clustering analysis with microsatellite markers indicated that the domestic populations are clustered into four genetic groups. The two major groups were Microsat-Group1, which contained WE, and four WE-derived laboratory lines (LWC, Quv, RWN, and AWE), and Microsat-Group2 consisting of NIES-L, JD, JW, Estonia, NIES-Br, NIES-Fr, NIES-Hn, W, and commercial and wild populations. The remaining two lines (AMRP and rb-TKP) were each clustered into a separate clade. This hierarchical genetic difference between domestic quail populations is attributed to the genetic background derived from two different genetic sources—the pre-war and post-war populations—which is well supported by their breeding histories.

13 March 2014 in Biological Journal of the Linnean Society
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Journal Article
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MNMitsuo Nunome
Mitsuo Nunome
GKGohta Kinoshita
Gohta Kinoshita
MTMorihiko Tomozawa
Morihiko Tomozawa
HTHarumi Torii
Harumi Torii
RMRikyu Matsuki
Rikyu Matsuki
HSHitoshi Suzuki
Hitoshi Suzuki

4 October 2023 in PLOS ONE
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Journal Article
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PWPish Wattanadilokcahtkun
Pish Wattanadilokcahtkun
PCPiangjai Chalermwong
Piangjai Chalermwong
WSWorapong Singchat
Worapong Singchat
WWWongsathit Wongloet
Wongsathit Wongloet
ACAingorn Chaiyes
Aingorn Chaiyes
Kornsorn SrikulnathKornsorn Srikulnath
Kornsorn Srikulnath
Lao Pa Koi (LPK) chicken is a popular fighting breed in Thailand, prized for (its unique characteristics acquired by selective breeding), and a valuable model for exploring the genetic diversity and admixture of red junglefowls and domestic chickens. In this study, genetic structure and diversity of LPK chicken were assessed using 28 microsatellite markers and mitochondrial DNA (mtDNA) D-loop sequences, and the findings were compared to a gene pool library from “The Siam Chicken Bioresource Project”. High genetic variability was observed in LPK chickens using mtDNA D-loop haplotype analysis, and six haplotypes were identified. Microsatellite data revealed 182 alleles, with an average of 6.5 alleles per locus. These results confirmed the occurrence of genetic admixture of red junglefowl and Thai domestic chickens in LPK chicken breed. A maximum entropy modeling approach was used to analyze the spatial suitability and to assess the adaptive evolution of LPK chickens in diverse local environments. The model identified 82.52% of the area studied as unsuitable, and 9.34%, 7.11%, and 2.02% of the area indicated moderate, low, and high suitability, respectively. The highest contribution rate to land suitability for LPK chickens was found at an elevation of 100–250 m, suggesting the importance of elevation for their potential distribution. The results of this study provide valuable insights into the genetic origin of LPK chicken breed and identify resources for future genetic improvement.

9 November 2020 in Animals
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Journal Article
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AHAyano Hata
Ayano Hata
ATAtsushi Takenouchi
Atsushi Takenouchi
KKKeiji Kinoshita
Keiji Kinoshita
MHMomomi Hirokawa
Momomi Hirokawa
TITakeshi Igawa
Takeshi Igawa
MTMasaoki Tsudzuki
Masaoki Tsudzuki
Japanese indigenous chickens have a long breeding history, possibly beginning 2000 years ago. Genetic characterization of Japanese indigenous chickens has been performed using mitochondrial D-loop region and microsatellite DNA markers. Their phylogenetic relationships with chickens worldwide and genetic variation within breeds have not yet been examined. In this study, the genetic characteristics of 38 Japanese indigenous chicken breeds were assessed by phylogenetic analyses of mitochondrial D-loop sequences compared with those of indigenous chicken breeds overseas. To evaluate the genetic relationships among Japanese indigenous chicken breeds, a STRUCTURE analysis was conducted using 27 microsatellite DNA markers. D-loop sequences of Japanese indigenous chickens were classified into five major haplogroups, A–E, among 15 haplogroups found in chickens worldwide. The haplogroup composition suggested that Japanese indigenous chickens originated mainly from China, with some originating from Southeast Asia. The STRUCTURE analyses revealed that Japanese indigenous chickens are genetically differentiated from chickens overseas; Japanese indigenous chicken breeds possess distinctive genetic characteristics, and Jidori breeds, which have been reared in various regions of Japan for a long time, are genetically close to each other. These results provide new insights into the history of chickens around Asia in addition to novel genetic data for the conservation of Japanese indigenous chickens.