scispace - formally typeset
Search or ask a question
Author

Takashi Matsumoto

Bio: Takashi Matsumoto is an academic researcher from University of Tsukuba. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 28, co-authored 41 publications receiving 6651 citations. Previous affiliations of Takashi Matsumoto include Japanese Ministry of Agriculture, Forestry and Fisheries & National Agriculture and Food Research Organization.
Topics: Genome, Gene, Genomics, Oryza sativa, Hordeum vulgare

Papers
More filters
Journal ArticleDOI
Klaus F. X. Mayer, Jane Rogers, Jaroslav Doležel1, Curtis J. Pozniak2, Kellye Eversole, Catherine Feuillet3, Bikram S. Gill4, Bernd Friebe4, Adam J. Lukaszewski5, Pierre Sourdille6, Takashi R. Endo7, M. Kubaláková1, Jarmila Číhalíková1, Zdeňka Dubská1, Jan Vrána1, Romana Šperková1, Hana Šimková1, Melanie Febrer8, Leah Clissold, Kirsten McLay, Kuldeep Singh9, Parveen Chhuneja9, Nagendra K. Singh10, Jitendra P. Khurana11, Eduard Akhunov4, Frédéric Choulet6, Adriana Alberti, Valérie Barbe, Patrick Wincker, Hiroyuki Kanamori12, Fuminori Kobayashi12, Takeshi Itoh12, Takashi Matsumoto12, Hiroaki Sakai12, Tsuyoshi Tanaka12, Jianzhong Wu12, Yasunari Ogihara13, Hirokazu Handa12, P. Ron Maclachlan2, Andrew G. Sharpe14, Darrin Klassen14, David Edwards, Jacqueline Batley, Odd-Arne Olsen, Simen Rød Sandve15, Sigbjørn Lien15, Burkhard Steuernagel16, Brande B. H. Wulff16, Mario Caccamo, Sarah Ayling, Ricardo H. Ramirez-Gonzalez, Bernardo J. Clavijo, Jonathan M. Wright, Matthias Pfeifer, Manuel Spannagl, Mihaela Martis, Martin Mascher17, Jarrod Chapman18, Jesse Poland4, Uwe Scholz17, Kerrie Barry18, Robbie Waugh19, Daniel S. Rokhsar18, Gary J. Muehlbauer, Nils Stein17, Heidrun Gundlach, Matthias Zytnicki20, Véronique Jamilloux20, Hadi Quesneville20, Thomas Wicker21, Primetta Faccioli, Moreno Colaiacovo, Antonio Michele Stanca, Hikmet Budak22, Luigi Cattivelli, Natasha Glover6, Lise Pingault6, Etienne Paux6, Sapna Sharma, Rudi Appels23, Matthew I. Bellgard23, Brett Chapman23, Thomas Nussbaumer, Kai Christian Bader, Hélène Rimbert, Shichen Wang4, Ron Knox, Andrzej Kilian, Michael Alaux20, Françoise Alfama20, Loïc Couderc20, Nicolas Guilhot6, Claire Viseux20, Mikaël Loaec20, Beat Keller21, Sébastien Praud 
18 Jul 2014-Science
TL;DR: Insight into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide.
Abstract: An ordered draft sequence of the 17-gigabase hexaploid bread wheat (Triticum aestivum) genome has been produced by sequencing isolated chromosome arms. We have annotated 124,201 gene loci distributed nearly evenly across the homeologous chromosomes and subgenomes. Comparative gene analysis of wheat subgenomes and extant diploid and tetraploid wheat relatives showed that high sequence similarity and structural conservation are retained, with limited gene loss, after polyploidization. However, across the genomes there was evidence of dynamic gene gain, loss, and duplication since the divergence of the wheat lineages. A high degree of transcriptional autonomy and no global dominance was found for the subgenomes. These insights into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide.

1,421 citations

Journal ArticleDOI
29 Nov 2012-Nature
TL;DR: An integrated and ordered physical, genetic and functional sequence resource that describes the barley gene-space in a structured whole-genome context and suggests that post-transcriptional processing forms an important regulatory layer.
Abstract: Barley (Hordeum vulgare L.) is among the world's earliest domesticated and most important crop plants. It is diploid with a large haploid genome of 5.1 gigabases (Gb). Here we present an integrated and ordered physical, genetic and functional sequence resource that describes the barley gene-space in a structured whole-genome context. We developed a physical map of 4.98 Gb, with more than 3.90 Gb anchored to a high-resolution genetic map. Projecting a deep whole-genome shotgun assembly, complementary DNA and deep RNA sequence data onto this framework supports 79,379 transcript clusters, including 26,159 'high-confidence' genes with homology support from other plant genomes. Abundant alternative splicing, premature termination codons and novel transcriptionally active regions suggest that post-transcriptional processing forms an important regulatory layer. Survey sequences from diverse accessions reveal a landscape of extensive single-nucleotide variation. Our data provide a platform for both genome-assisted research and enabling contemporary crop improvement.

1,347 citations

Journal ArticleDOI
TL;DR: It is demonstrated that alteration of root system architecture improves drought avoidance through the cloning and characterization of DEEPER ROOTING 1 (DRO1), a rice quantitative trait locus controlling root growth angle.
Abstract: The genetic improvement of drought resistance is essential for stable and adequate crop production in drought-prone areas. Here we demonstrate that alteration of root system architecture improves drought avoidance through the cloning and characterization of DEEPER ROOTING 1 (DRO1), a rice quantitative trait locus controlling root growth angle. DRO1 is negatively regulated by auxin and is involved in cell elongation in the root tip that causes asymmetric root growth and downward bending of the root in response to gravity. Higher expression of DRO1 increases the root growth angle, whereby roots grow in a more downward direction. Introducing DRO1 into a shallow-rooting rice cultivar by backcrossing enabled the resulting line to avoid drought by increasing deep rooting, which maintained high yield performance under drought conditions relative to the recipient cultivar. Our experiments suggest that control of root system architecture will contribute to drought avoidance in crops.

1,009 citations

Journal ArticleDOI
TL;DR: Phylogenetic analysis demonstrated that the six-rowed phenotype originated repeatedly, at different times and in different regions, through independent mutations of Vrs1.
Abstract: Increased seed production has been a common goal during the domestication of cereal crops, and early cultivators of barley (Hordeum vulgare ssp. vulgare) selected a phenotype with a six-rowed spike that stably produced three times the usual grain number. This improved yield established barley as a founder crop for the Near Eastern Neolithic civilization. The barley spike has one central and two lateral spikelets at each rachis node. The wild-type progenitor (H. vulgare ssp. spontaneum) has a two-rowed phenotype, with additional, strictly rudimentary, lateral rows; this natural adaptation is advantageous for seed dispersal after shattering. Until recently, the origin of the six-rowed phenotype remained unknown. In the present study, we isolated vrs1 (six-rowed spike 1), the gene responsible for the six-rowed spike in barley, by means of positional cloning. The wild-type Vrs1 allele (for two-rowed barley) encodes a transcription factor that includes a homeodomain with a closely linked leucine zipper motif. Expression of Vrs1 was strictly localized in the lateral-spikelet primordia of immature spikes, suggesting that the VRS1 protein suppresses development of the lateral rows. Loss of function of Vrs1 resulted in complete conversion of the rudimentary lateral spikelets in two-rowed barley into fully developed fertile spikelets in the six-rowed phenotype. Phylogenetic analysis demonstrated that the six-rowed phenotype originated repeatedly, at different times and in different regions, through independent mutations of Vrs1.

560 citations

Journal ArticleDOI
Tsuyoshi Tanaka1, Baltazar A. Antonio1, Shoshi Kikuchi1, Takashi Matsumoto1, Yoshiaki Nagamura1, Hisataka Numa1, Hiroaki Sakai1, Jianzhong Wu1, Takeshi Itoh2, Takeshi Itoh1, Takuji Sasaki1, Ryo Aono, Yasuyuki Fujii3, Takuya Habara, Erimi Harada, Masako Kanno, Yoshihiro Kawahara4, Hiroaki Kawashima, Hiromi Kubooka, Akihiro Matsuya, Hajime Nakaoka, Naomi Saichi, Ryoko Sanbonmatsu, Yoshiharu Sato, Yuji Shinso, Mami Suzuki, Jun-ichi Takeda, Motohiko Tanino, Fusano Todokoro, Kaori Yamaguchi, Naoyuki Yamamoto, Chisato Yamasaki, Tadashi Imanishi2, Toshihisa Okido, Masahito Tada, Kazuho Ikeo, Yoshio Tateno, Takashi Gojobori, Yao-Cheng Lin5, Fu Jin Wei5, Yue-Ie C. Hsing5, Qiang Zhao, Bin Han, Melissa Kramer6, Richard W. McCombie6, David Lonsdale7, Claire O'Donovan7, Eleanor J. Whitfield7, Rolf Apweiler7, Kanako O. Koyanagi8, Jitendra P. Khurana9, Saurabh Raghuvanshi9, Nagendra K. Singh10, Akhilesh K. Tyagi9, Georg Haberer, Masaki Fujisawa, Satomi Hosokawa, Yukiyo Ito, Hiroshi Ikawa, Michie Shibata, Mayu Yamamoto, Richard Bruskiewich11, Douglas R. Hoen12, Thomas E. Bureau12, Nobukazu Namiki13, Hajime Ohyanagi13, Yasumichi Sakai13, Satoshi Nobushima13, Katsumi Sakata13, Roberto A. Barrero14, Yutaka Sato15, Alexandre Souvorov16, Brian Smith-White16, Tatiana Tatusova16, Suyoung An17, Gynheung An17, Satoshi Oota, Galina Fuks18, Joachim Messing, Karen R. Christie19, Damien Lieberherr20, Hyeran Kim21, Andrea Zuccolo21, Rod A. Wing, Kan Nobuta22, Pamela J. Green22, Cheng Lu22, Blake C. Meyers22, Cristian Chaparro23, Benoît Piégu23, Olivier Panaud23, Manuel Echeverria23 
TL;DR: The latest version of the RAP-DB contains a variety of annotation data as follows: clone positions, structures and functions of 31 439 genes validated by cDNAs, RNA genes detected by massively parallel signature sequencing (MPSS) technology and sequence similarity, flanking sequences of mutant lines, transposable elements, etc.
Abstract: The Rice Annotation Project Database (RAP-DB) was created to provide the genome sequence assembly of the International Rice Genome Sequencing Project (IRGSP), manually curated annotation of the sequence, and other genomics information that could be useful for comprehensive understanding of the rice biology. Since the last publication of the RAP-DB, the IRGSP genome has been revised and reassembled. In addition, a large number of rice-expressed sequence tags have been released, and functional genomics resources have been produced worldwide. Thus, we have thoroughly updated our genome annotation by manual curation of all the functional descriptions of rice genes. The latest version of the RAP-DB contains a variety of annotation data as follows: clone positions, structures and functions of 31 439 genes validated by cDNAs, RNA genes detected by massively parallel signature sequencing (MPSS) technology and sequence similarity, flanking sequences of mutant lines, transposable elements, etc. Other annotation data such as Gnomon can be displayed along with those of RAP for comparison. We have also developed a new keyword search system to allow the user to access useful information. The RAP-DB is available at: http://rapdb.dna.affrc.go.jp/ and http://rapdb.lab.nig.ac.jp/.

342 citations


Cited by
More filters
28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

01 Aug 2000
TL;DR: Assessment of medical technology in the context of commercialization with Bioentrepreneur course, which addresses many issues unique to biomedical products.
Abstract: BIOE 402. Medical Technology Assessment. 2 or 3 hours. Bioentrepreneur course. Assessment of medical technology in the context of commercialization. Objectives, competition, market share, funding, pricing, manufacturing, growth, and intellectual property; many issues unique to biomedical products. Course Information: 2 undergraduate hours. 3 graduate hours. Prerequisite(s): Junior standing or above and consent of the instructor.

4,833 citations

Journal ArticleDOI
Takashi Matsumoto1, Jianzhong Wu1, Hiroyuki Kanamori1, Yuichi Katayose1  +262 moreInstitutions (25)
11 Aug 2005-Nature
TL;DR: A map-based, finished quality sequence that covers 95% of the 389 Mb rice genome, including virtually all of the euchromatin and two complete centromeres, and finds evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes.
Abstract: Rice, one of the world's most important food plants, has important syntenic relationships with the other cereal species and is a model plant for the grasses. Here we present a map-based, finished quality sequence that covers 95% of the 389 Mb genome, including virtually all of the euchromatin and two complete centromeres. A total of 37,544 non-transposable-element-related protein-coding genes were identified, of which 71% had a putative homologue in Arabidopsis. In a reciprocal analysis, 90% of the Arabidopsis proteins had a putative homologue in the predicted rice proteome. Twenty-nine per cent of the 37,544 predicted genes appear in clustered gene families. The number and classes of transposable elements found in the rice genome are consistent with the expansion of syntenic regions in the maize and sorghum genomes. We find evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes. The map-based sequence has proven useful for the identification of genes underlying agronomic traits. The additional single-nucleotide polymorphisms and simple sequence repeats identified in our study should accelerate improvements in rice production.

3,423 citations

Journal ArticleDOI
29 Jan 2009-Nature
TL;DR: An initial analysis of the ∼730-megabase Sorghum bicolor (L.) Moench genome is presented, placing ∼98% of genes in their chromosomal context using whole-genome shotgun sequence validated by genetic, physical and syntenic information.
Abstract: Sorghum, an African grass related to sugar cane and maize, is grown for food, feed, fibre and fuel. We present an initial analysis of the approximately 730-megabase Sorghum bicolor (L.) Moench genome, placing approximately 98% of genes in their chromosomal context using whole-genome shotgun sequence validated by genetic, physical and syntenic information. Genetic recombination is largely confined to about one-third of the sorghum genome with gene order and density similar to those of rice. Retrotransposon accumulation in recombinationally recalcitrant heterochromatin explains the approximately 75% larger genome size of sorghum compared with rice. Although gene and repetitive DNA distributions have been preserved since palaeopolyploidization approximately 70 million years ago, most duplicated gene sets lost one member before the sorghum-rice divergence. Concerted evolution makes one duplicated chromosomal segment appear to be only a few million years old. About 24% of genes are grass-specific and 7% are sorghum-specific. Recent gene and microRNA duplications may contribute to sorghum's drought tolerance.

2,809 citations

Journal Article
TL;DR: FastTree as mentioned in this paper uses sequence profiles of internal nodes in the tree to implement neighbor-joining and uses heuristics to quickly identify candidate joins, then uses nearest-neighbor interchanges to reduce the length of the tree.
Abstract: Gene families are growing rapidly, but standard methods for inferring phylogenies do not scale to alignments with over 10,000 sequences. We present FastTree, a method for constructing large phylogenies and for estimating their reliability. Instead of storing a distance matrix, FastTree stores sequence profiles of internal nodes in the tree. FastTree uses these profiles to implement neighbor-joining and uses heuristics to quickly identify candidate joins. FastTree then uses nearest-neighbor interchanges to reduce the length of the tree. For an alignment with N sequences, L sites, and a different characters, a distance matrix requires O(N^2) space and O(N^2 L) time, but FastTree requires just O( NLa + N sqrt(N) ) memory and O( N sqrt(N) log(N) L a ) time. To estimate the tree's reliability, FastTree uses local bootstrapping, which gives another 100-fold speedup over a distance matrix. For example, FastTree computed a tree and support values for 158,022 distinct 16S ribosomal RNAs in 17 hours and 2.4 gigabytes of memory. Just computing pairwise Jukes-Cantor distances and storing them, without inferring a tree or bootstrapping, would require 17 hours and 50 gigabytes of memory. In simulations, FastTree was slightly more accurate than neighbor joining, BIONJ, or FastME; on genuine alignments, FastTree's topologies had higher likelihoods. FastTree is available at http://microbesonline.org/fasttree.

2,436 citations