scholarly journals Japanese plan speeds up rice genome sequencing

Nature ◽  
10.1038/43503 ◽  
1999 ◽  
Vol 401 (6749) ◽  
pp. 102-102 ◽  
Author(s):  
Asako Saegusa
Keyword(s):  
Genome Sequencing ◽  
Rice Genome ◽  
Rice Genome Sequencing

Construction and utility of 10-kb libraries for efficient clone-gap closure for rice genome sequencing

2003 ◽  
Vol 107 (4) ◽  
pp. 652-660 ◽  
Author(s):  
Tae-Jin Yang ◽  
Yeisoo Yu ◽  
Gyoungju Nah ◽  
Michael Atkins ◽  
Seunghee Lee ◽  
...  
Keyword(s):  
Genome Sequencing ◽  
Rice Genome ◽  
Gap Closure ◽  
Rice Genome Sequencing

scholarly journals Completion of Rice Genome Sequencing

2006 ◽  
Vol 40 (2) ◽  
pp. 99-105
Author(s):  
Takashi MATSUMOTO ◽  
Jianzhong WU ◽  
Nobukazu NAMIKI ◽  
Hiroyuki KANAMORI ◽  
Masaki FUJISAWA ◽  
...  
Keyword(s):  
Genome Sequencing ◽  
Rice Genome ◽  
Rice Genome Sequencing

The International Rice Genome Sequencing Project: progress and prospects

2008 ◽  
pp. 189-196
Author(s):  
T. Sasaki ◽  
T. Matsumoto ◽  
T. Baba ◽  
K. Yamamoto ◽  
J. Wu ◽  
...  
Keyword(s):  
Genome Sequencing ◽  
Rice Genome ◽  
Genome Sequencing Project ◽  
Sequencing Project ◽  
Rice Genome Sequencing

Rice Genome Sequencing and Data Mining Resources

2007 ◽  
pp. 1-12
Author(s):  
Baltazar A. Antonio ◽  
Yoshiaki Nagamura ◽  
Nobukasu Namiki ◽  
Takashi Matsumoto ◽  
Takuji Sasaki
Keyword(s):  
Data Mining ◽  
Genome Sequencing ◽  
Rice Genome ◽  
Rice Genome Sequencing

Sequence-tagged connector/DNA fingerprint framework for rice genome sequencing

2008 ◽  
pp. 215-225
Author(s):  
R. A. Wing ◽  
Yeisoo Yu ◽  
G. Presting ◽  
D. Frisch ◽  
T. Wood ◽  
...  
Keyword(s):  
Genome Sequencing ◽  
Rice Genome ◽  
Dna Fingerprint ◽  
Rice Genome Sequencing

scholarly journals Characterization of the leaf microbiome from whole-genome sequencing data of the 3000 rice genomes project.

2020 ◽  
Author(s):  
Veronica Roman-Reyna ◽  
Dale Pinili ◽  
Frances Nikki Borja ◽  
Ian Lorenzo Quibod ◽  
Simon C. Groen ◽  
...  
Keyword(s):  
Genome Sequencing ◽  
Crop Improvement ◽  
Rice Genome ◽  
Plant Genome ◽  
Whole Genome Sequencing Data ◽  
Sequencing Data ◽  
Rice Leaf ◽  
Relative Contribution ◽  
Bacterial Microbiome ◽  
Host Microbe Interactions

Abstract Background: The crop microbial communities are shaped by interactions between the host, microbes and the environment, however, their relative contribution is beginning to be understood. Here, we explore these interactions in the leaf bacterial community across 3,024 rice accessions. Findings: By using unmapped DNA sequencing reads as microbial reads, we characterized the structure of the rice bacterial microbiome. We identified central bacteria taxa that emerge as microbial “hubs” and may have an influence on the network of host-microbe interactions. We found regions in the rice genome that might control the assembly of these microbial hubs. To our knowledge this is one of the first studies that uses raw data from plant genome sequencing projects to characterize the leaf bacterial communities. Conclusion: We showed, that the structure of the rice leaf microbiome is modulated by multiple interactions among host, microbes, and environment. Our data provide insight into the factors influencing microbial assemblage in the rice leaf and also opens the door for future initiatives to modulate rice consortia for crop improvement efforts.

scholarly journals Characterization of the Leaf Microbiome from Whole-Genome Sequencing Data of the 3000 Rice Genomes Project

Rice ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Veronica Roman-Reyna ◽  
Dale Pinili ◽  
Frances N. Borja ◽  
Ian L. Quibod ◽  
Simon C. Groen ◽  
...  
Keyword(s):  
Genome Sequencing ◽  
Crop Improvement ◽  
Rice Genome ◽  
Plant Genome ◽  
Whole Genome Sequencing Data ◽  
Sequencing Data ◽  
Rice Leaf ◽  
Relative Contribution ◽  
Bacterial Microbiome ◽  
Host Microbe Interactions

Abstract Background The crop microbial communities are shaped by interactions between the host, microbes and the environment, however, their relative contribution is beginning to be understood. Here, we explore these interactions in the leaf bacterial community across 3024 rice accessions. Findings By using unmapped DNA sequencing reads as microbial reads, we characterized the structure of the rice bacterial microbiome. We identified central bacteria taxa that emerge as microbial “hubs” and may have an influence on the network of host-microbe interactions. We found regions in the rice genome that might control the assembly of these microbial hubs. To our knowledge this is one of the first studies that uses raw data from plant genome sequencing projects to characterize the leaf bacterial communities. Conclusion We showed, that the structure of the rice leaf microbiome is modulated by multiple interactions among host, microbes, and environment. Our data provide insight into the factors influencing microbial assemblage in the rice leaf and also opens the door for future initiatives to modulate rice consortia for crop improvement efforts.

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