Genome sequencing reveals agronomically important loci in rice using MutMap

By A. Abe, S. Kosugi, Kentaro Yoshida, S. Natsume, H. Takagi, H. Kanzaki, H. Matsumura, K. Yoshida, Chikako Mitsuoka, Muluneh Tamiru and 4 more. Nature Biotechnology, 2012

1,199 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/849fb76062fafeb590b309ac39d9ff84ceda0022

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Bin Han
2. Sophien Kamoun
3. Xuehui Huang
4. Caixia Gao

In Molecular Biology

1. Bin Han
2. Sophien Kamoun
3. Xuehui Huang
4. Hideki Innan
5. Diego Rubiales
6. Henrik Kaessmann

In Plant Science

1. Bin Han
2. Sophien Kamoun
3. Xuehui Huang
4. C. Coyne
5. Diego Rubiales
6. Caixia Gao
7. Henrik Kaessmann

Citations in the corpus

• Natural variations and genome-wide association studies in crop plants. (2014, methodology): “Genome sequencing reveals agronomically important loci in rice using MutMap.”
• QTL-seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations. (2013, methodology): “We have recently finemapped a major QTL, qPHS3-2, on chromosome 3 that confers the seedling vigor in Dunghan Shali using conventional QTL analysis of RILs of the F 7 generation derived from a cross between Dunghan Shali and a japonica cultivar Kakehashi (Abe et al., 2012b).”
• Pea (Pisum sativum L.) in the Genomic Era (2012, background): “Once the pea genome sequence data is available, mutant identification can be substantially extended to any genomic region as shown recently in rice [238].”