The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Complete Transcriptome of the Soybean Root Hair Cell, a Single-Cell Model, and Its Alteration in Response to Bradyrhizobium japonicum Infection
Open accessAbstract
Nodulation is the result of a mutualistic interaction between legumes and symbiotic soil bacteria (e.g. soybean [Glycine max] and Bradyrhizobium japonicum) initiated by the infection of plant root hair cells by the symbiont. Fewer than 20 plant genes involved in the nodulation process have been functionally characterized. Considering the complexity of the symbiosis, significantly more genes are likely involved. To identify genes involved in root hair cell infection, we performed a large-scale transcriptome analysis of B. japonicum-inoculated and mock-inoculated soybean root hairs using three different technologies: microarray hybridization, Illumina sequencing, and quantitative real-time reverse transcription-polymerase chain reaction. Together, a total of 1,973 soybean genes were differentially expressed with high significance during root hair infection, including orthologs of previously characterized root hair infection-related genes such as NFR5 and NIN. The regulation of 60 genes was confirmed by quantitative real-time reverse transcription-polymerase chain reaction. Our analysis also highlighted changes in the expression pattern of some homeologous and tandemly duplicated soybean genes, supporting their rapid specialization.
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome Biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,172
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
limma: Linear Models for Microarray Data
Smyth, G. K. (2005) · Statistics for Biology and Health · doi:10.1007/0-387-29362-0_23 · Cited by 5,796
Genome sequence of the palaeopolyploid soybean
Schmutz, J., Cannon, S. B., Schlueter, J., Ma, J., Mitros, T., Nelson, W., Hyten, D. L., Song, Q., Thelen, J. J., Cheng, J., et al. (2010) · Nature · doi:10.1038/nature08670 · Cited by 4,463
Self-citationAssumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data
Ramakers, C., Ruijter, J. M., Deprez, R. H. L., & Moorman, A. F. M. (2003) · Neuroscience Letters · doi:10.1016/s0304-3940(02)01423-4 · Cited by 3,709
GMAP: A genomic mapping and alignment program for mRNA and EST sequences
Wu, T. D., & Watanabe, C. K. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti310 · Cited by 2,354
A Model-Based Background Adjustment for Oligonucleotide Expression Arrays
Wu, Z., Irizarry, R. A., Gentleman, R., Martinez-Murillo, F., & Spencer, F. (2004) · Journal of the American Statistical Association · doi:10.1198/016214504000000683 · Cited by 1,716
Plant recognition of symbiotic bacteria requires two LysM receptor-like kinases
Radutoiu, S., Madsen, L. H., Madsen, E. B., Felle, H. H., Umehara, Y., Grønlund, M., Sato, S., Nakamura, Y., Tabata, S., Sandal, N., et al. (2003) · Nature · doi:10.1038/nature02039 · Cited by 1,221
Coordinating Nodule Morphogenesis with Rhizobial Infection in Legumes
Oldroyd, G. E. D., & Downie, J. A. (2008) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.59.032607.092839 · Cited by 1,142
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Rodriguez, P. A., Rothballer, M., Chowdhury, S. P., Nussbaumer, T., Gutjahr, C., & Falter-Braun, P. (2019) · Molecular Plant · doi:10.1016/j.molp.2019.05.006 · Cited by 489
Le, D. T., Nishiyama, R., Watanabe, Y., Mochida, K., Yamaguchi-Shinozaki, K., Shinozaki, K., & Tran, L.-S. P. (2011) · DNA Research · doi:10.1093/dnares/dsr015 · Cited by 450
Breakspear, A., Liu, C., Roy, S., Stacey, N., Rogers, C., Trick, M., Morieri, G., Mysore, K. S., Wen, J., Oldroyd, G. E. D., et al. (2014) · The Plant Cell · doi:10.1105/tpc.114.133496 · Cited by 377
Plet, J., Wasson, A., Ariel, F., Le Signor, C., Baker, D., Mathesius, U., Crespi, M., & Frugier, F. (2011) · The Plant Journal · doi:10.1111/j.1365-313x.2010.04447.x · Cited by 304
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Metadata
- Authors
- Libault, M., Farmer, A., Brechenmacher, L., Drnevich, J., Langley, R. J., Bilgin, D. D., Radwan, O., Neece, D. J., Clough, S. J., May, G. D., & Stacey, G.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-11-20
- Volume
- 152
- Issue
- 2
- Pages
- 541-552
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W2097085435
- Cited by
- 310
- References
- 42
- FWCI
- 16.62
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Libault, M., Farmer, A., Brechenmacher, L., Drnevich, J., Langley, R. J., Bilgin, D. D., Radwan, O., Neece, D. J., Clough, S. J., May, G. D., & Stacey, G. (2010). Complete Transcriptome of the Soybean Root Hair Cell, a Single-Cell Model, and Its Alteration in Response to Bradyrhizobium japonicum Infection. Plant Physiology. https://doi.org/10.1104/pp.109.148379
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