Sequencing and phylogenetic analysis of the spoIIA operon from diverse Bacillus and Paenibacillus species

Park, Sung Goo; Yudkin, M. D.

doi:10.1016/s0378-1119(97)00096-6

Cited by 15 publications

(9 citation statements)

References 27 publications

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“…The 481 and 458 bp PCR products were cloned in pCR2.1 and sequenced. The spoIIAC fragment matched perfectly the reported sequence for the spoIIAC gene of B. sphaericus 2362 [18] while the larger fragment of spo0A sequence showed 81% identity with the corresponding region of the spo0A gene of B. sphaericus ATCC 14577 [17].…”

Section: Construction Of Spo Mutants Of B Sphaericussupporting

confidence: 71%

Crystal protein synthesis is dependent on early sporulation gene expression inBacillus sphaericus

El-Bendary¹,

Priest²,

Charles³

et al. 2005

FEMS Microbiology Letters

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Insertional mutations in the spo0A and spoIIAC genes of Bacillus sphaericus 2362 were prepared by conjugation with Escherichia coli using a suicide plasmid containing cloned portions of the target genes. The mutants resembled their Bacillus subtilis counterparts phenotypically and were devoid of crystal proteins as determined by electron microscopy, SDS-PAGE and Western blots. The mutants had greatly reduced toxicity to anopheline mosquito larvae compared to the parental strain. We conclude that crystal protein synthesis in this bacterium is dependent on expression of early sporulation genes.

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Section: Construction Of Spo Mutants Of B Sphaericussupporting

confidence: 71%

Crystal protein synthesis is dependent on early sporulation gene expression inBacillus sphaericus

El-Bendary¹,

Priest²,

Charles³

et al. 2005

FEMS Microbiology Letters

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“…12 This is intriguing because Gin orthologues are expected to play a similar antagonistic role on their σ G counterparts, and σ G itself is a very highly conserved protein (data not shown). This paradox prompted us to conduct a functional analysis of the B. subtilis Gin protein as a first step toward the understanding of its inhibitory properties.…”

Section: Introductionmentioning

confidence: 96%

Genetic Dissection of an Inhibitor of the Sporulation Sigma Factor σG

Rhayat

Duperrier

Carballido-López

et al. 2009

Journal of Molecular Biology

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“…The B. subtilis spoIIA operon (defined here as the spoIIAAspoIIAB-sigF gene cluster) is initially transcribed from a σ H -dependent promoter preceding spoIIAA 19 and subsequently from the σ F /σ G -dependent dacF promoter further upstream. [32][33][34] From the work by Park and Yudkin 77 and our own inspection of genomic sequences (not shown), it can be inferred that the spoIIA operons of representative Bacillus, Clostridium and Paenibacillus species are also under σ H control (B. coagulans, B. licheniformis, B. megaterium, B. sphaericus, B. stearothermophilus, C. acetobutylicum, C. tetani, and P. polymyxa). Thus for B. subtilis and its close relatives, the networks associated with the control of the first compartment-specific sporulation factor (σ F ) apparently lack the immediate autocatalytic feedback loop found in the networks associated with the general stress factor (σ B ).…”

Section: Appendix B Autoregulatory Feedback Loops In Homologous Partmentioning

confidence: 94%

Distinctive Topologies of Partner-switching Signaling Networks Correlate with their Physiological Roles

Igoshin

Brody

Price

et al. 2007

Journal of Molecular Biology

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Regulatory networks controlling bacterial gene expression often evolve from common origins and share homologous proteins and similar network motifs. However, when functioning in different physiological contexts, these motifs may be re-arranged with different topologies that significantly affect network performance. Here we analyze two related signaling networks in the bacterium Bacillus subtilis in order to assess the consequences of their different topologies, with the aim of formulating design principles applicable to other systems. These two networks control the activities of the general stress response factor sigma(B) and the first sporulation-specific factor sigma(F). Both networks have at their core a "partner-switching" mechanism, in which an anti-sigma factor forms alternate complexes either with the sigma factor, holding it inactive, or with an anti-anti-sigma factor, thereby freeing sigma. However, clear differences in network structure are apparent: the anti-sigma factor for sigma(F) forms a long-lived, "dead-end" complex with its anti-anti-sigma factor and ADP, whereas the genes encoding sigma(B) and its network partners lie in a sigma(B)-controlled operon, resulting in positive and negative feedback loops. We constructed mathematical models of both networks and examined which features were critical for the performance of each design. The sigma(F) model predicts that the self-enhancing formation of the dead-end complex transforms the network into a largely irreversible hysteretic switch; the simulations reported here also demonstrate that hysteresis and slow turn off kinetics are the only two system properties associated with this complex formation. By contrast, the sigma(B) model predicts that the positive and negative feedback loops produce graded, reversible behavior with high regulatory capacity and fast response time. Our models demonstrate how alterations in network design result in different system properties that correlate with regulatory demands. These design principles agree with the known or suspected roles of similar networks in diverse bacteria.

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Sequencing and phylogenetic analysis of the spoIIA operon from diverse Bacillus and Paenibacillus species

Cited by 15 publications

References 27 publications

Crystal protein synthesis is dependent on early sporulation gene expression inBacillus sphaericus

Crystal protein synthesis is dependent on early sporulation gene expression inBacillus sphaericus

Genetic Dissection of an Inhibitor of the Sporulation Sigma Factor σG

Distinctive Topologies of Partner-switching Signaling Networks Correlate with their Physiological Roles

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