Distinct DNA repair pathways involving RecA and nonhomologous end joining in Mycobacterium smegmatis

Mycobacterium smegmatis was used to study the relationship between DNA repair processes involving RecA and nonhomologous end joining (NHEJ). The effect of gene deletions in recA and/or in two genes involved in NHEJ (ku and ligD) was tested on the ability of bacteria to join breaks in plasmids transformed into them and in their response to chemicals that damage DNA. The results provide in vivo evidence that only NHEJ is required for the repair of noncompatible DNA ends. By contrast, the response of mycobacteria to mitomycin C preferentially involved a RecA-dependent pathway.     

Effects of ssDNA sequences on non-sequence-specific protein binding

The circular dichroism (CD) spectra of single-stranded DNAs (ssDNAs) are significantly perturbed by the binding of single-stranded DNA binding proteins such as the Ff bacteriophage gene 5 protein (g5p) and the A domain of the 70 kDa subunit of human replication protein A (RPA70-A). These two proteins have similar OB-fold secondary structures, although their CD spectra at wavelengths below 250 nm differ greatly. The spectrum of g5p is dominated by a tyrosyl L(a) band at 229 nm, while that of RPA70-A is dominated by its beta secondary structure. Despite differences in their inherent spectral properties, these two proteins similarly perturb the spectra of bound nucleic acid oligomers. CD spectra of free, non-protein-bound ssDNAs are dependent on interactions of the nearest-neighboring nucleotides in the sequence. The CD spectra (per mol of nucleotide) of simple repetitive sequences 48 nucleotides in length and containing simple combinations of A and C are related by nearest-neighbor equations. For example, 3 x Deltaepsilon[d(AAC)(16)] = 3 x Deltaepsilon[d(ACC)(16)] + Deltaepsilon[d(A)(48)] - Deltaepsilon[d(C)(48)]. Moreover, nearest-neighbor equations relate the spectra of ssDNAs when they are bound by g5p, indicating that each type of perturbed nearest neighbor has a similar average structure within the binding site of the protein.     

The effect of heterotachy in multigene analysis using the neighbor joining method

Sequence alignments of multiple genes are routinely used to infer phylogenetic relationships among species. The analysis of their concatenation is more likely to give correct results under an assumption of homotachy (i.e., the evolutionary rates within lineages in each of the concatenated genes are constant during evolution). Here, we examine how the violation of homotachy (i.e., presence of within-site rate variation, called heterotachy) distorts species phylogenies. A theoretical examination has been conducted using a four taxon case and the neighbor joining (NJ) method, concluding that NJ recovers the incorrect tree when concatenated genes exhibit heterotachy. The application of average and weighted-average distance approaches, where gene boundaries are kept intact, overcomes the detrimental effect of heterotachy in multigene analysis using the NJ method.     

The pre-B cell receptor checkpoint

B lymphocytes are essential antibody-producing cells of the immune system. During the development of progenitor B cells to mature B cells that express a membrane-bound antibody, the B cell receptor (BCR), the cells undergo selection at several checkpoints, which ensures that a diverse antibody repertoire is generated and that the BCRs recognise foreign-, but not self-, antigens. In this review, we consider the pre-BCR checkpoint. Mutations or alterations that affect this checkpoint underpin the development of pre-B cell leukemias, primary immunodeficiency, and possibly, systemic autoimmunity.     

The telomeric protein SNM1B/Apollo is required for normal cell proliferation and embryonic development

Conserved metallo β‐Lactamase and β‐CASP (CPSF‐Artemis‐Snm1‐Pso2) domain nuclease family member SNM1B/Apollo is a shelterin‐associated protein that localizes to telomeres through its interaction with TRF2. To study its in vivo role, we generated a knockout of SNM1B/Apollo in a mouse model. Snm1B/Apollo homozygous null mice die at birth with developmental delay and defects in multiple organ systems. Cell proliferation defects were observed in Snm1B/Apollo mutant mouse embryonic fibroblasts (MEFs) owing to high levels of telomeric end‐to‐end fusions. Deficiency of the nonhomologous end‐joining (NHEJ) factor Ku70, but not p53, rescued the developmental defects and lethality observed in Snm1B/Apollo mutant mice as well as the impaired proliferation of Snm1B/Apollo‐deficient MEFs. These findings demonstrate that SNM1B/Apollo is required to protect telomeres against NHEJ‐mediated repair, which results in genomic instability and the consequent multi‐organ developmental failure. Although Snm1B/Apollo‐deficient MEFs exhibited high levels of apoptosis, abrogation of p53‐dependent programmed cell death did not rescue the multi‐organ developmental failure in the mice.     

Comparing the performances of Diggle's tests of spatial randomness for small samples with and without edge-effect correction: application to ecological data

Diggle's tests of spatial randomness based on empirical distributions of interpoint distances can be performed with and without edge-effect correction. We present here numerical results illustrating that tests without the edge-effect correction proposed by Diggle (1979, Biometrics 35, 87-101) have a higher power for small sample sizes than those with correction. Ignoring the correction enables detection of departure from spatial randomness with smaller samples (down to 10 points vs. 30 points for the tests with correction). These results are confirmed by an example with ecological data consisting of maps of two species of trees in a West African savanna. Tree numbers per species per map were often less than 20. For one of the species, for which maps strongly suggest an aggregated pattern, tests without edge-effect correction enabled rejection of the null hypothesis on three plots out of five vs. on only one for the tests with correction.     

Predicting 22 protein localizations in budding yeast

According to the recent experiments, proteins in budding yeast can be distinctly classified into 22 subcellular locations. Of these proteins, some bear the multi-locational feature, i.e., occur in more than one location. However, so far all the existing methods in predicting protein subcellular location were developed to deal with only the mono-locational case where a query protein is assumed to belong to one, and only one, subcellular location. To stimulate the development of subcellular location prediction, an augmentation procedure is formulated that will enable the existing methods to tackle the multi-locational problem as well. It has been observed thru a jackknife cross-validation test that the success rate obtained by the augmented GO-FnD-PseAA algorithm [BBRC 320 (2004) 1236] is overwhelmingly higher than those by the other augmented methods. It is anticipated that the augmented GO-FunD-PseAA predictor will become a very useful tool in predicting protein subcellular localization for both basic research and practical application.     

Speed-up of DNA melting algorithm with complete nearest neighbor properties

We describe an optimized algorithm, which is faster and more accurate compared to previously described algorithms, for computing the statistical mechanics of denaturation of nucleic acid sequences according to the classical Poland-Scheraga type of model. Nearest neighbor thermodynamics has been included in a complete and general way, by rigorously treating nearest neighbor interactions, helix end interactions, and isolated base-pairs. This avoids the simplifications of previous approaches and achieves full generality and controllability with respect to thermodynamic modeling. The algorithm computes subchain partition functions by recursion, from which various quantitative aspects of the melting process are easily derived, for example the base-pairing probability profiles. The algorithm represents an optimization with respect to algorithmic complexity of the partition function algorithm of Yeramian et al. (Biopolymers 1990, 30, 481-497): we reduce the computation time for a base-pairing probability profile from O(N2) to O(N), where N is the sequence length. This speed-up comes in addition to the speed-up due to a multiexponential approximation of the loop entropy factor as introduced by Fixman and Freire22 and applied by Yeramian et al. The speed-up, however, is independent of the multiexponential approximation and reduces time from O(N3) to O(N2) in the exact case. A method for representing very large numbers is described, which avoids numerical overflow in the partition functions for genomic length sequences. In addition to calculating the standard base-pairing probability profiles, we propose to use the algorithm to calculate various other probabilities (loops, helices, tails) for a more direct view of the melting regions and their positions and sizes. This can provide a better understanding of the physics of denaturation and the biology of genomes.