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A reappraisal of evidence for probabilistic models of allelic exclusion.

ABSTRACT: B cell development requires the coordinated rearrangement of Ig heavy (IgH) and light chain loci (IgL). Most mature B cells express a single B cell receptor of unique specificity, and a central question in immunology concerns the mechanisms that prevent the productive rearrangement of >1 IgH and IgL allele per cell. Probabilistic models of allelic exclusion maintain that simultaneous rearrangement of both alleles is rare, because the likelihood of undergoing rearrangement is low for a given Ig allele. Strong support for this idea came from studies in which a GFP marker was inserted into the Igk locus. In this system, the probability of high-level germ-line transcription and subsequent locus rearrangement appeared to be low in pre-B cells. Readdressing the validity of GFP expression as a reporter for the level of germ-line transcription, we found a striking discordance between GFP transcript and protein levels at the pre-B cell stage, which is explained at least in part by the developmentally regulated usage of 2 alternative Igk-J germ-line promoters. These results question the validity of the kappa-GFP system as evidence for probabilistic models of allelic exclusion.

SUBMITTER: Taylor B

PROVIDER: S-EPMC2626735 | biostudies-literature | 2009 Jan

REPOSITORIES: biostudies-literature

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A reappraisal of evidence for probabilistic models of allelic exclusion.

Taylor Benjamin B Cobb Bradley S BS Bruno Ludovica L Webster Zoe Z Fisher Amanda G AG Merkenschlager Matthias M

Proceedings of the National Academy of Sciences of the United States of America 20081230 2

B cell development requires the coordinated rearrangement of Ig heavy (IgH) and light chain loci (IgL). Most mature B cells express a single B cell receptor of unique specificity, and a central question in immunology concerns the mechanisms that prevent the productive rearrangement of >1 IgH and IgL allele per cell. Probabilistic models of allelic exclusion maintain that simultaneous rearrangement of both alleles is rare, because the likelihood of undergoing rearrangement is low for a given Ig a ...[more]

PMID: 19116266

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Project description:BackgroundThe CRISPR/Cas system is known to act as an adaptive and heritable immune system in Eubacteria and Archaea. Immunity is encoded in an array of spacer sequences. Each spacer can provide specific immunity to invasive elements that carry the same or a similar sequence. Even in closely related strains, spacer content is very dynamic and evolves quickly. Standard models of nucleotide evolution cannot be applied to quantify its rate of change since processes other than single nucleotide changes determine its evolution.MethodsWe present probabilistic models that are specific for spacer content evolution. They account for the different processes of insertion and deletion. Insertions can be constrained to occur on one end only or are allowed to occur throughout the array. One deletion event can affect one spacer or a whole fragment of adjacent spacers. Parameters of the underlying models are estimated for a pair of arrays by maximum likelihood using explicit ancestor enumeration.ResultsSimulations show that parameters are well estimated on average under the models presented here. There is a bias in the rate estimation when including fragment deletions. The models also estimate times between pairs of strains. But with increasing time, spacer overlap goes to zero, and thus there is an upper bound on the distance that can be estimated. Spacer content similarities are displayed in a distance based phylogeny using the estimated times.We use the presented models to analyze different Yersinia pestis data sets and find that the results among them are largely congruent. The models also capture the variation in diversity of spacers among the data sets. A comparison of spacer-based phylogenies and Cas gene phylogenies shows that they resolve very different time scales for this data set.ConclusionsThe simulations and data analyses show that the presented models are useful for quantifying spacer content evolution and for displaying spacer content similarities of closely related strains in a phylogeny. This allows for comparisons of different CRISPR arrays or for comparisons between CRISPR arrays and nucleotide substitution rates.

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A reappraisal of evidence for probabilistic models of allelic exclusion.

Publications

A reappraisal of evidence for probabilistic models of allelic exclusion.

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