Immune mediators associated with human tuberculosis (TB) remain poorly defined. This study quantified levels of lung immune mediator gene expression at the time of diagnosis and during anti-TB treatment using cells obtained by induced sputum. Upon comparison to patients with other infectious lung diseases and volunteers, active pulmonary TB cases expressed significantly higher levels of mediators that counteract Th1-type and innate immunity. Despite the concomitant heightened levels of Th1-type mediators, immune activation may be rendered ineffectual by high levels of intracellular (SOCS and IRAK-M) and extracellular (IL-10 and TGF-βRII, IL-1Rn, and IDO) immune suppressive mediators. These modulators are a direct response to Mycobacterium tuberculosis as, by day 30 of anti-TB treatment, many suppressive factors declined to that of controls whereas most Th1-type and innate immune mediators rose above pretreatment levels. Challenge of human immune cells with M. tuberculosis in vitro up-regulated these immune modulators as well. The observed low levels of NO synthase-2 produced by alveolar macrophages at TB diagnosis, along with the heightened amounts of suppressive mediators, support the conclusion that M. tuberculosis actively promotes down-modulatory mediators to counteract Th1-type and innate immunity as an immunopathological strategy. Our data highlight the potential application of immune mediators as surrogate markers for TB diagnosis or treatment response.

Black lion tamarin (BLT) monkeys (Leontopithecus chrysopygus) have suffered a severe reduction in their natural range and are consequently critically endangered. Because allozyme data showed very low levels of variation, it was not clear if these monkeys had much genetic diversity. We designed microsatellite primers for BLTs, and from them we identified nine polymorphic loci, seven of which were tested on golden lion tamarins (GLTs) (Leontopithecus rosalia). All of the seven polymorphic loci and two other monomorphic BLT loci were polymorphic in GLTs. The microsatellite markers identified here are directly applicable to ongoing lion tamarin population and conservation genetics studies.

Leontopithecus comprises 4 taxa: black lion tamarins (L. chrysopygus), golden lion tamarins (L. rosalia), black-faced lion tamarins (L. caissara), and golden-headed lion tamarins (L. chrysomelas). Endemic to the Atlantic Forest of Brazil, they are endangered (Appendix I, CITES; IUCN Critically Endangered: Leontopithecus chrysopygus, L. caissara; IUCN Endangered: L. rosalia, L. chrysomelas). The 4 taxa are differentiated morphologically and geographically and occupy different habitat types. However, it is not clear if all of them are separate species, particularly Leontopithecus caissara, or how they are related to one another evolutionarily. Therefore, we investigated lion tamarin differentiation and radiation. We sequenced the mtDNA control region and performed phylogenetic analyses, population aggregation analyses, and Mantel tests for geographic/genetic correlation. Mitochondrial genetic data suggest 3 distinct lion tamarin clades (Leontopithecus chrysomelas; L. caissara; and L. chrysopygus/L. rosalia). Phylogenetic analysis also supports: 1) the basal lion tamarin is Leontopithecus chrysomelas, and not L. chrysopygus, 2) L. caissara is not subspecific to L. chrysopygus, and 3) Quaternary forest refugia may have shaped lion tamarin diversification via a pattern that does not follow the theory of metachromism. Even though mitochondrial genetic analyses do not unequivocally support the 4 lion tamarins as separate species, one should consider the 4 lion tamarins, with equal conservation priority based on the combination of morphological, genetic, and habitat differentiation. Each of them is an extremely valuable flagship species that focuses attention on the diminishing, highly endemic Atlantic Forest of Brazil.

Understanding the genetic basis of natural phenotypic variation is of great importance, particularly since selection can act on this variation to cause evolution. We examined expression and allelic variation in candidate flowering time loci in Brassica rapa plants derived from a natural population and showing a broad range in the timing of first flowering. The loci of interest were orthologs of the Arabidopsis genes FLC and SOC1 (BrFLC and BrSOC1, respectively), which in Arabidopsis play a central role in the flowering time regulatory network, with FLC repressing and SOC1 promoting flowering. In B. rapa, there are four copies of FLC and three of SOC1. Plants were grown in controlled conditions in the lab. Comparisons were made between plants that flowered the earliest and latest, with the difference in average flowering time between these groups ~ 30 days. As expected, we found that total expression of BrSOC1 paralogs was significantly greater in early than in late flowering plants. Paralog-specific primers showed that expression was greater in early flowering plants in the BrSOC1 paralogs Br004928, Br00393 and Br009324, although the difference was not significant in Br009324. Thus expression of at least 2 of the 3 BrSOC1 orthologs is consistent with their predicted role in flowering time in this natural population. Sequences of the promoter regions of the BrSOC1 orthologs were variable, but there was no association between allelic variation at these loci and flowering time variation. For the BrFLC orthologs, expression varied over time, but did not differ between the early and late flowering plants. The coding regions, promoter regions and introns of these genes were generally invariant. Thus the BrFLC orthologs do not appear to influence flowering time in this population. Overall, the results suggest that even for a trait like flowering time that is controlled by a very well described genetic regulatory network, understanding the underlying genetic basis of natural variation in such a quantitative trait is challenging.

Understanding the genetic basis of natural phenotypic variation is of great importance, particularly since selection can act on this variation to cause evolution. We examined expression and allelic variation in candidate flowering time loci in Brassica rapa plants derived from a natural population and showing a broad range in the timing of first flowering. The loci of interest were orthologs of the Arabidopsis genes FLC and SOC1 (BrFLC and BrSOC1, respectively), which in Arabidopsis play a central role in the flowering time regulatory network, with FLC repressing and SOC1 promoting flowering. In B. rapa, there are four copies of FLC and three of SOC1. Plants were grown in controlled conditions in the lab. Comparisons were made between plants that flowered the earliest and latest, with the difference in average flowering time between these groups ∼30 days. As expected, we found that total expression of BrSOC1 paralogs was significantly greater in early than in late flowering plants. Paralog-specific primers showed that expression was greater in early flowering plants in the BrSOC1 paralogs Br004928, Br00393 and Br009324, although the difference was not significant in Br009324. Thus expression of at least 2 of the 3 BrSOC1 orthologs is consistent with their predicted role in flowering time in this natural population. Sequences of the promoter regions of the BrSOC1 orthologs were variable, but there was no association between allelic variation at these loci and flowering time variation. For the BrFLC orthologs, expression varied over time, but did not differ between the early and late flowering plants. The coding regions, promoter regions and introns of these genes were generally invariant. Thus the BrFLC orthologs do not appear to influence flowering time in this population. Overall, the results suggest that even for a trait like flowering time that is controlled by a very well described genetic regulatory network, understanding the underlying genetic basis of natural variation in such a quantitative trait is challenging.

No abstract

Understanding the genetic basis of natural phenotypic variation is of great importance, particularly since selection can act on this variation to cause evolution. We examined expression and allelic variation in candidate flowering time loci in Brassica rapa plants derived from a natural population and showing a broad range in the timing of first flowering. The loci of interest were orthologs of the Arabidopsis genes FLC and SOC1 (BrFLC and BrSOC1, respectively), which in Arabidopsis play a central role in the flowering time regulatory network, with FLC repressing and SOC1 promoting flowering. In B. rapa, there are four copies of FLC and three of SOC1. Plants were grown in controlled conditions in the lab. Comparisons were made between plants that flowered the earliest and latest, with the difference in average flowering time between these groups ~ 30 days. As expected, we found that total expression of BrSOC1 paralogs was significantly greater in early than in late flowering plants. Paralog-specific primers showed that expression was greater in early flowering plants in the BrSOC1 paralogs Br004928, Br00393 and Br009324, although the difference was not significant in Br009324. Thus expression of at least 2 of the 3 BrSOC1 orthologs is consistent with their predicted role in flowering time in this natural population. Sequences of the promoter regions of the BrSOC1 orthologs were variable, but there was no association between allelic variation at these loci and flowering time variation. For the BrFLC orthologs, expression varied over time, but did not differ between the early and late flowering plants. The coding regions, promoter regions and introns of these genes were generally invariant. Thus the BrFLC orthologs do not appear to influence flowering time in this population. Overall, the results suggest that even for a trait like flowering time that is controlled by a very well described genetic regulatory network, understanding the underlying genetic basis of natural variation in such a quantitative trait is challenging.

No abstract