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Abstract Background High-throughput re-sequencing is rapidly becoming the method of choice for studies of neutral and adaptive processes in natural populations across taxa. As re-sequencing the genome of large numbers of samples is still cost-prohibitive in many cases, methods for genome complexity reduction have been developed in attempts to capture most ecologically-relevant genetic variation. One of these approaches is sequence capture, in which oligonucleotide baits specific to genomic regions of interest are synthesized and used to retrieve and sequence those regions. Results We used sequence capture to re-sequence most predicted exons, their upstream regulatory regions, as well as numerous random genomic intervals in a panel of 48 genotypes of the angiosperm tree Populus trichocarpa (black cottonwood, or ‘poplar’). A total of 20.76Mb (5%) of the poplar genome was targeted, corresponding to 173,040 baits. With 12 indexed samples run in each of four lanes on an Illumina HiSeq instrument (2x100 paired-end), 86.8% of the bait regions were on average sequenced at a depth ≥10X. Few off-target regions (>250bp away from any bait) were present in the data, but on average ~80bp on either side of the baits were captured and sequenced to an acceptable depth (≥10X) to call heterozygous SNPs. Nucleotide diversity estimates within and adjacent to protein-coding genes were similar to those previously reported in Populus spp., while intergenic regions had higher values consistent with a relaxation of selection. Conclusions Our results illustrate the efficiency and utility of sequence capture for re-sequencing highly heterozygous tree genomes, and suggest design considerations to optimize the use of baits in future studies.

Abstract Background High throughput methods, such as high density oligonucleotide microarray measurements of mRNA levels, are popular and critical to genome scale analysis and systems biology. However understanding the results of these analyses and in particular understanding the very wide range of levels of transcriptional changes observed is still a significant challenge. Many researchers still use an arbitrary cut off such as two-fold in order to identify changes that may be biologically significant. We have used a very large-scale microarray experiment involving 72 biological replicates to analyze the response of soybean plants to infection by the pathogen Phytophthora sojae and to analyze transcriptional modulation as a result of genotypic variation. Results With the unprecedented level of statistical sensitivity provided by the high degree of replication, we show unambiguously that almost the entire plant genome (97 to 99% of all detectable genes) undergoes transcriptional modulation in response to infection and genetic variation. The majority of the transcriptional differences are less than two-fold in magnitude. We show that low amplitude modulation of gene expression (less than two-fold changes) is highly statistically significant and consistent across biological replicates, even for modulations of less than 20%. Our results are consistent through two different normalization methods and two different statistical analysis procedures. Conclusion Our findings demonstrate that the entire plant genome undergoes transcriptional modulation in response to infection and genetic variation. The pervasive low-magnitude remodeling of the transcriptome may be an integral component of physiological adaptation in soybean, and in all eukaryotes.

Adaptation to climate across latitude and altitude reflects shared climatic constraints, which may lead to parallel adaptation. However, theory predicts that higher gene flow should favor more concentrated genomic architectures, which would lead to fewer locally maladapted recombinants., We used exome capture to resequence the gene space along a latitudinal and two altitudinal transects in the model tree Populus trichocapra. Adaptive trait phenotyping was coupled with FST outlier tests and sliding window analysis to assess the degree of parallel adaptation as well as the genomic distribution of outlier loci., Up to 51% of outlier loci overlapped between transect pairs and up to 15% of these loci overlapped among all three transects. Genomic clustering of adaptive loci was more pronounced for altitudinal than latitudinal transects. In both altitudinal transects, there was a larger number of these 'islands of divergence', which were on average longer and included several of exceptional physical length., Our results suggest that recapitulation of genetic clines over latitude and altitude involves extensive parallelism, but that steep altitudinal clines generate islands of divergence. This suggests that physical proximity of genes in coadapted complexes may buffer against the movement of maladapted alleles from geographically proximal but climatically distinct populations. [ABSTRACT FROM AUTHOR]

Idiopathic pulmonary fibrosis (IPF) is a devastating pulmonary disease with no curative treatment other than lung transplantation. IPF results from maladaptive responses to lung epithelial injury, but the underlying mechanisms remain unclear. Here, we show that deficiency in the innate immune receptor, toll-like receptor 5 (TLR5), is associated with IPF in humans and with increased susceptibility to epithelial injury and experimental fibrosis in mice, while activation of lung epithelial TLR5 through a synthetic flagellin analogue protects from experimental fibrosis. Mechanistically, epithelial TLR5 activation induces antimicrobial gene expression and ameliorates dysbiosis after lung injury. In contrast, TLR5 deficiency in mice and IPF patients is associated with lung dysbiosis. Elimination of the microbiome in mice through antibiotics abolishes the protective effect of TLR5 and reconstitution of the microbiome rescues the observed phenotype. In aggregate, TLR5 deficiency is associated with IPF and dysbiosis in humans and in the murine model of pulmonary fibrosis. Furthermore, TLR5 protects against pulmonary fibrosis in mice and this protection is mediated by effects on the microbiome., One-Sentence Summary: Deficiency in the innate immune receptor TLR5 is a risk factor for pulmonary fibrosis, because TLR5 prevents microbial dysbiosis after lung injury.

Massive amounts of transcriptomic data documenting plant responses to changes in environment continue to accumulate in online databases. Unfortunately, many of these data sets have not been analyzed in full detail, especially those that involve time course experiments. To gain more knowledge of the successive gene expression events that occur when stress is initiated in one organ and then relayed to another, we have chosen stress response data for Arabidopsis shoots and roots from the detailed time course study of Killian et al. as a promising source to mine. Using refined statistical analysis, modified vector analysis, and a GO enrichment algorithm, more information was revealed concerning the effects of salt and UVB on gene expression events in shoots and roots over a 24-h time period. GeneMania, with in-house modifications, was used to further analyze abscisic acid (ABA) and jasmonic acid-related (JA) gene expression events in salt-stressed roots and shoots. JA effects appeared to be quite distinct in roots when compared to shoots, especially with respect to the expression of members of the negative regulatory JAZ gene family. In contrast, ABA-related gene expression events were more similar in the two organs. Instances of crosstalk between hormones were observed, as were early responses of regulatory genes involved in both auxin and cytokinin signaling. In the case of each hormone class examined, hormone biosynthesis genes were coexpressed with the genes encoding negative regulators of the corresponding signaling pathway. Hypotheses to explain this finding and future experiments to further explore these nonlinear phenomena are proposed.