Project description:We used custom Nimblegen microarrays representing whole-larval transcriptomes for two species (Papilio zelicaon [this submission] and Erynnis propertius [submitted seperately]) to assess gene expression differences affecting tolerance to climatic regimes. Many individuals were sourced from populations from the northern periphery and center of the species' (shared) range; these were each divided into groups treated under peripheral and central climate regimes, resulting in 4 experimental groups for each species (Peripheral Source, Peripheral treatment; Peripheral Source, Central Treatment; Central Source, Peripheral Treatment; Central Source, Central Treatment). Using technical microarray replicates allowed us to use ANOVA to identify genes whose expression may underlie local adaptation to climate (i.e., those showing an interaction term between source and population). Abstract: Population differences may determine geographic range shifts and adaptive evolution under climate change. Local adaptation in peripheral populations could preclude or slow range expansions, and populations with different genetic make-up could have distinct trajectories that produce complex spatial patterns of population change. To investigate the genetic extent of local responses to climate change, we exposed poleward-periphery and central populations of two Lepidoptera to reciprocal, common-garden climatic conditions and compared whole-transcriptome expression. We found significant expression differences between populations in both species. In addition, several hundred genes including genes involved in energy metabolism and oxidative stress responded in a localized fashion in the species that exhibits greater population structure and local adaptation. Expression levels of these genes are most divergent in the same environment in which we previously detected phenotypic divergence in metabolism. By contrast, we found no localized genes in the species with higher gene flow, reflecting the lack of previously observed local adaptation. These results suggest that population differences do not generalize easily, even for related species living in the same climate, but some taxa deserve population-level consideration when predicting the effects of climate change.

Project description:We used custom Nimblegen microarrays representing whole-larval transcriptomes for two species (Erynnis propertius [this submission] and Papilio zelicaon [submitted seperately]) to assess gene expression differences affecting tolerance to climatic regimes. Many individuals were sourced from populations from the northern periphery and center of the species' (shared) range; these were each divided into groups treated under peripheral and central climate regimes, resulting in 4 experimental groups for each species (Peripheral Source, Peripheral treatment; Peripheral Source, Central Treatment; Central Source, Peripheral Treatment; Central Source, Central Treatment). Using technical microarray replicates allowed us to use ANOVA to identify genes whose expression may underlie local adaptation to climate (i.e., those showing an interaction term between source and population). Abstract: Population differences may determine geographic range shifts and adaptive evolution under climate change. Local adaptation in peripheral populations could preclude or slow range expansions, and populations with different genetic make-up could have distinct trajectories that produce complex spatial patterns of population change. To investigate the genetic extent of local responses to climate change, we exposed poleward-periphery and central populations of two Lepidoptera to reciprocal, common-garden climatic conditions and compared whole-transcriptome expression. We found significant expression differences between populations in both species. In addition, several hundred genes including genes involved in energy metabolism and oxidative stress responded in a localized fashion in the species that exhibits greater population structure and local adaptation. Expression levels of these genes are most divergent in the same environment in which we previously detected phenotypic divergence in metabolism. By contrast, we found no localized genes in the species with higher gene flow, reflecting the lack of previously observed local adaptation. These results suggest that population differences do not generalize easily, even for related species living in the same climate, but some taxa deserve population-level consideration when predicting the effects of climate change.

Project description:Bovine tropical theileriosis is a major haemoprotozoan disease associated with high rates of morbidity and mortality particularly in exotic and crossbred cattle. It is one of the major constraints for of the livestock development programmes in India and southern Asia. Indigenous cattle (Bos indicus) are less affected by this disease than exotic and crossbred cattle. Genetic basis of resistance to tropical theileriosis in indigenous cattle is not well studied. Recent studies gives an idea that differentially genes expressed in exotic and indigenous breeds play an important role in breed specific resistance to tropical theileriosis. The present study was designed to visualize the global gene expression profiling in PBMCs derived from indigenous (Tharparkar) and crossbred cattle with in vitro infection of T. annulata. T. annulata Parbhani strain, originally isolated from Maharashtra (India) and maintained as cryopreserved stabilates of ground-up tick tissue sporozoite (GUTS) of infected H. anatolicum anatolicum was used as infective material. Two separate microarray experiments were carried out using separately each for crossbred and Tharparkar cattle. The crossbred cattle showed 1082 differentially expressed genes (DEGs). Out of total DEGs, 597 genes were downregulated and 485 were upregulated. Their fold change varies from 2283.93 to -4816.02. Tharparkar cattle showed 875 differentially expressed genes. Out of total DEGs in Tharparkar cattle, 451 genes were downregulated and 424 genes were upregulated. Their fold change varies from 94.93 to -19.20. A subset of genes was validated by quantitative RT-PCR and results correlated well with data obtained from the microarrays indicating that the microarray results gave an accurate report of transcript level. Functional annotation study of differentially expressed genes has confirmed their involvement in various pathways including response to oxidative stress, immune system regulation, cell proliferation, cytoskeletal changes, kinases activity and apoptosis. Gene network analysis of these differentially expressed genes provided an effective way to understand the interaction among them. It is therefore, hypothesised that the dissimilar susceptibility to tropical theileriosis exhibited by indigenous and crossbred cattle is due to breed-specific differences in the interaction of infected cells with other immune cells, which ultimately influences the immune response generated against T. annulata infection. Global gene expression profiling in PBMCs derived from indigenous (Tharparkar) and crossbred cattle were studied after in vitro infection of T. annulata Parbhani strain at 2h time period. Two separate microarray experiments were carried out using Bovine (V2) Gene Expression Microarray, 4x44K (Agilent). Two biological replicate samples were profiled per condition (i.e. replicates samples each in crossbred and Tharparkar cattle).

Project description:Bovine tropical theileriosis is a major haemoprotozoan disease associated with high rates of morbidity and mortality particularly in exotic and crossbred cattle. It is one of the major constraints for of the livestock development programmes in India and southern Asia. Indigenous cattle (Bos indicus) are less affected by this disease than exotic and crossbred cattle. Genetic basis of resistance to tropical theileriosis in indigenous cattle is not well studied. Recent studies gives an idea that differentially genes expressed in exotic and indigenous breeds play an important role in breed specific resistance to tropical theileriosis. The present study was designed to visualize the global gene expression profiling in PBMCs derived from indigenous (Tharparkar) and crossbred cattle with in vitro infection of T. annulata. T. annulata Parbhani strain, originally isolated from Maharashtra (India) and maintained as cryopreserved stabilates of ground-up tick tissue sporozoite (GUTS) of infected H. anatolicum anatolicum was used as infective material. Two separate microarray experiments were carried out using separately each for crossbred and Tharparkar cattle. The crossbred cattle showed 1082 differentially expressed genes (DEGs). Out of total DEGs, 597 genes were downregulated and 485 were upregulated. Their fold change varies from 2283.93 to -4816.02. Tharparkar cattle showed 875 differentially expressed genes. Out of total DEGs in Tharparkar cattle, 451 genes were downregulated and 424 genes were upregulated. Their fold change varies from 94.93 to -19.20. A subset of genes was validated by quantitative RT-PCR and results correlated well with data obtained from the microarrays indicating that the microarray results gave an accurate report of transcript level. Functional annotation study of differentially expressed genes has confirmed their involvement in various pathways including response to oxidative stress, immune system regulation, cell proliferation, cytoskeletal changes, kinases activity and apoptosis. Gene network analysis of these differentially expressed genes provided an effective way to understand the interaction among them. It is therefore, hypothesised that the dissimilar susceptibility to tropical theileriosis exhibited by indigenous and crossbred cattle is due to breed-specific differences in the interaction of infected cells with other immune cells, which ultimately influences the immune response generated against T. annulata infection.

Project description:We used custom Nimblegen microarrays representing whole-larval transcriptomes for two species (Papilio zelicaon [this submission] and Erynnis propertius [submitted seperately]) to assess gene expression differences affecting tolerance to climatic regimes. Many individuals were sourced from populations from the northern periphery and center of the species' (shared) range; these were each divided into groups treated under peripheral and central climate regimes, resulting in 4 experimental groups for each species (Peripheral Source, Peripheral treatment; Peripheral Source, Central Treatment; Central Source, Peripheral Treatment; Central Source, Central Treatment). Using technical microarray replicates allowed us to use ANOVA to identify genes whose expression may underlie local adaptation to climate (i.e., those showing an interaction term between source and population). Abstract: Population differences may determine geographic range shifts and adaptive evolution under climate change. Local adaptation in peripheral populations could preclude or slow range expansions, and populations with different genetic make-up could have distinct trajectories that produce complex spatial patterns of population change. To investigate the genetic extent of local responses to climate change, we exposed poleward-periphery and central populations of two Lepidoptera to reciprocal, common-garden climatic conditions and compared whole-transcriptome expression. We found significant expression differences between populations in both species. In addition, several hundred genes including genes involved in energy metabolism and oxidative stress responded in a localized fashion in the species that exhibits greater population structure and local adaptation. Expression levels of these genes are most divergent in the same environment in which we previously detected phenotypic divergence in metabolism. By contrast, we found no localized genes in the species with higher gene flow, reflecting the lack of previously observed local adaptation. These results suggest that population differences do not generalize easily, even for related species living in the same climate, but some taxa deserve population-level consideration when predicting the effects of climate change. Previously we sequenced and assembled whole larval transcriptome ESTs sourced from pooled central-population individuals subjected to environmental stressors (see O'Neil et al., 2008). From these assemblies custom Nimblegen microarrays were designed (Nimblegen, Inc.), representing 34,609 putative gene sequences for E. propertius (submitted separately) and 25,735 putative gene sequences for P. zelicaon (this submission). Probe designs sought 5 representative 60mer probes for E.propertius and 4 representative probes for P. zelicaon. Messenger RNA was was sampled from multiple individuals of each experimental group and pooled before being converted to cDNA and hybridized to technical replicate microarrays. Three technical replicates for each experimental group were used, for a total of 12 microarrays (per species). Microarray data were log2 transformed and quintile-normalized (Bolstad et al. 2003) on a per-species basis.

Project description:We used custom Nimblegen microarrays representing whole-larval transcriptomes for two species (Erynnis propertius [this submission] and Papilio zelicaon [submitted seperately]) to assess gene expression differences affecting tolerance to climatic regimes. Many individuals were sourced from populations from the northern periphery and center of the species' (shared) range; these were each divided into groups treated under peripheral and central climate regimes, resulting in 4 experimental groups for each species (Peripheral Source, Peripheral treatment; Peripheral Source, Central Treatment; Central Source, Peripheral Treatment; Central Source, Central Treatment). Using technical microarray replicates allowed us to use ANOVA to identify genes whose expression may underlie local adaptation to climate (i.e., those showing an interaction term between source and population). Abstract: Population differences may determine geographic range shifts and adaptive evolution under climate change. Local adaptation in peripheral populations could preclude or slow range expansions, and populations with different genetic make-up could have distinct trajectories that produce complex spatial patterns of population change. To investigate the genetic extent of local responses to climate change, we exposed poleward-periphery and central populations of two Lepidoptera to reciprocal, common-garden climatic conditions and compared whole-transcriptome expression. We found significant expression differences between populations in both species. In addition, several hundred genes including genes involved in energy metabolism and oxidative stress responded in a localized fashion in the species that exhibits greater population structure and local adaptation. Expression levels of these genes are most divergent in the same environment in which we previously detected phenotypic divergence in metabolism. By contrast, we found no localized genes in the species with higher gene flow, reflecting the lack of previously observed local adaptation. These results suggest that population differences do not generalize easily, even for related species living in the same climate, but some taxa deserve population-level consideration when predicting the effects of climate change. Previously we sequenced and assembled whole larval transcriptome ESTs sourced from pooled central-population individuals subjected to environmental stressors (see O'Neil et al., 2008). From these assemblies custom Nimblegen microarrays were designed (Nimblegen, Inc.), representing 34,609 putative gene sequences for E. propertius (this submission) and 25,735 putative gene sequences for P. zelicaon (submitted seperately). Probe designs sought 5 representative 60mer probes for E.propertius and 4 representative probes for P. zelicaon. Messenger RNA was was sampled from multiple individuals of each experimental group and pooled before being converted to cDNA and hybridized to technical replicate microarrays. Three technical replicates for each experimental group were used, for a total of 12 microarrays (per species). Microarray data were log2 transformed and quintile-normalized (Bolstad et al. 2003) on a per-species basis.

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Genome-wide differential DNA methylation in tropically adapted Creole cattle and their Iberian ancestors

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