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Kuttiyarthu Veetil N, Henschen AE, Hawley DM, Melepat B, Dalloul RA, Beneš V, Adelman JS, Vinkler M. Varying conjunctival immune response adaptations of house finch populations to a rapidly evolving bacterial pathogen. Front Immunol 2024; 15:1250818. [PMID: 38370402 PMCID: PMC10869556 DOI: 10.3389/fimmu.2024.1250818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 01/11/2024] [Indexed: 02/20/2024] Open
Abstract
Pathogen adaptations during host-pathogen co-evolution can cause the host balance between immunity and immunopathology to rapidly shift. However, little is known in natural disease systems about the immunological pathways optimised through the trade-off between immunity and self-damage. The evolutionary interaction between the conjunctival bacterial infection Mycoplasma gallisepticum (MG) and its avian host, the house finch (Haemorhous mexicanus), can provide insights into such adaptations in immune regulation. Here we use experimental infections to reveal immune variation in conjunctival tissue for house finches captured from four distinct populations differing in the length of their co-evolutionary histories with MG and their disease tolerance (defined as disease severity per pathogen load) in controlled infection studies. To differentiate contributions of host versus pathogen evolution, we compared house finch responses to one of two MG isolates: the original VA1994 isolate and a more evolutionarily derived one, VA2013. To identify differential gene expression involved in initiation of the immune response to MG, we performed 3'-end transcriptomic sequencing (QuantSeq) of samples from the infection site, conjunctiva, collected 3-days post-infection. In response to MG, we observed an increase in general pro-inflammatory signalling, as well as T-cell activation and IL17 pathway differentiation, associated with a decrease in the IL12/IL23 pathway signalling. The immune response was stronger in response to the evolutionarily derived MG isolate compared to the original one, consistent with known increases in MG virulence over time. The host populations differed namely in pre-activation immune gene expression, suggesting population-specific adaptations. Compared to other populations, finches from Virginia, which have the longest co-evolutionary history with MG, showed significantly higher expression of anti-inflammatory genes and Th1 mediators. This may explain the evolution of disease tolerance to MG infection in VA birds. We also show a potential modulating role of BCL10, a positive B- and T-cell regulator activating the NFKB signalling. Our results illuminate potential mechanisms of house finch adaptation to MG-induced immunopathology, contributing to understanding of the host evolutionary responses to pathogen-driven shifts in immunity-immunopathology trade-offs.
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Affiliation(s)
| | - Amberleigh E. Henschen
- Department of Biological Sciences, The University of Memphis, Memphis, TN, United States
| | - Dana M. Hawley
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, United States
| | - Balraj Melepat
- Department of Zoology, Charles University, Faculty of Science, Prague, Czechia
| | - Rami A. Dalloul
- Department of Poultry Science, The University of Georgia, Athens, GA, United States
| | - Vladimír Beneš
- European Molecular Biology Laboratory (EMBL), Genomics Core Facility, Heidelberg, Germany
| | - James S. Adelman
- Department of Biological Sciences, The University of Memphis, Memphis, TN, United States
| | - Michal Vinkler
- Department of Zoology, Charles University, Faculty of Science, Prague, Czechia
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2
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Kuttiyarthu Veetil N, Cedraz de Oliveira H, Gomez-Samblas M, Divín D, Melepat B, Voukali E, Świderská Z, Krajzingrová T, Těšický M, Jung F, Beneš V, Madsen O, Vinkler M. Peripheral inflammation-induced changes in songbird brain gene expression: 3' mRNA transcriptomic approach. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2024; 151:105106. [PMID: 38013114 DOI: 10.1016/j.dci.2023.105106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/03/2023] [Accepted: 11/21/2023] [Indexed: 11/29/2023]
Abstract
Species-specific neural inflammation can be induced by profound immune signalling from periphery to brain. Recent advances in transcriptomics offer cost-effective approaches to study this regulation. In a population of captive zebra finch (Taeniopygia guttata), we compare the differential gene expression patterns in lipopolysaccharide (LPS)-triggered peripheral inflammation revealed by RNA-seq and QuantSeq. The RNA-seq approach identified more differentially expressed genes but failed to detect any inflammatory markers. In contrast, QuantSeq results identified specific expression changes in the genes regulating inflammation. Next, we adopted QuantSeq to relate peripheral and brain transcriptomes. We identified subtle changes in the brain gene expression during the peripheral inflammation (e.g. up-regulation in AVD-like and ACOD1 expression) and detected co-structure between the peripheral and brain inflammation. Our results suggest benefits of the 3'end transcriptomics for association studies between peripheral and neural inflammation in genetically heterogeneous models and identify potential targets for the future brain research in birds.
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Affiliation(s)
- Nithya Kuttiyarthu Veetil
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
| | - Haniel Cedraz de Oliveira
- Wageningen University and Research, Department of Animal Sciences, Animal Breeding and Genomics, Droevendaalsesteeg 1, 6708PB, Wageningen, the Netherlands; Federal University of Viçosa, Viçosa, MG, 36570-900, Brazil.
| | - Mercedes Gomez-Samblas
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic; Granada University, Science faculty, Department of Parasitology, CP:18071, Granada, Granada, Spain.
| | - Daniel Divín
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
| | - Balraj Melepat
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
| | - Eleni Voukali
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
| | - Zuzana Świderská
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
| | - Tereza Krajzingrová
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
| | - Martin Těšický
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
| | - Ferris Jung
- EMBL, Genomics Core Facility, Meyerhofstraße 1, 69117, Heidelberg, Germany.
| | - Vladimír Beneš
- EMBL, Genomics Core Facility, Meyerhofstraße 1, 69117, Heidelberg, Germany.
| | - Ole Madsen
- Wageningen University and Research, Department of Animal Sciences, Animal Breeding and Genomics, Droevendaalsesteeg 1, 6708PB, Wageningen, the Netherlands.
| | - Michal Vinkler
- Charles University, Faculty of Science, Department of Zoology, Viničná 7, 128 43, Prague, Czech Republic.
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McClure RS, Rericha Y, Waters KM, Tanguay RL. 3' RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism. FRONTIERS IN BIOINFORMATICS 2023; 3:1234218. [PMID: 37576716 PMCID: PMC10414111 DOI: 10.3389/fbinf.2023.1234218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 07/12/2023] [Indexed: 08/15/2023] Open
Abstract
Introduction: The application of RNA-sequencing has led to numerous breakthroughs related to investigating gene expression levels in complex biological systems. Among these are knowledge of how organisms, such as the vertebrate model organism zebrafish (Danio rerio), respond to toxicant exposure. Recently, the development of 3' RNA-seq has allowed for the determination of gene expression levels with a fraction of the required reads compared to standard RNA-seq. While 3' RNA-seq has many advantages, a comparison to standard RNA-seq has not been performed in the context of whole organism toxicity and sparse data. Methods and results: Here, we examined samples from zebrafish exposed to perfluorobutane sulfonamide (FBSA) with either 3' or standard RNA-seq to determine the advantages of each with regards to the identification of functionally enriched pathways. We found that 3' and standard RNA-seq showed specific advantages when focusing on annotated or unannotated regions of the genome. We also found that standard RNA-seq identified more differentially expressed genes (DEGs), but that this advantage disappeared under conditions of sparse data. We also found that standard RNA-seq had a significant advantage in identifying functionally enriched pathways via analysis of DEG lists but that this advantage was minimal when identifying pathways via gene set enrichment analysis of all genes. Conclusions: These results show that each approach has experimental conditions where they may be advantageous. Our observations can help guide others in the choice of 3' RNA-seq vs standard RNA sequencing to query gene expression levels in a range of biological systems.
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Affiliation(s)
- Ryan S. McClure
- Biological Sciences Division, Pacific Northwest Laboratory, Richland, WA, United States
| | - Yvonne Rericha
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, United States
| | - Katrina M. Waters
- Biological Sciences Division, Pacific Northwest Laboratory, Richland, WA, United States
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, United States
| | - Robyn L. Tanguay
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, United States
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Kalikiri MKR, Manjunath HS, Vempalli FR, Mathew LS, Liu L, Wang L, Wang G, Wang K, Soloviov O, Lorenz S, Tomei S. Technical assessment of different extraction methods and transcriptome profiling of RNA isolated from small volumes of blood. Sci Rep 2023; 13:3598. [PMID: 36869090 PMCID: PMC9984369 DOI: 10.1038/s41598-023-30629-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 02/27/2023] [Indexed: 03/05/2023] Open
Abstract
Transcriptome profiling of human whole blood is used to discover biomarkers of diseases and to assess phenotypic traits. Recently, finger-stick blood collection systems have allowed a less invasive and quicker collection of peripheral blood. Such non-invasive sampling of small volumes of blood offers practical advantages. The quality of gene expression data is strictly dependent on the steps used for the sample collection, extraction, preparation and sequencing. Here we have: (i) compared the manual and automated RNA extraction of small volumes of blood using the Tempus Spin RNA isolation kit and the MagMAX for Stabilized Blood RNA Isolation kit , respectively; and (ii) assessed the effect of TURBO DNA Free treatment on the transcriptomic data of RNA isolated from small volumes of blood. We have used the QuantSeq 3' FWD mRNA-Seq Library Prep kit to prepare RNA-seq libraries, which were sequenced on the Illumina NextSeq 500 system. The samples isolated manually displayed a higher variability in the transcriptomic data as compared to the other samples. The TURBO DNA Free treatment affected the RNA samples negatively, decreasing the RNA yield and reducing the quality and reproducibility of the transcriptomic data. We conclude that automated extraction systems should be preferred over manual extraction systems for data consistency, and that the TURBO DNA Free treatment should be avoided when working on RNA samples isolated manually from small volumes of blood.
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Affiliation(s)
| | | | | | - Lisa Sara Mathew
- Clinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar
| | - Li Liu
- Clinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar
| | - Li Wang
- Clinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar
| | - Guishuang Wang
- Clinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar
| | - Kun Wang
- Clinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar
| | - Oleksandr Soloviov
- Clinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar
| | - Stephan Lorenz
- Clinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar
- Omics Core, Integrated Genomic Services, Sidra Medicine, Doha, Qatar
- Bioinformatics Core, Integrated Genomics Services, Sidra Medicine, Doha, Qatar
| | - Sara Tomei
- Omics Core, Integrated Genomic Services, Sidra Medicine, Doha, Qatar.
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5
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Chiari Y, Howard L, Moreno N, Relyea S, Dunnigan J, Boyer MC, Kardos M, Glaberman S, Luikart G. Influence of RNA-Seq library construction, sampling methods, and tissue harvesting time on gene expression estimation. Mol Ecol Resour 2023; 23:803-817. [PMID: 36704853 DOI: 10.1111/1755-0998.13757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 12/14/2022] [Accepted: 01/17/2023] [Indexed: 01/28/2023]
Abstract
RNA sequencing (RNA-Seq) is popular for measuring gene expression in non-model organisms, including wild populations. While RNA-Seq can detect gene expression variation among wild-caught individuals and yield important insights into biological function, sampling methods can also affect gene expression estimates. We examined the influence of multiple technical variables on estimated gene expression in a non-model fish, the westslope cutthroat trout (Oncorhynchus clarkii lewisi), using two RNA-Seq library types: 3' RNA-Seq (QuantSeq) and whole mRNA-Seq (NEB). We evaluated effects of dip netting versus electrofishing, and of harvesting tissue immediately versus 5 min after euthanasia on estimated gene expression in blood, gill, and muscle. We found no significant differences in gene expression between sampling methods or tissue collection times with either library type. When library types were compared using the same blood samples, 58% of genes detected by both NEB and QuantSeq showed significantly different expression between library types, and NEB detected 31% more genes than QuantSeq. Although the two library types recovered different numbers of genes and expression levels, results with NEB and QuantSeq were consistent in that neither library type showed differences in gene expression between sampling methods and tissue harvesting times. Our study suggests that researchers can safely rely on different fish sampling strategies in the field. In addition, while QuantSeq is more cost effective, NEB detects more expressed genes. Therefore, when it is crucial to detect as many genes as possible (especially low expressed genes), when alternative splicing is of interest, or when working with an organism lacking good genomic resources, whole mRNA-Seq is more powerful.
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Affiliation(s)
- Ylenia Chiari
- Department of Biology, George Mason University, Fairfax, Virginia, USA
| | - Leif Howard
- Flathead Lake Biological Station, Montana Conservation Genomics Laboratory, Division of Biological Science, University of Montana, Missoula, Montana, USA.,Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, Montana, USA
| | - Nickolas Moreno
- Department of Biology, George Mason University, Fairfax, Virginia, USA
| | - Scott Relyea
- Sekokini Springs Hatchery, Montana Fish Wildlife and Parks, Bozeman, Montana, USA
| | - James Dunnigan
- Sekokini Springs Hatchery, Montana Fish Wildlife and Parks, Bozeman, Montana, USA
| | | | - Marty Kardos
- Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
| | - Scott Glaberman
- Department of Environmental Science and Policy, George Mason University, Fairfax, Virginia, USA
| | - Gordon Luikart
- Flathead Lake Biological Station, Montana Conservation Genomics Laboratory, Division of Biological Science, University of Montana, Missoula, Montana, USA.,Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, Montana, USA
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6
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Jang JS, Holicky E, Lau J, McDonough S, Mutawe M, Koster MJ, Warrington KJ, Cuninngham JM. Application of the 3' mRNA-Seq using unique molecular identifiers in highly degraded RNA derived from formalin-fixed, paraffin-embedded tissue. BMC Genomics 2021; 22:759. [PMID: 34689749 PMCID: PMC8543821 DOI: 10.1186/s12864-021-08068-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 10/10/2021] [Indexed: 11/11/2022] Open
Abstract
Background Archival formalin-fixed, paraffin-embedded (FFPE) tissue samples with clinical and histological data are a singularly valuable resource for developing new molecular biomarkers. However, transcriptome analysis remains challenging with standard mRNA-seq methods as FFPE derived-RNA samples are often highly modified and fragmented. The recently developed 3′ mRNA-seq method sequences the 3′ region of mRNA using unique molecular identifiers (UMI), thus generating gene expression data with minimal PCR bias. In this study, we evaluated the performance of 3′ mRNA-Seq using Lexogen QuantSeq 3′ mRNA-Seq Library Prep Kit FWD with UMI, comparing with TruSeq Stranded mRNA-Seq and RNA Exome Capture kit. The fresh-frozen (FF) and FFPE tissues yielded nucleotide sizes range from 13 to > 70% of DV200 values; input amounts ranged from 1 ng to 100 ng for validation. Results The total mapped reads of QuantSeq 3′ mRNA-Seq to the reference genome ranged from 99 to 74% across all samples. After PCR bias correction, 3 to 56% of total sequenced reads were retained. QuantSeq 3′ mRNA-Seq data showed highly reproducible data across replicates in Universal Human Reference RNA (UHR, R > 0.94) at input amounts from 1 ng to 100 ng, and FF and FFPE paired samples (R = 0.92) at 10 ng. Severely degraded FFPE RNA with ≤30% of DV200 value showed good concordance (R > 0.87) with 100 ng input. A moderate correlation was observed when directly comparing QuantSeq 3′ mRNA-Seq data with TruSeq Stranded mRNA-Seq (R = 0.78) and RNA Exome Capture data (R > 0.67). Conclusion In this study, QuantSeq 3′ mRNA-Seq with PCR bias correction using UMI is shown to be a suitable method for gene quantification in both FF and FFPE RNAs. 3′ mRNA-Seq with UMI may be applied to severely degraded RNA from FFPE tissues generating high-quality sequencing data. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-08068-1.
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Affiliation(s)
- Jin Sung Jang
- Genome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA. .,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
| | - Eileen Holicky
- Genome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA
| | - Julie Lau
- Genome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA
| | - Samantha McDonough
- Genome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA
| | - Mark Mutawe
- Genome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA
| | - Matthew J Koster
- Department of Internal Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA
| | - Kenneth J Warrington
- Department of Internal Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA
| | - Julie M Cuninngham
- Genome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA. .,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
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