Source: PENNSYLVANIA STATE UNIVERSITY submitted to
TRANSCRIPTOMIC DETERMINATION OF GENES INVOLVED IN THE NUTRITIONAL ECOLOGY OF FALL ARMYWORM PLANT HOST STRAINS
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
0221350
Grant No.
2010-65106-20656
Cumulative Award Amt.
(N/A)
Proposal No.
2009-05255
Multistate No.
(N/A)
Project Start Date
Mar 15, 2010
Project End Date
Mar 14, 2013
Grant Year
2010
Program Code
[91113]- Arthropod and Nematode Biology and Management: Tools, Resources, and Genomics
Project Director
Luthe, D. S.
Recipient Organization
PENNSYLVANIA STATE UNIVERSITY
208 MUELLER LABORATORY
UNIVERSITY PARK,PA 16802
Performing Department
Plant Science
Non Technical Summary
Fall armyworm, Spodoptera frugiperda, has been well documented for over 200 years as a significant pest in the USA and other regions of the western hemisphere. Due in part to occurrence of plant host strains, it can feed on over 60 species of plants including a wide variety of crops used for food, fiber and biofuels. Pest management depends on insecticides and an increasing reliance on transgenic crops. Yet resistance to both controls occurs in the field. Thus, efforts to discover and develop inborn plant resistant varieties are crucial to improvement and sustainability of integrated pest management of fall armyworm and other caterpillar pests. Proficient discovery and development of in born plant resistance requires understanding the functional genomics (gene sequences, functions and effects) underlying the nutritional ecology of insect crop pests. Fall armyworm is an excellent model system for investigating these genomic mechanisms. This project's scientists have found a link between larval nutritional ecology, development of resistant corn lines, dispersal and other life-history characteristics of fall armyworm. Existence of two genetically different plant host strains defined by their nutritional ecology as corn and rice strains could lead to deciphering genes determining how variation in nutritional adaptation leads to host plant preference. Such research cannot proceed because the necessary functional genomic knowledge is lacking for fall armyworm and other crop pests. Therefore, a primary benefit of this project will be a public, WEB-accessible transcriptome with sequences of expressed genes whose function is defined according to tissue, life stage, host strain and putative biochemical function. Another benefit will be a public catalogue of variation in sequence coding for use as genetic markers that will be highly valuable in deducing implications of population dynamics, gene flow, resistance and dispersal on pest management. Functionally important variation underlying the nutritional ecology of organisms' is governed by regulation of gene expression. Thus, this project will use the transcriptome to analyze changes in gene expression level as fall armyworm feed on the caterpillar resistant MP708 corn line. MP708 producing Mir-CP plant protease is one of the most promising in born (not genetically engineered) lines of corn resistant to moth caterpillar pests. Degradative action of Mir-CP on protein comprising the peritrophic membrane of caterpillar guts is unique and disrupts nutrient utilization. A third benefit from this project will be advancing development of MP708 corn by discovering gene expression profiles in specific caterpillar tissues and host strains that respond to the effects of eating resistant MP708 corn. Overall, this project will create public genomic toolsets available for enhanced understanding of prominent moth pest biology and discover host plant-dependent effects on the nutritional ecology of these pests leading to improved pest management through the use of inborn plant resistance.
Animal Health Component
5%
Research Effort Categories
Basic
95%
Applied
5%
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
2111510104050%
2113110104050%
Goals / Objectives
Fall armyworm is a major pest primarily because it thrives on a wide range of plants, many of them agricultural crops, and disperses readily among host plants and geographic regions. This biology and existence of plant host strains indicates this insect as an excellent model system for deciphering the functional genomics of ecologically driven phenotypic plasticity in agricultural pests and investigating the functional genomic and genetic processes by which insects adapt to natural and manipulated plant defenses. However, the necessary functional genomic knowledge is lacking for fall armyworm and other crop pests, and this slows our progress. This project will create public functional genomic toolsets and enhance understanding of moth pest biology by sequencing the fall armyworm transcriptome, characterizing host plant dependent variation in gene expression, and constructing a WEB accessible database of functionally annotated genes according to tissue, life stage, host strain and putative biochemical function. These genomic toolsets will allow a large community of researchers to undertake studies to better understand the biology of this prominent pest species and enhance development of pest management approaches including innate plant resistance. In objective one, next generation sequencing, multiplex ID tagging and orthology-based computation will be used to produce a functionally annotated sequence for transcripts expressed in each tissue, life stage and strain of fall armyworm examined. In objective two, expression profiling with next generation sequencing will test the hypothesis that eating foliage from the lepidopteran resistant corn inbred line Mp708 alters transcription of genes involved in nutrient utilization, development and growth of fall armyworm plant host strain larvae. Expression profiling will be performed using paired-end Illumina sequencing. Alignment of these sequences against a grand transcriptome produced in objective one will be used to identify single nucleotide polymorphisms, derive splice isoforms, and quantify variation in expression level of individual genes with respect to tissue, life stage, host strain and corn line on which the larva fed, thereby allowing us to test multiple hypotheses. Constructing ArmywormBase to house all data from this project in a public, Web-accessible form is the last objective. Performance of this objective will be integrated throughout the project to deliver raw, assembled and annotated sequence data for use by the scientific community in a timely manner, with posting of results shortly after being produced. Sequence data will also be deposited in other appropriate and publically WEB-accessible databases (e.g., InsectaCentral) that enable across-species comparisons. ArmywormBase will contain sequence polymorphism and expression libraries and the entire database will be accessible through BLAST and text searching against raw and assembled, annotated sequence organized as a grand transcriptome, along with libraries for each experimental combination of tissue, life stage, host plant and host strain tested.
Project Methods
Recently developed applications of next generation sequencing technologies will be used throughout this project. Objective one will use Roche 454 technology to sequence transcripts obtained separately from several tissues, life stages and host strains of fall armyworm. Multiplex ID tagging will identify each source of transcript sequences after a single full plate run of the sequencer, thereby decreasing cost. Computational methods established in the researchers' laboratories will be used to assemble and annotate ESTs by ID tag with results available through ArmywormBase created by this project and other appropriate and publically WEB-accessible databases (InsectaCentral). Expression profiling will be performed in objective two with Illumina technology including their mRNA-Seq application and Paired-End Module. Compared to expression profiling with microarrays, this technology provides a relatively simple, more comprehensive, and direct ultra-high-throughput quantification of composition and abundance of transcripts in a transcriptome. At the same time, use of paired-end sequencing and the more accurate, far more numerous Illumina sequences will enhance discovery of sequence variation (SNPs and splice isoforms) and increase accuracy of the transcriptome assembly from objective one. RNA to be sequenced will derive separately from several tissues and host strains of fall armyworm larvae that ate foliage from the lepidopteran resistant corn inbred line Mp708 or a susceptible line. Tagging will be used to differentiate sequences with respect to tissue, host strain and corn line on which larvae fed, thereby allowing us to test multiple hypotheses from RNA pooled for a single sequencing run. Established computational methods will be used to map Illumina reads to the transcriptome from objective one and calculate the prevalence of transcripts based on normalized counts of unique reads, spliced reads and multireads all with respect to tag category and site of origin on the transcriptome. This transcript prevalence in reads per kilobase of a transcript per million mapped reads to the transcriptome will be arcsine transformed and analyzed by gene with standard least squares ANOVA using replicate, cultivar and tissue as model effects along with the Q-value approach to test for false positives when performing a large number of comparisons. Construction of ArmywormBase as a Web-accessible database is objective three whose performance will be integrated throughout the project to deliver data for use by the scientific community in a timely manner. This database will be built using the software and HTML code framework of CinxiaBase. It will enable BLAST and text searching against raw and assembled sequence that have orthology-based functional annotation. Sequences will be organized as a grand transcriptome assembled from both 454 and Illumina ESTs, along with libraries for each combination of tissue, life stage, host strain and host plant experimental treatment. Included in the database will be searchable sequence variation and expression libraries.

Progress 03/15/10 to 03/14/13

Outputs
Target Audience: Researchers in the fields of Plant Biology, Entomology and Bioinformatics. Especially focused toward those who study plant/insect interactions. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? The Co-PI, Dr. Fescemyer has become one of the leading scientists in fall armyworm transcriptome analysis and has been invited to present his results at several international meetings. "Explorations in integrative biology with butterflies and agricultural moth pests," Workshop on Adaptation to a Biotic Environment in Lepidoptera, Feb. 14-15, 2013, Paris, France "Explorations in Integrative Biology with Butterflies and Agricultural Moth Pests," Butterfly Genetics Group, University of Cambridge,September 11, 2012Cambridge, United Kingdom. How have the results been disseminated to communities of interest? Dr. Fescemeyer reported findings at the two following international conferences: "Explorations in integrative biology with butterflies and agricultural moth pests," Workshop on Adaptation to a Biotic Environment in Lepidoptera, Feb. 14-15, 2013, Paris, France "Explorations in Integrative Biology with Butterflies and Agricultural Moth Pests," Butterfly Genetics Group, University of Cambridge,September 11, 2012Cambridge, United Kingdom. Dr. Luthe presented findings in these venues: TARI (Taiwan Agricultural Research Institute) - “Maize’s Multipronged Defenses Against Caterpillars and Other Herbivores” (October 2012) National Chung Hsing University (Taichung, Taiwan) -- “Lessons from Mother Nature: What We Have Learned from Caterpillar Resistant Maize”(early October 2012) Second International Meeting on the Insect Midgut (Guangzhou, China) -- “Maize’s Multipronged Defenses Against Caterpillars and Other Herbivores” ( September 24 to 28, 2012) University of Toledo -- “Maize’s Multipronged Defenses Against Caterpillars and Other Herbivores” (December 7, 2012) What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? 1. In objective one, next generation sequencing, multiplex ID tagging and orthology-based computation will be used to produce a functionally annotated sequence for transcripts expressed in each tissue, life stage and strain of fall armyworm examined. Response: We have accomplished this goal and are in the process of preparing the publications. 2. In objective two, expression profiling with next generation sequencing will test the hypothesis that eating foliage from the lepidopteran resistant corn inbred line Mp708 alters transcription of genes involved in nutrient utilization, development and growth of fall armyworm plant host strain larvae. Response: This has been accomplished and the results were published by Fescemyer et al. in 2013. 3. Constructing ArmywormBase to house all data from this project in a public, Web-accessible form is the third objective. Please see the section on "Products" for information regarding the database.

Publications

  • Type: Journal Articles Status: Published Year Published: 2013 Citation: Fescemyer, H. W., G.V. Sandoya, T.A. Gill, S. Ozkan, J.H. Marden and D.S. Luthe. 2013. Maize toxin degrades peritrophic matrix proteins and stimulates compensatory transcriptome responses in fall armyworm midgut. Insect Biochemistry and Molecular Biology 43: 280-291.


Progress 03/15/11 to 03/14/12

Outputs
OUTPUTS: Sequencing and ortholog-based functional annotation of the transcriptome in several tissues and life stages of the fall armyworm (FAW), Spodoptera frugiperda, is Aim 1 of the project. Toward completion of this aim, we used mRNA-seq on the paired-end Illumina HiSeq platform to sequence larval cDNA libraries deriving from RNA separately isolated from labial (silk) salivary glands, fat body, midgut and whole bodies of both the corn and rice plant host strains. As negotiated in year one of this project, a unified transcriptome is being generated by combining our sequence data with that from the French National Institute for Agricultural Research (INRA) which consists of 454 and single-end Illumina sequence derived from several tissues and life stages of the corn strain. Progress on Aim 3 of this project involves continued development of ArmywormBase and a joint USA and French database (e.g., SPODOBASE or LepidoDB) to house the unified transcriptome in annotated form for public access via the WEB. Most of the effort in year two was toward completion of Aim 2 which involves identifying larval genes whose expression level is influenced by eating foliage from the lepidopteran resistant corn inbred line Mp708. A manuscript is in preparation to report results of an experiment conducted in year one that used additional support from The Huck Institutes of the Life Sciences at Penn State in performing SOLiD RNA-seq to determine gene transcript expression profiles for midguts from corn strain larvae fed whorl tissue from susceptible Tx601 or resistant Mp708 maize inbreds. A second more extensive mRNA-seq experiment was completed. This experiment resulted in transcriptome sequences from tissues of corn and rice strain larvae (described above), data for testing differential expression due to plant host strain, host plant (foliage from Bermuda grass, susceptible Tx601 maize, or resistant Mp708 maize) fed to the larvae or their interaction, and data for differentiating sequence differences between the plant host strains. Posters presented at scientific meetings: 1) SOLiD RNA-Seq Reveals Differences in Midgut Expression Profiles Between Larvae that Ate Resistant of Susceptible Corn Foliage, H.W. Fescemyer, G.V. Sandoya, J.C. Vera, J.H. Marden and D.S. Luthe, Bioinformatics and Genomics Retreat, September 16-17, 2011, University Park, PA; 2) Gene Expression Profiles Underlying the Dynamics of Insect-Plant Interactions and Life-History Variation, H.W. Fescemyer, J.H. Marden and D.S. Luthe, Cornell Symposium on Lepidopteran Biology, October 11, 2011, Ithaca, NY. PARTICIPANTS: INDIVIDUALS AT PENN STATE: Dawn S. Luthe is the PD who directed the project and provided laboratory and greenhouse facilities. German V. Sandoya and Torrence A. Gill are postdocs in the Luthe Lab who contributed qPCR data. James H. Marden is a coPD who provided laboratory facilities and consultation on statistical analysis of SOLiD mRNA-Seq expression profile data. J. Cristobal Vera is a student in the Marden Lab who contributed to reference assembly and annotation. Howard W. Fescemyer is a coPD who performed all technical components, statistically analyzed project data, prepared project results for all presentations given, mainatains a collaboration with French scientists at INRA and Genoscope, and presented project results at the Bioinformatics and Genomics Retreat in September 2011 and the Cornell Symposium on Lepidopteran Biology in October 2011. INDIVIDUALS AT INRA AND GENOSCOPE: Philippe Fournier is unit director of the Unite de Biologie Integrative et Virologie des Insectes at INRA -- Universite Montpellier II. He is our primary collaboartor and liaison with Genoscope and other INRA scientists. Emmanuella d'Alencon is a research molecular biologists in the Unite de Biologie Integrative et Virologie des Insectes at INRA -- Universite Montpellier II. She is working on the transcriptome and genome sequencing of FAW. Fabrice Legeai is a research bioinformatician in the UMR Biologie des Organismes et des Populations Appliquees a la Protection des Plantes at INRA Rennes AgroCampus. He is working with H.W. Fescemyer and E. d'Alencon to assemble and annotate the transcriptome and genome of the FAW. Jean Weissenbach is the Director of Genoscope where sequencing of the FAW genome is being performed. TARGET AUDIENCES: Research scientists in industry (e.g., agricultural biotechnology companies), academics (e.g., land grant colleges and universities), and government (e.g., USDA ARS) are the primary target audiences for knowledge coming from this project. Aim3 is to deliver ArmywormBase as a WEB-accessible transcriptome database for public access to all sequencing data generated by this project. We have begun constructing ArmywormBase using the software and HTML code framework of CinxiaBase. ArmywormBase will specifically house assembled and annotated Illumina sequence generated in the USA by us from various larval tissues. We are collaborating with French INRA and Genoscope colleagues to develop a unified transcriptome generated from USA and French sequence data housed for public access via the WEB on Spodopbase (http://bioweb.ensam.inra.fr/spodobase) or Lepido-DB (http://www.inra.fr/lepidodb). PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
Aim 2 of the project is to identify genes in FAW whose expression level is influenced by eating foliage from lepidopteran resistant corn inbred line Mp708. We completed an experiment in year one that used the SOLiD mRNA-seq platform to compare gene expression profiles in midguts from corn strain larvae that ate susceptible Tx601 or resistant Mp708 corn foliage. In the past, second year, analysis of mRNA-seq read counts mapped against 7869 contigs in the SPODOBASE reference transcriptome was refined by using the Bioconductor packages edgeR for normalization and DESeq for differential expression analysis. This analysis showed normalized transcript accumulation for 100 mapped contigs to be highly significantly greater (P ≤ 0.005) in midguts of larvae fed whorl tissue from the Mp708 maize inbred (Mp708-midgut) compared with that in midguts of larvae fed whorl tissue from the Tx601 inbred (Tx601-midgut). Differential transcript accumulation for 81 of these 100 contigs was 2-fold or more higher in Mp708-midguts compared with Tx601-midguts. These 100 contigs were functionally annotated via Blast against predicted proteins from the genome of Bombyx mori, UniProt, predicted proteins from the genome sequence of Drosophila melanogaster, and the Gene Ontology (GO) database. The annotations were grouped using DAVID Bioinformatics Resources to reveal three groups of functionally related genes upregulated in Mp708-midguts compared with Tx601-midguts; digestive enzymes, protein components of the peritrophic membrane, and innate immunity. These findings were supported by results from separate experiments using reverse-transcription quantitative PCR (qPCR) to measure differential expression of selected target midgut genes (12 from FAW and for comparison, 6 from the European corn borer, Ostrinia nubilalis) in midguts of larvae fed artificial diet, foliage from resistant Mp708 corn or foliage from susceptible Tx601 or B73 corn. A manuscript in preparation is using these mRNA-seq and qPCR findings because they enable us to conclude how midgut tissues respond to the plant treatments. Foliage of caterpillar resistant corn expresses Mir1-CP cysteine protease, which attacks the peritrophic membrane (PM). Midgut genes showing highly significant treatment differences were only found in larvae that ate resistant corn foliage. These genes tended to be upregulated more than 4-fold. Midguts from larvae that ate resistant foliage have an expression profile that suggests they are trying to counteract the action of Mir1-CP. In contrast to the susceptible foliage treatment, these midguts upregulated genes involved in PM repair, protein digestion by PM bound enzymes, and proteins involved in wounding and antimicrobial reactions.

Publications

  • No publications reported this period


Progress 03/15/10 to 03/14/11

Outputs
OUTPUTS: Aim 1 of the project is to sequence and functionally annotate the transcriptome in several tissues and life stages of the fall armyworm, Spodoptera frugiperda. Toward completion of this aim, we developed collaboration with the French International Institute for Agricultural Research (INRA) to share transcriptome sequence data and participate with the French National Sequencing Center (Genoscope) to sequence the genome of fall armyworm. This collaboration provides access to INRA's 454 and Illumina based transcriptome sequence derived from several tissues and life stages of the corn strain, thereby allowing us to focus our Aim 1 efforts on assembly and annotation of this sequence. Aim 2 is to examine the corn host plant strain of fall armyworm for larval genes whose expression level is influenced by eating foliage from the lepidopteran resistant corn inbred line Mp708. Using additional support from The Huck Institutes of the Life Sciences at Penn State, we completed an experiment using the SOLiD RNA-Seq platform to determine gene transcript expression profiles for midguts from corn strain larvae that ate susceptible Tx601 or resistant Mp708 corn foliage. A second more extensive experiment is currently under way. This experiment will use the paired-end Illumina mRNA-Seq platform to determine differences in gene transcript expression profiles in fall armyworm tissues collected from both corn and rice strain larvae that ate foliage from Bermuda grass, susceptible Tx601, or resistant Mp708 corn foliage. Now that RNA extraction is done, we are preparing paired-end cDNA libraries from the isolated RNA for Illimina sequencing. Posters presented at scientific meetings: 1) SOLiD RNA-Seq Reveals Differences in Midgut Expression Profiles Between Larvae that Ate MP708 Resistant or Susceptible Corn Foliage, D.S. Luthe et al., Annual USDA NIFA Project Directors Meeting, December 11-12, San Diego, CA; 2) Transcriptomic Determination of Genes Involved in the Nutritional Ecology of Fall Armyworm Plant Host Strains, D.S. Luthe et al., Fourth Annual Arthropod Genomics Symposium, June 10-13, 2010, Kansas City, MO. Oral presentations given in France: 1) Explorations in Transcriptomics, Functional Genomics, and Bioinformatics with a Butterfly and a Moth, H.W. Fescemyer, The French National Sequencing Center, November 2, 2010; 2) Explorations in Integrative Biology with Butterflies and Agricultural Moth Pests, H.W. Fescemyer, INRA -- Universite Montpellier II, November 3, 2010. Aim3 is to deliver ArmywormBase as a WEB-accessible transcriptome database for public access to all sequencing data generated by this project. We have begun constructing ArmywormBase using the software and HTML code framework of CinxiaBase. ArmywormBase will specifically house assembled and annotated Illumina sequence generated in the USA by us from various larval tissues. We are negotiating with French INRA and Genoscope colleagues as to where a grand transcriptome generated from USA and French sequence data will be housed for public access. PARTICIPANTS: INDIVIDUALS AT PENN STATE: Dawn S. Luthe is the PD who directed the project and provided laboratory and greenhouse facilities. Dr. Luthe also presented project results at the Annual USDA NIFA Project Directors Meeting in December 2010. James H. Marden is a coPD who provided laboratory facilities and consultation on statistical analysis of SOLiD mRNA-Seq expression profile data. Howard W. Fescemyer is a coPD who performed all technical components, statistically analyzed project data, prepared project results for all presentations given, presented project results at the Fourth Annual Arthropod Genomics Symposium in June 2010, and developed collaboration with French scientists at INRA and Genoscope. INDIVIDUALS AT INRA AND GENOSCOPE: Philippe Fournier is unit director of the Unite de Biologie Integrative et Virologie des Insectes at INRA -- Universite Montpellier II. He is our primary collaboartor and liaison with Genoscope and other INRA scientists. Emmanuella d'Alencon is a research molecular biologists in the Unite de Biologie Integrative et Virologie des Insectes at INRA -- Universite Montpellier II. She is working on the transcriptome and genome sequencing of fall armyworm. Fabrice Legeai is a research bioinformatician in the UMR Biologie des Organismes et des Populations Appliquees a la Protection des Plantes at INRA Rennes AgroCampus. He is working with H.W. Fescemyer and E. d'Alencon to assemble and annotate the transcriptome and genome of the fall armyworm. Jean Weissenbach is the Director of Genoscope where sequencing of the fall armyworm genome is being performed. TARGET AUDIENCES: Research scientists in industry (e.g., agricultural biotechnology companies), academics (e.g., land grant colleges and universities), and government (e.g., USDA ARS) are the primary target audiences for knowledge coming from this project. Aim3 is to deliver ArmywormBase as a WEB-accessible transcriptome database for public access to all sequencing data generated by this project. We have begun constructing ArmywormBase using the software and HTML code framework of CinxiaBase. ArmywormBase will specifically house assembled and annotated Illumina sequence generated in the USA by us from various larval tissues. We are negotiating with French INRA and Genoscope colleagues as to where a grand transcriptome generated from USA and French sequence data will be housed for public access. Possibilities are Spodopbase (http://bioweb.ensam.inra.fr/spodobase), Lepido-DB (http://www.inra.fr/lepidodb), or InsectaCentral (http://insectacentral.org). PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
Aim 2 of the project is to identify genes in fall armyworm whose expression level is influenced by eating foliage from lepidopteran resistant corn inbred line Mp708. Using additional support from The Huck Institutes of the Life Sciences at Penn State, we completed an experiment using the SOLiD RNA-Seq platform to compare gene expression profiles in midguts from corn strain larvae that ate susceptible Tx601 or resistant Mp708 corn foliage. Larvae of the corn host plant strain were fed throughout development on susceptible or resistant corn foliage. Midgut minus food bolus was dissected from last instar feeding phase larvae. Total RNA was isolated from individual midguts and pooled into 3 replicates per plant treatment. We prepared six uniquely tagged cDNA libraries from mRNA. All libraries were pooled and sequenced in one full SOLiD run. The unique tags enabled sorting of sequence reads obtained by replicate and plant treatment. Reads were filtered to remove any with a base whose quality is greater than 95% accuracy. A reference was prepared using Sanger ESTs from Spodobase. We assembled these ESTs into a reference of 7869 contigs and annotated them against UniProt with our own PipeMeta. High quality SOLiD reads were mapped against these reference contigs with NextGENe. Normalized, RPKM expression level was quantified and used in t-tests. A volcano plot was prepared using data on all contigs to which reads had mapped. This plot enabled us to resolve contigs showing very highly significant differences in expression level with respect to plant treatment. It also enabled us to detect whether expression level was higher when larvae ate susceptible or resistant corn foliage. The orthogonal annotations linked each contig to a functional gene, thereby allowing us to derive conclusions about how midgut tissues responded to the plant treatments. Foliage of caterpillar resistant corn expresses Mir1-CP cysteine protease, which attacks the peritrophic membrane (PM). Midgut genes showing highly significant treatment differences were only found in larvae that ate resistant corn foliage. These genes tended to be upregulated more than 4-fold. Midguts from larvae that ate resistant foliage have an expression profile that suggests they are trying to counteract the action of Mir1-CP. In contrast to the susceptible foliage treatment, these midguts upregulated genes probably involved in PM repair, protein digestion by PM bound enzymes, wounding and antimicrobial reactions, protein translation, and hydrolytic defense targeting Mir1-CP. We used quantitative real time PCR to verify that intestinal mucin and chitin deaceytlase 1 are genes highly upregulated only in midguts from larvae that ate resistant foliage. Both genes are likely involved in repair of the PM, thereby lending support to the hypothesis that mucins in the PM are a target of the Mir1-CP cysteine protease. These results ascertain efficacy of RNA-Seq with SOLiD next generation sequencing in transcriptome expression profiling to discover with limited genomic resources how a broad group of genes in a caterpillar respond to detrimental nutritional effect of eating resistant corn foliage.

Publications

  • No publications reported this period