Source: TEXAS A&M UNIVERSITY submitted to NRP
MICRO-MANAGEMENT: IDENTIFYING CROP-PROTECTIVE MICROBIOTA FOR ENHANCED PLANT RESISTANCE TO INSECT PESTS
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
1030823
Grant No.
2023-67011-40405
Cumulative Award Amt.
$120,000.00
Proposal No.
2022-11429
Multistate No.
(N/A)
Project Start Date
Jun 1, 2023
Project End Date
May 31, 2026
Grant Year
2023
Program Code
[A7101]- AFRI Predoctoral Fellowships
Recipient Organization
TEXAS A&M UNIVERSITY
750 AGRONOMY RD STE 2701
COLLEGE STATION,TX 77843-0001
Performing Department
(N/A)
Non Technical Summary
Increased agricultural pest pressure and heightened demands for reducing reliance on chemical controls necessitates finding alternative sustainable pest management strategies. Naturally occurring soil-dwelling microorganisms can boost agricultural crop resistance to environmental stress, including insect pests, but harnessing microorganisms for improved crop production remains challenging. This project aims to characterize crop-protective microorganisms from different soil types in order to strengthen crop resistance. Specifically, the project will evaluate the role of microorganisms in corn and cotton resistance to a challenging insect pest, fall armyworm (Spodoptera frugiperda). Fall armyworm is currently devastating corn and cotton production across the globe. In the United States, fall armyworm persists as a significant agricultural pest with few tools to combat its spread, calling for innovative control approaches. Utilizing naturally occurring microorganisms to bolster corn and cotton resistance against fall armyworm infestations provides a novel and environmentally friendly strategy for management of this insect pest. To isolate and identify crop-protective microorganisms, soil from fields with different histories of plantings will be collected and DNA from microorganisms will be extracted in the laboratory. Extracted DNA will allow for the identification of microorganisms present in soil samples. The effect of different microorganisms on corn and cotton plants will be evaluated in a greenhouse experiment. Corn and cotton plants will be grown with different microorganisms and then challenged by fall armyworm feeding, assessing changes in crop resistance to insect pests that are dependent on different microorganisms. How fall armyworm feeding alters microorganisms will also be evaluated, determining if corn or cotton plants recruit specific microorganisms to enhance resistance. Ultimately, the goal of this project is to advance insect pest control through the use of naturally occurring microorganisms. Improving sustainable pest management strategies will increase agricultural crop production and reduce reliance on chemical insecticides to control insect pests. Long-term, this project will enhance safety of food and fiber supply across the United States and inspire future generations of agricultural scientists.
Animal Health Component
0%
Research Effort Categories
Basic
100%
Applied
0%
Developmental
0%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
21124991070100%
Goals / Objectives
The over-arching goal for this project is to determine how crop rotation influences corn and cotton microbiota and crop-pest interactions, ultimately leading to the identification of crop-protective microbes and enhancing sustainable insect pest management strategies. To accomplish this over-arching goal, I will pursue three specific research objectives:1) Characterize soil-dwelling microbiota from fields with distinct crop rotation legacies2) Quantify microbiota-mediated crop resistance to insect pests across different soil legacies3) Identify insect-driven changes in microbiota of plants grown in varied soil legacies
Project Methods
Objective 1 Methods: Characterize soil-dwelling microbiota from fields with distinct crop rotation legacies I will collect soil at the USDA-ARS Southern Plains Agricultural Research Center in College Station, TX, from fields with a legacy of consecutive corn or cotton plantings. Microbial DNA will be extracted from soils and sequenced to determine microbial community diversity. Soil collected from different fields will be used for experiments in Objectives 2 & 3. A) Soil collection: Soil will be collected from three distinct USDA fields: 1) consecutive corn field, 2) consecutive cotton field, and 3) crop rotation field. Each field will have a legacy of consecutive planting or crop rotation for at least 5 years prior to soil collection. From each field, the top 10-20 cm of soil will be removed at 10 different locations and sieved to remove rocks and other debris. From each of the 10 locations sampled per field, 250 mg of soil will be set aside for DNA extraction. The remaining soil from the 10 locations will be homogenized per field and stored in sterilized plastic buckets placed on ice during transportation to the greenhouse. In the greenhouse, I will generate two separate soil inoculants for use in Objectives 2 & 3. B) DNA extraction and sequencing: To characterize microbiota, microbial DNA will be isolated from soil samples. DNeasy PowerSoil Pro Kit (Qiagen) will be used to extract microbial DNA. Extracted DNA will be sequenced using MiSeq amplicon sequencing following previously described methods. Samples will be sequenced to characterize the bacterial V4-V5 region of the 16S ribosomal RNA region and the fungal internal transcribed spacer (ITS) region of the rRNA gene. After obtaining the sequencing data, the sequences will be processed using QIIME and further cleaned using MOTHUR following previously described methods to assign operational taxonomic units (OTUs) to bacterial and fungal sequences. Sequences will be normalized using rarefication (to 1,000 sequences) to estimate relative abundance. C) Statistical analyses: Microbial community richness, evenness, and diversity will be analyzed across fields. Dissimilarity across microbial communities will be assessed using non-metric multidimensional scaling (NMDS) ordinations of Bray-Curtis distances. Differences across fields in microbial community diversity will be analyzed using PERMANOVA.Objective 2 Methods: Quantify microbiota-mediated crop resistance to insect pests across different soil legacies A greenhouse experiment will be conducted with corn and cotton plants grown in different microbiota treatments generated by field-collected soil (Objective 1). I will assess plant resistance by measuring fall armyworm (S. frugiperda) mass gain and characterizing plant defensive chemicals. A) Microbiota inoculation: Corn (Z. mays cv. B73) and cotton (G. hirsutum cv. FM966) plants will be grown in the USDA-ARS greenhouse in a mixture of 95% (v/v) sterilized potting soil and 5% (v/v) microbiota inoculant from the field. Potting soil will be sterilized by autoclaving soil three times for 25 min, with 24 hours between sterilizations. Sterilized soil and microbiota inoculant will be mixed by hand in sterile bins for 5 mins prior to planting. Data loggers will also be placed in the soil of each plant to monitor soil temperatures and moisture. B) Insect pest bioassays: After 3 weeks of growth (3-4 true leaves), each plant in the greenhouse will be challenged by a leaf-feeing insect pest, second-instar fall armyworm larvae (purchased from Benzon). Each larva will be pre-weighed and 2 larvae will be caged on the two youngest, fully expanded true leaves of each plant. Larvae will be allowed to feed for 72 hr, then larvae will be removed from each plant and re-weighed to quantify mass gain. C) Crop defensive chemical extraction and quantification: Leaf tissue from each plant challenged by larvae will be flash frozen in liquid nitrogen. One leaf will be used to measure phytohormone concentrations using previously described methods. Briefly, phytohormones will be methylated, collected using vapor-phase extraction, and analyzed using a GC/CI-MS. The other leaf from each plant will be lyophilized and used for defensive chemistry analysis (e.g., cotton--terpenoid aldehydes; corn--benzoxazinoids) using previously described extraction methods and quantification on an HPLC. D) Statistical analyses: Larvae mass gain will be analyzed using a nested-ANOVA to account for non-independence of two larva feeding on the same plant. Defensive chemicals will be analyzed using one-way ANOVAs.Objective 3 Methods: Identify insect-driven changes in microbiota of plants grown in varied soil legacies Soil from all plants used in Objective 2 will be collected to determine how aboveground fall armyworm herbivory alters crop-associated microbiota. A) DNA extraction, sequencing, & statistical analyses: The same methods described above in Objective 1 will be used to extract, sequence, and analyze microbial DNA from each sample. Analyzes will reveal differences in microbial community richness, evenness, and diversity following aboveground fall armyworm herbivory.Efforts used to cause a change in knowledge of target audiencesTarget audiences that are the focus of effort for the duration of the project include 1) undergraduate students mentored in scientific research, and 2) corn and cotton growers. When mentoring undergraduate students, PD Morgan Thompson will strive to teach students new technical skills, advance their professional development, and improve their understanding of core scientific concepts related to the project. PD Thompson approaches work with students as a research collaboration. To empower students to collaborate, PD Thompson will continue to lead the weekly journal club she began with undergraduate mentees this past year. PD Thompson found that when students gained the confidence to express scientific ideas during journal club, students were more likely to speak up and provide unique insights on research in the laboratory. To reach corn and cotton growers, PD Thompson will organize and host 1-2 farms days throughout the duration of the project. Farm days will inform growers about the research findings, offering novel insect pest management strategies. Growers can also provide feedback and insights on the research project at farm days, which may shape the trajectory of the research. As growers are the ultimate practitioners of pest management in agricultural fields, their perspective is highly valuable.How outputs will be evaluated for impact on target audiencesTo evaluate research progress throughout the project, PD Thompson will meet with her mentors, Drs. Helms and Suh, on a weekly basis. Weekly meetings will ensure consistent progress is made on the proposed research, confirming the project is on track for successful completion. Meetings will facilitate experimental troubleshooting, manuscript preparation, and presentation of findings. To monitor undergraduate student mentorship, PD Thompson will share updates on undergraduate student progress in weekly meetings with Dr. Helms. Undergraduate students will be encouraged to publish research findings and present at conferences. To assess extension outputs, Dr. Suh will oversee organization of farm days and connect PD Thompson with local growers. Additionally, findings will be communicated through ResearchGate, LinkedIn, and Twitter.

Progress 06/01/24 to 05/31/25

Outputs
Target Audience:The target audience for this project includes scientists from industry, academia, and government, as well as students, growers, and members of the broader public. My efforts to reach members of the target audience during this reporting period include the following: To disseminate information to scientists, students, and growers, I attended the Entomological Society of America Annual Meetingin November2024 and presented my research findings in a student posterpresentation. My poster presentation was well-attended (~40 attendees) and numerous scientists approached me afterwards to further discuss my findings and offer suggestions for future directions. To reach students and scientists,I shared results from the projectduringan invited seminar presentation in February 2025at the University of California, Riverside in the Department of Entomology. Changes/Problems:During this reporting period, I experienced some challenges when I extracteddefensive metabolites from corn and cotton leaves. I worked with my mentorand we eventually identified a solutionto thischallengeand made good progress on understanding crop resistance to insects and completing Objective 2. What opportunities for training and professional development has the project provided?I received training from collaborators in metagenomic sequencing, analysis, and interpretation. I also expanded mynetwork of research collaborators and received training in advanced multivariate statistical analyses, which I am currently using to analyze the complex datasets generated by this project. Collaborating with other researchers and attending conferences has provided me with important training and professional development opportunities as I expand my scientific network and expertise,ultimately leading to career advancement and employment. How have the results been disseminated to communities of interest?I disseminated results to communities of interest by sharing my findings at the Entomological Society of America Annual Meeting. I also presented an invited seminaron my research to the Department of Entomology at the University of California, Riverside. What do you plan to do during the next reporting period to accomplish the goals?During the next reporting period, I plan to continue working towards the completion of my specific objectives. In particular, I aim to build advanced multivariate statistical models to link microbial community composition to crop growth and resistance towards insect pests. I will communicate research findings to my target audience, which will include delivering an invited guest lecture for a course titled, "Use of semiochemicals in integrated pest management (IPM): from basic research to field application".I also aim to submit andpublisha peer-reviewed paper.

Impacts
What was accomplished under these goals? Impact: The major goal of this project is to determine how crop rotation influences corn and cotton microbiota and crop-pest interactions, ultimately leading to the identification of crop-protective microbes and enhancing sustainable insect pest management strategies. During this reporting period, I completed data collection for each objective and began conducting advanced multivariate statistical analyses. Findings from my research are demonstrating that microbiota from varied crop rotation legacies differentially modulate corn and cotton resistance to insect pests, expanding our knowledge of plant-insect-microbe interactions, host resistance, and sustainable insect management strategies. My work has also begun to characterize specific suites of microbes that correspond to enhanced or weakened plant resistance, which will generate novel tools for microbial control of insect pests. Overall, my research is advancing protection of field crops against insect pests through the environmentally friendly and sustainable approach of harnessing soil-dwelling microbiota. Objective 1: Characterize soil-dwelling microbiota from fields with distinct crop rotation legacies 1. Major activities completed/experiments conducted: During this reporting period, I identified differences in soil microbiota from thesix different agricultural fields where I collectedsoil: two fields with a legacy of consecutive cotton planting, two fields with a legacy of consecutive corn planting, and two fields with a legacy of crop rotation. The soils collected from thesesix fields wereused to generate soil inoculants for Objectives 2 & 3 (below). 2. Data collected: Ianalyzed bacterial and fungal DNA sequences to characterize and compare soil microbiotacomposition among different soil legacies and field locations. 3. Summary statistics and discussion of results: I found legacy- and field-specific differences in soil microbiota. 4. Key outcomes or other accomplishments realized: I determined how to taxonomically identifybacterial and fungal DNA sequences. Based on these taxonomic identifications, I amnow working to finalize my analyses on how specific microbial genera and species differ foreach field location andcrop rotation legacy. Objective 2: Quantify microbiota-mediated crop resistance to insect pests across different soil legacies 1. Major activities completed/experiments conducted: During this reporting period, I extracted plant defensive metabolites from cotton and corn leaves to determine how different microbiota alter the expression of plant antiherbivore defenses. 2. Data collected: I identified and quantified defensive metabolites from cotton and corn leaves using analytical chemistry. 3. Summary statistics and discussion of results: I discovered that introducing soil microbes to cotton plants changedthe profile ofdefensive metabolites produced after insect damage. Multivariate blends of defensive metabolites in microbe-treated plants differentiated from plants growing in sterile soil. 4. Key outcomes or other accomplishments realized: I made substantial progress in quantifying cotton and corn resistance to insect pests when these plants were grown in soil microbiotafrom fields withdifferent crop rotation legacies. I am now working to conduct advanced multivariate statistical analyses to link measures of crop resistance to soilmicrobiota composition. Objective 3: Identify insect-driven changes in microbiota of plants grown in varied soil legacies 1. Major activities completed/experiments conducted: During this reporting period, I assessed how insect pest feeding alterssoil microbiota of corn and cotton plants grown in different soil microbial inoculants. 2. Data collected: Ianalyzed microbial DNA (bacterial, fungal) sequences to understand how insect herbivory alters crop-associated microbiota. 3. Summary statistics and discussion of results: I detected many different bacteria and fungi from varied taxonomic classifications, including unique orders, families, genera, and species, for soils sampled from corn and cotton plants in the greenhouse. I also determined cotton plants growing in microbiota with a legacy of crop rotation recruit more beneficial arbuscular mycorrhizal fungi. 4. Key outcomes or other accomplishments realized: I determined how to taxonomically identifybacterial and fungal DNA sequences. I am now working to characterize insect-induced differences in microbiota for cotton and corn plants and link plant resistance traits to individual microbes and microbial communities.

Publications

  • Type: Conference Papers and Presentations Status: Published Year Published: 2024 Citation: Thompson, Morgan N., Jayda Arriaga, Lindsey C. Perkin, and Anjel M. Helms. 2024. "Crop-associated microbiota differentially regulate corn and cotton resistance to herbivory." Entomological Society of America Annual Meeting. November 2024
  • Type: Other Status: Published Year Published: 2025 Citation: Thompson, Morgan N. 2025. "The chemistry of conflict: How plant defenses against insect herbivory affect ecological communities." University of California, Riverside Department of Entomology Invited Seminar. February 2025.


Progress 06/01/23 to 05/31/24

Outputs
Target Audience:The target audience for this project includes scientists from industry, academia, and government, as well as students, growers, and members of the broader public. My efforts to reach members of the target audience during this reporting period include the following: To disseminate information to scientists, students, and growers, I attended the Beltwide Cotton Conference in January 2024 and presented my research findings in a student oral presentation competition. My presentation was well-attended (~70 attendees) and numerous scientists approached me afterwards to further discuss my findings and offer suggestions for future directions. To reach students, I mentored an undergraduate student in the laboratory, teaching her key concepts related to the project and working with her to extract and sequence soil microbial DNA. I also reached students through invited guest lectures during the spring semesters of 2023 and 2024, where I discussed my research with students in the Texas A&M Department of Plant Pathology & Microbiology. Changes/Problems:During this reporting period, I experienced some challenges in sequencing microbial DNA as the loading concentrations of DNA were initially too high for the instrument. I worked with my research collaborator and we eventually identified the ideal concentrations for DNA sequencing, which allowed us to complete the sequencing for Objectives 1 & 3. What opportunities for training and professional development has the project provided?I mentored an undergraduate student during the microbial DNA extraction and sequencing portion of the project. I taught the student about key concepts and ideas underlying the project, which has inspired this student to continue on for her master's degree in entomology and pursue research opportunities related to insects and microbes. I also received training from collaborators in metagenomic sequencing, analysis, and interpretation. Collaborating with other researchers and attending conferences has provided me with important training and professional development opportunities as I expand my scientific network and expertise. How have the results been disseminated to communities of interest?I disseminated results to communities of interest by sharing my findings at the Beltwide Cotton Conference. I also gave two guest lectures on my research to the Texas A&M Plant Pathology & Microbiology Department. What do you plan to do during the next reporting period to accomplish the goals?During the next reporting period, I plan to finish working on my specific objectives. In particular, I aim to extract and analyze plant defensive metabolites and finish analyzing soil microbes from field and greenhouse samples. I will communicate research findings to my target audience, which will include delivering a poster presentation at the Entomological Society of America Annual Meeting and publishing a peer-reviewed paper.

Impacts
What was accomplished under these goals? Impact: The major goal of this project is to determine how crop rotation influences corn and cotton microbiota and crop-pest interactions, ultimately leading to the identification of crop-protective microbes and enhancing sustainable insect pest management strategies. During this reporting period, I mentored an undergraduate student and completed a greenhouse experiment to address specific objectives for the project. Findings from my research are demonstrating that microbiota from varied crop rotation legacies differentially modulate corn and cotton resistance to insect pests, expanding our knowledge of plant-insect-microbe interactions, host resistance, and sustainable insect management strategies. My work has also begun to characterize specific suites of microbes that correspond to enhanced or weakened plant resistance, which will generate novel tools for microbial control of insect pests. Overall, my research is advancing protection of field crops against insect pests through the environmentally friendly and sustainable approach of harnessing soil-dwelling microbiota. Objective 1: Characterize soil-dwelling microbiota from fields with distinct crop rotation legacies 1. Major activities completed/experiments conducted: During this reporting period, I identified six different agricultural fields for soil collections: two fields with a legacy of consecutive cotton planting, two fields with a legacy of consecutive corn planting, and two fields with a legacy of crop rotation. I worked with growers and other scientists to conduct soil collections at each of the six fields, and I collected multiple soil samples from each field for microbial DNA sequencing. The rest of the soil collected from these six fields was used to generate soil inoculants for Objectives 2 & 3 (below). 2. Data collected: I extracted and sequenced microbial DNA (bacterial, fungal) from soil samples collected at each of the six different agricultural fields. I am now beginning to analyze the DNA sequences to characterize and compare soil microbiota composition among different soil legacies and field locations. 3. Summary statistics and discussion of results: I found legacy- and field-specific differences in soil microbiota. 4. Key outcomes or other accomplishments realized: I determined that the methodology worked for extracting and sequencing both bacterial and fungal DNA from soil samples. I am now working to finalize my analyses of soil microbiota collected from each field and compare microbiota among crop rotation legacies and field locations. Objective 2: Quantify microbiota-mediated crop resistance to insect pests across different soil legacies 1. Major activities completed/experiments conducted: During this reporting period, I conducted a greenhouse experiment with corn and cotton plants. I grew corn and cotton plants in soils containing different microbiota inoculants (inoculants described in Objective 1) and challenged plants to herbivory from fall armyworm (Spodoptera frugiperda) larvae. 2. Data collected: I quantified larvae mass gain and feeding damage on leaves of corn and cotton plants, and I also collected leaf tissues samples to analyze plant defensive metabolites. Additionally, I measured aboveground plant biomass after herbivore challenge. 3. Summary statistics and discussion of results: I discovered that soil microbiota inoculants from any legacy enhanced cotton resistance to fall armyworm herbivory, reducing larvae mass gain relative to larvae feeding on cotton plants grown in sterile soils. However, I found these effects were highly field location-specific, and I also found less consistent patterns for feeding damage and aboveground biomass. For corn plants, microbiota inoculants enhanced corn susceptibility to larvae feeding by weakly increasing larvae mass gain and feeding damage, and microbiota inoculants also appeared to reduce corn growth in the greenhouse. Similar to cotton, I also detected field location specificity in these patterns for corn responses to microbiota from different soil legacies. 4. Key outcomes or other accomplishments realized: I made substantial progress in quantifying cotton and corn resistance to insect pests when these plants were grown in soil microbiota from different crop rotation legacies. I am now working to extract plant defensive metabolites from cotton and corn leaves to determine how different microbiota alter the expression of plant antiherbivore defenses. Objective 3: Identify insect-driven changes in microbiota of plants grown in varied soil legacies 1. Major activities completed/experiments conducted: As described in Objective 2, I conducted a greenhouse experiment with corn and cotton plants. Following insect herbivory, I collected soil samples from each plant in the greenhouse to characterize insect-driven changes in microbiota and examine if these changes depend on the initial soil inoculatant from varied crop rotation legacies. 2. Data collected: I extracted and sequenced microbial DNA (bacterial, fungal) from soil samples collected for each of the 140 plants grown in the greenhouse. I am now beginning to analyze the DNA sequences to understand how insect herbivory alters crop-associated microbiota. 3. Summary statistics and discussion of results: I detected many different bacteria and fungi from varied taxonomic classifications, including unique orders, families, genera, and species, for soils sampled from corn and cotton plants in the greenhouse. 4. Key outcomes or other accomplishments realized: I found that the methodology for sequencing microbial DNA was successful. I am now working to characterize insect-induced differences in microbiota for cotton and corn plants and link plant resistance traits to individual microbes.

Publications

  • Type: Conference Papers and Presentations Status: Published Year Published: 2024 Citation: Thompson, Morgan N., Charles P.-C. Suh, and Anjel M. Helms. 2024. "Soil microbiota modulate crop resistance to fall armyworm (Spodoptera frugiperda) herbivory." Beltwide Cotton Conference. January 2024