Source: NORTH CAROLINA STATE UNIV submitted to NRP
BLOCKING WEEDINESS AND FITNESS OF PALMER AMARANTH (AMARANTHUS PALMERI) IN COTTON: NEXT-GENERATION OF MOLECULAR WEED CONTROL
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
1031874
Grant No.
2024-67013-41944
Cumulative Award Amt.
$294,000.00
Proposal No.
2023-07665
Multistate No.
(N/A)
Project Start Date
Sep 1, 2024
Project End Date
Aug 31, 2027
Grant Year
2024
Program Code
[A1811]- AFRI Commodity Board Co-funding Topics
Recipient Organization
NORTH CAROLINA STATE UNIV
(N/A)
RALEIGH,NC 27695
Performing Department
(N/A)
Non Technical Summary
Palmer amaranth (Amaranthus palmeri) is the most serious weed in cotton mainly due to its rapid evolution of resistance to most mechanisms of action (MOA) and massive seed production that make control of its populations challenging. Therefore, there is an urgent need to develop innovative strategies that not only prevent interference with the crop but more importantly that reduce weed population growth. New molecular biology techniques can be incorporated into integrated programs to ensure the long-term viability of weed management strategies. RNAi technology has the potential to generate control solutions that complement existing weed management approaches. Although this technology has been widely investigated to reduce the economic impact of other pests, very limited research has been conducted for weed control which has mainly focused on substitution of herbicides. No work has been done to develop RNAi programs that target growth and fitness traits such as plant height and internode elongation, flowering, and seed dormancy. Genetic and physiological pathways controlling those traits have been widely characterized and are now well known. We also have identified new non-druggable targets that are critical for plant survival and can be used for weed control. Reducing the expression of genes related to those processes with RNAi technology will help reduce the survival, fitness, and seed production of Palmer amaranth escaping herbicide control in cotton fields. We propose: 1) to design RNAi systems to silence target genes in Palmer amaranth, 2) to characterize the effects of those RNAi systems on cotton, and 3) to determine dsRNA stability and persistence when exposed to different potential abiotic and biotic degradation agents. The proposed research will set the bases to regain control of herbicide resistant weeds in cotton while promoting numerous benefits to cotton growers by reducing reliance on herbicides.
Animal Health Component
50%
Research Effort Categories
Basic
40%
Applied
50%
Developmental
10%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
21323001140100%
Knowledge Area
213 - Weeds Affecting Plants;

Subject Of Investigation
2300 - Weeds;

Field Of Science
1140 - Weed science;
Goals / Objectives
1) to design RNAi systems to silence target genes in Palmer amaranth2) to characterize the effect of those RNAi systems on cotton growth3) to determine dsRNA stability and persistence when exposed to different potential abiotic and biotic degradation agents.
Project Methods
Objective 1: To design RNAi systems to silence target genes in Palmer amaranthActivities. We selected genes from pathways related to 1) flowering time, 2) seed dormancy, 3) GA regulation, and 4) plant survival (Table 1). To gain confidence in understanding sequence similarities and genetic redundancy for genes of interest from Palmer amaranth, the genomic and cDNA corresponding to the selected genes will be sequenced from individuals from multiple populations. The Palmer amaranth reference sequence will be downloaded from CoGe (https://genomevolution.org/coge/). The sequence of major crop species will be retrieved from Ensembl Plants (https://plants.ensembl.org/index.html). Multiple sequence alignment and phylogenetic tree analysis will be performed by MEGA X software (Kumar et al. 2018). The sequences of the selected genes will be compared with those of major crop species and other plant species to identify conserved areas that can provide a multispecies effect or non-conserved areas that can provide selectivity.Table 1: List of selected genes for RNAi systems for Palmer amaranth management in cottonPathwayFirst preferenceSecond preferenceFloweringFT (Flowering Locus T)SOC1 (Suppressor of overexpression of Constans 1)Seed dormancyDOG1 (Delay of Germination 1)SnRK2 (SNF1-related protein kinase)GA regulationGA3ox (Gibberellin 3-oxidase)GA2ox (Gibberellin 2-oxidase)Lethal genesFtsHi1, Frd3n/aFoliar applications of dsRNA will be conducted on Palmer amaranth plants with a modified air brush gun testing different droplet sizes and leaf coverage. This will be done to deliver different amounts of the dsRNA to generate a dose-response curve.To evaluate the RNAi effect in Palmer amaranth, the experiment will be performed under greenhouse conditions.Greenhouse activity: Palmer amaranth will be grown in a greenhouse at standard ambient temperature favorable for its growth. The experiment will include dsRNA treated and non-treated controls, will have 6 replications with a single plant per replication, and will be conducted twice. The application of dsRNA for the first preference targets (FT, DOG1, GA3ox) will be performed separately and in combination using a full factorial design. Additionally, a dsRNA designed to reduce expression of PDS in Palmer amaranth will also be used as positive control to confirm dsRNA integrity and absorption during experiment establishment, and a negative control with the surfactant mix without dsRNA will be also included. A dose-response study will be performed with concentrations ranging from 0.1 to 100 µM for each target. The same approach will be used for the lethal genes FtsHi1 and Frd3. These two genes will be studied separately because mortality is the target phenotype. However, they will be tested alone and in combination to see if their combined action favors a synergistic response. Further, to identify the timing of application, we will perform dsRNA applications at different growth stages, namely, cotyledon to 2-leaf stage, 4- to 6-leaf stage, 8- to 10-leaf stage, flowering, and seed production. After application, plants will be monitored weekly to determine plant height and width, internode length, number of days to flowering, seed number, and seed weight. Seed germinability will be determined before and after stratification to quantify dormancy, and non-germinated seeds will be analyzed to determine viability. The results will be further validated by checking the expression of genes by qRT-PCR in different parts of the plant.Objective 2: To characterize the effect of RNAi systems on cotton growth. ? Glufosinate resistant cotton plants will be treated with the optimum doses of the different dsRNA constructs and at the respective stages to reduce the fitness of Palmer amaranth based on the previous objective. This study will be conducted under greenhouse conditions. Cotton will be treated with single dsRNA targets including the lethal genes and with the integrated sequential program (GA, followed by flowering+seed dormancy inhibitors). Height, biomass, leaf number and area, branching architecture, flowering time, flower number, square number, boll number, open boll number, and fiber and cottonseed yield and germinability will be evaluated. The experiment will be a completely randomized design with 6 replications of a single plant, and it will be conducted twice. A dsRNA will also be designed to target the bar gene (causal gene for glufosinate resistance); this will serve as positive control for this experiment. In case of negative results, plants will be treated with glufosinate to determine whether the lack of response was due to the construct used or limited uptake of the construct. The survival and injury after glufosinate application of nontreated (negative control) plants will be compared with bar dsRNA treated plants. Additionally, qRT-PCR experiments will be performed from tissues from root, shoot, internode and stem to check whether there is an impact on cotton or not for each construct.Objective 3: Determine dsRNA stability and persistence when exposed to different potential abiotic and biotic degradation agents Off-target negative effects of molecules used for pest control is a major concern (Dubelman et al. 2014; Albright et al. 2017). Despite the existence of multiple forms of RNA in all organisms and in the environment, understanding the persistence of dsRNA can help anticipate potential off-target effects. Stable molecules that are highly persistence in the environment are more likely to affect other organisms than those that are quickly degraded. The main mechanisms for degradation of pesticides and organic molecules are UV light and microbial activity (via enzymes) (Albright et al. 2017). Researchers reported that 90% dsRNA dissipated in 35 to 96 hours in microcosms with sterile water and water from ponds, and dissipation was considerably faster in sediments (Fischer et al. 2017).Activities: We will conduct a series of laboratory experiments to evaluate the stability of the dsRNA constructs used in the previous experiments. Aliquots of dsRNA solutions with biologically active concentrations based on the dose-response studies, will be added to sterile aqueous solutions with pH from 4 to 9. Also, dsRNA will be maintained under white light and UV light at ambient intensities. To evaluate not only chemical but also biological factors, dsRNA will be added to aqueous extracts of from soil types of representative agricultural areas, crop systems, and non-agricultural land from North Carolina based on the methodology used by Fischer et al. (2017). We will sample a larger number of conditions compared with published research including 1) soil types: mock, sandy, loam, and clay soils, 2) crop systems: row crop rotations including cotton, sweet potato, wheat, and pastures systems, 3) aquatic systems: natural lakes, large artificial reservoirs, urban ponds, rivers, and marsh systems. Samples will be split, and one half will be autoclaved to quantify the role of living microbial communities on dsRNA dissipation. For soil samples, extracts will be obtained by adding soil samples to water in beakers and maintaining them in a shaker for 48 hours. An aliquot of the dsRNA constructs will be added to each beaker. After that, samples will be allowed to settle and decanted. Subsamples will be collected periodically 6 hour-intervals from each original condition and sediment and liquid phases for analyzes using specific primers and qtPCR. If needed, PCR will be conducted, and samples run on an agarose gel to visualize dsRNA degradation and identify potential cross amplification with microbial RNA. This approach will allow creating time dependent dissipation curves (Fischer et al. 2017; Albright et al. 2017).?

Progress 09/01/24 to 08/31/25

Outputs
Target Audience:We had meetings with agricultural and scientific organizations interested in the RNAi technology for weed control in different cropping systems. For example, we met with the Agronomy Research Director of Cotton Inc., the coordinators ofRNAi technologies at Bayer CropScience and Pest Control solutions at BASF, and two university groups. In those meetings, we exchanged information about the challenges and possible solutions for the use of this technology. All the groups expressed their interested in receiving more information about the progress of the present project. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?A postdoctoral fellow assisted specialized in biotechnology assisted to the NortheasternWeed Science Society Conference to learn about weed control and use that knowledge for designing the RNAi technology. How have the results been disseminated to communities of interest?See comments in "Target audience" section. What do you plan to do during the next reporting period to accomplish the goals?We will be working on optimizing the sequence of the cell penetrating peptide in the buffer solution and the concentration of dsRNA, and this last piece of the RNAi technology will be our focus for the next few months.

Impacts
What was accomplished under these goals? In order to design dsRNA sequences for an RNAi technology, we began with a multiple sequence alignment of the amino acid sequences of the Blast hit genes (Table 1) using ClustalW and the Palmer genes clustered together with the Arabidopsis homologs were identified as candidate target genes. We identified 7 of the 8 proposed target genes, and cloned all these 7 identified target genes from Palmer amaranth via RT-PCR (Table 1). Two copies of FT, SnRK2, GA3ox2 and FRD3 genes were found in the Palmer amaranth genome, and only one copy was discovered for SOC1, GA3ox1, and FTSHI genes. The sequence identities between these Palmer genes and their Arabidopsis homologs were between 42% and 83% on amino acid sequence level. The DOG1 gene was not identified in any of the three available amaranth genomes studied, which was most likely due to sequencing or annotation flaws of these genomes. Besides these target genes, we have also identified and cloned the PDS gene from Palmer amaranth. Silencing the PDS gene will disrupt the biosynthesis of chlorophyll and the plants will exhibit a bleaching phenotype, thus the PDS gene could be used as a positive control which would make method development easier. In fact, due to this advantage, we have been mainly focusing on the PDS gene during the method development stage currently. Once a robust method is developed, we will shift our focus to silencing the 7 target genes we cloned from Palmer amaranth. Table 1. A summary of target genes cloned from Palmer amaranth. Target genes Pathways Arabidopsis homologs Length Expression patterns in Arabidopsis Candidate genes in Palmer FT Flowering AT1G65480.2 219aa siliques Ap4g185630 Ap4g185980 SOC1 Flowering AT2G45660.1 214aa N/A Ap12g062000* +Ap12g062010* DOG1 Seed dormancy AT5G45830.1 323aa seeds Not identified SnRK2 Seed dormancy AT3G50500.2 AT5G66880.1 369aa Ubiquitous, high in leaves Ap2g130650 Ap3g158460 GA3ox1 GA biosynthesis AT1G15550.1 358aa Ubiquitous, low Ap12g068910 GA2ox2 GA biosynthesis AT1G30040.1 341aa Flowers, siliques Ap11g051790* Ap2g117240* FTSHI1 Lethal AT4G23940.1 946aa Ubiquitous, high in young/immature leaves Ap12g055720* FRD3 Lethal AT3G08040.1 526aa roots Ap10g040060 Ap10g040230 PDS Chlorophyll biosynthesis AT4G14210.1 566aa Ubiquitous, high in leaves Ap15g099370* During literature review, we found that published protocols generally consisted of 4 parts, including pretreatment, which prepares leaves for treatment; application method, which is the way of applying dsRNA; buffer solution, which are constituents facilitating the application of dsRNAs; and the dsRNA itself, which induces RNA silencing. We have done 25 rounds of experiments (summarized in Table 2) on amaranth and tobacco plants, and reevaluated the most popular choices for each of the 4 parts. Tobacco was included in the experiment because of the robust genetic tools and abundant genetic information available to this model species, which made it much easier to test some of our ideas. Table 2. A summary of dsRNA application experiments on Palmer amaranth and tobacco. Total number of experiments plants Target genes Pre-treatment application method Buffer solution dsRNA 17 Palmer amaranth PDS Silwet, silicon carbide treatment hand drop, infiltration Silwet L77, (NH4)2SO4, mannitol, MES Long dsRNA 8 tobacco PDS Silicon carbide treatment hand drop, infiltration Silwet L77, (NH4)2SO4, mannitol, MES, cell penetrating peptide Long dsRNA Diced dsRNA For the pre-treatment step, we found that the silicon carbide treatment was better than the Silwet L77 conditioning treatment for Palmer amaranth. Silicon carbide is a kind of abrasive, which could be used to make sand papers, so the silicon carbide treatment is essentially a gentle version of sanding. This suggested that the silicon carbide treatment probably damaged the cuticle (maybe even the cell wall) of amaranth leaves and allowed chemicals to penetrate. On the other hand, the Silwet L77 preconditioning didn'tto facilitate the penetration of ammonium sulfate into plant tissues efficiently, because only 33% (5/15 tested leaves, Figure 2) of leaves treated with Silwet L77 and ammonium sulfate exhibited some minor chemical burn damage. Since ammonium sulfate is a much smaller compound than the dsRNA molecules, it is extremely unlikely for the dsRNAs applied on leaf surface to get into plant cells without the cuticle being damaged. Other researchers also found that wounding of tissue was critical for RNA uptake through leaf surface application. Although the silicon carbide treatment is an efficient way to help topically applied chemicals penetrate into leaf tissues, when applied to tobacco, the treatment caused serious bruise (data not shown), which made it unsuitable for tobacco. Therefore, we used a different method to deliver dsRNA for tobacco. For application method, we found that infiltration is a reliable and easy method to inject the liquid solution into the apoplast space and cross the cuticle and cell wall, especially for tobacco. However, directly injecting the dsRNA solutions into tobacco leaves didn't induce the silencing of PDS gene (0/8 treated). This suggested that the even the dsRNA molecules successfully crossed the barriers of cuticle and cell wall, the last barrier, cell membrane, is able to stop the dsRNAs from further penetrating into the cytoplasm. Thus, we have uncovered this critical barrier which is largely neglected in previous researches. On the other hand, for Palmer amaranth, the cuticle is very thick and it is like a plastic layer wrapping around the leaves, which made it extremely difficult to do infiltration. Thus, a hand drop method was chosen for Palmer amaranth. For the buffer solution, we need to engineer an enabling mechanism for the dsRNA molecules to cross the cell membrane. Considering the biosafety, feasibility, price and our familiarity with the technology, we think cell penetrating peptides are our best choice. Cell penetrating peptides are small peptides that can carry cargos like protein, nucleotides and small molecules through the cell membrane. We have chosen the synthetic peptide KH9-Bp100 and Bp100-KH9 to test the efficiency of this method. These synthetic peptides contain a cell penetrating domain (Bp100, KKLFKKILKYL) and a RNA binding domain (KH9, KHKHKHKHKHKHKHKHKH), and they were shown to be able to carry siRNAs into plant cytoplasm across cell membrane previously. The last component of this technology are the dsRNA molecules which induce RNAi. We chose to synthesize the long dsRNAs first with the MEGAscript RNAi kit (Life Technologies), then these long dsRNAs were digested with a dicer-like enzyme from E.coli (ShortCut RNase III from NEB), generating small diced dsRNAs which were about 21 bp in size. Our approach combined the benefits of both long dsRNAs and siRNAs, which were lower costs, higher RNAi efficiencies and more permeable to plant cells. Taken together, our results suggest that for tobacco, the best combination of the 4 constituting parts of the RNAi technology is: no pretreatment, plus infiltration as the application method, plus cell penetrating peptides in the buffer solution, plus diced dsRNA molecules. For Palmer amaranth, the best combination is silicon carbide pretreatment, plus hand dropping as the application method, plus cell penetrating peptides in the buffer solution, plus diced dsRNA.

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