Illinois Data Bank Dataset Search Results
Results
published:
2026-05-21
Kim, Sang Yeol; Slattery, Rebecca; Ort, Donald
(2026)
Rubisco activase (Rca) facilitates the release of sugar-phosphate inhibitors at Rubisco catalytic sites during CO2 fixation. Most plant species express two Rca isoforms, the larger Rca-α and the shorter Rca-β, either by alternative splicing from a single gene or expression from separate genes. The mechanism of Rubisco activation by Rca isoforms has been intensively studied in C3 plants. However, the functional role of Rca in C4 plants where Rubisco and Rca are located in a much higher [CO2] compartment is less clear. In this study, we selected four C4 bioenergy grasses and the model C4 grass setaria (Setaria viridis) to investigate the role of Rca in C4 photosynthesis. All five C4 grass species contained two Rca genes, one encoding Rca-α and the other Rca-β, which were positioned closely together in the genomes. A variety of abiotic stress-related motifs were identified in the Rca-α promoter of each grass, and while the Rca-β gene was constantly highly expressed at ambient temperature, Rca-α isoforms were expressed only at high temperature but never surpassed 30% of Rca-β content. The pattern of Rca-α induction on transition to high temperature and reduction on return to ambient temperature was the same in all five C4 grasses. In sorghum (Sorghum bicolor), sugarcane (Saccharum officinarum), and setaria, the induction rate of Rca-α was similar to the recovery rate of photosynthesis and Rubisco activation at high temperature. This association between Rca-α isoform expression and maintenance of Rubisco activation at high temperature suggests that Rca-α has a functional thermo-protective role in carbon fixation in C4 grasses by sustaining Rubisco activation at high temperature.
keywords:
Genomics
published:
2026-05-19
Park, Kiyoul; Quach, Truyen; Clark, Teresa; Kim, Hyojin; Zhang, Tieling; Wang, Mengyuan (Mary); Guo, Ming; Sato, Shirley; Nazarenus, Tara; Blume, Rostislav; Blume, Yaroslav; Zhang, Chi; Moose, Stephen; Swaminathan, Kankshita; Schwender, Jorg; Clemente, Thomas; Cahoon, Edgar
(2026)
Biomass crops engineered to accumulate energy-dense triacylglycerols (TAG or ‘vegetable oils’) in their vegetative tissues have emerged as potential feedstocks to meet the growing demand for renewable diesel and sustainable aviation fuel (SAF). Unlike oil palm and oilseed crops, the current commercial sources of TAG, vegetative tissues, such as leaves and stems, only transiently accumulate TAG. In this report, we used grain (Texas430 or TX430) and sugar-accumulating ‘sweet’ (Ramada) genotypes of sorghum, a high-yielding, environmentally resilient biomass crop, to accumulate TAG in leaves and stems. We initially tested several gene combinations for a ‘push-pull-protect’ strategy. The top TAG-yielding constructs contained five oil transgenes for a sorghum WRINKLED1 transcription factor (‘push’), a Cuphea viscosissima diacylglycerol acyltransferase (DGAT; ‘pull’), a modified sesame oleosin (‘protect’) and two combinations of specialized Cuphea lysophosphatidic acid acyltransferases and medium-chain acyl-acyl carrier protein thioesterases. Though intended to generate oils with medium-chain fatty acids, engineered lines accumulated oleic acid-rich oil to amounts of up to 2.5% DW in leaves and 2.0% DW in stems in the greenhouse, 36-fold and 49-fold increases relative to wild-type (WT) plants, respectively. Under field conditions, the top-performing event accumulated TAG to amount to 5.5% DW in leaves and 3.5% DW in stems, 78-fold and 58-fold increases, respectively, relative to WT TX430. Transcriptomic and fluxomic analyses revealed potential bottlenecks for increased TAG accumulation. Overall, our studies highlight the utility of a lab-to-field pipeline coupled with systems biology studies to deliver high vegetative oil sorghum for SAF and renewable diesel production.
keywords:
Biofuels; Lipids; Sorghum; Sustainable Aviation Fuel; Vegetative Oils
published:
2026-05-19
Williams, Dajanae A.; Davis, Mark A.; Douglass, Sarah A.; Hartman, Jordan H.; Kath, Joseph A.; Palmer, Savanna; Larson, Eric R.
(2026)
Environmental DNA (eDNA) data for mudpuppy (Necturus maculosus) and salamander mussels (Simpsonaias ambigua) collected at stream sites in the Sangamon River watershed of central Illinois, United States from 2024 to 2025, used to optimize environmental DNA sampling for these species over time and space.
keywords:
Illinois; eDNA; mudpuppy; salamander mussel; Necturus maculosus; Simpsonaias ambigua; Sangamon River
published:
2026-05-19
This is species specific scavenger data documented at puma kills in the Santa Cruz Mountains, relating to the manuscript:
Allen, M.L., A.T.L. Allan, R.M. King, B.H. Warner, J.J. Morgan, and C.C. Wilmers. 2026. Scavenger assemblage behavior at puma kills in the Santa Cruz Mountains, California. Ecology and Evolution.
keywords:
Santa Cruz Mountains; Scavenger Assemblage; Community Ecology
published:
2020-12-07
Tian, Yuan; Smith-Bolton, Rachel
(2020)
This page contains the data for the publication "Regulation of growth and cell fate during tissue regeneration by the two SWI/SNF chromatin-remodeling complexes of Drosophila" published in Genetics, 2020
published:
2026-05-18
Thayer, Elizabeth; Brooke, Christopher
(2026)
These are images and associated statistics of A549 cells treated with pIC. They are stained with DAPI for nucleus detection and IRF3.
published:
2026-05-14
Yook, Sangdo; Deewan, Anshu; Ziolkowski, Leah; Lane, Stephan; Tohidifar, Payman; Cheng, Ming-Hsun; Singh, Vijay; Stasiewicz, Matthew Jon; Rao, Christopher; Jin, Yong-Su
(2026)
Yarrowia lipolytica, an oleaginous yeast, shows promise for industrial fermentation due to its robust acetyl-CoA flux and well-developed genetic engineering tools. However, its lack of an active xylose metabolism restricts the conversion of cellulosic sugars to valuable products. To address this, metabolic engineering, and adaptive laboratory evolution (ALE) were applied to the Y. lipolytica PO1f strain, resulting in an efficient xylose-assimilating strain (XEV). Whole-genome sequencing (WGS) of the XEV followed by reverse engineering revealed that the amplification of the heterologous oxidoreductase pathway and a mutation in the GTPase-activating protein gene (YALI0B12100g) might be the primary reasons for improved xylose assimilation in the XEV strain. When a sorghum hydrolysate was used, the XEV strain showed superior xylose consumption and lipid production compared to its parental strain (X123). This study advances our understanding of xylose metabolism in Y. lipolytica and proposes effective metabolic engineering strategies for optimizing lignocellulosic hydrolysates.
keywords:
Hydrolysate; Lipids; Metabolic Engineering
published:
2026-05-14
Bloomer, Caitlin Claire; Adams, Susan; Barnett, Zanethia; Graham, Zackary; Delekta, Emmy; Hayes, David; Loughman, Zachary; MacIntosh, Hugh; Pugh, M. Worth; Reed, Karen; Shoobs, Nathaniel; Taylor, Christopher; Larson, Eric
(2026)
This dataset compiles records of 60 of the largest documented crayfish specimens from multiple institutional collections across North America. It includes standardized measurements of body size (carapace length in millimeters), collection year, and generalized geographic locality, along with institutional identifiers and catalog numbers that enable traceability to physical specimens. By aggregating extreme size records across taxa and regions, the dataset is designed to support analyses of maximum body size limits, geographic patterns in size distribution, and historical collection trends. It may also serve as a reference for comparative morphological studies, validation of specimen records, and future investigations into ecological or physiological constraints on crayfish growth.
keywords:
Crayfish; body size; carapace length; museum collections; geographic distribution; morphometrics
published:
2026-05-08
Stewart, Dalton; Guo, Wenjun; Li, Yalin; Fan, Xinxin; Coppess, Jonathan; Khanna, Madhu; Guest, Jeremy
(2026)
Low carbon fuel policies such as the U.S. Renewable Fuel Standard (RFS), Canada Clean Fuel Regulations (CFR), and California Low Carbon Fuel Standard (LCFS) as well as the 45Z tax credit are intended to reduce greenhouse gas (GHG) emissions from transportation. Cellulosic feedstocks, optimized biorefineries, and favorable farming locations can significantly reduce biofuel carbon intensity (CI). Despite advances in field-to-fuel GHG monitoring and flexibility in resource allocation within biorefineries (e.g., governing net electricity production), rigid CI accounting procedures in current policies may limit CI responsiveness across candidate sites and processing facilities. This work examines a hypothetical biomass-to-sustainable aviation fuel (SAF) pathway using miscanthus and alcohol-to-jet (i) to demonstrate how GHG accounting requirements drive estimates of biofuel CIs and (ii) to explore potential CI and financial implications of scenario-specific life cycle assessment (LCA). Results demonstrate that GHG accounting using the CFR/LCFS can reasonably account for distinct levels of net electricity production by a biorefinery, but only the CFR yields similar CI sensitivity to spatially explicit factors (feedstock CI, grid electricity CI) as scenario-specific LCA: most GHG accounting frameworks do not capture CI variation across candidate sites in the United States. Ultimately, this work demonstrates the importance of LCA methodological specifications in low carbon fuel policies and tax credits.
keywords:
Miscanthus; Policy; Sustainable Aviation Fuel
published:
2026-05-06
Haas, Benjamin; Saif, Faaiza; Doran, Lynn; Burgess, Steven; Long, Stephen
(2026)
Scripts for the manuscript "A fluorescence-based transient expression assay for the analysis of upstream open reading frames in plant" by Haas et al.
Upstream open reading frames (uORFs) are regulatory elements present in the 5′ leaders of mRNA that can significantly impact downstream gene expression in eukaryotes. In crop engineering, editing of uORFs can provide an avenue to upregulate expression of native genes without the need to add persistent transgenic copies. Even with genome- wide methods to identify translated uORFs such as ribosome profiling, their functional characterization depends on validation through reporter gene assays and mutagenesis studies. Current screening methods for plants use luciferases or protoplasts to measure differential gene expression between wild- type and mutated transcript leaders, which requires tissue processing and/or substrate addition. Here, we present a time- and cost- efficient alternative to investigate transcript leaders by co- expression of two fluorescent proteins in Nicotiana benthamiana leaf tissue and test our assay on genes involved in photoprotection, editing of which could provide a pathway to increase CO2 assimilation during sun–shade transitions.
keywords:
Gene Editing; Photosynthesis; Plant Transformation; Transient Expression
published:
2026-05-04
Tan, Shih-I; Ng, I-Son; Zhao, Huimin
(2026)
Biological production of 5‐aminolevulinic acid (5‐ALA) has received growing attentionover theyears.However, thereis the tradeoff between 5‐ALA biosynthesis and cell growth because the fermentation broth will become acidic due to the production of 5‐ALA. To address this limitation, we engineered an acid‐tolerant yeast, Issatchenkia orientalis SD108, for 5‐ALA production. We first discovered that the cell growth rate of I. orientalis SD108 was boosted by 5‐ALA and its endogenous ALA synthetase (ALAS) showed higher activity than those homologs from other yeasts. The titer of 5‐ALA was improved from 28mg/L to 120‐, 150‐, and 300mg/L, by optimizing plasmid design, overexpressing a transporter, and increasing gene copy number, respectively. After redirecting the metabolic flux using the pyruvate decarboxylase (PDC) knockout strain (SD108ΔPDC) and culturing with urea, we increased the titer of 5‐ALA to 510mg/L, a 13‐fold enhancement, proving the importance of the newly identified IoALAS with higher activity and the strategic selection of nitrogen sources for knockout strains. This study demonstrates the acid‐tolerant I. orientalis SD108ΔPDC has a high potential for 5‐ALA production at a large scale in the future.
keywords:
Bioproducts; Gene Editing; Genome Engineering; Metabolic Engineering
published:
2026-04-28
Lee, Jaejin; Villanueva, Paul; Glanville, Kate; VanLoocke, Andy; Yang, Wendy; Kent, Angela; McDaniel, Marshall; Hall, Steven; Howe, Adina
(2026)
Nutrient inputs influence the sustainability of bioenergy crop production through contemporary (shortly after addition) and legacy effects (persisting over years) on microbial nitrogen (N) and carbon cycling, which contribute to greenhouse gas emissions. However, the relative importance of contemporary and legacy effects and how that could vary by crop functional types is poorly understood. Considering its rhizomatous roots and perennial growth, we hypothesized that Miscanthus × giganteus (M×g) would be more sensitive to legacy N fertilization and the historical context of its environment than an annual crop like maize. To test this hypothesis, we examined the effects of legacy and contemporary N inputs on nitrous oxide (N2O) and carbon dioxide (CO2) emissions, as well as key N cycling genes in soils where M×g and maize were grown. A 150-day soil incubation experiment was conducted using soils from a long-term M×g and maize fertility experiment with three historic N fertilization rates (0, 112, and 336 kg N ha−1 year−1) and a contemporary amendment (60 mg N kg−1) with negative control (0 mg N kg−1). We observed significant increases in cumulative N2O emissions in Mxg soils relative to maize soils, particularly at higher legacy fertilization rates, while contemporary N had no significant effect. Bacterial amoA gene abundance, which plays a significant role in nitrification in nutrient-rich soils, also increased with higher legacy fertilization rates in M×g soils but was unaffected by the contemporary N. In maize soils, legacy and contemporary N did not significantly affect N2O emissions, but cumulative CO2 emissions and amoA gene abundance significantly increased. The abundances of norB genes were not significantly influenced by either legacy fertilization or contemporary N amendments in either soil. Our findings demonstrate the greater importance of fertilization history over contemporary N in mediating soil N2O emissions, particularly for perennial bioenergy crops.
keywords:
Carbon; Field Data; Nitrogen; Soil
published:
2026-04-23
Lu, Wenyun; McBride, Matthew; Lee, Won Dong; Xing, Xi; Xu, Xincheng; Li, Xi; Oschmann, Anna; Shen, Yihui; Bartman, Caroline; Rabinowitz, Joshua
(2026)
Orbitrap mass spectrometry in full scan mode enables the simultaneous detection of hundreds of metabolites and their isotope-labeled forms. Yet, sensitivity remains limiting for many metabolites, including low-concentration species, poor ionizers, and low-fractional-abundance isotope-labeled forms in isotope-tracing studies. Here, we explore selected ion monitoring (SIM) as a means of sensitivity enhancement. The analytes of interest are enriched in the orbitrap analyzer by using the quadrupole as a mass filter to select particular ions. In tissue extracts, SIM significantly enhances the detection of ions of low intensity, as indicated by improved signal-to-noise (S/N) ratios and measurement precision. In addition, SIM improves the accuracy of isotope-ratio measurements. SIM, however, must be deployed with care, as excessive accumulation in the orbitrap of similar m/z ions can lead, via space-charge effects, to decreased performance (signal loss, mass shift, and ion coalescence). Ion accumulation can be controlled by adjusting settings including injection time and target ion quantity. Overall, we suggest using a full scan to ensure broad metabolic coverage, in tandem with SIM, for the accurate quantitation of targeted low-intensity ions, and provide methods deploying this approach to enhance metabolome coverage.f
keywords:
Mass Spectrometry; Metabolomics
published:
2026-03-01
Edmonds, Devin A.; Fanomezantsoa, Rebecca E.; Rabibisoa, Nirhy H. C.; Roberts, Sam H.
(2026)
This dataset contains ecological and demographic data for William’s bright‑eyed frog (Boophis williamsi), a critically endangered amphibian restricted to the Ankaratra Massif in Madagascar’s central highlands. Field surveys were conducted between September 2018 – March 2019 and July 2021 across ten 100‑m stream transects to estimate abundance and identify habitat associations for both tadpoles and adult frogs. Data include repeated counts of individuals and associated habitat variables (e.g., canopy cover, substrate type, stream depth, discharge, and temperature). Abundance was estimated using N‑mixture models implemented in R (version 4.3.1) with the ubms package, with separate models for tadpoles and frogs to account for differences in detection probability. The dataset consists of multiple CSV files capturing microhabitat, environmental variables, and raw survey count data (y_frogs.csv and y_tadpoles.csv) and an R script (boophis_abundance.R) used for model fitting. The dataset was compiled for an article accepted in the Herpetological Journal by the British Herpetological Society and is intended to support long‑term monitoring and conservation planning for B. williamsi and other threatened amphibians in Madagascar available at https://doi.org/10.33256/36.2.8797
keywords:
amphibian conservation; biodiversity conservation; detection probability; endangered species; N-mixture model
published:
2026-04-09
Kessler, Ethan; Colatskie, Shelly; Neier, Brittany; Jellen, Benjamin
(2026)
Code and data to replicate analysis of northern copperhead movement and habitat selection in response to anthropogenic linear features in an urban nature park.
keywords:
Road ecology; step selection function; random steps; wildlife movement; habitat selection; radio telemetry; snake
published:
2026-04-17
Kleiman, Diego; Feng, Jiangyan; Xue, Zhengyuan; Shukla, Diwakar
(2026)
This repository contains data and model weights associated with the publication "ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single Sequences". It includes the datasets used for training and evaluating a dynamic contact prediction model, ESMDynamic, as well as a script for conversion and usage.
keywords:
Computational biology; Structural biology; Molecular dynamics; Machine learning; Protein modeling; Bioinformatics; Biophysics; Artificial intelligence
published:
2026-04-15
Singh, Nilmani; Lane, Stephan; Yu, Tianhao; Lu, Jingxia; Ramos, Adrianna; Cui, Haiyang (Ocean); Zhao, Huimin
(2026)
Proteins are the molecular machines of life with numerous applications in energy, health, and sustainability. However, engineering proteins with desired functions for practical applications remains slow, expensive, and specialist-dependent. Here we report a generally applicable platform for autonomous enzyme engineering that integrates machine learning and large language models with biofoundry automation to eliminate the need for human intervention, judgement, and domain expertise. Requiring only an input protein sequence and a quantifiable way to measure fitness, this automated platform can be applied to engineer a wide array of proteins. As a proof of concept, we engineer Arabidopsis thaliana halide methyltransferase (AtHMT) for a 90-foldimprovement in substrate preference and 16-fold improvement in ethyl-transferase activity, along with developing a Yersinia mollaretii phytase (YmPhytase) variant with 26-fold improvement in activity at neutral pH. This is accomplished in four rounds over 4 weeks, while requiring construction and characterization of fewer than 500 variants for each enzyme. This platform for autonomous experimentation paves the way for rapid advancements across diverse industries, from medicine and biotechnology to renewable energy and sustainable chemistry.
keywords:
AI/ML; Automation
published:
2026-04-15
Li, Kaiyuan; Jiang, Congya; Ma, Zewei; Wang, Sheng; Chen, Jing; Chen, Min; Guan, Kaiyu
(2026)
The clumping index (CI) quantifies the spatial distribution of foliage elements and is essential for accurately estimating the plant area index (PAI), canopy radiative transfer, and photosynthesis. Traditionally, the finite-length averaging method (LX), the gap size distribution method (CC), and a combined approach of CC and LX (CLX) have been applied to instruments like TRAC and digital hemispherical photography to estimate CI. However, a comprehensive evaluation of these methods in row crops remains limited, especially regarding the influence of segment size on CI. Meanwhile, digital cameras offer a cost-effective and user-friendly solution for canopy measurements in row crops, yet their application in this context remains underexplored. In this study, we employed a new approach using a 30°-tilted digital camera to estimate CI in corn and soybean fields, applying the LX, CC, and CLX methods. We systematically assessed the performance of these three methods by combining field measurements in real-world fields with simulations using the LESS 3D radiative transfer model. Our results showed that CLX applied to the whole image and 45° segment offered accurate estimation of CI (bias within ±0.1, RMSE < 0.2) and PAI (bias within ±0.4, RMSE < 1) in real-world fields and LESS simulations. The accuracy of the LX method was highly sensitive to segment size, with the best performance observed at the 15° segment (PAI bias within ±0.4). In contrast, the CC method remained stable across different segment sizes, and its performance was generally comparable to that of LX, except at the 15° segment. Across view zenith angles, CI derived from CC generally showed a continuous increase, while those from LX and CLX followed a rising trend at small zenith angles but began to decline at 68°, likely due to an increasing proportion of no-gap segments. Seasonally, LX tended to show decreasing CI during early growth stages but increased as the canopy matured, whereas CC and CLX showed gradually increasing CI before plateauing at peak PAI. The 30°-tilted camera effectively captured CI variations across different angles and growth stages, making it a practical and robust instrument for row crop canopy structure analysis. Applying these CI methods to digital cameras offers a low-cost and accessible CI estimation alternative, improving canopy structure monitoring accuracy in row crops.
keywords:
Modeling
published:
2026-02-18
Ward, Michael; Slayton, Sarah
(2026)
The datasets are associated with a paper "The Windy City rookery: Movement and activity patterns of Black-crowned Night Herons (Nycticorax nycticorax) in a human-dominated landscape" that will soon be published in the journal "Ecology and Evolution". These are data associated with the movements, behaviors, and morphology of black-crowned night herons
keywords:
black-crowned night heron; urban ecology; avian movement
published:
2026-04-14
Chen, Yunzhu; Park, Kiyoul; Jang, Chunhwa; Lee, Jung Woo; Wang, Mengyuan (Mary); Kim, Hyojin; Quach, Truyen; Guo, Minghao; Sonawane, Balasaheb; Gosa, Sanbon; Clemente, Thomas; Leakey, Andrew; Cahoon, Edgar; Lee, DoKyoung
(2026)
Oil sorghum (OS) has been developed by engineering grain (TX430) and sweet (Ramada) genetic backgrounds to accumulate triacylglycerols (TAG) in vegetative tissues as an energy-dense feedstock for sustainable aviation fuel (SAF) and other biofuels. This study evaluated two TX430 OS lines (TxHO-2, TxHO-3) and two Ramada OS lines (RmHO-1, RmHO-2) alongside wild-type (WT) lines in NE and IL over 2 years (2023–2024) to quantify genotype × environment effects on agronomic performance and TAG accumulation. Across four environments, TX430 OS lines showed average TAG concentrations of 15.0 g kg−1 in leaves and 12.8 g kg−1 in stems, approximately 19-fold higher than WT. Ramada OS lines accumulated 26.1 g kg−1 in leaves and 12.3 g kg−1 in stems, approximately 25-fold and 13-fold increases over WT, respectively. OS lines in TX430 exhibited an 18% reduction in biomass (8.4 vs. 9.9 Mg ha−1 for WT), while Ramada OS lines had similar WT biomass (18.3 vs. 19.9 Mg ha−1 for WT). Among TX430 OS lines, TxHO-2 achieved the highest TAG yield (190 kg ha−1), while RmHO-1 led the Ramada lines (335 kg ha−1) due to higher biomass and similar TAG concentration. Enhanced TAG accumulation increased N, P, and K removal in TX430 lines but not in Ramada lines. Structural carbohydrate and ash concentration were unaffected. Overall, results confirm vegetative lipid accumulation as a viable strategy for high-biomass sorghum, supporting its potential as a dual-purpose feedstock for SAF. Future work should focus on minimizing biomass yield penalties and improving nutrient use efficiency in oil sorghum systems.
keywords:
Agronomy; Field Data; Oil Sorghum; Sorghum; Sustainable Aviation Fuel; Vegetative Oils
published:
2025-06-03
Han, Jaeyeong; Ficca, Alyson; Lanzatella, Marissa; Leang, Kanika; Barnum, Matthew; Boudreaux, Jonathan; Schroeder, Nathan
(2025)
This data comprises image files used in the analysis of Analysis of Nematode Ventral Nerve Cords Suggests Multiple Instances of Evolutionary Addition and Loss of Neurons by Han et al. (bioRxiv, 2025: doi: https://doi.org/10.1101/2025.03.20.644414). It is separated into two folders. The first comprise data using DAPI staining to quantify the number of VNC nuclei in diverse nematodes. The second includes dye-filling data of Mononchus aquaticus.
keywords:
C. elegans; Mononchus; neuroanatomy; nematode nervous system; ventral nerve cord; secondary simplification
published:
2026-04-13
Tan, Shi-I; Bhagwat, Sarang; Martin, Teresa; Suthers, Patrick; Tran, Vinh; Tang, Wuying; Fatma, Zia; Maranas, Costas; Guest, Jeremy; Zhao, Huimin
(2026)
Biomanufacturing provides a more sustainable alternative to fossil-based chemical manufacturing. 3-Hydroxypropionic acid (3HP) is a top Department of Energy value-added chemical and precursor to bioplastics, yet cost-effective microbial production remains elusive. Here, we establish the acid-tolerant yeast Issatchenkia orientalis as a robust host for low-pH 3HP biosynthesis. Genome-scale modeling identifies the β-alanine pathway as optimal, offering the highest theoretical yield and lowest oxygen requirement. Thermodynamic analysis confirms its favorability under acidic conditions. Using sequence similarity network analysis, we discover highly active aspartate 1-decarboxylase (PAND), β-alanine-pyruvate aminotransferase (BAPAT), and 3HP dehydrogenase (YDFG), which significantly improve the pathway efficiency. Next, to further elevate the production, pathway optimization through multi-copy PAND integration, byproduct elimination (knockouts of pyruvate decarboxylase and glycerol-3-phosphate dehydrogenase), and reinforcement of aspartate flux by overexpression of pyruvate carboxylase and aspartate amino transferase improves the titer to 29 g/L in shake flasks. Fed-batch fermentation at pH 4 with low-cost corn steep liquor medium further increases the production to 92 g/L with 0.7 g/g yield and 0.55 g/L/h productivity. Techno-economic analysis indicates that such performance could potentially enable a financially viable process for sustainable acrylic acid production. This work establishes I. orientalis as a next-generation platform for cost-effective 3HP production and paves the way toward industrial commercialization.
keywords:
Bioproducts; Metabolic Engineering; Technoeconomic Analysis
published:
2026-04-13
Lopes, Daiane; Hector, Ronald; Singh, Vijay; Jagtap, Sujit; Nichols, Nancy; Rao, Christopher; Skory, Christopher; Slininger, Patricia; Dien, Bruce
(2026)
Rhodotorula toruloides is a red oleaginous yeast with growing commercial interest because of its hardiness and exceptional lipid production capacity. Because it is a basidiomycete yeast with a complex life cycle, many of the classical breeding methods used with ascomycetes are unavailable for strain improvement. However, we have been able to construct polyploid yeast by fusing protoplasts of parents with the same mating type. Fusing of Y-6985 (A2) and Y-48190 (A2), which had been transformed with complementary antibiotic markers, led to the recovery of two diploids and one triploid. The stability of the fusion yeasts was tested by plating them on non-selective medium after several growth cycles under antibiotics and then testing five colonies per strain for nuclear DNA contents using flow cytometry and standard cell cycle analysis: the triploid and one diploid were stable. Fusants inherited their mitochondria from a single parent, which was demonstrated using restriction fragment length polymorphism (RFLP) of mitochondrial DNA. The phenotypic properties of the parents and fusants were compared in glucose fed-batch bioreactor studies and cellulosic sugar batch cultures. The final lipid titers for the fed-batch cultures were 24.9–39.7 g/L with Y-6985 and the diploid and triploid performing the best and worst, respectively. The fusants demonstrated intermediate hardiness for growth on hydrolysate prepared with dilute-acid pretreated switchgrass and were outperformed by Y-48190. Unlike one of the haploid parents, the fusants grew in 70% v/v concentrated hydrolysate. However, they did not grow as fast as the other haploid. In this study, a modernized protoplast fusion method is resurrected a useful tool for strain development in this yeast, which is complementary with other available methods.
keywords:
Genetics; Genome Engineering; Lipids
published:
2026-04-10
Tetlie, Jonathan; Harmon-Threatt, Alexandra
(2026)
Plant species and floral traits shape arthropod communities in restored prairies more than neonicotinoid contamination. Using a manipulated field experiment in an established prairie in Champaign Co., IL, we compared the importance of clothianidin contamination and floral traits on arthropod feeding guild abundances and community structure.
These datasets contain observations of insects and plants collected during all sampling periods throughout the experiment (JT-HT_Insect_Sampling_2022.csv) and combined feeding guild abundances and floral variables by sample (JT-HT_SEM_Data.csv). The columns in the individual observation dataset include: sampling date, plot number, treatment (1 = CLO for Clothianidin; 0 = CONT for Control), flower abundance, order, superfamily, family, genus, species, and assigned feeding guild. There were inconsistencies in insect determinations and taxonomic resolution among the observations. Cells left empty due to undetermined taxonomic resolution are filled with a period.
Additional supporting information—such as seed set, aboveground plant biomass, clothianidin tissue levels, sample design, and proposed structural models—can be found through the publisher. The columns for the combined variables by sample include: Plot #, Plant (USDA plant code), Treatment, Treat (binary variable of treatment required by the R package), Average Seed Set, Plant Dry Weight (in grams), Heads (number of individual flower units), Inflorescences (number of grouped flowering units), Herbivore, Ants, Omnivore, Pollinator, Predator, and Omni. R code for running analyses (SEMs, PERMANOVA) and plot visualization are also provided.
keywords:
Clothianidin; arthropod feeding guilds; structural equation modeling; habitat restoration
published:
2026-04-10
Wilson, Patrick J.; Westphal, Grace; Stewart Merrill, Tara; Cáceres, Carla E.
(2026)
keywords:
Immunity; Zooplankton; fungus; disease; Susceptibility; Australozyma