2021 Publications
Adak, A., Murray, S. C., Anderson, S. L., Popescu, S. C., Malambo, L., Romay, M. C., & Leon, N. (2021). Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize. The Plant Genome, 14(2). https://doi.org/10.1002/tpg2.20102
Adams, S., & Carré, I. A. (2021). Chromatin Immunoprecipitation Protocol for Circadian Clock Proteins. In D. Staiger, S. Davis, & A. M. Davis (Eds.), Plant Circadian Networks (Vol. 2398, pp. 135–150). Springer US. https://doi.org/10.1007/978-1-0716-1912-4_12
Alamo, M. A. (2021). Impact of climate change on local tree species richness in Mexico [PhD Thesis]. Queens College.
Alex Mason, G., Cantó-Pastor, A., Brady, S. M., & Provart, N. J. (2021). Bioinformatic Tools in Arabidopsis Research. In J. J. Sanchez-Serrano & J. Salinas (Eds.), Arabidopsis Protocols (Vol. 2200, pp. 25–89). Springer US. https://doi.org/10.1007/978-1-0716-0880-7_2
Amfar, F., Fitri, L., & Suhartono, S. (2021). Molecular identification of a new isolate of actinobacteria ATIS61 and characterization of the protease activities. Biodiversitas Journal of Biological Diversity, 22(3).
Anderson, N., & Wilch, M. (2021). Online Instruction – Bioinformatics Lesson for a COVID-19 Vaccine. The American Biology Teacher, 83(7), 464–471. https://doi.org/10.1525/abt.2021.83.7.464
Anwar, Z. (2021). Investigating the Role of Onecut1 in Establishment of Cell-type-Specific Enhancers during Mouse Motor Neuron Differentiation [PhD Thesis]. University of Toronto (Canada).
Balatskyi, V. V., Vaskivskyi, V. O., Myronova, A., Avramets, D., Nahia, K. A., Macewicz, L. L., Ruban, T. P., Kucherenko, D. Yu., Soldatkin, O. O., Lushnikova, I. V., Skibo, G. G., Winata, C. L., Dobrzyn, P., & Piven, O. O. (2021). Cardiac-specific β-catenin deletion dysregulates energetic metabolism and mitochondrial function in perinatal cardiomyocytes. Mitochondrion, 60, 59–69. https://doi.org/10.1016/j.mito.2021.07.005
Barakhshan, P., & Eigenmann, R. (2021). Exchanging Best Practices and Tools for Supporting Computational and Data-Intensive Research, The Xpert Network. ArXiv:2102.09373 [Cs]. http://arxiv.org/abs/2102.09373
Barbosa, R. de S., Pereira, G. F. M., Ribeiro, S. S., Hage, A. L. F., Costa, G. F., Salomão, R. P., & Schwartz, G. (2021). Key species selection for forest restoration after bauxite mining in the Eastern Amazon. Ecological Engineering, 162, 106190. https://doi.org/10.1016/j.ecoleng.2021.106190
Barker, R., Lombardino, J., Rasmussen, K., & Gilroy, S. (2021). Transcriptome: A Discovery Environment to Explore Multiple Plant Biology Spaceflight Experiments. Higher Plants, Algae and Cyanobacteria in Space Environments.
Baseggio, M., Murray, M., Wu, D., Ziegler, G., Kaczmar, N., Chamness, J., Hamilton, J. P., Buell, C. R., Vatamaniuk, O. K., Buckler, E. S., Smith, M. E., Baxter, I., Tracy, W. F., & Gore, M. A. (2021a). Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels [Preprint]. Genetics. https://doi.org/10.1101/2021.02.19.432009
Baseggio, M., Murray, M., Wu, D., Ziegler, G., Kaczmar, N., Chamness, J., Hamilton, J. P., Buell, C. R., Vatamaniuk, O. K., Buckler, E. S., Smith, M. E., Baxter, I., Tracy, W. F., & Gore, M. A. (2021b). Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels. G3 Genes|Genomes|Genetics, 11(8), jkab186. https://doi.org/10.1093/g3journal/jkab186
Bearss, J. J., Padi, S. K., Singh, N., Cardo‐Vila, M., Song, J. H., Mouneimne, G., Fernandes, N., Li, Y., Harter, M. R., Gard, J. M., Cress, A. E., Peti, W., Nelson, A. D., Buchan, J. R., Kraft, A. S., & Okumura, K. (2021). EDC3 phosphorylation regulates growth and invasion through controlling P‐body formation and dynamics. EMBO Reports, 22(4). https://doi.org/10.15252/embr.202050835
Beck, M. A., Liu, C.-Y., Bidinosti, C. P., Henry, C. J., Godee, C. M., & Ajmani, M. (2021a). An extensive lab-and field-image dataset of crops and weeds for computer vision tasks in agriculture.
Beck, M. A., Liu, C.-Y., Bidinosti, C. P., Henry, C. J., Godee, C. M., & Ajmani, M. (2021b). Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture. ArXiv:2108.05789 [Cs]. http://arxiv.org/abs/2108.05789
Bedre, R., Avila, C., & Mandadi, K. (2021). HTSQualC is a flexible and one-step quality control software for high-throughput sequencing data analysis. Scientific Reports, 11(1), 18725. https://doi.org/10.1038/s41598-021-98124-3
Bellas, C. M., & Sommaruga, R. (2021). Polinton-like viruses are abundant in aquatic ecosystems. Microbiome, 9(1), 13. https://doi.org/10.1186/s40168-020-00956-0
Bello, A., Mukhtar, F. B., & Muellner-Riehl, A. N. (2021). Diversity and Distribution of Nigerian Legumes (Fabaceae). Phytotaxa, 480(2), 103–124.
Bendaoud, F., Kim, G., Larose, H., Westwood, J., Zermane, N., & Haak, D. (2021). GBS analysis of Orobanche crenata populations in Algeria supports local adaptation and host-specialization [Preprint]. Preprints. https://doi.org/10.22541/au.163245464.46250620/v1
Blais, B. R., Smith, B. E., Placyk, J. S., Casper, G. S., & Spellman, G. M. (2021). Phylogeography of the smooth greensnake, Opheodrys vernalis (Squamata: Colubridae): divergent lineages and variable demographics in a widely distributed yet enigmatic species. Biological Journal of the Linnean Society, blab124. https://doi.org/10.1093/biolinnean/blab124
Boopathi, N. M., & Raveendran, M. (2021). Molecular Markers and DNA Barcoding in Moringa. In N. M. Boopathi, M. Raveendran, & C. Kole (Eds.), The Moringa Genome (pp. 85–100). Springer International Publishing. https://doi.org/10.1007/978-3-030-80956-0_9
Brandies, P. A., & Hogg, C. J. (2021). Ten simple rules for getting started with command-line bioinformatics. PLOS Computational Biology, 17(2), e1008645. https://doi.org/10.1371/journal.pcbi.1008645
Brzozowski, L. J., Hu, H., Campbell, M. T., Broeckling, C. D., Caffe, M., Gutiérrez, L., Smith, K. P., Sorrells, M. E., Gore, M. A., & Jannink, J.-L. (2021). Selection for seed size has uneven effects on specialized metabolite abundance in oat ( Avena sativa L.). G3 Genes|Genomes|Genetics, jkab419. https://doi.org/10.1093/g3journal/jkab419
Butina, T. V., Bukin, Y. S., Petrushin, I. S., Tupikin, A. E., Kabilov, M. R., & Belikov, S. I. (2021). Extended Evaluation of Viral Diversity in Lake Baikal through Metagenomics. Microorganisms, 9(4), 760. https://doi.org/10.3390/microorganisms9040760
Campbell, M. T., Hu, H., Yeats, T. H., Caffe-Treml, M., Gutiérrez, L., Smith, K. P., Sorrells, M. E., Gore, M. A., & Jannink, J.-L. (2021). Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat ( Avena sativa L.). Genetics, 217(3), iyaa043. https://doi.org/10.1093/genetics/iyaa043
Chen, Y., Wang, Y., Paez-Espino, D., Polz, M. F., & Zhang, T. (2021). Prokaryotic viruses impact functional microorganisms in nutrient removal and carbon cycle in wastewater treatment plants. Nature Communications, 12(1), 5398. https://doi.org/10.1038/s41467-021-25678-1
Cheng, Z., Rowland, S. D., Czarnecki, K., Zumstein, K., Nakayama, H., & Sinha, N. R. (2021). Analysis of Classic Tomato Mutants Reveals Influence of Leaf Vein Density on Fruit BRIX [Preprint]. Plant Biology. https://doi.org/10.1101/2021.03.01.433399
Cherednichenko, O., & Gavrilova, T. (2021). Vascular plant occurrences in grasslands of Central Forest Nature Reserve (Russia): A dataset. Biodiversity Data Journal, 9, e76806. https://doi.org/10.3897/BDJ.9.e76806
Cho, K. T. (2021). Discovering relationships between genotype and phenotype: Machine learning approaches. Iowa State University.
Conti, M., Nimis, P. L., & Martellos, S. (2021). Match Algorithms for Scientific Names in FlorItaly, the Portal to the Flora of Italy. Plants, 10(5), 974. https://doi.org/10.3390/plants10050974
Cornell, C. R., Zhang, Y., Van Nostrand, J. D., Wagle, P., Xiao, X., & Zhou, J. (2021). Temporal Changes of Virus-Like Particle Abundance and Metagenomic Comparison of Viral Communities in Cropland and Prairie Soils. MSphere, 6(3). https://doi.org/10.1128/mSphere.01160-20
Cosi, M., Forstedt, J. j., Gonzalez, E., Xu, Z., Peri, S., Tuteja, R., Blumberg, K., Campbell, T., Merchant, N., & Lyons, E. (2021). StarBLAST: A scalable BLAST+ solution for the classroom. Journal of Open Source Education, 4(38), 102. https://doi.org/10.21105/jose.00102
Crispatzu, G., Rehimi, R., Pachano, T., Bleckwehl, T., de la Cruz Molina, S., Xiao, C., Mahabir-Brenner, E., Bazzi, H., & Rada-Iglesias, A. (2021). The chromatin, topological and regulatory properties of pluripotency-associated poised enhancers are conserved in vivo [Preprint]. Molecular Biology. https://doi.org/10.1101/2021.01.18.427085
Davami, F., Adabi, S., Rezaee, A., & Rahmani, A. M. (2021). Fog-based architecture for scheduling multiple workflows with high availability requirement. Computing. https://doi.org/10.1007/s00607-021-00905-1
de Deus Vidal, J., le Roux, P. C., Johnson, S. D., te Beest, M., & Clark, V. R. (2021). Beyond the Tree-Line: The C3-C4 “Grass-Line” Can Track Global Change in the World’s Grassy Mountain Systems. Frontiers in Ecology and Evolution, 9, 760118. https://doi.org/10.3389/fevo.2021.760118
Deligiannakis, A., Giatrakos, N., Kotidis, Y., Samoladas, V., & Simitsis, A. (2021). Extreme-Scale Interactive Cross-Platform Streaming Analytics–The INFORE Approach. Proceedings of the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores, SEA Data 2021, Copenhagen, DenMark, August 20, 7–13. http://pages.cs.aueb.gr/~kotidis/Publications/SEAData2021.pdf
Deshmukh, R., Rana, N., Liu, Y., Zeng, S., Agarwal, G., Sonah, H., Varshney, R., Joshi, T., Patil, G. B., & Nguyen, H. T. (2021). Soybean transporter database: A comprehensive database for identification and exploration of natural variants in soybean transporter genes. Physiologia Plantarum, 171(4), 756–770. https://doi.org/10.1111/ppl.13287
Du, J., Zayed, A. A., Kigerl, K. A., Zane, K., Sullivan, M. B., & Popovich, P. G. (2021). Spinal Cord Injury Changes the Structure and Functional Potential of Gut Bacterial and Viral Communities. MSystems, 6(3). https://doi.org/10.1128/mSystems.01356-20
Ehsani, M. R., Zarei, A., Gupta, H. V., Barnard, K., & Behrangi, A. (2021). Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG. ArXiv:2108.06868 [Cs]. http://arxiv.org/abs/2108.06868
Encyclopedia of Virology. Volume 1 Volume 1. (2021). ELSEVIER ACADEMIC Press. https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2431995
Eshraghi, M., Karunadharma, P. P., Blin, J., Shahani, N., Ricci, E. P., Michel, A., Urban, N. T., Galli, N., Sharma, M., Ramírez-Jarquín, U. N., Florescu, K., Hernandez, J., & Subramaniam, S. (2021). Mutant Huntingtin stalls ribosomes and represses protein synthesis in a cellular model of Huntington disease. Nature Communications, 12(1), 1461. https://doi.org/10.1038/s41467-021-21637-y
Ferdausi, A., Chang, X., & Jones, M. (2021). Transcriptomic analysis for differential expression of genes involved in secondary metabolite production in Narcissus pseudonarcissus field derived bulb and in vitro callus. Industrial Crops and Products, 168, 113615. https://doi.org/10.1016/j.indcrop.2021.113615
Fesenko, I., Shabalina, S. A., Mamaeva, A., Knyazev, A., Glushkevich, A., Lyapina, I., Ziganshin, R., Kovalchuk, S., Kharlampieva, D., Lazarev, V., Taliansky, M., & Koonin, E. V. (2021). A vast pool of lineage-specific microproteins encoded by long non-coding RNAs in plants. Nucleic Acids Research, 49(18), 10328–10346. https://doi.org/10.1093/nar/gkab816
Firrao, G., Scortichini, M., & Pagliari, L. (2021). Orthology-Based Estimate of the Contribution of Horizontal Gene Transfer from Distantly Related Bacteria to the Intraspecific Diversity and Differentiation of Xylella fastidiosa. Pathogens, 10(1), 46. https://doi.org/10.3390/pathogens10010046
Freewoman, J. M., Snape, R., & Cui, F. (2021). Temporal gene regulation by p53 is associated with the rotational setting of its binding sites in nucleosomes. Cell Cycle, 20(8), 792–807. https://doi.org/10.1080/15384101.2021.1904554
Fuchsman, C. A., Carlson, M. C. G., Garcia Prieto, D., Hays, M. D., & Rocap, G. (2021). Cyanophage host‐derived genes reflect contrasting selective pressures with depth in the oxic and anoxic water column of the Eastern Tropical North Pacific. Environmental Microbiology, 23(6), 2782–2800. https://doi.org/10.1111/1462-2920.15219
Gazitúa, M. C., Vik, D. R., Roux, S., Gregory, A. C., Bolduc, B., Widner, B., Mulholland, M. R., Hallam, S. J., Ulloa, O., & Sullivan, M. B. (2021). Potential virus-mediated nitrogen cycling in oxygen-depleted oceanic waters. The ISME Journal, 15(4), 981–998. https://doi.org/10.1038/s41396-020-00825-6
George, S., Agathanggelou, A., Privett, G., Halpin, P., Feline, W., Ash, A., Chote, P., Scott, L., Skuljan, J., Alvino, J., & others. (2021). Phantom Echoes 2: A Five-Eyes SDA Experiment on GEO Proximity Operations. Proc 22nd AMOS Conf.
Geyer, P., Singh, M. M., & Chen, X. (2021). Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning. ArXiv Preprint ArXiv:2108.13836. https://doi.org/10.48550/arXiv.2108.13836
Gillan, J. K., Ponce-Campos, G. E., Swetnam, T. L., Gorlier, A., Heilman, P., & McClaran, M. P. (2021). Innovations to expand drone data collection and analysis for rangeland monitoring [Preprint]. Ecology. https://doi.org/10.1101/2021.02.05.430004
Gu, C., Liang, Y., Li, J., Shao, H., Jiang, Y., Zhou, X., Gao, C., Li, X., Zhang, W., Guo, C., He, H., Wang, H., Sung, Y. Y., Mok, W. J., Wong, L. L., Suttle, C. A., McMinn, A., Tian, J., & Wang, M. (2021). Saline lakes on the Qinghai-Tibet Plateau harbor unique viral assemblages mediating microbial environmental adaption. IScience, 24(12), 103439. https://doi.org/10.1016/j.isci.2021.103439
Gudukbay, G., Gunasekaran, J. R., Feng, Y., Kandemir, M. T., Nekrutenko, A., Das, C. R., Medvedev, P., Gruning, B., Coraor, N., Roach, N., & Afgan, E. (2021). GYAN: Accelerating Bioinformatics Tools in Galaxy with GPU-Aware Computation Mapping. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 194–203. https://doi.org/10.1109/IPDPSW52791.2021.00037
Guo, J., Bolduc, B., Zayed, A. A., Varsani, A., Dominguez-Huerta, G., Delmont, T. O., Pratama, A. A., Gazitúa, M. C., Vik, D., Sullivan, M. B., & Roux, S. (2021). VirSorter2: A multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses. Microbiome, 9(1), 37. https://doi.org/10.1186/s40168-020-00990-y
Gustafsson, L., Granath, G., Nohrstedt, H., Leverkus, A. B., & Johansson, V. (2021). Burn severity and soil chemistry are weak drivers of early vegetation succession following a boreal mega‐fire in a production forest landscape. Journal of Vegetation Science, 32(1). https://doi.org/10.1111/jvs.12966
Gustafsson, L., Johansson, V., Leverkus, A. B., Strengbom, J., Wikberg, S., & Granath, G. (2021). Disturbance interval modulates the starting point for vegetation succession. Wiley Online Library. https://doi.org/10.1002/ecy.3439
Hamad, Z. J., Zeebaree, S. R., & others. (2021). Recourses utilization in a distributed system: A review. International Journal of Science and Business, 5(2), 42–53.
Hancock, D. Y., Fischer, J., Lowe, J. M., Snapp-Childs, W., Pierce, M., Marru, S., Coulter, J. E., Vaughn, M., Beck, B., Merchant, N., Skidmore, E., & Jacobs, G. (2021). Jetstream2: Accelerating cloud computing via Jetstream. Practice and Experience in Advanced Research Computing, 1–8. https://doi.org/10.1145/3437359.3465565
Happel, A.-U., Balle, C., Maust, B. S., Konstantinus, I. N., Gill, K., Bekker, L.-G., Froissart, R., Passmore, J.-A., Karaoz, U., Varsani, A., & Jaspan, H. (2021). Presence and Persistence of Putative Lytic and Temperate Bacteriophages in Vaginal Metagenomes from South African Adolescents. Viruses, 13(12), 2341. https://doi.org/10.3390/v13122341
Harrison, K., Mendoza-Herrera, A., Levy, J. G., & Tamborindeguy, C. (2021). Lasting consequences of psyllid (Bactericera cockerelli L.) infestation on tomato defense, gene expression, and growth. BMC Plant Biology, 21(1), 114. https://doi.org/10.1186/s12870-021-02876-z
Hearnshaw, J., Brandizi, M., Singh, A., Rawlings, C., & Hassani-Pak, K. (2021). Organizing knowledge to enable faster data interpretation in COVID-19 research. F1000Research, 10, 703. https://doi.org/10.12688/f1000research.54071.1
Henningsen, E. C., Omidvar, V., Coletta, R. D., Michno, J.-M., Gilbert, E., Li, F., Miller, M. E., Myers, C. L., Gordon, S. P., Vogel, J. P., Steffenson, B. J., Kianian, S. F., Hirsch, C. D., & Figueroa, M. (2021). Identification of candidate susceptibility genes to Puccinia graminis f. Sp. Tritici in wheat [Preprint]. Plant Biology. https://doi.org/10.1101/2021.01.23.427871
Holmfeldt, K., Nilsson, E., Simone, D., Lopez-Fernandez, M., Wu, X., de Bruijn, I., Lundin, D., Andersson, A. F., Bertilsson, S., & Dopson, M. (2021). The Fennoscandian Shield deep terrestrial virosphere suggests slow motion ‘boom and burst’ cycles. Communications Biology, 4(1), 307. https://doi.org/10.1038/s42003-021-01810-1
Hu, Y., Colantonio, V., Müller, B. S. F., Leach, K. A., Nanni, A., Finegan, C., Wang, B., Baseggio, M., Newton, C. J., Juhl, E. M., Hislop, L., Gonzalez, J. M., Rios, E. F., Hannah, L. C., Swarts, K., Gore, M. A., Hennen-Bierwagen, T. A., Myers, A. M., Settles, A. M., … Resende, M. F. R. (2021). Genome assembly and population genomic analysis provide insights into the evolution of modern sweet corn. Nature Communications, 12(1), 1227. https://doi.org/10.1038/s41467-021-21380-4
Hua, X., Berkowitz, N. D., Willmann, M. R., Yu, X., Lyons, E., & Gregory, B. D. (2021). Global Analysis of RNA-Dependent RNA Polymerase-Dependent Small RNAs Reveals New Substrates and Functions for These Proteins and SGS3 in Arabidopsis. Non-Coding RNA, 7(2), 28. https://doi.org/10.3390/ncrna7020028
Janssen, M., Falcke, H., Kadler, M., Ros, E., Wielgus, M., Akiyama, K., Baloković, M., Blackburn, L., Bouman, K. L., Chael, A., Chan, C., Chatterjee, K., Davelaar, J., Edwards, P. G., Fromm, C. M., Gómez, J. L., Goddi, C., Issaoun, S., Johnson, M. D., … Zhao, S.-S. (2021). Event Horizon Telescope observations of the jet launching and collimation in Centaurus A. Nature Astronomy, 5(10), 1017–1028. https://doi.org/10.1038/s41550-021-01417-w
Jensen, S. E. (2021). Predicting Protein Temperature Adaptation from Prokaryotes to Plants [PhD Thesis]. In ProQuest Dissertations and Theses. https://ezproxy.library.arizona.edu/login?url=https://www.proquest.com/dissertations-theses/predicting-protein-temperature-adaptation/docview/2581488029/se-2?accountid=8360
Joyce, E. M. (2021). Evolution of the northern Australian flora: Role of the Sunda-Sahul Floristic Exchange [PhD Thesis]. James Cook University.
Juneau, S., Olsen, K., Nikutta, R., Jacques, A., & Bailey, S. (2021). Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms. Computing in Science & Engineering, 23(2), 15–25. https://doi.org/10.1109/MCSE.2021.3057097
Kadow, C., Illing, S., Lucio-Eceiza, E. E., Bergemann, M., Ramadoss, M., Sommer, P. S., Kunst, O., Schartner, T., Pankatz, K., Grieger, J., Schuster, M., Richling, A., Thiemann, H., Kirchner, I., Rust, H. W., Ludwig, T., Cubasch, U., & Ulbrich, U. (2021). Introduction to Freva – A Free Evaluation System Framework for Earth System Modeling. Journal of Open Research Software, 9, 13. https://doi.org/10.5334/jors.253
Katiyar, N., Ramadoss, N., Gupta, D., Pakala, S. B., Cooper, K., & Basu, C. (2021). Transcriptomic profiling of Paulownia elongata in response to heat stress. Plant Gene, 28, 100330. https://doi.org/10.1016/j.plgene.2021.100330
Kavas, M., Yıldırım, K., Seçgin, Z., Abdulla, M. F., & Gökdemir, G. (2021). Genome-wide identification of the BURP domain-containing genes in Phaseolus vulgaris. Physiology and Molecular Biology of Plants, 27(9), 1885–1902. https://doi.org/10.1007/s12298-021-01052-9
Ketron, R., Leonard, J., Roachell, B., Patel, R., White, R., Caino-Lores, S., Tan, N., Miles, P., Vahi, K., Deelman, E., Brown, D., & Taufer, M. (2021). A Case Study in Scientific Reproducibility from the Event Horizon Telescope (EHT). 2021 IEEE 17th International Conference on EScience (EScience), 249–250. https://doi.org/10.1109/eScience51609.2021.00045
Kim, Y. (2021). Imagery Acquisition Methods for Root Analysis in Crops under Field Conditions. The Korean Journal of Crop Science, 452–458.
Kocherlakota, P., Rezzolla, L., Falcke, H., Fromm, C. M., Kramer, M., Mizuno, Y., Nathanail, A., Olivares, H., Younsi, Z., Akiyama, K., Alberdi, A., Alef, W., Algaba, J. C., Anantua, R., Asada, K., Azulay, R., Baczko, A.-K., Ball, D., Baloković, M., … EHT Collaboration. (2021). Constraints on black-hole charges with the 2017 EHT observations of M87*. Physical Review D, 103(10), 104047. https://doi.org/10.1103/PhysRevD.103.104047
Komissarov, S., & Porth, O. (2021). Numerical simulations of jets. New Astronomy Reviews, 92, 101610. https://doi.org/10.1016/j.newar.2021.101610
Kranawetter, C., Zeng, S., Joshi, T., & Sumner, L. W. (2021). A Medicago truncatula Metabolite Atlas Enables the Visualization of Differential Accumulation of Metabolites in Root Tissues. Metabolites, 11(4), 238. https://doi.org/10.3390/metabo11040238
Kumar, A., Kumar, R., Shukla, P., & Patel, H. K. (2021). Omics Technologies for Sustainable Agriculture and Global Food Security (Vol II). Springer. https://link.springer.com/content/pdf/10.1007/978-981-16-2956-3.pdf
Kusmec, A. M. (2021). Phenotypic Plasticity and Breeding for Future Climates: Case Studies in Zea mays [PhD Thesis]. In ProQuest Dissertations and Theses. http://ezproxy.library.arizona.edu/login?url=https://www.proquest.com/dissertations-theses/phenotypic-plasticity-breeding-future-climates/docview/2576925279/se-2?accountid=8360
Lama, T., Minyety, R., Navarro, M., & Ward, N. (2021). Biodiversity of Plants in Highly Polluted Areas [Poster]. https://dnabarcoding101.org/files/uploads/0000/ubp/joralemon-2997-poster-NCJNT.pdf
Lee, J.-Y., Song, J., LeBlanc, L., Davis, I., Kim, J., & Beck, S. (2021). Conserved dual-mode gene regulation programs in higher eukaryotes. Nucleic Acids Research, 49(5), 2583–2597. https://doi.org/10.1093/nar/gkab108
Lee, Y.-J., Dai, N., Müller, S. I., Guan, C., Parker, M. J., Fraser, M. E., Walsh, S. E., Sridar, J., Mulholland, A., Nayak, K., Sun, Z., Lin, Y.-C., Comb, D. G., Marks, K., Gonzalez, R., Dowling, D. P., Bandarian, V., Saleh, L., Corrêa, I. R., & Weigele, P. R. (2021). Pathways of thymidine hypermodification. Nucleic Acids Research, gkab781. https://doi.org/10.1093/nar/gkab781
Li, Y., Li, T., Wang, Z., Wang, S., Qin, X., & Liao, Y. (2021). Plastic film mulch changes the microbial community in maize root-associated compartments. Plant and Soil. https://doi.org/10.1007/s11104-021-05060-2
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