Tree Genetics and Molecular Breeding 2024, Vol.14, No.2, 69-80 http://genbreedpublisher.com/index.php/tgmb 78 Erwood S., Bily T., Lequyer J., Yan J., Gulati N., Brewer R., Zhou L., Pelletier L., Ivakine E., and Cohn R., 2021, Saturation variant interpretation using CRISPR prime editing, Nature Biotechnology, 40: 885-895. https://doi.org/10.1038/s41587-021-01201-1 PMid:35190686 Fattel L., Psaroudakis D., Yanarella C., Chiteri K., Dostalik H., Joshi P., Starr D., Vu H., Wimalanathan K., and Lawrence-Dill C., 2021, Standardized genome-wide function prediction enables comparative functional genomics: a new application area for Gene Ontologies in plants, GigaScience, 11: giac023. https://doi.org/10.1093/gigascience/giac023 PMid:35426911 PMCid:PMC9012101 Fitzpatrick M., and Keller S., 2015, Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation, Ecology Letters, 18(1): 1-16. https://doi.org/10.1111/ele.12376 PMid:25270536 Ford K., McDonald D., and Mali P., 2019, Functional genomics via CRISPR-Cas, Journal of Molecular Biology, 431(1): 48-65. https://doi.org/10.1016/j.jmb.2018.06.034 PMid:29959923 PMCid:PMC6309720 Geraldes A., Pang J., Thiessen N., Cezard T., Moore R., Zhao Y., Tam A., Wang S., Friedmann M., Birol I., Jones S., Cronk Q., and Douglas C., 2011, SNP discovery in black cottonwood (Populus trichocarpa) by population transcriptome resequencing, Molecular Ecology Resources, 11: 81-92. https://doi.org/10.1111/j.1755-0998.2010.02960.x PMid:21429165 Gerdes S., Yacoubi B., Bailly M., Blaby I., Blaby-Haas C., Jeanguenin L., Lara-Núñez A., Pribat A., Waller J., Wilke A., Overbeek R., Hanson A., and Crécy-Lagard V., 2011, Synergistic use of plant-prokaryote comparative genomics for functional annotations, BMC Genomics, 12: S2. https://doi.org/10.1186/1471-2164-12-S1-S2 PMid:21810204 PMCid:PMC3223725 Hartenian E., and Doench J., 2015, Genetic screens and functional genomics using CRISPR/Cas9 technology, The FEBS Journal, 282(8): 1383-1393. https://doi.org/10.1111/febs.13248 PMid:25728500 Henry I., Zinkgraf M., Groover A., and Comai L., 2015, A system for dosage-based functional genomics in poplar, Plant Cell, 27: 2370-2383. https://doi.org/10.1105/tpc.15.00349 PMid:26320226 PMCid:PMC4815095 Hilton I., and Gersbach C., 2015, Enabling functional genomics with genome engineering, Genome Research, 25: 1442-1455. https://doi.org/10.1101/gr.190124.115 PMid:26430154 PMCid:PMC4579329 Hsiao T., Revelles O., Chen L., Sauer U., and Vitkup D., 2009, Automatic policing of biochemical annotations using genomic correlations, Nature Chemical Biology, 6: 34-40. https://doi.org/10.1038/nchembio.266 PMid:19935659 PMCid:PMC2935526 Huang D., Sherman B., and Lempicki R., 2008, Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists, Nucleic Acids Research, 37: 1-13. https://doi.org/10.1093/nar/gkn923 PMid:19033363 PMCid:PMC2615629 Joshi C., Bhandari S., Ranjan P., Kalluri U., Liang X., Fujino T., and Samuga A., 2004, Genomics of cellulose biosynthesis in poplars, The New Phytologist, 164(1): 53-61. https://doi.org/10.1111/j.1469-8137.2004.01155.x PMid:33873484 Kemmeren P., Berkum N., Vilo J., Bijma T., Donders R., Brazma A., and Holstege F., 2002, Protein interaction verification and functional annotation by integrated analysis of genome-scale data, Molecular Cell, 9(5): 1133-1143. https://doi.org/10.1016/S1097-2765(02)00531-2 PMid:12049748 Kumar V., Hainaut M., Delhomme N., Mannapperuma C., Immerzeel P., Street N., Henrissat B., and Mellerowicz E., 2019, Poplar carbohydrate‐active enzymes: whole‐genome annotation and functional analyses based on RNA expression data, The Plant Journal, 99: 589-609. https://doi.org/10.1111/tpj.14417 PMid:31111606 PMCid:PMC6852159 Lescot M., Rombauts S., Zhang J., Aubourg S., Máthé C., Jansson S., Rouzé P., and Boerjan W., 2004, Annotation of a 95-kb Populus deltoides genomic sequence reveals a disease resistance gene cluster and novel class I and class II transposable elements, Theoretical and Applied Genetics, 109: 10-22. https://doi.org/10.1007/s00122-004-1621-0 PMid:15085260
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