Tree Genetics and Molecular Breeding 2024, Vol.14, No.2, 43-56 http://genbreedpublisher.com/index.php/tgmb 54 Cortés A., Restrepo-Montoya M., and Bedoya-Canas L.E., 2020, Modern strategies to assess and breed forest tree adaptation to changing climate, Frontiers in Plant Science, 11: 583323. https://doi.org/10.3389/fpls.2020.583323 PMid:33193532 PMCid:PMC7609427 Ejigu G., and Jung J., 2020, Review on the computational genome annotation of sequences obtained by next-generation sequencing, Biology, 9(9): 295. https://doi.org/10.3390/biology9090295 PMid:32962098 PMCid:PMC7565776 Elfstrand M., Baison J., Lundén K., Zhou L., Vos I., Capador H.D., Åslund M.S., Chen Z., Chaudhary R., Olson Å., Wu H.X., Karlsson B., Stenlid J., and García-Gil M.R., 2020, Association genetics identifies a specifically regulated Norway spruce laccase gene, PaLAC5, linked to Heterobasidion parviporum resistance, Plant, Cell and Environment, 43(7): 1779-1791. https://doi.org/10.1111/pce.13768 PMid:32276288 Feng L., and Du F., 2022, Landscape genomics in tree conservation under a changing environment, Frontiers in Plant Science, 13: 822217. https://doi.org/10.3389/fpls.2022.822217 PMid:35283901 PMCid:PMC8908315 Finn E.H., and Misteli T., 2019, Molecular basis and biological function of variability in spatial genome organization, Science, 365: 6457. https://doi.org/10.1126/science.aaw9498 PMid:31488662 PMCid:PMC7421438 Grattapaglia D., 2017, Status and perspectives of genomic selection in forest tree breeding, In: Varshney R., Roorkiwal M., and Sorrells M. (eds.), Genomic selection for crop improvement, Springer, Cham, Switzerland, pp.199-249. https://doi.org/10.1007/978-3-319-63170-7_9 Grattapaglia D., Silva-Junior O., Resende R., Cappa E.P., Müller B.S.F., Tan B., Isik F., Ratcliffe B., and El-Kassaby Y., 2018, Quantitative genetics and genomics converge to accelerate forest tree breeding, Frontiers in Plant Science, 9: 1693. https://doi.org/10.3389/fpls.2018.01693 PMid:30524463 PMCid:PMC6262028 Hussey S., Wegrzyn J., and Vasquez-Gross H., 2016, Evolutionary histories of gene families in angiosperm trees, In: Groover A., and Cronk Q. (eds.), Comparative and evolutionary genomics of angiosperm trees, plant genetics and genomics: crops and models, vol 21, Springer, Cham, Switzerland, pp.121-137. https://doi.org/10.1007/7397_2016_26 Isabel N., Holliday J., and Aitken S., 2019, Forest genomics: advancing climate adaptation, forest health, productivity, and conservation, Evolutionary Applications, 13: 3-10. https://doi.org/10.1111/eva.12902 PMid:31892941 PMCid:PMC6935596 Iwata H., Minamikawa M.F., Kajiya-Kanegae H., Ishimori M., and Hayashi T., 2016, Genomics-assisted breeding in fruit trees, Breeding Science, 66(1): 100-115. https://doi.org/10.1270/jsbbs.66.100 PMid:27069395 PMCid:PMC4780794 Jalili V., Matteucci M., Masseroli M., and Ceri S., 2017, Indexing next-generation sequencing data, Inf. Sci., 384: 90-109. https://doi.org/10.1016/j.ins.2016.08.085 Jinek M., Chylinski K., Fonfara I., Hauer M., Doudna J.A., and Charpentier E., 2012, A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity, Science, 337(6096): 816-821. https://doi.org/10.1126/science.1225829 PMid:22745249 PMCid:PMC6286148 Kuzmin E., Taylor J., and Boone C., 2021, Retention of duplicated genes in evolution, Trends in Genetics, 38(1): 59-72. https://doi.org/10.1016/j.tig.2021.06.016 PMid:34294428 PMCid:PMC8678172 Lau M., Keith A.R., Borrett S., Shuster S., and Whitham T., 2015, Genotypic variation in foundation species generates network structure that may drive community dynamics and evolution, Ecology, 97(3): 733-742. https://doi.org/10.1890/15-0600.1 PMid:27197399 Lebedev V., Lebedeva T., Chernodubov A., and Shestibratov K., 2020, Genomic selection for forest tree improvement: methods, achievements and perspectives, Forests, 11(11): 1190. https://doi.org/10.3390/f11111190 Levy S., and Boone B., 2019, Next-generation sequencing strategies, Cold Spring Harbor Perspectives in Medicine, 9(7): a025791. https://doi.org/10.1101/cshperspect.a025791 PMid:30323017 PMCid:PMC6601457
RkJQdWJsaXNoZXIy MjQ4ODYzMg==