Abstract
Genetic and evolutionary questions are being addressed in pines using a host of high-throughput sequencing strategies, including whole-genome sequencing, transcriptome sequencing, and target enrichment of nuclear genes. Some of the questions being addressed include the genetic basis of pathogen and drought resistance, differential expression, genetic map**, phylogeography, and phylogenetics. Pine genomes are enormous, ranging from 20 to 40 Gb. At present, draft genomes are available for only two pine species, P. taeda (loblolly pine) and P. lambertiana (sugar pine), but most other approximately 80 species of North American pines have been represented in evolutionary studies based on complete plastomes, low-copy nuclear genes, and transcriptomes. A number of online databases have been developed and made publicly available for comparative studies of pines and other conifers.
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References
Baker EAG, Wegrzyn JL, Sezen UU, Falk T, Maloney PE, Vogler DR, Delfino-Mix A, Jensen C, Mitton J, Wright J, Neale DB (2018) Comparative transcriptomics among four white pine species. G3 Genes Genomes Genet 8(5):1461–1474. https://doi.org/10.1534/g3.118.200257
Crepeau MW, Langley CH, Stevens KA (2017) From pine cones to read clouds: rescaffolding the megagenome of sugar pine (Pinus lambertiana). G3 Genes|Genomes|Genet 7(5):1563–1568. https://doi.org/10.1534/g3.117.040055
De La Torre AR, Birol I, Bousquet J, Ingvarsson PK, Jansson S, Jones SJM, Keeling CI, MacKay J, Nilsson O, Ritland K et al (2014) Insights into conifer giga-genomes. Plant Physiol 166:1–9
De La Torre AR, Piot A, Liu B, Wilhite B, Weiss M, Porth I (2019) Functional and morphological evolution in gymnosperms: a portrait of implicated gene families. Invited Contribution to Special Issue in Evol Appl 13(1):210–227
De Oliveira Junkes CF, de Araújo Júnior AT, de Lima JC, de Costa F, Füller T, de Almeida MR, Neis FA, da Silva Rodrigues-Correa KC, Fett JP, Fett-Neto AG (2019) Resin tap** transcriptome in adult slash pine (Pinus elliottii var. elliottii). Ind Crops Prod 139(June):111545. https://doi.org/10.1016/j.indcrop.2019.111545
DeGiorgio M, Syring J, Eckert AJ, Liston A, Cronn R, Neale DB, Rosenberg NA (2014) An empirical evaluation of two-stage species tree inference strategies using a multilocus dataset from North American pines. BMC Evol Biol 14:67
Falk T, Herndon N, Grau E, Buehler S, Richter P, Zaman S, Baker EM, Ramnath R, Ficklin S, Staton M, Feltus FA, Jung S, Main D, Wegrzyn JL (2018) Growing and cultivating the forest genomics database, TreeGenes. Database. https://doi.org/10.1093/database/bay084 Bottom of Form
Figueroa-Corona L, Valerio PD, Wegrzyn J, Piñero D (2021) Transcriptome of wee** pinyon pine, Pinus pinceana, shows differences across heterogeneous habitats. Trees. https://doi.org/10.1007/s00468-021-02125-8
Gernandt DS, Aguirre Dugua X, Vázquez-Lobo A, Willyard A, Moreno Letelier A, Pérez de la Rosa JA, Piñero D, Liston A (2018) Multi-locus phylogenetics, lineage sorting, and reticulation in Pinus subsection Australes. Am J Bot 105:711–725
Gnirke A, Melnikov A, Maguire J, Rogov P, LeProust EM, Brockman W, Fennell T et al (2009) Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencing. Nat Biotechnol 27:182–189
Gonzalez-Ibeas D, Martínez-García PJ, Famula RA, Delfino-Mix A, Stevens KA et al (2016) Assessing the gene content of the megagenome: sugar pine (Pinus lambertiana). G3 (Bethesda) 6:3787–3802
Hale H, Gardner EM, Viruel J, Pokorny L, Johnson MG (2020) Strategies for reducing per-sample costs in target capture sequencing for phylogenomics and population genomics in plants. Appl Plant Sci 8
** WT, Gernandt DS, Wehenkel C, **a XM, Wei XX, Wang XQ (2021) Phylogenomic and ecological analyses reveal the spatiotemporal evolution of global pines. Proc Natl Acad Sci United States of America 118 (20). https://doi.org/10.1073/PNAS.2022302118
Li X, Wu HX, Southerton SG (2011) Transcriptome profiling of wood maturation in Pinus radiata identifies differentially expressed genes with implications in juvenile and mature wood variation. Gene 487(1):62–71. https://doi.org/10.1016/j.gene.2011.07.028
Lu M, Feau N, Vidakovic DO, Ukrainetz N, Wong B, Aitken SN, Hamelin RC, Yeaman S (2021) Comparative gene expression analysis reveals mechanism of pinus contorta response to the Fungal Pathogen Dothistroma septosporum. Mol Plant Microbe Interact 34(4):397–409. https://doi.org/10.1094/MPMI-10-20-0282-R
Luo R, Liu B, **e Y, Li Z, Huang W et al (2012) SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience 1(1):18
McKeand SE, Payn KG, Heine AJ, Abt RC (2021) Economic significance of continued improvement of loblolly pine genetics and its efficient deployment to landowners in the southern United States. J For 119:62–72. https://doi.org/10.1093/jofore/fvaa044
Montes JR, Peláez P, Willyard A, Moreno-Letelier A, Piñero D, Gernandt DS (2019) Phylogenetics of Pinus subsection Cembroides Engelm. (Pinaceae) inferred from low-copy nuclear gene sequences. Syst Bot 44:501–518
Neale DB, Wegrzyn JL, Stevens KA, Zimin AV, Puiu D, Crepeau MW, Cardeno C, Koriabine M, Holtz-Morris AE, Liechty JD et al (2014) Decoding the massive genomes of loblolly pine using haploid DNA and novel assembly strategies. Genome Biol 15:R59
Neves LG, Davis JM, Barbazuk WB, Kirst M (2013) Whole-exome targeted sequencing of the uncharacterized pine genome. Plant J 75:146–156
Nystedt B, Street NR, Wetterbom A, Zuccolo A, Lin YC, Scofield DG, Vezzi F, Delhomme N, Giacomello S, Alexeyenko A et al (2013) The Norway spruce genome sequence and conifer genome evolution. Nature 497:579–584
Peláez P, Ortiz-Martínez A, Figueroa-Corona L, Montes JR, Gernandt DS (2020) Population structure, diversifying selection, and local adaptation in Pinus patula. Am J Bot 107:1555–1566
Proost S, Van Bel M, Vaneechoutte D, Van de Peer Y, Inzé D, Mueller-Roeber B, Vandepoele K (2015) PLAZA 3.0: an access point for plant comparative genomics. Nucl Acids Res 43(D1):D974–D981. https://doi.org/10.1093/nar/gku986
Springer MS, Gatesy J (2016) The gene tree delusion. Mol Phylogenet Evol 94:1–33
Stevens KA, Wegrzyn JL, Zimin A, Puiu D, Crepeau M, Cardeno C, Paul R, Gonzalez-Ibeas D, Koriabine M, Holtz-Morris AE, Martínez-García PJ, Sezen UU, Marçais G, Jermstad K, McGuire PE, Loopstra CA, Davis JM, Eckert A, de Jong P, Yorke JA, Salzberg SL, Neale DB, Langley CH (2016) Sequence of the sugar pine megagenome. Genetics 204:1613–1626. https://doi.org/10.1534/genetics.116.193227
Sundell D, Mannapperuma C, Netotea S, Delhomme N, Lin Y-C, Sjödin A, Van de Peer Y, Jansson S, Hvidsten TR, Street NR (2015) The plant genome integrative explorer resource: PlantGenIE.org. New Phytol 208:1149–1156. https://doi.org/10.1111/nph.13557
Syring J, Farrell K, Businský R, Cronn R, Liston A (2007) Widespread genealogical nonmonophyly in species of Pinus subgenus Strobus. Syst Biol 56:163–181
Van Bel M, Diels T, Vancaester E, Kreft L, Botzki A, Van de Peer Y, Coppens F, Vandepoele K (2018) PLAZA 4.0: an integrative resource for functional, evolutionary and comparative plant genomics. Nucl Acids Res 46 (D1):D1190–D1196. https://doi.org/10.1093/nar/gkx1002
Vasquez-Gross HA, Yu JJ, Figueroa B, Gessler DDG, Neale DB, Wegrzyn JL (2013) CartograTree: connecting tree genomes, phenotypes and environment. Mol Ecol Resour 13:528–537. https://doi.org/10.1111/1755-0998.12067
Visser EA, Wegrzyn JL, Myburg AA, Naidoo S (2018) Defence transcriptome assembly and pathogenesis related gene family analysis in Pinus Tecunumanii (Low Elevation). BMC Genom 19(1):1–13. https://doi.org/10.1186/s12864-018-5015-0
Visser EA, Wegrzyn JL, Steenkamp ET, Myburg AA, Naidoo S (2019) Dual Rna-Seq analysis of the Pine-Fusarium Circinatum interaction in resistant (Pinus Tecunumanii) and susceptible (Pinus Patula) hosts. Microorganisms 7(9):7–9. https://doi.org/10.3390/microorganisms7090315
Visser EA, Wegrzyn JL, Steenkmap ET, Myburg AA, Naidoo S (2015) Combined de Novo and genome guided assembly and annotation of the Pinus patula juvenile shoot transcriptome. BMC Genom 16(1):1–13. https://doi.org/10.1186/s12864-015-2277-7
Wakasugi T, Tsudzuki J, Ito S, Nakashima K, Tsudzuki T, Sugiura M (1994) Loss of all ndh genes as determined by sequencing the entire chloroplast genome of the black pine Pinus thunbergii. Proc Natl Acad Sci 91:9794–9798
Wang B, Wang X-R (2014) Mitochondrial DNA capture and divergence in Pinus provide new insights into the evolution of the genus. Mol Phylogenet Evol 80:20–30
Wegrzyn JL, Lee JM, Tearse BR, Neale DB (2008) TreeGenes: a forest tree genome database. Int J Plant Genom 412875:7
Wegrzyn JL, Liechty JD, Stevens KA, Wu LS, Loopstra CA, Vasquez-Gross AH, Dougherty WM, Lin BY, Zieve JJ, Martínez-García PJ, Holt C, Yandell M, Zimin AV, Yorke YA, Crepeau MW, Puiu D, Salzberg SL, de Jong PJ, Mockaitis K, Main D, Langley CH, Neale DB (2014) Unique features of the loblolly pine (Pinus taeda L.) megagenome revealed through sequence annotation. Genetics 196(3):891–909. https://doi.org/10.1534/genetics.113.159996
Wegrzyn JL, Staton MA, Street NR., Main D, Grau E, Herndon N, Buehler S, Falk T, Zaman S, Ramnath R, Richter P, Sun L, Condon B, Almsaeed A, Chen M, Mannapperuma C, Jung S, Ficklin S (2019) Cyberinfrastructure to improve forest health and productivity: the role of tree databases in connecting genomes, phenomes, and the environment. Front Plant Sci 10: 813. https://www.frontiersin.org/article/, https://doi.org/10.3389/fpls.2019.00813
Weiss M, Sniezko R, Puiu D, Crepeau MW, Stevens K, Salzberg SL, Langley CH, Neale DB, De La Torre AR (2020) Genomic basis of white pine blister rust quantitative disease resistance and its relationship with qualitative resistance. Plant J. https://doi.org/10.1111/tpj.14928
Weitemier K, Straub SCK, Cronn RC, Fishbein M, Schmickl R, McDonnell A, Liston A (2014) Hyb-Seq: combining target enrichment and genome skimming for plant phylogenomics. Appl Plant Sci 2:1400042
Willyard A, Syring J, Gernandt DS, Liston A, Cronn R (2007) Fossil calibration of molecular divergence infers a moderate mutation rate and recent radiations for Pinus. Mol Biol Evol 24:90–101
Willyard A, Gernandt DS, Cooper B, Douglas C, Finch K, Karemera H, Lindberg E, Langer SK, Lefler J, Marquardt P, Pouncey DL (2021) Phylogenomics in the Hard Pines (Pinus subsection Ponderosae; Pinaceae) Confirms Paraphyly in Pinus ponderosa, and Places Pinus jeffreyi with the California Big Cone Pines. Sys Bot 46:538–561
Zimin A, Marais G, Puiu D, Roberts M, Salzberg S et al (2013) The MaSuRCA genome assembler. Bioinformatics 29:2669–2677
Zimin A, Stevens KA, Crepeau MW, Holtz-Morris A, Koriabine M, Marçais G, Puiu D, Roberts M, Wegrzyn JL, de Jong PJ, Neale DB, Salzberg SL, Yorke JA, Langley CH (2014) Sequencing and assembly of the 22-Gb loblolly pine genome. Genetics 196(3):875–890. https://doi.org/10.1534/genetics.113.159715
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Vázquez-Lobo, A., Gernandt, D.S., Martínez-García, P.J., De La Torre, A.R. (2022). Advances in the Genomic and Transcriptomic Sequencing of North American Pines. In: De La Torre, A.R. (eds) The Pine Genomes. Compendium of Plant Genomes. Springer, Cham. https://doi.org/10.1007/978-3-030-93390-6_1
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