Climate sensitivity of Cryptomeria japonica in two contrasting environments: Perspectives from QTL mapping

27. Tsumura Y. Cryptomeria. In: Kole C, editor. Wild crop relatives: Genomic and breeding resources: For- est trees. Berlin, Heidelberg: Springer Berlin Heidelberg; 2011. pp. 49–63. 28. Ohba K. Clonal Forestry with Sugi (Cryptomeria japonica). In: Ahuja M-R, Libby WJ, editors. Clonal For- estry II: Conservation and Application. Berlin, Heidelberg: Springer Berlin Heidelberg; 1993. pp. 66– 90. 29. Ueno S, Moriguchi Y, Uchiyama K, Ujino-Ihara T, Futamura N, Sakurai T, et al. A second generation framework for the analysis of microsatellites in expressed sequence tags and the development of EST- SSR markers for a conifer, Cryptomeria japonica. BMC Genomics. 2012; 13: 136. https://doi.org/10. 1186/1471-2164-13-136 PMID: 22507374 30. Hiraoka Y, Fukatsu E, Mishima K, Hirao T, Teshima KM, Tamura M, et al. Potential of genome-wide studies in unrelated plus trees of a coniferous species, Cryptomeria japonica (Japanese cedar). Front Plant Sci. 2018; 9: 1322. https://doi.org/10.3389/fpls.2018.01322 PMID: 30254658 31. Uchiyama K, Iwata H, Moriguchi Y, Ujino-Ihara T, Ueno S, Taguchi Y, et al. Demonstration of genome- wide association studies for identifying markers for wood property and male strobili traits in Cryptomeria japonica. PLoS One. 2013; 8: e79866. https://doi.org/10.1371/journal.pone.0079866 PMID: 24260312 32. Mori H, Ueno S, Ujino-Ihara T, Fujiwara T, Yamashita K, Kanetani S, et al. Mapping quantitative trait loci for growth and wood property traits in Cryptomeria japonica across multiple environments. Tree Genet. Genomes. 2019; 15: 43.

33. Fujisawa Y, Ohta S, Tajima M. Wood characteristics and genetic variations in sugi (Cryptomeria japon- ica), 2: Variation in growth ring components among plus-trees clones and test stands. Mokuzai Gak- kaishi. 1993. 34. Fujisawa Y. Variation in moisture contents of heartwood among clones and test stands in Sugi (Crypto- meria japonica). Mokuzai Gakkaishi. 1995; 41: 249–255. 35. Yamashita K, Okada N, Kamo K. Application of the wire dendrometer for monitoring the radial growth of trees (in Japanese with English summary). Mokuzai Gakkaishi. 2006; 52: 8–18. 36. Nishizono T, Zushi K, Hiroshima T, Toyama K, Kitahara F, Terada F, et al. Latitudinal variation in radial growth phenology of Cryptomeria japonica D. Don trees in Japan. Forestry. 2018; 91: 206–216. 37. Tani N, Takahashi T, Iwata H, Mukai Y, Ujino-Ihara T, Matsumoto A, et al. A consensus linkage map for sugi (Cryptomeria japonica) from two pedigrees, based on microsatellites and expressed sequence tags. Genetics. 2003; 165: 1551–1568. PMID: 14668402 38. Moriguchi Y, Uchiyama K, Ueno S, Ujino-Ihara T, Matsumoto A, Iwai J, et al. A high-density linkage map with 2560 markers and its application for the localization of the male-sterile genes ms3 and ms4 in Cryptomeria japonica D. Don. Tree Genet. Genomes. 2016; 12: 57. 39. Fang K, Gou X, Peters K, Li J, Zhang F. Removing biological trends from tree-ring series: testing modi- fied Hugershoff curves. Tree Ring Res. 2010; 66: 51–59. 40. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation

for Statistical Computing; 2019. 41. Lara W, Bravo F, Sierra CA. MeasuRing: An R package to measure tree-ring widths from scanned images. Dendrochronologia. 2015; 34: 43–50. 42. Bunn AG. A dendrochronology program library in R (dplR). Dendrochronologia. 2008; 26: 115–124. 43. Cai X, Huang A, Xu S. Fast empirical Bayesian LASSO for multiple quantitative trait locus mapping. BMC Bioinformatics. 2011; 12: 211. https://doi.org/10.1186/1471-2105-12-211 PMID: 21615941 44. Huang A, Liu D. EBglmnet: a comprehensive R package for sparse generalized linear regression mod- els. Bioinformatics. 2016; btw143. 45. Huang A, Xu S, Cai X. Whole-genome quantitative trait locus mapping reveals major role of epistasis on yield of rice. PLoS One. 2014; 9: e87330. https://doi.org/10.1371/journal.pone.0087330 PMID: 24489897 46. Broman KW, Wu H, Sen S, Churchill GA. R/qtl: QTL mapping in experimental crosses. Bioinformatics. 2003; 19: 889–890. https://doi.org/10.1093/bioinformatics/btg112 PMID: 12724300 47. Saito T, Kumagai T, Tateishi M, Kobayashi N, Otsuki K, Giambelluca TW. Differences in seasonality and temperature dependency of stand transpiration and canopy conductance between Japanese cypress (hinoki) and Japanese cedar (sugi) in a plantation. Hydrol Process. 2017; 31: 1952–1965. 48. Tyree MT, Sperry JS. Vulnerability of xylem to cavitation and embolism. Annu Rev Plant Biol. 1989; 40: 19–36. 49. Davis SD, Ewers FW, Sperry JS, Portwood KA, Crocker MC, Adams GC. Shoot dieback during pro-

longed drought in Ceanothus (Rhamnaceae) chaparral of California: a possible case of hydraulic failure. Am J Bot. 2002; 89: 820–828. https://doi.org/10.3732/ajb.89.5.820 PMID: 21665682 Climate sensitivity of Cryptomeria japonica PLOS ONE | https://doi.org/10.1371/journal.pone.0228278 January 28, 2020 13 / 14