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The Genomics of Wood Formation in Angiosperm Trees

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Comparative and Evolutionary Genomics of Angiosperm Trees

Part of the book series: Plant Genetics and Genomics: Crops and Models ((PGG,volume 21))

Abstract

Advances in genomic science have enabled comparative approaches that can evaluate the evolution of genes and mechanisms underlying phenotypic traits relevant to angiosperm forest trees. Wood formation is an excellent subject for comparative genomics, as it is an ancestral trait for angiosperms and has undergone significant modification in different angiosperm lineages. This chapter discusses some of the traits associated with wood formation, what is currently known about the genes and mechanisms regulating these traits, and how comparative evolutionary genomic studies can be undertaken to provide more comprehensive views of the evolution and development of wood formation in angiosperms.

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Acknowledgements

This work was supported by grant2015-67013-22891from USDA AFRI, DE-SC0007183 from DOE Office of Science, Office of Biological and Environmental Research (BER) to AG, and grant 31270219 and 31570581from National Natural Science Foundation of China to XH. We thank Keith Woeste for helpful comments on the manuscript.

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Authors and Affiliations

  1. School of Life Sciences, Peking University, Beijing, 100871, China

    Xinqiang He

  2. Pacific Southwest Research Station, US Forest Service, Davis, 95618, CA, USA

    Andrew T. Groover

  3. Department of Plant Biology, University of California Davis, Davis, 95618, CA, USA

    Andrew T. Groover

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  1. Xinqiang He
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Editors and Affiliations

  1. Pacific Southwest Research Station, United States Forest Service, Davis, California, USA

    Andrew Groover

  2. Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada

    Quentin Cronk

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He, X., Groover, A.T. (2017). The Genomics of Wood Formation in Angiosperm Trees. In: Groover, A., Cronk, Q. (eds) Comparative and Evolutionary Genomics of Angiosperm Trees. Plant Genetics and Genomics: Crops and Models, vol 21. Springer, Cham. https://doi.org/10.1007/7397_2016_17

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