Literature DB >> 18262830

Population, quantitative and comparative genomics of adaptation in forest trees.

David B Neale1, Pär K Ingvarsson.   

Abstract

High-throughput DNA sequencing and genotyping technologies have enabled a new generation of research in plant genetics where combined quantitative and population genetic approaches can be used to better understand the relationship between naturally occurring genotypic and phenotypic diversity. Forest trees are highly amenable to such studies because of their combined undomesticated and partially domesticated state. Forest geneticists are using association genetics to dissect complex adaptive traits and discover the underlying genes. In parallel, they are using resequencing of candidate genes and modern population genetics methods to discover genes under natural selection. This combined approach is identifying the most important genes that determine patterns of complex trait adaptation observed in many tree populations.

Mesh:

Year:  2008        PMID: 18262830     DOI: 10.1016/j.pbi.2007.12.004

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  32 in total

1.  The evolutionary genetics of the genes underlying phenotypic associations for loblolly pine (Pinus taeda, Pinaceae).

Authors:  Andrew J Eckert; Jill L Wegrzyn; John D Liechty; Jennifer M Lee; W Patrick Cumbie; John M Davis; Barry Goldfarb; Carol A Loopstra; Sreenath R Palle; Tania Quesada; Charles H Langley; David B Neale
Journal:  Genetics       Date:  2013-10-11       Impact factor: 4.562

Review 2.  Forest tree genomics: growing resources and applications.

Authors:  David B Neale; Antoine Kremer
Journal:  Nat Rev Genet       Date:  2011-02       Impact factor: 53.242

Review 3.  Genomics and bioinformatics resources for crop improvement.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-03-05       Impact factor: 4.927

4.  Genome scanning for detecting adaptive genes along environmental gradients in the Japanese conifer, Cryptomeria japonica.

Authors:  Y Tsumura; K Uchiyama; Y Moriguchi; S Ueno; T Ihara-Ujino
Journal:  Heredity (Edinb)       Date:  2012-08-29       Impact factor: 3.821

Review 5.  Towards decoding the conifer giga-genome.

Authors:  John Mackay; Jeffrey F D Dean; Christophe Plomion; Daniel G Peterson; Francisco M Cánovas; Nathalie Pavy; Pär K Ingvarsson; Outi Savolainen; M Ángeles Guevara; Silvia Fluch; Barbara Vinceti; Dolores Abarca; Carmen Díaz-Sala; María-Teresa Cervera
Journal:  Plant Mol Biol       Date:  2012-09-09       Impact factor: 4.076

6.  Divergent selection and heterogeneous migration rates across the range of Sitka spruce (Picea sitchensis).

Authors:  Jason A Holliday; Haktan Suren; Sally N Aitken
Journal:  Proc Biol Sci       Date:  2011-11-23       Impact factor: 5.349

7.  The population genomic signature of environmental selection in the widespread insect-pollinated tree species Frangula alnus at different geographical scales.

Authors:  H De Kort; K Vandepitte; J Mergeay; K V Mijnsbrugge; O Honnay
Journal:  Heredity (Edinb)       Date:  2015-05-06       Impact factor: 3.821

Review 8.  Evolutionary genetics of plant adaptation.

Authors:  Jill T Anderson; John H Willis; Thomas Mitchell-Olds
Journal:  Trends Genet       Date:  2011-07       Impact factor: 11.639

9.  Association genetics of coastal Douglas fir (Pseudotsuga menziesii var. menziesii, Pinaceae). I. Cold-hardiness related traits.

Authors:  Andrew J Eckert; Andrew D Bower; Jill L Wegrzyn; Barnaly Pande; Kathleen D Jermstad; Konstantin V Krutovsky; J Bradley St Clair; David B Neale
Journal:  Genetics       Date:  2009-06-01       Impact factor: 4.562

10.  Comparative SNP diversity among four Eucalyptus species for genes from secondary metabolite biosynthetic pathways.

Authors:  Carsten Külheim; Suat Hui Yeoh; Jens Maintz; William J Foley; Gavin F Moran
Journal:  BMC Genomics       Date:  2009-09-24       Impact factor: 3.969

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