000 01548 a2200421 4500
005 20250518054306.0
264 0 _c20200330
008 202003s 0 0 eng d
022 _a1091-6490
024 7 _a10.1073/pnas.1902731116
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aTaylor, Mark A
245 0 0 _aLarge-effect flowering time mutations reveal conditionally adaptive paths through fitness landscapes in
_h[electronic resource]
260 _bProceedings of the National Academy of Sciences of the United States of America
_c09 2019
300 _a17890-17899 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
650 0 4 _aAdaptation, Biological
650 0 4 _aArabidopsis
_xphysiology
650 0 4 _aBiological Evolution
650 0 4 _aComputational Biology
_xmethods
650 0 4 _aFlowers
_xphysiology
650 0 4 _aGene Expression Profiling
650 0 4 _aGenetic Association Studies
650 0 4 _aGenotype
650 0 4 _aMutation
650 0 4 _aPhenotype
650 0 4 _aSeasons
650 0 4 _aSelection, Genetic
650 0 4 _aTranscriptome
700 1 _aWilczek, Amity M
700 1 _aRoe, Judith L
700 1 _aWelch, Stephen M
700 1 _aRuncie, Daniel E
700 1 _aCooper, Martha D
700 1 _aSchmitt, Johanna
773 0 _tProceedings of the National Academy of Sciences of the United States of America
_gvol. 116
_gno. 36
_gp. 17890-17899
856 4 0 _uhttps://doi.org/10.1073/pnas.1902731116
_zAvailable from publisher's website
999 _c30013289
_d30013289