Nonlinear selection and a blend of convergent, divergent and parallel evolution shapes natural variation in glucosinolates

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Standard

Nonlinear selection and a blend of convergent, divergent and parallel evolution shapes natural variation in glucosinolates. / Kliebenstein, Daniel James; Cacho, N. Ivalú.

Advances in botanical research. Vol. 80 Elsevier, 2016. p. 31-55 (Advances in Botanical Research).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Kliebenstein, DJ & Cacho, NI 2016, Nonlinear selection and a blend of convergent, divergent and parallel evolution shapes natural variation in glucosinolates. in Advances in botanical research. vol. 80, Elsevier, Advances in Botanical Research, pp. 31-55. https://doi.org/10.1016/bs.abr.2016.06.002

APA

Kliebenstein, D. J., & Cacho, N. I. (2016). Nonlinear selection and a blend of convergent, divergent and parallel evolution shapes natural variation in glucosinolates. In Advances in botanical research (Vol. 80, pp. 31-55). Elsevier. Advances in Botanical Research https://doi.org/10.1016/bs.abr.2016.06.002

Vancouver

Kliebenstein DJ, Cacho NI. Nonlinear selection and a blend of convergent, divergent and parallel evolution shapes natural variation in glucosinolates. In Advances in botanical research. Vol. 80. Elsevier. 2016. p. 31-55. (Advances in Botanical Research). https://doi.org/10.1016/bs.abr.2016.06.002

Author

Kliebenstein, Daniel James ; Cacho, N. Ivalú. / Nonlinear selection and a blend of convergent, divergent and parallel evolution shapes natural variation in glucosinolates. Advances in botanical research. Vol. 80 Elsevier, 2016. pp. 31-55 (Advances in Botanical Research).

Bibtex

@inbook{c0812ccb592546c7a75fabefef6aa3d9,
title = "Nonlinear selection and a blend of convergent, divergent and parallel evolution shapes natural variation in glucosinolates",
abstract = "The molecular mechanisms underlying organismal fitness in complex environments is just beginning to be illuminated. One of the pre-eminent model systems that span the molecular to field fitness chasm is the natural variation in glucosinolate defence metabolites within the Capparales. In this system, there have been extensive surveys of variation in the same phenotypes across a breadth of species and the molecular basis of the major polymorphisms both within and between species is largely known. This is showing an extensive array of evolutionary processes that create and recreate specific polymorphisms and traits that is highly similar both within and between species. Further, early field trials with single gene recreations of natural variation are showing that selection is highly fluctuating both from site to site and from year to year within a location. This review goes into the specific ecological, evolutionary and molecular observations for each of the major loci controlling natural variation in glucosinolates.",
keywords = "AOP, BCMA, Elong, Glucosinolate synthesis pathway, GS-OH, Repeated evolution",
author = "Kliebenstein, {Daniel James} and Cacho, {N. Ival{\'u}}",
year = "2016",
doi = "10.1016/bs.abr.2016.06.002",
language = "English",
isbn = "978-0-08-100327-5",
volume = "80",
series = "Advances in Botanical Research",
publisher = "Elsevier",
pages = "31--55",
booktitle = "Advances in botanical research",
address = "Netherlands",

}

RIS

TY - CHAP

T1 - Nonlinear selection and a blend of convergent, divergent and parallel evolution shapes natural variation in glucosinolates

AU - Kliebenstein, Daniel James

AU - Cacho, N. Ivalú

PY - 2016

Y1 - 2016

N2 - The molecular mechanisms underlying organismal fitness in complex environments is just beginning to be illuminated. One of the pre-eminent model systems that span the molecular to field fitness chasm is the natural variation in glucosinolate defence metabolites within the Capparales. In this system, there have been extensive surveys of variation in the same phenotypes across a breadth of species and the molecular basis of the major polymorphisms both within and between species is largely known. This is showing an extensive array of evolutionary processes that create and recreate specific polymorphisms and traits that is highly similar both within and between species. Further, early field trials with single gene recreations of natural variation are showing that selection is highly fluctuating both from site to site and from year to year within a location. This review goes into the specific ecological, evolutionary and molecular observations for each of the major loci controlling natural variation in glucosinolates.

AB - The molecular mechanisms underlying organismal fitness in complex environments is just beginning to be illuminated. One of the pre-eminent model systems that span the molecular to field fitness chasm is the natural variation in glucosinolate defence metabolites within the Capparales. In this system, there have been extensive surveys of variation in the same phenotypes across a breadth of species and the molecular basis of the major polymorphisms both within and between species is largely known. This is showing an extensive array of evolutionary processes that create and recreate specific polymorphisms and traits that is highly similar both within and between species. Further, early field trials with single gene recreations of natural variation are showing that selection is highly fluctuating both from site to site and from year to year within a location. This review goes into the specific ecological, evolutionary and molecular observations for each of the major loci controlling natural variation in glucosinolates.

KW - AOP

KW - BCMA

KW - Elong

KW - Glucosinolate synthesis pathway

KW - GS-OH

KW - Repeated evolution

U2 - 10.1016/bs.abr.2016.06.002

DO - 10.1016/bs.abr.2016.06.002

M3 - Book chapter

AN - SCOPUS:84997194389

SN - 978-0-08-100327-5

VL - 80

T3 - Advances in Botanical Research

SP - 31

EP - 55

BT - Advances in botanical research

PB - Elsevier

ER -

ID: 178838032