TY - JOUR
T1 - Genetic architecture of variation in Arabidopsis thaliana rosettes
AU - Morón-garcía, Odín
AU - Garzón-martínez, Gina A.
AU - Martínez-martín, M. J. Pilar
AU - Brook, Jason
AU - Corke, Fiona M. K.
AU - Doonan, John H.
AU - Camargo Rodríguez, Anyela V.
A2 - Adhimoolam, Karthikeyan
N1 - Funding Information:
JHD and AC acknowledge support from Biotechnology and Biological Sciences Research Council for grants BB/J004464/1 and BBS/E/W0012844A (https://www.ukri.org/councils/bbsrc/). JHD acknowledges Horizon2020 support via project EPPN2020 Grant agreement ID: 731013. OM-G and GG-M acknowledge receipt of an AberDoc scholarship from Aberystwyth University. The authors thank Candida Nibau for her thoughtful comments towards improving our manuscript and Karen Askew for technical assistance with plant care.
Publisher Copyright:
© 2022 Morón-García et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2022/2/16
Y1 - 2022/2/16
N2 - Rosette morphology across Arabidopsis accessions exhibits considerable variation. Here we report a high-throughput phenotyping approach based on automatic image analysis to quantify rosette shape and dissect the underlying genetic architecture. Shape measurements of the rosettes in a core set of Recombinant Inbred Lines from an advanced mapping population (Multiparent Advanced Generation Inter-Cross or MAGIC) derived from inter-crossing 19 natural accessions. Image acquisition and analysis was scaled to extract geometric descriptors from time stamped images of growing rosettes. Shape analyses revealed heritable morphological variation at early juvenile stages and QTL mapping resulted in over 116 chromosomal regions associated with trait variation within the population. Many QTL linked to variation in shape were located near genes related to hormonal signalling and signal transduction pathways while others are involved in shade avoidance and transition to flowering. Our results suggest rosette shape arises from modular integration of sub-organ morphologies and can be considered a functional trait subjected to selective pressures of subsequent morphological traits. On an applied aspect, QTLs found will be candidates for further research on plant architecture.
AB - Rosette morphology across Arabidopsis accessions exhibits considerable variation. Here we report a high-throughput phenotyping approach based on automatic image analysis to quantify rosette shape and dissect the underlying genetic architecture. Shape measurements of the rosettes in a core set of Recombinant Inbred Lines from an advanced mapping population (Multiparent Advanced Generation Inter-Cross or MAGIC) derived from inter-crossing 19 natural accessions. Image acquisition and analysis was scaled to extract geometric descriptors from time stamped images of growing rosettes. Shape analyses revealed heritable morphological variation at early juvenile stages and QTL mapping resulted in over 116 chromosomal regions associated with trait variation within the population. Many QTL linked to variation in shape were located near genes related to hormonal signalling and signal transduction pathways while others are involved in shade avoidance and transition to flowering. Our results suggest rosette shape arises from modular integration of sub-organ morphologies and can be considered a functional trait subjected to selective pressures of subsequent morphological traits. On an applied aspect, QTLs found will be candidates for further research on plant architecture.
KW - Arabidopsis/genetics
KW - Chromosome Mapping
KW - Chromosomes, Plant/genetics
KW - Genetic Variation
KW - Phenotype
KW - Plant Leaves/genetics
KW - Quantitative Trait Loci
UR - http://www.scopus.com/inward/record.url?scp=85124775601&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0263985
DO - 10.1371/journal.pone.0263985
M3 - Article
C2 - 35171969
SN - 1932-6203
VL - 17
JO - PLoS ONE
JF - PLoS ONE
IS - 2
M1 - e0263985
ER -