Identification of quantitative trait loci that regulate Arabidopsis root system size and plasticity

被引:61
|
作者
Gerald, JNF [1 ]
Lehti-Shiu, MD [1 ]
Ingram, PA [1 ]
Deak, KI [1 ]
Biesiada, T [1 ]
Malamy, JE [1 ]
机构
[1] Univ Chicago, Erman Biol Ctr, Dept Mol Genet & Cell Biol, Chicago, IL 60637 USA
关键词
D O I
10.1534/genetics.105.047555
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Root system size (RSS) is a complex trait that is greatly influenced by environmental cues. Hence, both intrinsic developmental pathways and environmental-response pathways contribute to RSS. To assess the natural variation in both types of pathways, we examined the root systems of the closely related Arabidopsis ecotypes Landsberg erecta (Ler) and Columbia (Col) grown under mild osmotic stress conditions. We found that Ler initiates more lateral root primordia, produces lateral roofs from a higher percentage of these primordia, and has an overall larger root system than Col under these conditions. Furthermore, although each of these parameters is reduced by osmotic stress in both ecotypes, Ler shows a decreased sensitivity to osmotica. To understand the genetic basis for these differences, QTL for RSS under mild osmotic stress were mapped in a Ler X Col recombinant inbred population. Two robust quantitative trait loci (QTL) were identified and confirmed in near-isogenic lines (NILs). The NILs also allowed us to define distinct physiological roles for the gene (s) at each locus. This study provides insight into the genetic and physiological complexity that determines RSS and begins to dissect the molecular basis for naturally occurring differences in morphology and developmental plasticity in the root system.
引用
收藏
页码:485 / 498
页数:14
相关论文
共 50 条
  • [31] Identification of quantitative trait loci controlling partial clubroot resistance in new mapping populations of Arabidopsis thaliana
    Jubault, Melanie
    Lariagon, Christine
    Simon, Matthieu
    Delourme, Regine
    Manzanares-Dauleux, Maria J.
    THEORETICAL AND APPLIED GENETICS, 2008, 117 (02) : 191 - 202
  • [32] Genome-Wide Identification of Splicing Quantitative Trait Loci (sQTLs) in Diverse Ecotypes of Arabidopsis thaliana
    Khokhar, Waqas
    Hassan, Musa A.
    Reddy, Anireddy S. N.
    Chaudhary, Saurabh
    Jabre, Ibtissam
    Byrne, Lee J.
    Syed, Naeem H.
    FRONTIERS IN PLANT SCIENCE, 2019, 10
  • [33] Identification of Quantitative Trait Loci (QTLs) in Aquaculture Species
    Laghari, Muhammad Y.
    Lashari, Punhal
    Zhang, Yan
    Sun, Xiaowen
    REVIEWS IN FISHERIES SCIENCE & AQUACULTURE, 2014, 22 (03) : 221 - 238
  • [34] Identification of quantitative trait loci for prepulse inhibition in rats
    Abraham A. Palmer
    Laura L. Breen
    Pamela Flodman
    Lisa H. Conti
    Anne M. Spence
    Morton P. Printz
    Psychopharmacology, 2003, 165 : 270 - 279
  • [35] Identification of quantitative trait loci for prolificacy and growth in mice
    B. W. Kirkpatrick
    A. Mengelt
    N. Schulman
    I. C. A. Martin
    Mammalian Genome, 1998, 9 : 97 - 102
  • [36] Quantitative Trait Loci (QTL) Identification in the Progeny of a Polycross
    Pauly, Laurence
    Flajoulot, Sandrine
    Garon, Jerome
    Julier, Bernadette
    Beguier, Vincent
    Barre, Philippe
    AGRONOMY-BASEL, 2016, 6 (04):
  • [37] Identification of quantitative trait loci for prolificacy and growth in mice
    Kirkpatrick, BW
    Mengelt, A
    Schulman, N
    Martin, ICA
    MAMMALIAN GENOME, 1998, 9 (02) : 97 - 102
  • [38] Identification of quantitative trait loci governing subgynoecy in cucumber
    Khin Thanda Win
    Chunying Zhang
    Renato Rodrigues Silva
    Jeong Hwan Lee
    Young-Cheon Kim
    Sanghyeob Lee
    Theoretical and Applied Genetics, 2019, 132 : 1505 - 1521
  • [39] IDENTIFICATION OF EXPRESSION QUANTITATIVE TRAIT LOCI IN HUMAN PLACENTA
    Apicella, Clara
    Ruano, Camino S. M.
    Gascoin, Geraldine
    Miralles, Francisco
    Mehats, Celine
    PLACENTA, 2021, 112 : E27 - E27
  • [40] Identification of quantitative trait loci governing subgynoecy in cucumber
    Win, Khin Thanda
    Zhang, Chunying
    Silva, Renato Rodrigues
    Lee, Jeong Hwan
    Kim, Young-Cheon
    Lee, Sanghyeob
    THEORETICAL AND APPLIED GENETICS, 2019, 132 (05) : 1505 - 1521