Dataset Information

Dynamical Modeling of the Core Gene Network Controlling Flowering Suggests Cumulative Activation From the FLOWERING LOCUS T Gene Homologs in Chickpea.

ABSTRACT: Initiation of flowering moves plants from vegetative to reproductive development. The time when this transition happens (flowering time), an important indicator of productivity, depends on both endogenous and environmental factors. The core genetic regulatory network canalizing the flowering signals to the decision to flower has been studied extensively in the model plant Arabidopsis thaliana and has been shown to preserve its main regulatory blocks in other species. It integrates activation from the FLOWERING LOCUS T (FT) gene or its homologs to the flowering decision expressed as high expression of the meristem identity genes, including AP1. We elaborated a dynamical model of this flowering gene regulatory network and applied it to the previously published expression data from two cultivars of domesticated chickpea (Cicer arietinum), obtained for two photoperiod durations. Due to a large number of free parameters in the model, we used an ensemble approach analyzing the model solutions at many parameter sets that provide equally good fit to data. Testing several alternative hypotheses about regulatory roles of the five FT homologs present in chickpea revealed no preference in segregating individual FT copies as singled-out activators with their own regulatory parameters, thus favoring the hypothesis that the five genes possess similar regulatory properties and provide cumulative activation in the network. The analysis reveals that different levels of activation from AP1 can explain a small difference observed in the expression of the two homologs of the repressor gene TFL1. Finally, the model predicts highly reduced activation between LFY and AP1, thus suggesting that this regulatory block is not conserved in chickpea and needs other mechanisms. Overall, this study provides the first attempt to quantitatively test the flowering time gene network in chickpea based on data-driven modeling.

SUBMITTER: Gursky VV

PROVIDER: S-EPMC6262361 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Dynamical Modeling of the Core Gene Network Controlling Flowering Suggests Cumulative Activation From the <i>FLOWERING LOCUS T</i> Gene Homologs in Chickpea.

Gursky Vitaly V VV Kozlov Konstantin N KN Nuzhdin Sergey V SV Samsonova Maria G MG

Frontiers in genetics 20181120

Initiation of flowering moves plants from vegetative to reproductive development. The time when this transition happens (flowering time), an important indicator of productivity, depends on both endogenous and environmental factors. The core genetic regulatory network canalizing the flowering signals to the decision to flower has been studied extensively in the model plant <i>Arabidopsis thaliana</i> and has been shown to preserve its main regulatory blocks in other species. It integrates activat ...[more]

PMID: 30524469

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Project description:To elucidate the molecular mechanism of juvenility and annual flowering of fruit trees, FLOWERING LOCUS C (FLC), an integrator of flowering signals, was investigated in apple as a model. We performed sequence and expression analyses and transgenic experiments related to juvenility with annual flowering to characterize the apple FLC homologs MdFLC. The phylogenetic tree analysis, which included other MADS-box genes, showed that both MdFLC1 and MdFLC3 belong to the same FLC group. MdFLC1c from one of the MdFLC1 splice variants and MdFLC3 contain the four conserved motives of an MIKC-type MADS protein. The mRNA of variants MdFLC1a and MdFLC1b contain intron sequences, and their deduced amino acid sequences lack K- and C-domains. The expression levels of MdFLC1a, MdFLC1b, and MdFLC1c decreased during the flowering induction period in a seasonal expression pattern in the adult trees, whereas the expression level of MdFLC3 did not decrease during that period. This suggests that MdFLC1 is involved in flowering induction in the annual growth cycle of adult trees. In apple seedlings, because phase change can be observed in individuals, seedlings can be used for analysis of expression during phase transition. The expression levels of MdFLC1b, MdFLC1c, and MdFLC3 were high during the juvenile phase and low during the transitional and adult phases. Because the expression pattern of MdFLC3 suggests that it plays a specific role in juvenility, MdFLC3 was subjected to functional analysis by transformation of Arabidopsis. The results revealed the function of MdFLC3 as a floral repressor. In addition, MdFT had CArG box-like sequences, putative targets for the suppression of flowering by MdFLC binding, in the introns and promoter regions. These results indicate that apple homologs of FLC, which might play a role upstream of the flowering signals, could be involved in juvenility as well as in annual flowering. Apples with sufficient genome-related information are useful as a model for studying phenomena unique to woody plants such as juvenility and annual flowering.

Dataset Information

Dynamical Modeling of the Core Gene Network Controlling Flowering Suggests Cumulative Activation From the FLOWERING LOCUS T Gene Homologs in Chickpea.

Publications

Dynamical Modeling of the Core Gene Network Controlling Flowering Suggests Cumulative Activation From the <i>FLOWERING LOCUS T</i> Gene Homologs in Chickpea.

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