Transcript Figure 1

Figure S1
a
cmSP165/166 severe
b MIM159 (mir159a)
Figure S1: Detailed phenotype of severe cmSP165/166 and MIM159 plants. Severe
cmSP165/166 (15x) plants have characteristic trumpet- and cup-shaped (white
arrows) leaves, as well as fasciated stems and flowers.
Figure S2
PHB
REV
0.25
*
0.2
0.15
*
0.1
*
*
0.05
*
*
Relative RNA levels
0
PHV
0.015
*
0.01
*
0.005
*
*
0
miR166
10
8
*
*
*
cmSP165 S
*
cmSP165 M
2
MIM165 M
4
MIM165 W
6
WT
0
Figure S2: Analysis of target transcript and miRNA levels in cmSP165/166
(15x) and MIM165/166 plants. qRT-PCR analysis of PHB, REV, PHV and
miR166 levels in MIM165/166 and cmSP165/166 (15x) primary
transformants. Transcript levels were normalized to CYCLOPHILIN and
miRNA levels were normalized to snoR101. RNA was extracted from 4-weekold primary transformants using tissue from whole plants. Measurements
are the average of three technical replicates with error bars representing
the SEM. Asterisks mark statistically significant changes compared to wildtype.
Figure S3
cmSP165/166
miR165:
3’-CCCCCUACUUCGGACCAGGCU-5’
miR166:
3’-CCCCUUACUUCGGACCAGGCU-5’
cmSP165/166: 5’-ggGGGAUGAAcgCUGGUCCGa-3’
MIM165/166
miR165:
miR166:
MIM165/166:
3’-CCCCCUACUUC---GGACCAGGCU-5’
3’-CCCCUUACUUC---GGACCAGGCU-5’
5’-GGGGAAUGAATctaCCUGGUCCGA-3’
STTM165/166-48
miR165
3’-CCCCCUACUUC---GGACCAGGCU-5’
5’-GGGGGAUGAAGctaCCUGGUCCGA-3’
STTM165
miR166
3’-CCCCUUACUUC---GGACCAGGCU-5’
5’-GGGGAAUGAAGctaCCUGGUCCGA-3’
STTM166
Figure S3: Nucleotide sequences of cmSP165/166, MIM165/166 and STTM165/166.
Underlined nucleotides mark mismatches between the miRNA and the respective construct.
Red nucleotides in MIM165/166 and STTM165/166-48 mark the nucleotides opposite
position 11 of the miRNA.
Table S1
∆G (kcal/mol)
∆G %
cmSP165/166
-31.3
83%
MIM165/166
-26.9
71%
STTM165/166-48
-35.5
94%
cmSP159
-26.3
79%
MIM159/STTM159
-28.8
86%
MIM319
-26.5
80%
MIM319
-29.3
75%
MIM159
-24.3
62%
MIM172
-26.4
84%
MIM172cs
-21.0
67%
miR166a
miR159a
miR319a/b
miR172a
Table S1: Free energy calculations of the interaction between cmSPs, MIMs,
STTMs and their corresponding miRNAs. Free energy (∆G) values are shown in
kcal/mol and as percentage compared to a perfect match with the respective
miRNA. ∆G values were calculated using the DINAmelt Web Server
(http://mfold.rna.albany.edu/?q=DINAMelt/Two-state-melting).
Figure S4a
STTM159-48
STTM156-48
STTM165/166-48
STTM172-48
Figure S4b
cmSP159
cmSP156
cmSP165/166
cmSP172
Figure S4c
MIM159
MIM165/166
MIM172
miRNA target site accessibility
MIM156
Target MIMIC
∆Gopen
(kcal/mol)
MIM159
3.75
MIM165/166
6.06
MIM156
2.15
MIM172
6.17
Figure S4: Prediction of RNA secondary structure and miRNA target site accessibility of
different decoy constructs.
RNA secondary structures of STTMs (Figure S4a), cmSPs (Figure S4b) and MIMs (Figure S4c)
were predicted using the Vienna RNAfold web server (http://rna.tbi.univie.ac.at/). The heat
map indicates base-pair probabilities from low (blue) to high (red). Sequences encircled in
black mark the miRNA binding site.
The miRNA target site accessibility of MIMs (Figure S4c) was calculated as the energy
required for un-pairing all target site nucleotides (ΔGopen) using the Vienna RNAup web
server (http://rna.tbi.univie.ac.at/). The target site was defined as the miRNA binding site
plus 17 nt upstream and 13 nt downstream, which has been determined as optimal window
in Kertesz et al., 2007, and is used by the psRNATarget server (Dai and Zhao, 2011).