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24 publications mentioning ath-MIR408

Open access articles that are associated with the species Arabidopsis thaliana and mention the gene name MIR408. Click the [+] symbols to view sentences that include the gene name, or the word cloud on the right for a summary.

1
[+] score: 49
The sequencing analysis showed that in both callus and leaf tissues, various stress regulated-miRNAs were differentially expressed and real time PCR validated the expression profile of miR156, miR158, miR159, miR169, miR393, miR398, miR399 and miR408 along with their target genes. [score:8]
In both callus and leaf tissues, four miRNAs (miR156, miR169, miR398 and miR408) were up-regulated, two miRNAs (miR158, and miR393) were down-regulated with two other miRNAs (miR159 and miR396) only found in the callus tissue (Figure  5A, B). [score:7]
In callus and leaf tissues, miR408 showed the highest relative expression contrary to the sequencing analysis which indicated that the most abundant up-regulated miRNAs was miR156. [score:6]
Similarly, miR408 was induced in both callus and leaf tissues as revealed by the H-T sequencing (Table  1 and 2) and the expression profile was validated by the qPCR which showed that it was significantly up-regulated in both tissues (Figure  5A, B). [score:6]
miR408 has been reported as a negative regulator of plantacyanins [66] and the qPCR of plantacyanin showed a significant down-regulation in both tissues (Figure  6A, B). [score:5]
In total about 86 targets genes were predicted among which most of them encode transcription factors (TFs) targeted by miR156, miR159, miR165, miR166, miR169, miR319, miR408, miR829, miR2934, miR5029 and miR5642. [score:5]
The expression data was then compared against the H-T sequencing data analysis which revealed that five (miR156, miR169, miR398, miR399 and miR408) of the nine miRNAs in callus tissue and six (miR158, miR159, miR169, miR393, miR396 and miR408) of the nine miRNAs in leaf tissue showed expression patterns that were similar to those observed with the H-T sequencing data. [score:4]
To validate the sequencing results with the bioinformatics -based analysis and based on their key function in gene regulation, the following mature miRNA were selected for expression profile analysis: miR156, mi158, miR159, miR169, miR393, miR396, miR398, miR399 and miR408. [score:4]
are regulated by the identified miR156, miR159, miR165, miR166, miR169, miR319, miR408, miR829, miR2934, miR5029 and miR5642 (Tables  3 and 4). [score:2]
The regulation of genes encoding copper proteins by miR398 and miR408 suggests a link between copper homeostasis and its contribution to the activation of the A. thaliana response to LPS through mechanisms that are as yet unknown. [score:2]
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2
[+] score: 45
CUPREDOXIN has been proposed to be involved in xylan biosynthesis (Mutwil et al. 2009) and its down-regulation by miR408 could therefore affect cell wall integrity during senescence. [score:4]
Although UCC2 and PLANTACYANIN are both validated targets of miR408, they showed incoherent regulation by increasing as senescence progressed (Fig.   6), and are involved in processes, which have no known involvement in the senescence process (Dong et al. 2005). [score:4]
miR408 targets genes involved in many different biological processes and its senescence regulation could potentially have a variety of effects. [score:4]
Beyond the mobilization of nutrients, several miRNAs have target genes that could be of strong interest agriculturally, such as miR447, which controls phytic acid accumulation, or miR408 and sen-sRNA3, which have the potential to alter cell structure and integrity. [score:3]
However, strong induction of miR408 in leaves was accompanied by an increase in the cleavage products generated for all four of its validated targets (Fig.   5). [score:3]
Both miR408 and sen-sRNA3 are the first indications that sRNAs, which have demonstrated roles in many developmental processes (Gandikota et al. 2007), are also involved in what is often termed the final developmental stage, senescence. [score:3]
In contrast, two other targets, CUPREDOXIN and LAC3, both showed the expected reduction, which correlated with an increase of miR408 during senescence (Fig.   6). [score:3]
miR408 targets a host of genes involved in pollen tube guidance, copper metabolism and cell wall integrity (Sunkar & Zhu 2004) and has been shown to be responsive to low copper levels (Ab del-Ghany & Pilon 2008). [score:3]
However, the expression pattern of miR408 in siliques differed from leaves, only increasing very slightly (Fig.   2). [score:3]
Figure 5PARE sequences corresponding to precise miR408 target cleavage sites. [score:3]
Four of targets of miR408, which had increased cleavage products in senescence PARE data (Fig.   5), were analysed via northern blotting. [score:3]
However, PLANTACYANIN was detectable in early senescing siliques and increased further during late senescence, indicating incoherent regulation with miR408. [score:2]
Senescence is known to bring about a host of cell wall changes (Bleecker & Patterson 1997) and the regulation of CUPREDOXIN and LAC3 by miR408 imply that this miRNA may be playing an important role in the process. [score:2]
In keeping with the nutrient remobilization hypothesis, five out of the seven miRNAs (miR408, miR399, miR827, miR447 and miR398), which were senescence regulated, have been previously reported to be nutrient responsive (Fujii et al. 2005; Ab del-Ghany & Pilon 2008; Dugas & Bartel 2008; Pant et al. 2009; Kant et al. 2011), indicating that they may play a currently underappreciated role in controlling the flow of nutrients from vegetative to reproductive tissue. [score:2]
PARE libraries data showing the level of decay intermediates generated by miR408 -guided cleavage of PLATNACYANIN, AT1G72230, LAC3 and UCC2. [score:1]
sen-sRNA3 may therefore be working in concert with miR408 to alter cellular structure by targeting alpha tubulins and represents an interesting candidate for future studies investigating senescence -associated changes in cell structure. [score:1]
Bars represent the abundance of cleavage products guided by miR408. [score:1]
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3
[+] score: 23
Strikingly, miR408 accumulation and the subsequent down-regulation of the miR408 target genes in transgenic plants rescue developmental defects of the spl7 mutant. [score:7]
In fact HY5 binds to ∼40% of the coding loci in the Arabidopsis genome, including miR408, a Cu-deficiency target involved in the post-transcriptional degradation of its target multicopper oxidases Laccase-type (LAC12 and LAC13; Lee et al., 2007; Zhang et al., 2011). [score:5]
It is noteworthy that SPL7 and HY5 have been shown to physically interact and co-regulate the expression of a large cohort of genes, including miR408, which integrate both transcriptional and post-transcriptional regulations in response to light and Cu status (Zhang et al., 2014). [score:5]
In this case, other denoted Cu-miRNAs, such as miR408, target laccases (LAC3, LAC12, and LAC13; Yamasaki et al., 2007; Ab del-Ghany and Pilon, 2008). [score:3]
SQUAMOSA promoter binding protein-like7 regulated microRNA408 is required for vegetative development in Arabidopsis. [score:2]
Accordingly, the miR408 strategy could consist in shortening “ the Cu metallation line” by eliminating cuproproteins, located at the beginning of the spatiotemporal Cu delivery pathway, in order to allow further Cu delivery to other cuproproteins. [score:1]
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4
[+] score: 22
On the other hand, after 24 h exposure to 5 μM Cd, there was a significantly upregulated expression in WT roots of FSD1 and all pri-miRNAs, except pri-miR408, and an upregulated expression in WT leaves of pri-miR398c and pri-miR857. [score:11]
Although SPL7 has been put forward as the major regulator of Cu deficiency and a central regulator of Cu homeostasis [24], SPL7 also plays a role under control conditions since the total knockout of SPL7 in the spl7 mutant led to a downregulation of several miRNAs (pri-miR398b and c, pri-miR408 and pri-miR857) (Table  4). [score:7]
Under Cu deficiency, it activates transcription of the so-called cupro-miRNAs (miR397, miR398b/c, miR408 and miR857) targeting Cu-containing proteins, i. e. laccases and Cu/Zn superoxide dismutases [24]. [score:3]
Transcript levels of five pri-miRNAs (pri-miR397a, pri-miR398b, pri-miR398c, pri-miR408 and pri-miR857) and one gene (iron superoxide dismutase1, FSD1), all with GTAC motifs in their promoters, were determined in roots and leaves of WT and spl7 mutant plants exposed during 24 h to 2 μM Cu or 5 μM Cd (Table  4). [score:1]
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5
[+] score: 16
Other miRNAs from this paper: ath-MIR172b, ath-MIR319b
b The expression pattern of miR408/miR408* across various stages of arabidopsis development, and c the coverage pattern of sRNA fragments on the pri-miR319b transcript sequence From the analysis of the expression data deposited in the mirEX 2.0 database it is clear that the relation between the level of a given pri-miRNA and its mature miRNA may be complex; for example, in the case of miR172b from arabidopsis (Fig.   3A) we observe modest variation in the expression of the pri-miRNA transcript across all of the tested stages and tissues when compared to the increased accumulation of mature molecules observed in the leaves and the inflorescence. [score:7]
b The expression pattern of miR408/miR408* across various stages of arabidopsis development, and c the coverage pattern of sRNA fragments on the pri-miR319b transcript sequenceFrom the analysis of the expression data deposited in the mirEX 2.0 database it is clear that the relation between the level of a given pri-miRNA and its mature miRNA may be complex; for example, in the case of miR172b from arabidopsis (Fig.   3A) we observe modest variation in the expression of the pri-miRNA transcript across all of the tested stages and tissues when compared to the increased accumulation of mature molecules observed in the leaves and the inflorescence. [score:7]
The integration of the sRNA sequencing results with the miRNA precursor information allows to identify novel processing patterns of the pre-miRNA transcripts; for example, by using the tools built into the mirEX 2.0 interface a clear change can be identified between the processing efficiency of miR408/miR408* across various stages of arabidopsis development (Fig.   3B). [score:2]
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6
[+] score: 15
It was possible to confirm bacteria -induced increased expression for a resistance-like protein predicted to be targeted by miR535 (induced at 4 dpi) and for a plantacyanin predicted to be targeted by miR408 (induced at 8 dpi) (Figure 3). [score:7]
Other repressed families were miR397, miR398 and miR408, known to be involved in copper regulation and to be differentially expressed in response to biotic stress [34, 46, 47]. [score:4]
The miR397, miR398 and miR408 families were also repressed (log [2]fold < -1.4); they are involved in copper regulation by targeting laccases, copper superoxide dismutases and plantacyanins, respectively [34]. [score:4]
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7
[+] score: 13
Other miRNAs from this paper: ath-MIR156a, ath-MIR156b, ath-MIR156c, ath-MIR156d, ath-MIR156e, ath-MIR156f, ath-MIR157d, ath-MIR158a, ath-MIR159a, ath-MIR160a, ath-MIR160b, ath-MIR160c, ath-MIR161, ath-MIR162a, ath-MIR162b, ath-MIR163, ath-MIR164a, ath-MIR164b, ath-MIR165a, ath-MIR165b, ath-MIR166a, ath-MIR166b, ath-MIR166c, ath-MIR166d, ath-MIR166e, ath-MIR166f, ath-MIR166g, ath-MIR167a, ath-MIR167b, ath-MIR169a, ath-MIR170, ath-MIR172a, ath-MIR172b, ath-MIR173, ath-MIR159b, ath-MIR319a, ath-MIR319b, ath-MIR167d, ath-MIR169b, ath-MIR169c, ath-MIR169d, ath-MIR169e, ath-MIR169f, ath-MIR169g, ath-MIR169h, ath-MIR169i, ath-MIR169j, ath-MIR169k, ath-MIR169l, ath-MIR169m, ath-MIR169n, ath-MIR171b, ath-MIR172c, ath-MIR172d, ath-MIR391, ath-MIR395a, ath-MIR395b, ath-MIR395c, ath-MIR395d, ath-MIR395e, ath-MIR395f, ath-MIR397a, ath-MIR397b, ath-MIR398a, ath-MIR398b, ath-MIR398c, ath-MIR399a, ath-MIR399b, ath-MIR399c, ath-MIR399d, ath-MIR399e, ath-MIR399f, ath-MIR400, ath-MIR156g, ath-MIR156h, ath-MIR158b, ath-MIR159c, ath-MIR319c, ath-MIR164c, ath-MIR167c, ath-MIR172e, ath-MIR447a, ath-MIR447b, ath-MIR447c, ath-MIR773a, ath-MIR775, ath-MIR822, ath-MIR823, ath-MIR826a, ath-MIR827, ath-MIR829, ath-MIR833a, ath-MIR837, ath-MIR841a, ath-MIR842, ath-MIR843, ath-MIR845a, ath-MIR848, ath-MIR852, ath-MIR824, ath-MIR854a, ath-MIR854b, ath-MIR854c, ath-MIR854d, ath-MIR857, ath-MIR864, ath-MIR2111a, ath-MIR2111b, ath-MIR773b, ath-MIR841b, ath-MIR854e, ath-MIR833b, ath-MIR156i, ath-MIR156j, ath-MIR826b
Although the miR826 sequence was not found because of low expression abundance in –P, we found that –C -induced miR169b/c, –S -induced miR395, and –Cu -induced miRNAs (miR397, miR398, miR408, and miR857) were significantly suppressed in roots grown in –P conditions (Supplemental Table 5). [score:5]
Among the six target genes examined, the expressions of LAC4 and LAC17 were inversely related to miR397b (Fig. 3D), as were those of LAC3 and LAC13 to miR408 (Fig. 3G). [score:5]
For example, –Cu induced miRNAs (miR397, miR398, miR408, and miR857) that were suppressed by –C, –N, –S, and –P. [score:3]
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8
[+] score: 9
miR397, miR408, and miR857 also mediate the regulation of copper homeostasis by targeting several Laccase genes [15]. [score:4]
For miR156, miR160, miR169, miR171, miR172, miR395, miR397, miR398, miR399, miR408, miR775, miR780.1, miR827, miR842, miR846, miR857, and miR2111, their targets have been predicted and most of them were validated previously (Table 2). [score:3]
When plants were deprived of Cu, the abundance of miR397, miR398, miR408, and miR857 increased significantly. [score:1]
When exposed to Cu deficiency stress, rice and Arabidopsis over-accumulate miR397 and miR408 in the phloem. [score:1]
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9
[+] score: 7
Recently we described the up-regulation of miR398a/b and miR408 under water deficit and the corresponding down regulation of their respective targets, COX5b and plantacyanin [4]. [score:7]
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10
[+] score: 6
In case of miR408, a double mutant of AGO1 and AGO2 is required for its suppression to avoid mutual compensation of both AGOs (Maunoury and Vaucheret, 2011). [score:3]
AGO1 and AGO2 act redundantly in miR408 -mediated Plantacyanin regulation. [score:2]
MiR390 contains a 5′-adenosine and is selectively chosen by AGO7 (Montgomery et al., 2008), whereas miR408, also starting with an adenosine, promiscuously associates with AGO1 and AGO2 (Maunoury and Vaucheret, 2011). [score:1]
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11
[+] score: 6
Other miRNAs from this paper: ath-MIR398a, ath-MIR398b, ath-MIR398c
While SPL7 has been shown to act as a master regulator in Cu deficiency responses (Yamasaki et al., 2009, Bernal et al., 2012; Zhang et al., 2014), HY5 affects Cu homeostasis through the co-regulation of miR408 (Zhang et al., 2014). [score:3]
HY5 affects Cu homeostasis through the co-regulation of miR408 and, whereas FSD1 is co-regulated by both HY5 and SPL7 TFs, COPT2 is not (Zhang et al., 2014). [score:3]
[1 to 20 of 2 sentences]
12
[+] score: 5
In the transgenic lines drb1/DRB-C1, drb1/DRB-C2, drb1/DRB-C4, and drb1/DRB-C9, which displayed wild-type-like phenotypes, accumulation of miR164, miR165/166, miR398 and miR408 and target gene expression of CUP SHAPED COTLEDONS2 (CUC2; miR164), ARABIDOPSIS THALIANA HOMEOBOX PROTEIN14 (ATHB-14; miR165/166), REVOLUTA (REV; miR165/166), COPPER/ZINC SUPEROXIDE DISMUTASE2 (CSD2; miR398), and PLANTACYANIN (ARPN; miR408) were at approximately wild-type levels (Figures 3A,B). [score:5]
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13
[+] score: 3
Other miRNAs from this paper: ath-MIR156a, ath-MIR156b, ath-MIR156c, ath-MIR156d, ath-MIR156e, ath-MIR156f, ath-MIR166a, ath-MIR166b, ath-MIR166c, ath-MIR166d, ath-MIR166e, ath-MIR166f, ath-MIR166g, ath-MIR169a, ath-MIR171a, ath-MIR169b, ath-MIR169c, ath-MIR169d, ath-MIR169e, ath-MIR169f, ath-MIR169g, ath-MIR169h, ath-MIR169i, ath-MIR169j, ath-MIR169k, ath-MIR169l, ath-MIR169m, ath-MIR169n, ath-MIR171b, ath-MIR171c, ath-MIR395a, ath-MIR395b, ath-MIR395c, ath-MIR395d, ath-MIR395e, ath-MIR395f, ath-MIR396a, ath-MIR396b, ath-MIR399a, ath-MIR156g, ath-MIR156h, gma-MIR156d, gma-MIR156e, gma-MIR156c, gma-MIR166a, gma-MIR166b, gma-MIR156a, gma-MIR396a, gma-MIR396b, gma-MIR156b, gma-MIR169a, ath-MIR848, gma-MIR169b, gma-MIR169c, gma-MIR171a, gma-MIR171b, gma-MIR1527, gma-MIR1533, gma-MIR396c, pvu-MIR166a, pvu-MIR399a, gma-MIR396d, gma-MIR156f, gma-MIR169d, gma-MIR171c, gma-MIR169e, gma-MIR156g, gma-MIR396e, gma-MIR156h, gma-MIR156i, gma-MIR166c, gma-MIR166d, gma-MIR166e, gma-MIR166f, gma-MIR166g, gma-MIR166h, gma-MIR169f, gma-MIR169g, gma-MIR171d, gma-MIR171e, gma-MIR171f, gma-MIR171g, gma-MIR408d, ath-MIR5021, gma-MIR171h, gma-MIR171i, gma-MIR169h, gma-MIR169i, gma-MIR396f, gma-MIR396g, gma-MIR171j, gma-MIR395a, gma-MIR395b, gma-MIR395c, gma-MIR408a, gma-MIR408b, gma-MIR408c, gma-MIR156j, gma-MIR156k, gma-MIR156l, gma-MIR156m, gma-MIR156n, gma-MIR156o, gma-MIR166i, gma-MIR166j, gma-MIR169j, gma-MIR169k, gma-MIR169l, gma-MIR169m, gma-MIR169n, gma-MIR171k, gma-MIR396h, gma-MIR396i, gma-MIR171l, ath-MIR156i, ath-MIR156j, gma-MIR399a, gma-MIR156p, gma-MIR171m, gma-MIR171n, gma-MIR156q, gma-MIR171o, gma-MIR169o, gma-MIR171p, gma-MIR169p, gma-MIR156r, gma-MIR396j, gma-MIR171q, gma-MIR156s, gma-MIR169r, gma-MIR169s, gma-MIR396k, gma-MIR166k, gma-MIR156t, gma-MIR171r, gma-MIR169t, gma-MIR171s, gma-MIR166l, gma-MIR171t, gma-MIR171u, gma-MIR395d, gma-MIR395e, gma-MIR395f, gma-MIR395g, gma-MIR166m, gma-MIR169u, gma-MIR156u, gma-MIR156v, gma-MIR156w, gma-MIR156x, gma-MIR156y, gma-MIR156z, gma-MIR156aa, gma-MIR156ab, gma-MIR166n, gma-MIR166o, gma-MIR166p, gma-MIR166q, gma-MIR166r, gma-MIR166s, gma-MIR166t, gma-MIR166u, gma-MIR169v, gma-MIR395h, gma-MIR395i, gma-MIR395j, gma-MIR395k, gma-MIR395l, gma-MIR395m, gma-MIR169w
Basic blue proteins (Plantacyanins) are validated targets for miR408 family in Arabidopsis and rice [70, 72]. [score:3]
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14
[+] score: 3
Other miRNAs from this paper: ath-MIR156a, ath-MIR156b, ath-MIR156c, ath-MIR156d, ath-MIR156e, ath-MIR156f, ath-MIR157a, ath-MIR157b, ath-MIR157c, ath-MIR157d, ath-MIR159a, ath-MIR160a, ath-MIR160b, ath-MIR160c, ath-MIR165a, ath-MIR165b, ath-MIR166a, ath-MIR166b, ath-MIR166c, ath-MIR166d, ath-MIR166e, ath-MIR166f, ath-MIR166g, ath-MIR167a, ath-MIR167b, ath-MIR169a, ath-MIR172a, ath-MIR172b, ath-MIR159b, ath-MIR319a, ath-MIR319b, osa-MIR156a, osa-MIR156b, osa-MIR156c, osa-MIR156d, osa-MIR156e, osa-MIR156f, osa-MIR156g, osa-MIR156h, osa-MIR156i, osa-MIR156j, osa-MIR160a, osa-MIR160b, osa-MIR160c, osa-MIR160d, osa-MIR166a, osa-MIR166b, osa-MIR166c, osa-MIR166d, osa-MIR166e, osa-MIR166f, osa-MIR167a, osa-MIR167b, osa-MIR167c, osa-MIR169a, ath-MIR167d, ath-MIR169b, ath-MIR169c, ath-MIR169d, ath-MIR169e, ath-MIR169f, ath-MIR169g, ath-MIR169h, ath-MIR169i, ath-MIR169j, ath-MIR169k, ath-MIR169l, ath-MIR169m, ath-MIR169n, ath-MIR172c, ath-MIR172d, ath-MIR394a, ath-MIR394b, ath-MIR396a, ath-MIR396b, osa-MIR394, osa-MIR396a, osa-MIR396b, osa-MIR396c, ath-MIR403, ath-MIR156g, ath-MIR156h, ath-MIR159c, ath-MIR319c, ath-MIR167c, ath-MIR172e, osa-MIR156k, osa-MIR156l, osa-MIR159a, osa-MIR159b, osa-MIR159c, osa-MIR159d, osa-MIR159e, osa-MIR159f, osa-MIR319a, osa-MIR319b, osa-MIR160e, osa-MIR160f, osa-MIR166k, osa-MIR166l, osa-MIR167d, osa-MIR167e, osa-MIR167f, osa-MIR167g, osa-MIR167h, osa-MIR167i, osa-MIR169b, osa-MIR169c, osa-MIR169d, osa-MIR169e, osa-MIR169f, osa-MIR169g, osa-MIR169h, osa-MIR169i, osa-MIR169j, osa-MIR169k, osa-MIR169l, osa-MIR169m, osa-MIR169n, osa-MIR169o, osa-MIR169p, osa-MIR169q, osa-MIR172a, osa-MIR172b, osa-MIR172c, osa-MIR166g, osa-MIR166h, osa-MIR166i, osa-MIR408, osa-MIR172d, osa-MIR167j, osa-MIR166m, osa-MIR166j, ath-MIR414, osa-MIR414, osa-MIR396e, ath-MIR856, ath-MIR858a, osa-MIR169r, osa-MIR396f, ath-MIR2111a, ath-MIR2111b, osa-MIR396g, osa-MIR396h, osa-MIR396d, ath-MIR858b, ath-MIR156i, ath-MIR156j
Further targets were predicted for certain more conserved miRNAs including miR166, miR167, miR319, miR 396 and miR408, miR856 and miR1310 (Additional file 2 Table S1). [score:3]
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15
[+] score: 3
Based on A. thaliana annotation, miRNA target genes were found for several conserved miRNAs in hybrid yellow poplar (Table S4): ARF10 (miR160), CYP96A1 (miR162), NAC (miR164), PHB and DNA -binding factor (miR165/166), NF-YA8 (miR169), SCARECROW transcription factor family protein (miR170/171), SNZ (miR172), MYB (miR319), GRF (miR396), copper ion binding (miR408), SPL11 (miR529) etc. [score:3]
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16
[+] score: 3
Among the 30 miRNA families detected at 2dpi, 10 (miR160, miR161, miR167, miR171, miR172, miR390, miR394, miR396, miR398 and miR408) displayed contrasting expression levels between viruses. [score:3]
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17
[+] score: 3
In addition to miR398, three microRNAs, namely, miR397, miR408, and miR857, target genes that encode Cu-containing proteins (Ab del-Ghany and Pilon, 2008). [score:3]
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18
[+] score: 2
Other miRNAs from this paper: ath-MIR403
The function and tissue specificity of aly-MIR408 is not known [25]. [score:1]
Two Ae-LncRNAs are micro -RNA precursors for ath-MIR403 and aly-MIR408 (MFE of −71.8 and −74.2 kcal/mol respectively). [score:1]
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19
[+] score: 2
SQUAMOSA promoter binding protein−like7 regulated microRNA408 is required for vegetative development in Arabidopsis. [score:2]
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20
[+] score: 1
The abundance of some miRNA (miR172 and miR397) induced by cold stresses increased in the OE lines but many other miRNAs (miR166, miR393, miR396 and miR408) induced by cold were unaltered [36]. [score:1]
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21
[+] score: 1
The abundance of miR160, miR168, miR170, miR393, miR395, miR408 and miR850 were specifically increased. [score:1]
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22
[+] score: 1
Other miRNAs from this paper: ath-MIR159a, ath-MIR162a, ath-MIR162b, ath-MIR166a, ath-MIR166b, ath-MIR166c, ath-MIR166d, ath-MIR166e, ath-MIR166f, ath-MIR166g, ath-MIR169a, ath-MIR171a, ath-MIR159b, ath-MIR319a, ath-MIR319b, osa-MIR162a, osa-MIR166a, osa-MIR166b, osa-MIR166c, osa-MIR166d, osa-MIR166e, osa-MIR166f, osa-MIR169a, osa-MIR171a, ath-MIR169b, ath-MIR169c, ath-MIR169d, ath-MIR169e, ath-MIR169f, ath-MIR169g, ath-MIR169h, ath-MIR169i, ath-MIR169j, ath-MIR169k, ath-MIR169l, ath-MIR169m, ath-MIR169n, ath-MIR171b, ath-MIR171c, ath-MIR390a, ath-MIR390b, ath-MIR396a, ath-MIR396b, ath-MIR398a, ath-MIR398b, ath-MIR398c, ath-MIR399a, ath-MIR399b, ath-MIR399c, ath-MIR399d, ath-MIR399e, ath-MIR399f, osa-MIR396a, osa-MIR396b, osa-MIR396c, osa-MIR398a, osa-MIR398b, osa-MIR399a, osa-MIR399b, osa-MIR399c, osa-MIR399d, osa-MIR399e, osa-MIR399f, osa-MIR399g, osa-MIR399h, osa-MIR399i, osa-MIR399j, osa-MIR399k, ath-MIR159c, ath-MIR319c, osa-MIR156k, osa-MIR159a, osa-MIR159b, osa-MIR159c, osa-MIR159d, osa-MIR159e, osa-MIR159f, osa-MIR319a, osa-MIR319b, osa-MIR162b, osa-MIR166k, osa-MIR166l, osa-MIR169b, osa-MIR169c, osa-MIR169d, osa-MIR169e, osa-MIR169f, osa-MIR169g, osa-MIR169h, osa-MIR169i, osa-MIR169j, osa-MIR169k, osa-MIR169l, osa-MIR169m, osa-MIR169n, osa-MIR169o, osa-MIR169p, osa-MIR169q, osa-MIR171b, osa-MIR171c, osa-MIR171d, osa-MIR171e, osa-MIR171f, osa-MIR171g, osa-MIR166g, osa-MIR166h, osa-MIR166i, osa-MIR171h, osa-MIR408, osa-MIR171i, osa-MIR166m, osa-MIR166j, ath-MIR414, osa-MIR414, osa-MIR390, osa-MIR396e, ptc-MIR156k, ptc-MIR159a, ptc-MIR159b, ptc-MIR159d, ptc-MIR159e, ptc-MIR159c, ptc-MIR162a, ptc-MIR162b, ptc-MIR166a, ptc-MIR166b, ptc-MIR166c, ptc-MIR166d, ptc-MIR166e, ptc-MIR166f, ptc-MIR166g, ptc-MIR166h, ptc-MIR166i, ptc-MIR166j, ptc-MIR166k, ptc-MIR166l, ptc-MIR166m, ptc-MIR166n, ptc-MIR166o, ptc-MIR166p, ptc-MIR166q, ptc-MIR169a, ptc-MIR169aa, ptc-MIR169ab, ptc-MIR169ac, ptc-MIR169ad, ptc-MIR169ae, ptc-MIR169af, ptc-MIR169b, ptc-MIR169c, ptc-MIR169d, ptc-MIR169e, ptc-MIR169f, ptc-MIR169g, ptc-MIR169h, ptc-MIR169i, ptc-MIR169j, ptc-MIR169k, ptc-MIR169l, ptc-MIR169m, ptc-MIR169n, ptc-MIR169o, ptc-MIR169p, ptc-MIR169q, ptc-MIR169r, ptc-MIR169s, ptc-MIR169t, ptc-MIR169u, ptc-MIR169v, ptc-MIR169w, ptc-MIR169x, ptc-MIR169y, ptc-MIR169z, ptc-MIR171a, ptc-MIR171b, ptc-MIR171c, ptc-MIR171d, ptc-MIR171e, ptc-MIR171f, ptc-MIR171g, ptc-MIR171h, ptc-MIR171i, ptc-MIR319a, ptc-MIR319b, ptc-MIR319c, ptc-MIR319d, ptc-MIR319e, ptc-MIR319f, ptc-MIR319g, ptc-MIR319h, ptc-MIR319i, ptc-MIR390a, ptc-MIR390b, ptc-MIR390c, ptc-MIR390d, ptc-MIR396a, ptc-MIR396b, ptc-MIR396c, ptc-MIR396d, ptc-MIR396e, ptc-MIR396f, ptc-MIR396g, ptc-MIR398a, ptc-MIR398b, ptc-MIR398c, ptc-MIR399a, ptc-MIR399b, ptc-MIR399d, ptc-MIR399f, ptc-MIR399g, ptc-MIR399h, ptc-MIR399i, ptc-MIR399j, ptc-MIR399c, ptc-MIR399e, ptc-MIR408, ptc-MIR482a, ptc-MIR171k, osa-MIR169r, ptc-MIR171l, ptc-MIR171m, ptc-MIR171j, ptc-MIR1448, osa-MIR396f, osa-MIR2118a, osa-MIR2118b, osa-MIR2118c, osa-MIR2118d, osa-MIR2118e, osa-MIR2118f, osa-MIR2118g, osa-MIR2118h, osa-MIR2118i, osa-MIR2118j, osa-MIR2118k, osa-MIR2118l, osa-MIR2118m, osa-MIR2118n, osa-MIR2118o, osa-MIR2118p, osa-MIR2118q, osa-MIR2118r, osa-MIR396g, osa-MIR396h, osa-MIR396d, ptc-MIR482d, ptc-MIR169ag, ptc-MIR482b, ptc-MIR482c, pde-MIR159, pde-MIR162, pde-MIR166a, pde-MIR166b, pde-MIR169, pde-MIR171, pde-MIR390, pde-MIR396, pde-MIR482a, pde-MIR482b, pde-MIR482c, pde-MIR482d, pde-MIR946, pde-MIR947, pde-MIR949a, pde-MIR950, pde-MIR951, pde-MIR952a, pde-MIR952b, pde-MIR952c, pde-MIR1311, pde-MIR1312, pde-MIR1313, pde-MIR1314, pde-MIR3701, pde-MIR3704a, pde-MIR3704b, pde-MIR3712
Three P. taeda miRNA families, including pta-MIR319, pta-MIR398 and pta-MIR408, were not found in P. densata. [score:1]
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[+] score: 1
Eight cis-NATs were coincidently the precursors of miR162, miR167, miR171, miR172, miR398 and miR408 (Table  3). [score:1]
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Furthermore, we found that miR408 and miR396a are involved in leaf senescence (Additional file 2: Table S3), it was consistent with Thatcher’s deep sequence results [54]. [score:1]
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