{'fraction_non_alphanumeric': 0.040718270287878174, 'fraction_numerical': 0.026344720876257176, 'mean_word_length': 5.050628233555063, 'pattern_counts': {'":': 0, '<': 10, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Clade-Specific Arabidopsis Gene Connects Primary Metabolism and Senescence

Nearly immobile, plants have evolved new components to be able to respond to changing environments. One example is Qua Quine Starch (QQS, AT3G30720), an Arabidopsis thaliana-specific orphan gene that integrates primary metabolism with adaptation to environment changes. SAQR (Senescence-Associated and QQS-Related, AT1G64360), is unique to a clade within the family Brassicaceae; as such, the gene may have arisen about 20 million years ago. SAQR is up-regulated in QQS RNAi mutant and in the apx1 mutant under light-induced oxidative stress. SAQR plays a role in carbon allocation: overexpression lines of SAQR have significantly decreased starch content; conversely, in a saqr T-DNA knockout (KO) line, starch accumulation is increased. Meta-analysis of public microarray data indicates that SAQR expression is correlated with expression of a subset of genes involved in senescence, defense, and stress responses. SAQR promoter::GUS expression analysis reveals that SAQR expression increases after leaf expansion and photosynthetic capacity have peaked, just prior to visible natural senescence. SAQR is expressed predominantly within leaf and cotyledon vasculature, increasing in intensity as natural senescence continues, and then decreasing prior to death. In contrast, under experimentally induced senescence, SAQR expression increases in vasculature of cotyledons but not in true leaves. In SAQR KO line, the transcript level of the dirigent-like disease resistance gene (AT1G22900) is increased, while that of the Early Light Induced Protein 1 gene (ELIP1, AT3G22840) is decreased. Taken together, these data indicate that SAQR may function in the QQS network, playing a role in integration of primary metabolism with adaptation to internal and environmental changes, specifically those that affect the process of senescence.


INTRODUCTION
Due to their sessile lifestyle, plants have developed various mechanisms to modulate their internal processes and responses to external stresses by mechanisms including metabolism and senescence. Plants are constantly modifying existing genes and evolving new genes from nongenic sequence; these are thought to enable adaptation to exposure to changing environmental conditions (Neme and Tautz, 2013;Arendsee et al., 2014). Many of the ∼13% of genes in the Arabidopsis genome (Lamesch et al., 2012) that encode proteins with no assigned functional motifs and completely unknown functions are relatively new species-specific (orphan) or lineagespecific genes (Gollery et al., 2006;Neme and Tautz, 2013;Arendsee et al., 2014). In recent years, the Arabidopsis thalianaspecific orphan gene Qua Quine Starch (QQS, AT3G30720) has been revealed as a component of a signaling network that controls metabolic responses to internal and environmental stresses (Li et al., 2009(Li et al., , 2015bArendsee et al., 2014;Li and Wurtele, 2015). Several highly lineage-specific genes including Constitutive Expresser of PR Genes 5 (CPR5; Jing et al., 2007) and others (Horan et al., 2008;Luhua et al., 2013;Arendsee et al., 2014) have been shown to be important in enabling an organism to survive under biotic and abiotic stresses.
Several genes of unknown function have altered transcript abundance in QQS RNAi knockdown mutant in A. thaliana ecotype Col-0 (Li et al., 2009) in a microarray experiment using Affymetrix ATH1 arrays. One such gene, AT1G64360 (we name it SAQR) is up-regulated in QQS RNAi lines. This gene is also one of the 119 genes of unknown functions that are up-regulated twofold or more in the ascorbate peroxidase knockout (KO) mutant apx1; the apx1 mutant shows an increased susceptibility to light-induced oxidative stress (Davletova et al., 2005). APX1 (AT1G07890), a cytosolic hydrogen peroxide scavenger, was found to be essential for chloroplastic protection from reactive oxygen species damage and sufficient for this protection in the absence of stromal/mitochondrial APX relatives (Davletova et al., 2005). SAQR expression in leaf is up-regulated about twofold under oxidative stress, ABA (abscisic acid) treatment and heat stress conditions, but does not change much under osmotic stress, salt stress, and cold stress conditions (Luhua et al., 2008). SAQR expression in root is up-regulated about sixfold to osmotic stress, and responds to oxidative stress, salt stress, cold stress, ABA treatment, and heat stress (up-regulated about twofold). But SAQR-OE lines do not show significantly increased tolerance to oxidative stress (Luhua et al., 2008). SAQR-OE lines flower earlier under short day (SD) conditions compared to controls (Luhua et al., 2008).
The altered expression of SAQR under light-induced oxidative stress, its relatively recent origin (with homologs in only five other genomes), and the potential relationship between SAQR and QQS motivated this study. Our working hypothesis was that SAQR plays a role in the QQS network. Here, we use a combination of genomic, bioinformatic, transcriptomic, and molecular approaches to further characterize the SAQR gene in relation to senescence, metabolism, and stress responses in the plant.
Transgenic A. thaliana plants (ecotype Columbia-0, Col-0) were generated using the floral dipping method (Clough and Bent, 1998) and selected as previously described (Li et al., 2007). Plants were grown in Sun Gro Sunshine LC1 soil mix in pots in flats in a greenhouse room at 22 • C under constant fluorescent light, of approximately 130 µmol m −2 s −1 for most experiments. Similar conditions but an 8 h light/16 h dark cycle was used for the SD flowering experiment. For starch content experiments, plants were germinated on 0.5X Murashige and Skoog medium plates supplemented with 1% sucrose, transferred to pots with soil and grown in a growth chamber at 22 • C under fluorescent light of approximately 130 µmol m −2 s −1 using a long day (LD) conditions of 16 h light/8 h dark.

Bioinformatics Analysis
MetaOmGraph was used to analyze the transcriptomic expression pattern of SAQR using the normalized experimental data and metadata (metadata includes gene, experiment and sample annotations) from 71 experiments comprising 956 Affymetrix ATH1 microarray arrays [dataset "At956-2008" (Li et al., 2007(Li et al., , 2009]. MetaOmGraph is available online 2 . Cis-acting motifs present within the SAQR promoter region upstream of the transcription start site were analyzed using Athena (O'Connor et al., 2005), Plant Care 3 , and the Plant Promoter Database (Yamamoto and Obokata, 2008).

Histochemistry
Twelve independent SAQR promoter-GUS lines were screened by GUS staining. At least five transgenic plants from each of at least three representative independent SAQR promoter-GUS lines were harvested at separate stages of development and from the induction experiments. The plants were stained according to a protocol as previously described (Li et al., 2007). Similarly appearing seedlings were selected, one unstained was photographed and five were processed to be stained. Staining patterns were observed using a Zeiss Axio Zoom microscope at the Iowa State Microscopy and NanoImaging Facility (Ames, IA, USA).

Molecular Methods
Starch content was analyzed qualitatively by staining plants just before flowering with I 2 /KI as previously described (Li et al., 2009), and quantified using an amyloglucosidase/α-amylase and GOPOD (Megazyme) protocol (Li et al., 2009). Experiments were performed with two independent T 2 SAQR-OE lines, SALK_052233C (saqr), and wild type (WT) plants, with five plants per genotype per replicate, and three replicates per genotype. This experiment was repeated twice.
Plants/leaves were treated by one of three different dark-stress protocols to induce senescence. For whole seedlings, plants were grown for 1 week, and then covered with aluminum foil for 5 days and exposed to light for 4 days (WPD); controls were kept under constant light under the same conditions (Weaver and Amasino, 2001). For attached leaves, fully expanded true leaves attached to 12-DAI (days after imbibition) plants were carefully covered with aluminum foil for 3 days (DIS; van der Graaff et al., 2006). For detached leaves, fully expanded true leaves were detached from 12-DAI plants and floated on water in a Petri dish covered with aluminum foil for 3 days (DET; van der Graaff et al., 2006). Leaves in similar positions on untreated plants were used as controls.
For experiments with stress or hormone treatment, seedlings were excised at 12 DAI into water and either untreated or treated with 1 µM kinetin (cytokinin; Coenen and Lomax, 1998), 500 µM hydrogen peroxide (oxidative stress; Luhua et al., 2008), 10 µM methyl jasmonate (JA; Staswick et al., 1992), or 50 µM 1aminocyclopropane-1-carboxylic acid (ACC; ethylene; Beaudoin et al., 2000) for 4 days. For salt treatments, flats of 12-DAI plants in pots were allowed to dry till they were slightly light in weight and then watered with either filtered water or water containing 200 mM NaCl (Wu et al., 1996) and observed after 4 days. Drought stress was simulated by allowing seedlings to go unwatered for 15 days until wilted.

RNA-Seq
The SAQR-KO (saqr) line SALK_052233C and WT plants were grown and harvested at 20 DAI, at the end of the light cycle under LD conditions as previously described (Li et al., 2015b). Independent randomizations for plant growth and harvest were used for each of two biological replicates. The RNAs were extracted and purified as previously described (Li et al., 2015b). The 200-bp short-insert library and the transcriptome sequencing were conducted at BGI Americas 4 as described before (Li et al., 2015b). The cleaned reads were aligned, mapped reads were counted, and genes were tested for differential expression to compare saqr and WT. P-values and Q-values were generated as previously described (Li et al., 2015b). The three genes with P-values less than 0.00001 were considered to be differentially expressed, which led to false discovery rate control at approximation 13% in this experiment. RNA-Seq data have been deposited in the NCBI Sequence Read Archive 5 , accession number: SRP072428.

Evolutionary and Structural Characterization of SAQR
Senescence-Associated and QQS-Related is a single copy gene that encodes an 85 amino acid protein. Five other sequenced genomes have SAQR homologs: A. lyrata, A. halleri, Capsella rubella, C. grandiflora, and Boechera stricta (Supplementary Figure S1). Each of these species is in the Brassicaceae family within a monophyletic clade (Mitchell-Olds et al., 2005;Windsor et al., 2006). No SAQR homologs were detected in other eukaryotes or prokaryotes, including two other sequenced members of Brassicaceae (Yang et al., 2013): Brassica rapa and Eutrema salsugineum.
The six species that possess a SAQR homolog belong to a lineage of organisms that separated from the lineage containing the Brassica and Eutrema genera about 20 million years ago (MYA; Clauss and Koch, 2006;Domazet-Lošo et al., 2007;Arendsee et al., 2014). The monophyletic group that contains these six species also includes the genera Turritis, Olimarabidopsis, Halimolobus, and Crucihimalaya ( Figure 1A). It is possible that these genera also contain a SAQR homolog, but full genomes of members of these genera were not publicly available as of June 12, 2016.
To experimentally confirm the SAQR mRNA sequence, RACE and RT-PCR experiments were conducted using RNA from A. thaliana Col-0 rosette leaves at the beginning of flowering. The enriched mRNA covered the entirety of the SAQR CDS ( Figure 1B, Supplementary Figure S2). The 5 UTR is identical to that of the TAIR10-predicted model, including 58-bp nucleotides upstream of the reported translational start site. The 3 UTR extends 577 bp downstream of the stop codon, which is 29 bp shorter than the TAIR10-predicted gene model. The SAQR homologs in Arabidopsis species and Boechera stricta have a Brassicaceae. Blast searches of the NCBI database show three genera contain a SAQR homolog: Arabidopsis, Capsella, and Boechera. Blue font, genomes containing an SAQR homolog. Underlined names, species with sequenced genomes. Green lines, the monophyletic group containing SAQR. Simplified tree structure adapted from Koch and Kiefer (2005), Clauss and Koch (2006), Schranz et al. (2006), Windsor et al. (2006). (B) SAQR gene model, as determined by 5 and 3 RACE. Black boxes, 5 and 3 UTR; lined gray box, coding region; black line, intron; gray line, non-transcribed region. Constructs used to make the SAQR promoter-GUS and SAQR-OE lines are pictured in relation to the gene model. The BAR, 35S, and GUS/GFP reporter are not to scale. Nucleotide positions numbered in relation to the ATG start codon of SAQR. (C) Structural models of the SAQR protein predicted using I-TASSER. Helices are colored red; sheets, yellow; loops, green. Image made using PyMol (DeLano and Bromberg, 2002). similar gene structure: they are generally conserved in the 5 UTR, CDS, and 3 UTR regions, and the encoded proteins are similar in length and sequence. In contrast, the translation start site for the Capsella variant is predicted to start from an ATG farther upstream in the 5 UTR than the start codon for the other four species, thus the Capsella SAQR-like protein has an additional 38 aa in the N terminal. All SAQR homologs identified have a single intron that follows immediately after the stop codon ( Figure 1B).
The cis-acting motifs in the SAQR promoter region upstream of the transcription start site (−715 to −58 bp; Figure 1B) were analyzed. The analyses indicate that this 658-bp promoter region contains 27 cis-acting motifs (Supplementary Table S1). These include two binding sites for AGAMOUS-LIKE 15 (AGL15). AGL15 is a nuclear protein that delays flowering and senescence when overexpressed (Fang and Fernandez, 2002). The early flowering phenotype of SAQR-OE mutants (Luhua et al., 2008) may be associated with the presence of this motif. The SAQR promoter also has 10 lightresponsive/circadian-associated regions, and multiple stressrelated motifs: a HEAT-SHOCK ELEMENT (HSE) cis-motif that can induce genes in response to heat shock, oxidative stress, and other stresses (Storozhenko et al., 1998); binding sites for DEHYDRATION-RESPONSIVE ELEMENT BINDING (DREB) proteins; an ABA signaling motif; and a salicylate response motif.
The SAQR protein has no conserved domains. Secondary structure predictions using I-Tasser (Roy et al., 2010) indicate that SAQR may be composed of 10% α-helix and up to 10% of β-strands, while the major part of the protein (78-91%) is predicted in the loop region (Supplementary Table S2); a single helical region is predicted ( Figure 1C). Analysis of the SAQR protein sequence using MetaDisorderMD2 (Kozlowski and Bujnicki, 2012) indicates that it has a largely disordered structure within two regions between amino acids 1-29 and 71-85, a somewhat more ordered section within amino acids 43-57, and a global disorder tendency of 0.642 (Supplementary Figure S3A). "Disordered" denotes proteins lacking a fixed tertiary structure. Interestingly, disorder does not appear to be evolutionarily stable under random processes, and must be specifically selected for (Schaefer et al., 2010); one of the most highly conserved proteins in the plant kingdom, the LATE EMBRYOGENESIS ABUNDANT (LEA) protein, EMB1 (Wurtele et al., 1993) is also one of the most disordered (Eom et al., 1996). The term "LEA" is now broadly used to referred to genes in any of the multiple families of genes that are abundant during embryo desiccation, and LEAs, including EMB1, are thought to change to an ordered conformation under desiccation or cryodamaging conditions, and act to stabilize cellular structures and molecules (Eom et al., 1996;Reyes et al., 2005;Battaglia et al., 2008;Olvera-Carrillo et al., 2011).
The predicted physical characteristics of the SAQR protein (thought not its aa sequence) are reminiscent of a class of LEA-like stress proteins called hydrophilins (López-Martínez et al., 2012): a relatively small size (SAQR is 85 aa), a glycine content greater than 6% (SAQR is 9.4%), a high hydrophilicity index (Supplementary Figure S3B), and a predicted structure dominated by large disordered regions and coils. Some LEAs, including several members of subgroups of the hydrophilins, have been experimentally shown to confer resistance to osmotic stress and other abiotic stressors (Shinozaki et al., 2003;Battaglia et al., 2008). A senescenceassociated LEA, SAG21 (SENESCENCE ASSOCIATED GENE 21; LEA5), is localized in mitochondria and upregulated under biotic and abiotic stresses; SAG21 antisense plants flower earlier under LD conditions (Salleh et al., 2012).
The five stress response motifs in the promoter region of SAQR and the hydrophilin-like physical characteristics of SAQR protein, implicate the SAQR gene may play a potential role in stress response. This finding led us to evaluate the expression patterns of the SAQR gene in Arabidopsis under conditions of developmental and environmental stresses.

SAQR Transcript Accumulation Profile is Influenced by Senescence and Stress
Our microarray experiment revealed that the SAQR transcript accumulates to >2-fold greater levels in QQS RNAi mutant compared to WT control plants, which indicates that SAQR transcript accumulation is negatively influenced by QQS. We evaluated global SAQR expression (Figure 2A) using MetaOmGraph 2 and a large public microarray dataset "At956-2008" (Li et al., 2007(Li et al., , 2009. Under standard growth conditions in WT plants, as shown in Figure 2A, SAQR expression is highest in fully expanded leaves, at the base of the mature inflorescence, in senescing leaves, and cauline leaves. Expression is moderate within the hypocotyl and the plant rosette prior to flowering. SAQR accumulation is below detection limits in the roots, developing fruits, and very young seedlings and seeds. In addition, SAQR expression is increased after plant exposure to drought stress, and under high-osmotic conditions in leaf pieces enriched with guard cells. Expression of SAQR is also increased in specific mutants of hormone metabolism or signaling. These mutants include: abi1, ABA insensitive (Wu et al., 2003); aba1, ABA deficient (Koornneef et al., 1982;Niyogi et al., 1998); ein2, ethylene insensitive (Oh et al., 1997); coi1, JA insensitive mutant (He et al., 2002); cir1, which has altered sensitivity to ethylene, JA, and salicylate (Murray et al., 2002); and myb29, MYB29 promotes glucose-induced biosynthesis of aliphatic glucosinolates (Miao et al., 2013). SAQR expression is down-regulated by 53-fold in a mute background; the MUTE gene is required for stomatal development (de Marcos et al., 2015).
Individual leaves undergo mitotic growth, expansion, senescence, and death (Lim et al., 2007). Unlike for many other species, these processes are minimally influenced by the reproductive status of the Arabidopsis plant (Noodén and Penney, 2001). Therefore, during vegetative growth and reproduction, individual rosette leaves of an Arabidopsis plant are at varying stages of the maturity/senescence program. SAQR expression is lower in younger leaves and higher in the oldest leaves of plants of the same age ( Figure 2B; microarray data from Schmid et al., 2005). SAQR is also more highly expressed in the distal (older) section of a moderately mature leaf, compared to the petiole or proximal section of that leaf.
This increased accumulation of SAQR transcript in leaves that are transitioning from expansion to senescence, under some stress conditions, and in several mutants of genes of stress hormone synthesis or signaling, further supports the relationship between SAQR and senescence/stress.

Processes Overrepresented among Genes Co-expressed with SAQR
To further investigate the potential function of SAQR, we identified the genes that are highly co-expressed with SAQR and then evaluated the overrepresentation of regulons and pathways among these genes. To do this, we used the Spearman's correlation function in MetaOmGraph. We chose  Schmid et al., 2005). Leaf #7 of 17-DAI plants is divided into: 7P, proximal half, 7D distal half, and 7Pt, petiole; the distal part of the leaf contains the oldest tissue. CL, cauline leaf of 21-DAI plants; SL, senescent rosette leaf of 21-DAI plants; IN1, internode 1; IN2, internode 2. Each point on the X-axis represents SAQR expression in a given tissue sample. The Y-axis represents the normalized expression level for the SAQR gene, mean expression level for all genes across the chip is normalized to 100, as indicated by the black arrow. mRNA transcriptome profiling dataset "At956-2008" is visualized using MetaOmGraph software (http://www.metnetdb.org).
Spearman's correlation to avoid the major shortcoming of Pearson's correlation-sensitivity to outliers (Mukaka, 2012). This analysis indicates that 133 genes had a positive correlation coefficient of >0.7 with SAQR across multiple environmental, genetic and developmental conditions.
Arabidopsis genes have been globally classified into regulons by pairwise co-expression analysis of the "At956-2008" microarray dataset followed by Markov Chain Clustering (MCL) of the resultant co-expression matrix . Regulons in eukaryotes can be defined as groups of genes that are co-expressed across multiple environmental, developmental and genetic conditions; genes in a regulon are predicted to play roles in a particular process, such as systemic acquired resistance, oxidative respiration, leucine catabolism, or sperm cell differentiation Borg et al., 2011). Distinct from the concept of pathways, in which the genes have a known biochemical function and a known relationship to one another, regulons are derived from a computational clustering of co-expressed genes; these genes could code for, e.g., regulatory, catalytic, structural, or signaling proteins or non-coding RNAs. In the analysis of , regulons were numbered by size, and a predominant function/process was assigned to each regulon based on overrepresentation analysis of the annotations for the genes with known function in that regulon. The genes within a regulon with no prior known function can be considered potential candidates to play a role in the function/process assigned to that regulon. For example, the FAP1-3 genes were members of a regulon assigned as fatty acid biosynthesis, based on the preponderance of genes in that regulon being enzymes of fatty acid biosynthesis ; this regulon membership led to experimental analysis that identified the FAP genes as regulators of fatty acid biosynthesis (Ngaki et al., 2012).
After identifying the genes that are co-expressed with SAQR, we checked for overrepresentation of regulons among them ( Table 1 and Supplementary Table S3). Twenty-eight of the genes co-expressed with SAQR are involved in defense responses; this includes almost 70% of the genes in defenserelated Regulon #25. Ten of the SAQR-co-expressed genes are in signaling/disease resistance-related Regulon #35 (23% of the genes in that regulon), and 12 in phloem/vascular tissues Regulon #57 (57% of the genes in that regulon). Most other SAQRco-expressed genes are grouped within smaller regulons of unspecified function, or are members of the large photosynthesis regulon (#2). Six SAQR-co-expressed genes are not members of any regulon (they comprise < 0.04% of this large gene group). The 133 genes with a positive correlation coefficient of >0.7 were classified by gene membership in co-expression regulons . P-values were calculated within R, using the Fisher's Exact Test. mRNA transcriptome profiling dataset "At956-2008" was used. Overrepresentation * * P-values < 0.001.
Using the same "At956-2008" dataset, we identified 134 genes whose expression patterns had a negative correlation coefficient (< −0.6) with that of SAQR, and determined the regulon membership of this group of genes ( Table 2 and Supplementary  Table S4). Over one third of the genes that negatively correlate with SAQR are members of the mitosis regulon (#4), and two are in the nuclear replication/chromosome organization regulon (#47). These two processes would likely be minimal during senescence or in times of stress.
In a second approach to develop hypotheses on SAQR function, we identified pathways that are overrepresented among the genes that are correlated with SAQR expression across multiple conditions. For this, we used MetNet tools (Sucaet et al., 2012;Li and Wurtele, 2015;Li et al., 2015a) and the "At956-2008" dataset (Li et al., 2007(Li et al., , 2009. AraCyc 6 , AGRIS 7 , and MetNet 8 pathways/networks were evaluated; since there are no pathways specifically designated as developmental or stress-response processes such as "mitosis" or "flowering" or "defense against bacteria" in these annotations, the overrepresentation of such processes would not be detected by this approach. Pathways that are highly overrepresented among the 1,250 genes (a positive Spearman correlation coefficient > 0.5 with the SAQR transcript; Table 3) include pathways involved in the synthesis and signaling of the defensive/stress-related responses: JA signaling; camalexin, traumatine, ornithine, and glucosinolates. Photosynthesis-related pathways (chlorophyll degradation, oxygenic photosynthesis, photosynthesis light reactions, photorespiration, sucrose synthesis, and the Calvin cycle) are also overrepresented. These overrepresented pathways overlap in part with the overrepresented regulons of the genes that are positively co-expressed with SAQR in analysis (Table 1), in which photosynthesis and defense regulons are wellrepresented. The pathways overrepresented among the 596 genes negatively correlated with SAQR expression (a negative Spearman correlation coefficient < −0.5 with the SAQR transcript) include glycolysis, gluconeogenesis, auxin degradation, isoleucine degradation, and the mevalonate pathway ( Table 4).
Many of the overrepresented pathways among SAQR-coexpressed genes are related to senescence. Decreases in primary metabolic and photosynthetic pathways are tightly linked to senescence (Buchanan-Wollaston et al., 2003;Lim et al., 2007). JA signaling participates in regulating senescence, as well as pathogen stress, and JA application can induce senescence (He et al., 2002;Devoto and Turner, 2003). The JA signaling mutant coi1, in which the SAQR transcript is increased (Figure 2A), shows delayed leaf senescence (Buchanan-Wollaston et al., 2005). The auxin pathway, overrepresented among genes negatively correlated to SAQR, may delay senescence (Mueller-Roeber and Balazadeh, 2014). The overrepresentation of mitosis among those genes negatively correlated to SAQR (Table 2) would be expected of mature or senescing tissue, as cell division is curtailed in the later stages of the life cycle of Arabidopsis leaves (Gonzalez et al., 2012).
These findings led us to examine the relationship between senescence and SAQR. To do this, we focused on senescenceassociated genes (SAGs), defined as genes that are differentially expressed when senescence occurs naturally and/or is induced by darkness (van der Graaff et al., 2006). Some SAGs have a defined function, but notable percentages have no known function. The approximately 2,900 SAGs that are differently regulated during natural senescence but not under induced senescence include The 134 genes with a negative correlation coefficient of < −0.6 were classified by gene membership in co-expression regulons . P-values were calculated within R, using the Fisher's Exact Test. mRNA transcriptome profiling dataset "At956-2008" was used. Overrepresentation * * P-values < 0.001 and * P < 0.05. Transcripts with a positive Spearman co-expression correlation coefficient > 0.5 with SAQR. MetNet Online's "Overrepresentation Search" tool was used; this considers pathways in AGRIS, AraCyc, and MetNet. 1,250 transcripts were identified as positively co-expressed with SAQR. Font legend: light reaction-related; Degradation and assimilation; Biosynthesis primary metabolism; Signaling; Biosynthesis of defense compounds. mRNA transcriptome profiling dataset "At956-2008" was used. Transcripts with a negative Spearman correlation coefficient < −0.5 with the SAQR transcript. MetNet Online's "Overrepresentation Search" tool was used; 596 transcripts were negatively co-expressed. Font legend: degradation and assimilation; Biosynthesis primary metabolism; Signaling. mRNA transcriptome profiling dataset " At956-2008" was used. genes in the JA, ethylene, and salicylic acid metabolic pathways (van der Graaff et al., 2006;Breeze et al., 2011;Allu et al., 2014) as well as SAQR itself. Fifty-three genes -40% of all of the genes that are positively co-expressed with SAQR -are SAGs that are up-regulated under natural senescence but not under induced senescence (Supplementary Table S5). In contrast, very few genes that are negatively co-expressed with SAQR are up-regulated under induced senescence (Supplementary Table S6); also, few SAQR-co-expressed genes are down-regulated under conditions of either natural or induced senescence (Supplementary Tables  S5 and S6). These findings are consistent with a relationship between SAQR, SAQR-co-expressed genes and plant natural senescence.

SAQR is Expressed in Vasculature of Maturing and Senescing Leaves and Tissues
To evaluate the spatial and temporal changes in SAQR expression during development, we fused the SAQR promoter into a construct containing the GUS tag and introduced the construct into the Arabidopsis Col-0 background ( Figure 1B; SAQR::GUS lines). SAQR is expressed in the vasculature of the regions of leaves and cotyledons that are approaching senescence, and continues to increase during senescence, then reducing as the cells die (Figure 3A). SAQR expression is detected at the tips of the leaves, is strongest in the vasculature as senescence progresses, and ends in the petiole. No SAQR expression was observed in young growing tissues. No SAQR expression was detected in the root at any stage of development (not shown). In 45-DAI plants, the older leaves express SAQR toward the apical end, which is where senescence first occurs. In 56-DAI plants, a stage of the Arabidopsis lifecycle in which most leaves are senescing, SAQR expression localizes progressively from the distal to proximal portions of the leaf as these sections die ( Figure 3B). SAQR is also expressed in aging cauline leaves, and stigma of flowers, funiculus and receptacle of siliques ( Figure 3C). The analysis of SAQR promoter::GUS lines is consistent with, and expands on, the SAQR expression profile analysis. Specifically, many of the genes in the vasculature regulon (#57) are co-expressed with SAQR (Table 1) and SAQR expression is localized to the vasculature (Figure 3). Also, older leaves (and older regions of leaves) contain higher levels of SAQR transcript (Figure 2).

SAQR is Induced under Specific Senescence Conditions
The increased SAQR transcript in senescence-related mutants of JA, ethylene, and ABA synthesis and signaling (Figure 2A), and the stress-related binding motifs in the SAQR promoter (Supplementary Table S1), implies that SAQR might be regulated by these hormones.
To investigate which conditions of senescence might increase SAQR expression and to identify the spatial patterns of expression, we examined patterns of SAQR-promoter-driven GUS expression under induced senescence (Figure 4). Because various methods of inducing senescence activate different genes (van der Graaff et al., 2006), we used three diverse methods to induce senescence. (1) Young seedlings were placed in darkness for 5 days and then exposed to constant light for 3 days ("light stress"; Weaver and Amasino, 2001). (2) Fully expanded true leaves attached to the plant were covered for 3 days ("dark stress"). (3) Fully expanded true leaves were detached and floated in water in the dark for 3 days ("dark stress of detached leaves"; van der Graaff et al., 2006).
Under the light stress, SAQR expression was increased in cotyledons but was reduced in true leaves compared to untreated controls (Figure 4A, Light). We also tested the effects of three different stresses -high salt, oxidative stress, and droughton SAQR expression. Plant responses differed depending on the stress. Seedlings treated with NaCl did not show SAQR expression (Figure 4A, Salt) even though the plants are visibly damaged by the treatment (not shown). In contrast, seedlings dried to wilting (Figure 4A, Drought) or those treated with hydrogen peroxide (Figure 4B, Oxidative stress) show increased SAQR expression in the vasculature of the cotyledon and leaf.
Senescence-Associated and QQS-Related responds to different senescence-associated hormones. Seedlings treated with the artificial cytokinin (CK), kinetin, predictably were greener and showed reduced SAQR expression (Figure 4B, Cytokinin). Methyl JA treatments also showed reduced SAQR expression (Figure 4B, MeJA), whereas the JA-signaling coi1 mutant showed increased SAQR expression (Figure 2A). In contrast, treatment with ethylene precursor increases senescence of the plant tissue noticeably more than the control, and results in significant increases in SAQR expression in the vasculature (Figure 4B, ACC).
Dark stress induces senescence in mature leaves, although somewhat different group of genes are expressed under dark stress compared to natural senescence (van der Graaff et al., 2006). Interestingly, SAQR expression did not change after either dark treatment (data not shown).
These results imply that SAQR is a SAG that responds to specific developmental signals coupled with environmental cues. The pattern of SAQR expression from germination to maturity implies that SAQR is up-regulated under natural senescence of cotyledons and true leaves.

RNA-Seq of SAQR Knockout Line
To observe changes in gene expression associated with altered SAQR expression, we sequenced the RNA of rosette leaves of the SAQR KO line saqr and WT controls grown in a randomized complete block design under LD conditions and harvested at the end of the light cycle. The saqr line SALK_052233C contains a T-DNA insertion in the SAQR gene sequence and did not accumulate detectable SAQR RNA (Supplementary Figure S2). We also ordered a second putative SAQR T-DNA line, SALK_063861, from ABRC, but were unable to confirm the insertion in the genome. In addition to the expected decreased expression of SAQR (Supplementary  Table S7), only two other genes were significantly differentially regulated when false discovery rate was controlled at 0.13 (Supplementary Table S7). These were a dirigent-like encoding gene (AT1G22900) and ELIP1 (AT3G22840; EARLY LIGHT INDUCED PROTEIN 1).
AT1G22900, which encodes a disease-responsive protein that is a rather distant member of the dirigent family, was upregulated sevenfold in the saqr mutant. The "dirigent" annotation implies an element that controls conformational chemistry (Burlat et al., 2001); the AT1G22900 protein has 32% identity to AT2G28670, which is required for correct localization of suberin (Hosmani et al., 2013). AT1G22900 is expressed in leaves at a low level under standard growth conditions; however, its expression is  increased in response to plant exposure to Pseudomonas syringae (Schmid et al., 2005) and is suppressed in response to ABA treatment of plants exposed to P. syringae (Mohr and Cahill, 2006). Thus, both SAQR and AT1G22900 appear to be involved in stress responses, and AT1G22900 expression may be suppressed by SAQR. ELIP1 is decreased 3.6-fold in the saqr mutant. ELIP1 is a member of the chlorophyll binding protein family and controls free chlorophyll levels (Hutin et al., 2003;Casazza et al., 2005;Yao et al., 2015). ELIP1 is expressed highly in young plants, seeds and flowers. ELIP1 has a protective role under UV-B and photosensitive stress in high light or cold (Hutin et al., 2003). It is up-regulated quickly and transiently by light including UV-B, and is up-regulated under a variety of stresses including P. syringae infection (Hutin et al., 2003;Rossini et al., 2006;Hruz et al., 2008); in spruce ELP-like proteins are induced by weevil and western spruce budworm infection (Ralph et al., 2007).

Phenotypic Characterization of SAQR T-DNA Knockout and Transgenic Overexpression Lines
Taken together, our data indicates that SAQR plays a role in stress resistance. To directly investigate the function of SAQR in Arabidopsis, we generated SAQR-OE lines driven by the 35S promoter ( Figure 1B). The OE plants were verified for curtailed SAQR expression by semi-quantitative RT-PCR (Supplementary Figure S2). When grown under constant light or under LD conditions the KO and OE lines appear phenotypically similar to Col-0 control plants ( Figure 5A). The SAQR-OE lines show an early-flowering phenotype (also in Luhua et al., 2008), and fewer leaves are required for flowering ( Figure 6). However, saqr plants do not show any difference in flowering time when grown under SD conditions (Figure 6). When plants are treated with salt, cytokinin, or ACC, saqr and SAQR-OE mutants show a similar visual phenotype to the WT controls (Supplementary Figure S4).
Because alteration of QQS changes starch biosynthesis and accumulation, and SAQR expression is up-regulated in QQS RNAi lines, but QQS does not have significantly altered accumulation of transcript in saqr mutant, we proposed that SAQR might act downstream of QQS. Therefore, we evaluated leaf starch in mutants with altered accumulation of SAQR. At the FIGURE 6 | Senescence-Associated and QQS-Related overexpression mutants have fewer leaves upon flowering. SAQR KO mutant, WT control, and OE mutant plants were grown in a completely randomized design under SD conditions. Bars represent mean ± SEM of rosette leaf count of four to six biological replicate plants upon flowering. Single-factor analysis of variance (ANOVA) with Dunnett's method was used to compare each mutant with WT. * P < 0.05, * * P < 0.01. end of the light cycle in plants grown in a completely randomized design under LD conditions, leaf starch content is decreased about 13% in the saqr mutant and increased about 20-35% in the SAQR-OE lines, when compared to WT plants (Figures 5B,C). Thus, permutations in SAQR expression strongly impact starch accumulation.

DISCUSSION
Senescence in plants can be defined as the cellular signaling program that leads to the degeneration and eventual death of tissue. More than simply the process of aging affecting the plant, senescence is a process that is triggered by various internal and external factors and that serves to recycle nutrients and manage exposure to stresses (Noodén et al., 1997;Lim et al., 2007).
Senescence is precisely induced and regulated by development, hormones, darkness, nutrient limitation, damage by pathogens and abiotic environmental stresses (Noodén et al., 1997;Lim et al., 2007;Liang et al., 2014). It has been proposed that this tightly controlled process evolved to secure maximal nutrient efficiency under limiting conditions (Leopold, 1961;Masclaux-Daubresse et al., 2008). During senescence, anabolic processes like photosynthesis and metabolite synthesis are reduced (Buchanan-Wollaston et al., 2003), while multiple molecular components undergo controlled degradation for transport through the phloem to the rest of the plant (Thompson et al., 1998;Liu et al., 2008).
In Arabidopsis, each leaf has its own timeline of expansion, maturity, and senescence, independent of the reproductive stage of the plant; the development occurs despites the removal or disruption of flowering tissue, with reproductive factors only effecting individual leaves in the context of a separate, whole plant-scale program of senescence (Noodén and Penney, 2001;Lim et al., 2007). Under controlled, optimized conditions, each leaf grows from a vegetative meristem, through division and cellular expansion. Cells transition from division to expansion starting from the tip of the leaf (Andriankaja et al., 2012;Gonzalez et al., 2012). The leaf reaches full photosynthetic activity by approximately 12 days and visible senescence begins approximately 20-24 days after emergence. The yellowing of the leaf and transfer of nutrients via the vascular system begins at this stage, again proceeding from the tip to the base of the leaf. The localization of SAQR expression in the vasculature and its timing from the tip to the base of the leaf increasing just prior to the onset of senescence, indicates a possible involvement of this gene in nutrient recycling.
The final, destructive process, generally termed leaf "death, " occurs 28-32 days after the leaf 's initial emergence (Lim et al., 2007). The speed of this process is controlled by light dosage, individual leaves exposed to decreased light levels show increased senescence (Nooden et al., 1996;Weaver and Amasino, 2001). As the reproductive program commences, rosette leaf formation ceases, and nutrient allocation is shifted to the growing reproductive structures. Increased metabolic activity in mitochondria and peroxisomes, and decreased peroxisomal catalase and cytosolic ascorbate peroxidase (APX1) activities result in a spike in the production of reactive oxygen species (ROS; Beers, 1997;Zimmermann et al., 2006). This spike, coupled with a general decrease in general antioxidant activity, augments oxidative damage, and death ensues (Procházková and Wilhelmová, 2007).
Although the molecular function of SAQR is unclear, there are several indications of its potential biological functions (Figure 7). Reflecting the patterns of senescence itself, during natural senescence, SAQR is up-regulated in the cotyledons and true leaves, whereas in light stress-induced senescence, SAQR expression is up-regulated only in the cotyledons, and is repressed in the true leaves. This is evidenced not only in the SAQR expression patterns, but also by the tight correlation of expression of many SAG genes to SAQR. Several factors might lead to this distinction between SAQR expression in true leaves and cotyledons. Cotyledon senescence is less understood than leaf senescence, but the processes have developmental and molecular differences (Du et al., 2014). Cotyledon senescence is induced by different signals than is true leaf senescence; it has been suggested that these differences are due to the cotyledon's early function as a storage organ (Weaver and Amasino, 2001). Some sets of genes are differentially expressed in cotyledons compared to true leaves; many of the genes specific to or differentially expressed in soybean cotyledons are involved in early mobilization of nutrients, indicating a rapid transfer of resources to the seedling (Brown and Hudson, 2015). This mimics the nutrient transfer process that occurs under senescence of older leaves (Diaz et al., 2008). In fact, when plant are treated by light after dark, naturally senescing true leaves that are already undergoing transfer of nutrients to the rest of the plant exhibit less delay in senescence compared to younger leaves (Weaver and Amasino, 2001). The increase of SAQR expression in cotyledons under light stress likely reflects this difference between cotyledons and early true leaves.
The maltose excess 1 (mex1) mutant is a null mutant of a chloroplastic maltose transporter (Lu et al., 2006;Stettler et al., 2009). Young leaves of mex1 plants have increased maltose and starch and show signs of chloroplast degradation relative to WT plants (Stettler et al., 2009); increased maltose and starch levels and chloroplast degradation are general characteristics of mature/senescing leaves of WT (and mex1) plants (Stettler et al., 2009;Avila-Ospina et al., 2014). Analysis of the transcriptomic data from Stettler et al. (2009) shows the SAQR transcript level is increased 3.3-fold in young leaves (leaf # 6-8) in mex1 relative to WT, whereas in mature leaves (leaf # 13-15) SAQR transcript level is not significantly different in mex1 and WT plants. These data indicate that SAQR may be related to senescence, be sensitive to changes in carbohydrate metabolism, while also playing a role in reducing starch content, as can be seen from SAQR-OE plants (Figure 7). FIGURE 7 | Model of SAQR function. Decreased QQS expression or increased stress cause greater starch accumulation. SAQR expression is up-regulated by multiple stresses and down-regulated by QQS (Li et al., 2015b), JA, and CK (data of Figure 4). Multiple stresses increase starch accumulation; QQS, MeJA (Babst et al., 2005) and CK decrease starch accumulation. SAQR expression increases starch accumulation. Our working model is that SAQR mediates changes in starch accumulation. SAQR expression also decreases time to flowering under short day conditions. This change in flowering time may occur via some aspect of starch metabolism, or by a mechanism independent of starch metabolism. Green arrows, promotes; red blocked lines, represses.
Although SAQR influences starch levels, alterations in the expression of SAQR do not cause a notable difference in the rate or severity of leaf senescence in plants grown under standard conditions. This is not entirely unexpected, as genes up-regulated under senescence have many functions: transcription factors, catabolic enzymes (e.g., proteases and kinases), or signaling and structural functions. Many SAG genes may not directly affect senescence. For example, senescence is unaffected in homozygous mutants of the cysteine protease encoding gene SAG12 (Otegui et al., 2005).
Senescence-Associated and QQS-Related is one of the class of mobile RNAs which are translocated in the plant (Thieme et al., 2015). This mobility may provide a clue about its mechanism of action. SAQR expression is predominantly confined to the vasculature during early and mid-senescence, and its mobility may explain how it induces the overall increase in starch that can be seen in leaves of SAQR-OE plants. Similarly, the detection of two binding sites of AGL15 -overexpression of which delays flowering and senescence (Fang and Fernandez, 2002) -in SAQR promoter, alterations in SAQR impact flowering time, with overexpression of SAQR inducing an early flowering phenotype (Luhua et al., 2008, and this study), combined with the location and timing of SAQR expression, indicates that SAQR could play a role as a mobile messenger in flowering.

CONCLUSION
Senescence-Associated and QQS-Related is a clade-specific gene, present in three closely related Brassicaceae genera. One role of such clade-specific genes is thought to be the adaptation of plants to stress (Luhua et al., 2013;Arendsee et al., 2014). In this study, we present SAQR as a component of the interconnected networks integrating stress signaling, metabolism, and senescence. SAQR is up-regulated in QQS RNAi mutant lines, and QQS expression negatively affects starch levels (Li et al., 2009;Li and Wurtele, 2015). Alterations in the expression of SAQR change levels of starch accumulation, but QQS expression is not altered in the KO mutant. Taken together, these results indicate that SAQR may participate in the QQS network, downstream of QQS. SAQR is up-regulated under conditions of natural senescence, and is co-expressed with genes involved in senescence, defense, and stress responses, implying a complex role in the interplay between primary metabolism and adaptation to the stresses that occur alongside the process of senescence.
These analyses of SAQR function provide a clue as to the mechanisms by which plants integrate metabolism with natural and environmentally induced senescence, advancing our fundamental knowledge of the regulatory and metabolic network that mediates carbon allocation. The data also inform the current view of the evolutionary significance of clade-specific genes. A number of proteins encoded by orphans and other cladespecific genes have defined functions (Cai et al., 2008;Heinen et al., 2009;Knowles and McLysaght, 2009;Li et al., 2009Li et al., , 2010, and the QQS gene itself interacts with highly conserved proteins and thus can function in multiple plant species (Li et al., 2015b). If this is the case for SAQR, these studies provide an avenue to the potential use of this gene to modulate stress adaptation and/or composition for economically valuable crop plants.

AUTHOR CONTRIBUTIONS
DJ and LL designed the research; DJ, WZ, SH, RY, and LL performed the research; DJ, XZ, CD, DN, RY, TS, and LL analyzed the data; DJ, DN, EW, and LL wrote the paper.

FUNDING
LL and EW are grateful for the funding from the National Science Foundation under award number MCB-0951170 and support from the Center for Metabolic Biology at Iowa State University (to LL). DJ was supported by the Iowa State University Alliance for Graduate Education and the Professoriate (AGEP) program from the National Science Foundation.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.