Transcriptomics of shading-induced and NAA-induced abscission in apple (Malus domestica) reveals a shared pathway involving reduced photosynthesis, alterations in carbohydrate transport and signaling and hormone crosstalk
- Hong Zhu1, 3,
- Chris D Dardick2Email author,
- Eric P Beers3,
- Ann M Callanhan2,
- Rui Xia1, 3 and
- Rongcai Yuan^1, 3
© Zhu et al; licensee BioMed Central Ltd. 2011
Received: 19 June 2011
Accepted: 17 October 2011
Published: 17 October 2011
Naphthaleneacetic acid (NAA), a synthetic auxin analogue, is widely used as an effective thinner in apple orchards. When applied shortly after fruit set, some fruit abscise leading to improved fruit size and quality. However, the thinning results of NAA are inconsistent and difficult to predict, sometimes leading to excess fruit drop or insufficient thinning which are costly to growers. This unpredictability reflects our incomplete understanding of the mode of action of NAA in promoting fruit abscission.
Here we compared NAA-induced fruit drop with that caused by shading via gene expression profiling performed on the fruit abscission zone (FAZ), sampled 1, 3, and 5 d after treatment. More than 700 genes with significant changes in transcript abundance were identified from NAA-treated FAZ. Combining results from both treatments, we found that genes associated with photosynthesis, cell cycle and membrane/cellular trafficking were downregulated. On the other hand, there was up-regulation of genes related to ABA, ethylene biosynthesis and signaling, cell wall degradation and programmed cell death. While the differentially expressed gene sets for NAA and shading treatments shared only 25% identity, NAA and shading showed substantial similarity with respect to the classes of genes identified. Specifically, photosynthesis, carbon utilization, ABA and ethylene pathways were affected in both NAA- and shading-induced young fruit abscission. Moreover, we found that NAA, similar to shading, directly interfered with leaf photosynthesis by repressing photosystem II (PSII) efficiency within 10 minutes of treatment, suggesting that NAA and shading induced some of the same early responses due to reduced photosynthesis, which concurred with changes in hormone signaling pathways and triggered fruit abscission.
This study provides an extensive transcriptome study and a good platform for further investigation of possible regulatory genes involved in the induction of young fruit abscission in apple, which will enable us to better understand the mechanism of fruit thinning and facilitate the selection of potential chemicals for the thinning programs in apple.
Most apple trees tend to bear more fruit than they can support to maturity. While such over-cropping may help ensure reproductive success, it can lead to branch damage, low quality fruit and drastic reductions in cropping in the following year. Consequently, over-cropping is an undesirable trait. Although a self-thinning process known as the "June drop" can help alleviate the negative impact of excessive fruit bearing, apple growers often find it necessary to apply chemical thinners to remove excess fruit at an early stage of fruit development. Naphthaleneacetic acid (NAA) is one of the most commonly used chemical thinners, but its efficacy varies among different varieties and is affected by environmental conditions following the application.
The physiological mechanisms by which NAA promotes the abscission of young apple fruitlets have been discussed [1–3]. Principal among these mechanisms is a reduction in carbohydrate availability to the developing fruit either by interference with photosynthesis [4, 5] or by reduced translocation of metabolites, including photosynthates, from leaves to the fruit . The importance of photosynthesis and photosynthate translocation in fruit retention is further illustrated by experiments involving shading or removal of leaves, two treatments that cause extensive apple fruit abscission [7, 8]. Moreover, normal fruitlet abscission, which can occur both shortly after anthesis and during the "June drop", has been at least partly attributed to the competition for carbohydrates among young fruit and between fruit and vegetative shoots [7, 9]. Together these findings indicate that photosynthesis is critical for fruit development and treatments that alter the levels of carbohydrates available for translocation to the developing fruit can influence the fruit set of apple trees.
In addition to its effects on carbohydrate levels, NAA application apparently enhances apple fruitlet abscission through increased ethylene production [10–13]. Application of ethephon, which releases ethylene, effectively promoted the abscission of young fruit in apple , while aminoethoxyvinylglycine (AVG), a strong inhibitor of ethylene biosynthesis, reduced fruit ethylene production and young fruit abscission in apple [13, 15]. The NAA-induced increase in ethylene production is positively correlated with changes in the expression of ethylene biosynthesis and signal transduction genes, including five ACC synthase genes (MdACS), one ACC oxidase gene (MdACO), four ethylene receptor genes (MdETR and MdERS) and one ethylene signal transduction gene (MdCTR1) [12, 13, 16]. It has been reported that apple fruitlet abscission is preceded by a stimulation of ethylene biosynthesis and an acquisition in the sensitivity to ethylene . Also, a recent microarray analysis of the abscission-related transcriptome in tomato flower abscission zone (AZ) revealed a link between the acquisition of ethylene sensitivity in the AZ and altered expression of auxin-regulated genes due to auxin depletion .
Cell wall breakdown and cell separation are required within the fruit abscission zone (FAZ) for fruit abscission. Cell wall remodeling genes are induced in the FAZ [18, 19] and the activities of cell wall remodeling and degrading enzymes, including expansin, pectate lyase, polygalacturonase and β-1,4-glucanase, have been shown to markedly increase, concomitant with increased ethylene production, catalyzing the loosening and breakdown of the cell wall and promoting fruit drop [20–23].
The findings summarized above suggest that abscission-associated carbohydrate-, ethylene- and auxin-responsive signaling pathways engage in crosstalk with each other and with other signaling pathways to coordinate abscission. Increasing knowledge of changes in gene expression associated with abscission will aid in the development of strategies for more predictable thinning results and set the stage for the development of improved thinners. Moreover, the identification of regulatory networks that are central to apple fruit abscission will enhance our basic understanding of organ abscission, which is a fundamental aspect of plant development. In this study, we compared NAA and shading-induced abscission, through transcriptome analysis, to reveal the molecular mechanism controlling the induction of apple fruitlet abscission. Results show that NAA, like shading, imposes a stress signal through photosynthesis impairment and causes altered hormone signaling and triggers fruit abscission.
Effects of NAA and shading on young fruit abscission and ethylene production by young fruit and leaves
Expression profiling of young fruit abscission induced by NAA and shading
To identify genes whose expression patterns correlated with the fruit abscission induced by NAA and shading, gene expression profiling was performed using the FAZ at three time points (D1, D3 and D5), a period spanning the earliest phase of the treatment-dependent increase in abscission above control levels (Figure 1). For each time point, labeled cDNA from the FAZ of NAA- or shading-treated trees was hybridized to reference cDNA from the FAZ of non-treated trees for the same time point, so as not to confound the changes in gene expression caused by treatments with those occurring during fruit development.
Seven-hundred-twenty-two genes from NAA-treated sample hybridizations and 1057 genes from shading-treated sample hybridizations showed statistically significant changes in expression (Additional file 1, Table S1). Of these genes, 168 were differentially expressed in FAZs from both NAA- and shading-treated samples, and 86% (145) of those displayed similar expression patterns, indicating that NAA- and shading-induced abscission share some common signaling pathways.
Time points and selected genes were grouped according to expression pattern by hierarchical cluster analysis (Additional file 2, Figure S1). Following NAA treatment, the largest number of differentially expressed genes was detected at 3 d, followed by 5 and 1 d after NAA treatment, suggesting that NAA caused a transient effect during the abscission induction. In contrast, shading led to a sustained increase in the number of differentially expressed genes from 1 to 5 d. For both treatments, there were approximately equal numbers of genes showing upregulation or downregulation by 1 d, but induced genes outnumbered repressed genes for 3 and 5 d.
The two array datasets were further analyzed using K-means clustering (KMC) for genes whose expression pattern was correlated with the induction of fruit abscission (Additional file 3, Table S2). The cluster names were assigned upregulated (u), unchanged (o) or downregulated (d) for each time point. NAA-responsive genes were classified into 8 main clusters. As shown in Additional file 4 (Figure S2), the largest group (comprised of clusters 2 and 6) of differentially regulated genes was detected at 3 d. Shading-responsive genes were divided into 10 clusters. Similar to the NAA dataset, most clusters reflected either up- or down-regulation at one or two time points. In contrast to the NAA treatment, two clusters in the shading dataset (2 and 7) showed a persistent repression or induction at all three time points, and one cluster (5) comprised 51 genes that were first downregulated at 1 d, but later upregulated at 5 d after treatment (Additional file 4, Figure S2).
The chloroplast is the site of the energy transduction and Calvin Cycle phases of photosynthesis and starch metabolism. Reductions in chloroplast function in response to shading have been reported previously  and were consistent with our transcript profiles from shading-treated trees. We found that NAA treatment also led to strong reductions in photosynthesis-related gene expression, which supported a previous report . Although shading downregulated a larger number of photosynthesis-related genes than NAA, in both treatments over 90% of the differentially expressed genes related to chloroplast function were repressed (Additional file 5, Table S3). The affected genes function in light-harvesting, oxygen evolution, electron transport and carbon fixation. Shading-repressed genes were also involved with chlorophyll biosynthesis, chloroplast DNA binding, thylakoid formation and carbon utilization. However, only a small overlap was observed between this latter group of shading-repressed genes and those repressed by NAA, indicating that NAA and shading repress photosynthesis-related processes through partially distinct mechanisms.
Carbohydrate metabolism and sugar sensing
Not surprisingly, the repression of photosynthesis-related gene expression caused by both treatments was linked with changes in the expression of genes in the metabolism category, with the largest subset of differentially expressed genes belonging to carbohydrate metabolism. Affected genes within this category include those associated with glycolysis, the cleavage of glycosidic bonds, sugar phosphorylation and signal transduction. Thirty-eight carbohydrate metabolism genes showed significantly altered expression in response to NAA, while 149 genes were regulated by shading (Additional file 5, Table S3). NAA-induced genes included those involved with glycolysis and starch degradation, such as pyruvate kinase, alcohol dehydrogenase, amylase and limit dextrinase. Similarly, shading treatment induced genes associated with glycolysis, but also led to changes in the expression of genes for carbohydrate active enzymes, i.e., induction of beta-glycosidases and glycosyltransferase and repression of alpha-glycosidases. Genes related to sucrose metabolism, e.g., sucrose phosphate synthase (SPS) and sucrose phosphate phosphatase (SPP), were inversely regulated by the two treatments: NAA repressed SPS and induced SPP, while shading induced SPS and repressed SPP. A group of genes identified as cytosolic and cell wall invertases were induced by shading in the FAZ, indicating a possible increase in sucrose breakdown in the FAZ. These same invertases were not differentially regulated by NAA, however. The expression of three distinct putative alkaline/neutral invertase genes was reduced after both NAA and shading treatments. Sorbitol dehydrogenase (SDH) was repressed by both NAA and shading, while NADP-dependent D-sorbitol-6-phosphate dehydrogenase (S6PDH) was induced by NAA but repressed by shading. Many ADP/UDP-glucose pyrophosphorylase genes responsible for starch synthesis were downregulated by shading, but none was differentially regulated by NAA.
Sugar signals are generated from various source organs in response to stresses and changes in metabolic fluxes . Hexokinase (HXK) senses glucose levels and SNF-related protein kinases (SnRKs) are important to metabolic reprogramming in response to changes in carbohydrate levels . Shading altered the expression of various carbohydrate kinases, but HXK was upregulated by NAA only in the FAZ.
Trehalose serves as a storage carbohydrate and stress protectant, which usually accumulates during starvation conditions [25, 27]. Trehalose metabolism genes were downregulated by shading but not by NAA treatment. Specifically, genes encoding trehalose-6-phosphate synthase (TPS) and trehalose-6-phosphate phosphatase (TPP) were repressed in the shading-treated FAZ, suggesting a decreased trehalose level in the FAZ resulted from shading.
A large group of transporters for sugars, lipids, amino acids and metal ions were differentially expressed in response to both treatments. The expression of all sorbitol/sucrose transporter genes was consistently repressed by both treatments, while shading downregulated more genes related to general sugar transport, such as hexose transporters. A class of genes related to membrane and cytoskeleton function, including microtubule, vesicle-mediated membrane transporter and cell adhesion genes, were found exclusively repressed by NAA. In all, twice as many transport-related genes were affected by shading compared to NAA, among which several ion transporters, especially for calcium and potassium, were significantly upregulated by shading while others for water transport were downregulated. Another group of transporters, ATP-binding cassette transporters (ABC transporters), were induced by both treatments.
Cell cycle-related genes
Similar numbers of cell cycle genes were identified in the two datasets of differentially expressed genes, including two classes of regulatory genes, cyclin and cyclin-dependent kinase (CDK), being repressed by both NAA and shading. Several cell division control proteins were also downregulated while one CDK inhibitor was upregulated in the FAZ.
Hormone synthesis and signaling
Many genes involved in different hormone synthesis and signaling pathways showed significant expression changes in response to both treatments. ABA has been implicated as a regulator of stress-induced senescence [28, 29]. In this study, NAA appeared to have limited effect on ABA-related genes in that it only upregulated three 9-cis-epoxycarotenoid dioxygenase (NCED) genes and a zeaxanthin epoxidase gene, which encode key enzymes in ABA biosynthesis. In contrast, shading altered 26 ABA-related genes involved in biosynthesis, including NCED, short chain dehydrogenase/reductase (SDR) and abscisic aldehyde oxidase (AAO), and several genes related to ABA signaling, including protein phosphatase type 2C and ABA responsive elements-binding factors.
A divergence in auxin-related gene expression was noted for shading- versus NAA-treated trees. Only two auxin-induced SAUR-like and two auxin transport genes showed significant changes in response to shading. However, 21 auxin-related genes were differentially altered by NAA and these genes included IAA-amido synthase, auxin-amidohydrolase, AUX/IAA proteins and various auxin response factors (ARFs). Genes related to auxin polar transport were also affected by NAA, with auxin influx carriers induced and efflux carriers largely repressed. The latter effect diverged from that observed for shading-treated trees, where the same auxin efflux carrier genes were induced (Additional file 5, Table S3).
In response to both treatments, genes for ethylene biosynthesis and perception were upregulated, including 1-aminocyclopropane-1-carboxylate synthase (ACS) and oxidase (ACO) and two classes of ethylene receptors (ERS and ETR). Coinciding with the increased ethylene biosynthesis (Figure 2), the expression of spermidine synthase gene, a key gene related to polyamine biosynthesis, was consistently reduced by both treatments.
Genes involved with cytokinin and gibberellic acid (GA) signaling pathways were downregulated by shading and NAA. Also, shading increased the expression of a GA2-oxidase gene, which is responsible for GA catabolism. Regarding brassinosteroid (BR)-related genes affected by shading, a BR oxidase gene was repressed, while a BR-signaling kinase gene was induced 3 d after shading. In contrast, expression of BR-related genes was not affected by NAA treatment.
Cell wall modification
A shared set of 11 genes associated with cell wall biosynthesis, loosening and degradation was responsive to both treatments, with most exhibiting changes at 3 and 5 d after treatment. Specifically, cellulose synthase genes were repressed while other genes related to cell wall loosening and hydrolysis, including β-1,3-glucanase, polygalacturonase and expansin, were all induced.
Proteolysis and programmed cell death
A number of genes putatively involved in the ubiquitylation pathway were upregulated. Several upregulated genes within the NAA dataset encode F-box proteins and other members of ubiquitin E3 ligase complex, including cullin and ubiquitin-conjugating enzymes. In comparison, shading caused a more widespread induction of genes responsible for protein ubiquitylation and degradation. Shading also had greater impact on the expression of 26S proteasome subunit genes. Another group of genes co-induced by both treatments included those possibly involved in programmed cell death, such as clp and cysteine proteases and autophagy genes. Similar to the pattern observed for cell wall degrading genes, the induction of almost all genes identified in cell death category was detected at 3 and 5 d.
Transcription factors (TFs)
Several classes of TFs exhibited significant changes in expression. Ten TFs were co-regulated by shading and NAA, including ERF/AP2 transcription factors, bZIP proteins, MADS-box and MYB domain proteins. The differentially expressed ERF/AP2 TFs were co-expressed with the genes for biosynthesis and signaling of ethylene and ABA, consistent with their roles in these two hormone signaling pathways [30, 31]. Interestingly, a homolog of the JOINTLESS gene (JNT), which encodes a MADS-box TF and regulator of abscission zone formation , was upregulated by both treatments. While there were both up- and down- regulated NAC domain genes in the shading dataset, NAC genes were not differentially expressed in response to NAA. Distinct sets of WRKY TFs were induced by NAA and repressed by shading (Additional file 5, Table S3).
Validation of array data in the FAZ and analysis of selected genes in other tissues via RT-qPCR
In both FAZ and FC, the expression of MdNCED was induced by both shading and NAA from 3 d. In addition, genes encoding a SDR family protein and a transcription factor (AHAP), for the regulation of ABA signaling were induced in the FAZ from 1 to 5 d. In the FC, the expression of those genes was consistently increased by both treatments, especially on 3 and 5 d after treatment (Figure 4). An upregulation of genes encoding ethylene biosynthesis and signaling (MdACS, MdACO, MdETR and MdERS) was confirmed by RT-qPCR for NAA- and shading-treated FAZ and mirrored in the FC. Overall, the induction of these ethylene-related genes in the FC was greater in response to NAA than shading, corresponding with the higher levels of ethylene released by fruitlets treated with NAA versus shading (Figure 5 compared to Figure 2). Consistent with the microarray data, both sorbitol and sucrose transporter genes (MdSOT and MdSUT) were repressed in the FAZ by NAA and shading from 1 to 5 d. In contrast, the expression of these transporters in the FC was increased from 3 through 7 d after both treatments. As for auxin polar transport, a PIN-like auxin transporter gene (PIN) and an auxin efflux carrier gene (AEC) both showed consistently decreased expression from 3 d in NAA-treated FAZ and FC (Figure 6). Concerning AZ formation and cell wall degradation, the MdJNT gene expression in the FAZ was increased by both NAA and shading from 3 d after treatment and remained higher than the control. We also observed an increase of expansin (EXP) gene expression in both NAA- and shading-treated FAZ as early as 1 d after treatment, concurrent with the burst of fruit ethylene production (Figure 7 compared to Figure 2). MdPG2 expression in the FAZ was induced by NAA and shading from 5 d onward, corresponding with the increased rate of fruit abscission (Figure 7 compared to Figure 1).
Since a widespread repression of chloroplast-related genes in the FAZ was evident from the array data, we further tested leaves to see if photosynthetic organs were similarly affected, RT-qPCR results showed a sustained repression of the selected genes involved with light-harvesting (CAB), oxygen evolving enhancement (PSB) and Rubisco activation (RuBACT) in NAA-treated leaves as early as 1 d after treatment (Figure 8). The expression of genes encoding transporters for both sorbitol and sucrose (MdSOT and MdSUT) was also found to be repressed in leaves. The expression of three other genes related to sugar metabolism was tested in the FC, which is a site of active carbohydrate metabolism. As shown in Figure 9, HXK expression was significantly induced by shading, with maximum levels detected at 7 d. HXK expression was most increased by NAA on 5 d, and remained higher than the control level thereafter. The expression of SDH gradually increased in the control fruit, but was significantly repressed by NAA and shading. Although our array data showed a consistent downregulation of TPS in the FAZ from shading-treated trees, and no effect on TPS expression due to NAA, both NAA and shading were shown to cause an early induction of TPS in the FC (Figure 9), implicating TPS in fruit-specific aspects of abscission independent of the method of induction.
Effects of NAA on leaf photosynthesis
In apple, shading and NAA application are two treatments often applied by researchers to promote fruitlet abscission, while NAA has been widely used by growers to reduce excessive bearing of apple trees. While the transcriptomes associated with abscission in Arabidopsis [33–35] and fruit development in apple have been reported [36, 37], detailed information on the molecular mechanisms involved in fruit abscission following induction by multiple means remains limited. Using suppression-subtractive hybridization (SSH), various transcripts from shaded small apple fruit have been identified as differentially expressed and over 20% of these are related to carbohydrate metabolism . A recent transcriptome study focusing on the role of benzyladenine (BA) in apple fruit abscission, led to the hypothesis that BA treatment imposes a nutrient stress perceived primarily by the fruitlet cortex and then by the seed, likely through ROS-sugar-ABA signaling, finally leading to abscission zone activation . These findings were specific for the fruit cortex and seed, so did not include information on changes occurring in the FAZ or leaves. It has also been proposed that an increase in ethylene production preceding abscission might hamper the polar auxin transport from the seeds down through the FAZ and cause the fruitlet abscission . The potential importance of auxin-ethylene crosstalk was also partly supported by a tomato flower AZ transcriptome analysis , where auxin depletion caused altered expression of auxin-regulated genes in association with the acquisition of ethylene sensitivity in the AZ. While these findings implicate auxin-ethylene crosstalk in abscission, they did not focus on plant stress response linked with metabolic reprogramming as a factor that influences hormone signalling for abscission. In addition, these studies have not examined whether distinct treatments for inducing abscission, such as shading and NAA, converge on common genetic pathways leading to abscission.
In this study, by comparing the gene expression profiles of young fruit abscission caused by NAA and shading, we found that the number of genes affected by these two treatments was positively correlated with the severity of the thinning responses. Our microarray experiments involved sampling during induction of abscission and the beginning of a detectable increase in the rate of abscission rather than during the abscission process itself. Hence, additional work is required to determine changes in gene expression occurring during later stages of abscission. Although any large changes in expression limited to narrow windows of either temporal or spatial regulation in the abscission zone were likely attenuated due to sampling that included mixed fruitlets of different abscission potentials, the changes in gene expression we observed confirm earlier reports of the involvement of two important hormone signaling pathways, ethylene and ABA [12, 13]. Moreover, our array data showed that NAA may exert its thinning effect through interfering with leaf photosynthesis, as well as sugar sensing and carbohydrate partitioning within the tree, which is similar to pathways involved in the shading-induced young fruit abscission in apple.
Hormone regulation in fruit abscission
Our microarray results are consistent with previous observations that ethylene is a key signal for the coordination of young fruit abscission induced by the chemical thinner NAA in apple [12, 13, 41]. In this study, ethylene production increased and peaked in fruitlets and leaves treated by NAA and shading, coincident with upregulation of genes encoding ethylene biosynthesis and signaling components but prior to the onset of fruitlet drop (Figures 1, 2 and 5). These results were consistent with a previous report that apple fruitlet abscission is preceded by an increase in ethylene biosynthesis and sensitivity , although ethylene independent pathways may also promote fruit abscission .
It has also been hypothesized that preventing abscission requires a constant auxin transport through the abscission zone from the fruit and that the sink strength of organs is related to their capacity to produce and export auxin [42, 43]. Auxin export is mediated by PIN-formed proteins and ATP-activated phosphoglycoproteins (PGPs) [44, 45]. We found that two auxin transport-related genes (PIN and AEC) were repressed by NAA in the FAZ and FC, i.e., starting from 3 d, and their expression levels remained lower than the control, indicating that auxin efflux from the fruitlets was blocked (Figure 6). Auxin transporter downregulation was associated with increases in ethylene production and the expression of ethylene biosynthesis and signaling-related genes (Figures 5 and 6). Using the tomato flower AZ model, Meir and colleagues  noted that the acquisition of ethylene sensitivity was associated with altered expression of auxin-regulated genes and that ethylene acted as a trigger in the abscission process, although these authors did not measure the expression of PIN genes. Taken together, the patterns of ethylene- and auxin-related gene expression in the FAZ and FC suggest that ethylene may serve as a feedback inhibitor controlling auxin transport from fruitlets, and increasing the ethylene sensitivity of the FAZ.
Abscisic acid has been implicated in the regulation of stress-induced senescence , and it has been proposed that ABA might sense nutrient stress and be correlated with the ethylene-associated abscission activation in citrus fruitlets . We observed a widespread induction of genes involved with ABA biosynthesis and signalling in response to shading and an increase in the expression of genes for ABA biosynthesis with NAA treatment (Additional file 5, Table S3, Figure 4). These differences in ABA-related responses suggest that the ABA signaling pathway is responsive to both treatments, but is more active in shading-induced fruit abscission. As mentioned above, more genes associated with sugar metabolism and sugar signaling were altered by shading than NAA, implicating a close crosstalk between sugar and ABA for the induction of senescence as previously reported .
Repression of photosynthesis-related genes
Decreased light intensity can inhibit photosynthesis and result in the abscission of leaves and fruitlets , which was confirmed by our shading experiment. We also found that NAA caused observable leaf necrosis and diminution of overall PSII efficiency (Figure 10), which agreed with a previous report , where NAA consistently reduced whole-tree canopy photosynthesis. Repression of a group of chloroplast-related genes was also observed for NAA-treated leaves (Figure 8), and these gene expression patterns also agreed with the array data for FAZs from NAA-treated trees, indicating that NAA affected photosynthesis in both leaf and stem tissues. The negative effect of NAA on leaf photosynthesis and PSII activity implicates NAA in causing a carbohydrate stress that ultimately affected sink tissues, including the fruitlets.
Impacts on sugar metabolism, sensing and transport
It has been reported that dark-induced fruit abscission can be reversed with trunk injection of sorbitol, the primary translocated form of carbohydrate in apple , which supports the currently accepted hypothesis that a limitation of assimilate supply at least partly reduces fruit growth and induces fruit drop. Plant hexokinase has been implicated in sugar signaling and the regulation of senescence [50, 51]. As a kinase and glucose sensor, the HXK gene has been demonstrated to have dual functions in both glucose metabolism and signaling [50, 51]. In this study, we found that a homolog of the HXK gene in the FC was induced by both shading and NAA treatments (Figure 9), suggesting a HXK-dependent sugar-signaling pathway is active during the abscission induction. It has been reported that transgenic tomato plants that overexpress Arabidopsis HEXOKINASE1 showed inhibited growth and rapid senescence , while Arabidopsis glucose insensitive2 (gin2) mutant plants displayed a delayed senescence phenotype . Thus the elevated expression level of HXK observed in this study might partly account for the inhibited fruit growth and accelerated fruit abscission.
Sorbitol comprises over 80% of the carbohydrate translocated in the phloem of apple, and thus is the main carbon resource imported by fruit sinks . Sorbitol dehydrogenase has been identified as a key enzyme in sorbitol metabolism, converting sorbitol into fructose [53, 54]. In this study, the expression of SDH gradually increased in the control fruit, indicating its role in regulating early fruit development. However, NAA and shading both repressed the expression of SDH in the FC (Figure 9), suggesting that sorbitol catabolism was largely inhibited and fruit sink strength was impaired , resulting in abscission. Another important sorbitol-metabolizing enzyme is sorbitol-6-phosphate dehydrogenase (S6PDH) that synthesizes sorbitol in leaves for the translocation to sink tissues . Previous studies have reported a relation between an increase in soluble carbohydrates and stress tolerance in some Rosaceae fruit trees [57, 58], and S6PDH has been revealed as an ABA-inducible gene . We observed a strong induction of S6PDH expression in NAA-treated leaves (Figure 8), and the induction of genes related to ABA biosynthesis and signaling in both FAZ and FC preceded the increased S6PDH expression in leaf (Figure 4), consistent with S6PDH being an ABA-mediated stress response gene.
NAA and shading both significantly inhibited certain sugar transporter genes in the FAZ and leaves, indicating that the carbon allocation to the fruitlets was hampered. However, the expression of these transporters in the FC was increased after both treatments (Figure 6). Also, the array data revealed that many transporter genes were induced by NAA, including a number of ABC transporters and several cation transporters, which was consistent with previous findings . Also induced in this study were several nitrate and sulfate transporter genes. The upregulation of these transporters, especially those involved in sugar transport, might reflect the shifting function of abscising fruitlets, as they become a source tissue for the mobilization of nutrients to non-abscising fruitlets.
Induction of genes associated with FAZ formation and cell wall degradation
The cells comprising the AZ are often morphologically distinguishable before the onset of abscission  and abscission could not be induced until those cells are formed . The tomato JOINTLESS gene is a MADS-box gene that plays a key role in controlling abscission zone development . In this study, the MdJNT expression in the FAZ was gradually increased by both NAA and shading, suggesting that this transcription factor involvement in abscission zone formation in apple and tomato is conserved.
Enlargement of abscission zone cells involves cell wall loosening. Wall loosening can be aided by expansins and several reports have shown that expansins are expressed abundantly in abscission zones [22, 62]. We also observed an increase in expansin (EXP) expression in both NAA- and shading-treated FAZ as early as 1 d after treatment, concurring with the burst of fruit ethylene production. It has been reported that certain types of AZ cells enlarge in response to ethylene . Together these results support a role of expansins in cell enlargement associated with ethylene-mediated abscission.
Some reports have indicated that an increase in polygalacturonase (PG) activity correlates with fruit abscission [18, 63]. However, MdPG1 expression was not detected in the FAZ or the FC from 'Golden Delicious' or 'Delicious' apples , which contrasts with other work showing that MdPG1 was involved in apple fruit softening and that its expression was suppressed by 1-MCP and AVG treatment [16, 64]. In this study, MdPG1 was not identified from the array but the expression of MdPG2 in the FAZ was induced by NAA and shading by 5 d, occurring with the increase in the rate of fruitlet abscission. This result was in agreement with our previous work with NAA in 'Delicious' apple . Another report showing an MdPG2 downregulation concomitant with an NAA-dependent reduction in preharvest fruit drop  supports our current view that MdPG2 rather than MdPG1 appears to be strongly associated with fruitlet abscission.
Plant materials and sample collection
Thirty-six uniform 12-year-old 'Golden Delicious' apple trees on M.9 rootstock were selected and divided into three blocks of 12 trees each. Four trees from each block were treated with: 1) Control (water); 2) NAA (Fruitone N; AMVAC, Newport Beach, CA) at 15 mg L-1; 3) Shading (92% polypropylene shade over the entire tree for five consecutive days and then removed), respectively. Treatments were applied when the fruit size was ~10 mm in diameter. Three biological replicates were conducted independently. Young fruit was collected at 0, 1, 3, 5, 7, 9 d after treatment. At each collection time, about 80 fruit were collected from each tree, with fruit cortex (FC) and fruit abscission zone (FAZ) separated. FAZs were collected by cutting 1 mm at each side of the abscission fracture plane at the base of the pedicel . All samples were promptly frozen in liquid nitrogen and stored at -80°C for future RNA extraction.
Fruit abscission pattern and leaf/fruit ethylene production
To determine the fruit abscission rate, two limbs on each tree were tagged and fruit on tagged limbs were counted on 0, 1, 2, 3, 7, 9, 11, 14, 16, 18, 21, 25 and 26 d after treatment. For ethylene production measurements, 15 fruit and 20 leaves were collected from each of three replicate trees 0 and 6 h and 1, 3, 5, 7, 9, 11 and 14 d after treatment and enclosed in a 100-mL (for fruit) or 1000-mL (for leaves) container. After a 2-h incubation period, a 1-mL gas sample was withdrawn from the sealed container through the rubber septum affixed to the lid, and the ethylene concentration was measured with a gas chromatograph equipped with an activated alumina column and FID detector (model 3700; Varian, Palo Alto, CA) and expressed as μL C2H4 kg-1 h-1.
Experimental design and microarray hybridization
An apple 70-mer oligonucleotide microarray consisting of ~33,825 unique sequences and ~ 6,000 controls was used . RNA from three time points (D1, 3 and 5) were represented by three biological replicates analyzed in a dye swap design (six hybridizations per time point) for a total of 18 slides for the NAA treatment and for the shading treatment. A control RNA (the untreated samples of the same time point) was hybridized along with the treatment RNA but with the opposite dye. A total of 50 pmol of incorporated dye with at least a FOI of 2.0 (calculated using Base/Dye Ratio Calculator from Invitrogen) was used for each sample cDNA and the reference cDNA in the hybridization.
RNA extraction, aRNA amplification and labeling
Total RNA was extracted from the FAZ for each biological replicate as previously described , and DNased using TURBO DNA-free™ Kit (Ambion, Austin, TX). RT-PCR was performed using primers that span an intron in MdACO to confirm that each RNA sample was free of genomic DNA contamination. The RNA was quantified using the NanoDrop ND-1000 (Thermo Scientific, MA) and the quality checked using the Bioanalyzer 2100 (Agilent, CA) according to manufacturer's instructions. According to the Instruction Manual of Amino Allyl MessageAmp™ II aRNA Amplification Kit, cDNA was synthesized from mRNA in 1 μg of total RNA. Purified cDNA was transcribed to aRNA using IVT Master Mix which contains 5-(3-aminoallyl)-UTP (50 mM), ATP/CTP/GTP Mix (25 mM), UTP (50 mM), T7 10 × Reaction Buffer and T7 Enzyme Mix. Purified aRNA was labeled with either AlexaFluor555 or AlexaFluor647 (Invitrogen, CA) for hybridization following the manufacturer's instructions. Labeled samples (10 μL) were mixed with 1 × Slide Hyb Glass Hybridization Buffer (Ambion) and injected into the slide chambers which were heated to 65°C. The chambers were incubated at 42°C overnight. The next day, the slides were washed with 1 × SSC, 0.2% SDS for 5 min, 0.1 × SSC, 0.2% SDS for 5 min and twice with 0.1 × SSC.
Data scanning and analysis
Microarray slides were dried and dual channel images were captured using GenePix 4000B microarray scanner (Axon Instruments, CA). Automated spot alignment was augmented with manual checking of each slide to remove substandard spots. GenePix Pro software (Axon Instruments, CA) was used for data normalization and statistical analysis. LIMMA package for R programming environment was used by applying linear model methods . Each probe was tested for changes in expression over the time points using a moderated F test, which is similar to an ANOVA method for each probe except that the residual standard errors are moderated across genes . The linear models allow for general changes in gene expression between successive time points. The use of dye-swaps in the experimental design eliminated a dye-effect for each probe, which increased the precision with which differential expression could be detected. The computed P values were adjusted for multiple testing to control the false discovery rate (FDR) . Genes were considered significantly expressed if the adjusted P values were <0.01 (i.e. expected FDR less than 1%).
Gene clustering and categorization
Hierarchical clustering was performed using the statistic package for R utilizing the Euclidean distance. Figure of merit (FOM) analysis was performed to determine the number of clusters needed for the explanation of the majority of variation in expression patterns . Then a cluster number was assigned for K-means clustering (KMC) analysis to divide the data into distinct expression clusters based on similarities in their expression patterns, using the TM4 package . Default statistical parameters were used in those analyses and data were scaled for hierarchical and KMC clustering based on fold-change and log2 ratio in gene expression. The existing apple gene annotation was complemented by the application Blast2Go  and further supplemented with manual BLASTX, conserved domains and literature searches, mostly based on Arabidopsis database. Using this combined information, a functionally driven classification was created manually. Larger categories were further divided into subcategories to cover all the related genes.
Purified total RNA (1 μg) from each sample was used to synthesize cDNA in a 20-μL reaction using the High-Capacity cDNA Reverse Transcription kit (Applied Biosystems, Fosters City, CA). Each qPCR reaction was run in triplicate using 40 ng of cDNA in a 15-μl reaction, using Power SYBR Green qRT-PCR Kit (Applied Biosystems). Gene-specific primer sets were designed from available apple ESTs sequences using Primer Expression 3.0 and synthesized by Integrated DNA Technologies (Coralville, IA) . Upon the release of the apple genome , we checked if our qPCR primers were specific to a single gene or could potentially amplify multiple gene family members using BlastN searches. Those that could amplify more than one gene were discarded (Additional file 7, Table S5). The reactions were performed on a 7500 Real-time PCR Cycler (Applied Biosystems, CA). Quantification was achieved using a relative standard curve derived from a standard RNA run in parallel with each primer set. A primer set designed to amplify Malus actin RNA was run on all samples and used to normalize the data. A dissociation curve was run to verify that a single desired amplified product was obtained from each reaction (Applied Biosystems).
Measurement of leaf photosynthesis efficiency
NAA was directly applied to the leaves of both young apple seedlings in a growth chamber (21-24°C, 50% humidity, light-dark cycle of 16:8 h; the seedlings were treated 4 h after the light cycle began) and mature fruit-bearing apple trees in the field (4 h after sunrise, full sunlight). After treatment, the young seedlings and separate leaves from the mature trees were collected at intervals (10 min, 1 h and 5 h for young seedlings; 10 min, 4 h and 1 d for mature trees). Chlorophyll fluorescence images (CFI) were taken and Fv/Fm values were recorded to monitor the changes in PSII efficiency, using an IMAGING-PAM Fluorometer with Walz ImagingWin software V2.32. FV/FM values were recorded three times independently from both control and NAA-affected leaves of fruit-bearing trees in the field.
This manuscript is dedicated to Dr. Rongcai Yuan, in memory of his devotion in plant science. He will be greatly missed by those who were privileged to know him. We would like to thank Dr. Yan Zhang at Virginia Tech Bioinformatics Institute, for his assistance in the array data analysis. We also appreciate the technical assistance of David Carbaugh and Grace Engelman at AREC. This research was supported by a Virginia Agricultural Council grant to Dr. Yuan.
- Hennerty MJ, Forshey CG: Tree physiological condition as a source of variation in chemical thinning of apple fruits. HortScience. 1972, 7: 259-260.Google Scholar
- Bangerth F: Abscission and thinning of young fruit and thier regulation by plant hormones and bioregulators. Plant Growth Regul. 2000, 31 (1-2): 43-59.View ArticleGoogle Scholar
- Dennis FG: Mechanisms of action of apple thinning chemicals. HortScience. 2002, 37 (3): 471-474.Google Scholar
- Stopar M, Black BL, Bukovac MJ: The effect of NAA and BA on carbon dioxide assimilation by shoot leaves of spur-type 'Delicious' and 'Empire' apple trees. J Amer Soc Hort Sci. 1997, 122 (6): 837-840.Google Scholar
- Yuan RC, Greene DW: Benzyladenine as a chemical thinner for 'McIntosh' apples. I. Fruit thinning effect1s and associated relationships with photosynthesis, assimilate translocation, and nonstructural carbohydrates. J Amer Soc Hort Sci. 2000, 125 (2): 169-176.Google Scholar
- Schneider GW: Abscission Mechanism Studies with Apple Fruitlets. J Amer Soc Hort Sci. 1978, 103 (4): 455-458.Google Scholar
- Yuan RC, Greene DW: Benzyladenine as a chemical thinner for 'McIntosh' apples. II. Effects of benzyladenine, bourse shoot tip removal, and leaf number on fruit retention. J Amer Soc Hort Sci. 2000, 125 (2): 177-182.Google Scholar
- Byers RE: Flower and fruit thinning and vegetative: Fruiting balance. InApples: Botany, production and uses. Edited by: Ferree DC, Warrington IJ.New York, CABI Publishing; 2003:409-436.View ArticleGoogle Scholar
- Quinlan JD, Preston AP: Influence of Shoot Competition on Fruit Retention and Cropping of Apple Trees. J Hortic Sci Biotech. 1971, 46 (4): 525-534.Google Scholar
- Curry EA: Naa-Induced Ethylene and Acc in Delicious Spur Tissues - Changes with Temperature and Time. J Amer Soc Hort Sci. 1991, 116 (5): 846-850.Google Scholar
- McArtney SJ: Ethylene evolution from detached apple spurs in response to chemical thinners. HortScience. 2002, 37 (4): 662-665.Google Scholar
- Dal Cin V, Danesin M, Boschetti A, Dorigoni A, Ramina A: Ethylene biosynthesis and perception in apple fruitlet abscission (Malus domestica L. Borhk). J Exp Bot. 2005, 56 (421): 2995-3005. 10.1093/jxb/eri296.View ArticleGoogle Scholar
- Zhu H, Beers EP, Yuan RC: Aminoethoxyvinylglycine Inhibits Fruit Abscission Induced by Naphthaleneacetic Acid and Associated Relationships with Expression of Genes for Ethylene Biosynthesis, Perception, and Cell Wall Degradation in 'Delicious' Apples. J Amer Soc Hort Sci. 2008, 133 (6): 727-734.Google Scholar
- Yuan R: Effects of temperature on fruit thinning with ethephon in 'Golden Delicious' apples. Sci Hort. 2007, 113 (1): 8-12. 10.1016/j.scienta.2007.01.005.View ArticleGoogle Scholar
- Williams RR, Flook VA: The Mode of Action of the Hormone Apple Fruit-Setting Mixture Pp-341b Applied to Cox Orange Pippin. J Hort Sci. 1980, 55 (3): 275-277.Google Scholar
- Li JG, Yuan RC: NAA and ethylene regulate expression of genes related to ethylene biosynthesis, perception, and cell wall degradation during fruit abscission and ripening in 'Delicious' apples. J Plant Growth Regul. 2008, 27 (3): 283-295. 10.1007/s00344-008-9055-6.View ArticleGoogle Scholar
- Meir S, Philosoph-Hadas S, Sundaresan S, Selvaraj KSV, Burd S, Ophir R, Kochanek B, Reid MS, Jiang CZ, Lers A: Microarray Analysis of the Abscission-Related Transcriptome in the Tomato Flower Abscission Zone in Response to Auxin Depletion. Plant Physiol. 2010, 154 (4): 1929-1956. 10.1104/pp.110.160697.PubMedPubMed CentralView ArticleGoogle Scholar
- Bonghi C, Tonutti P, Ramina A: Biochemical and molecular aspects of fruitlet abscission. Plant Growth Regul. 2000, 31 (1-2): 35-42.View ArticleGoogle Scholar
- Lashbrook CC, Cai S: Cell wall remodeling in Arabidopsis stamen abscission zones. Plant Signal Behav. 2008, 3 (9): 733-736. 10.4161/psb.3.9.6489.PubMedPubMed CentralView ArticleGoogle Scholar
- Lashbrook CC, Gonzalezbosch C, Bennett AB: 2 Divergent Endo-Beta-1,4-Glucanase Genes Exhibit Overlapping Expression in Ripening Fruit and Abscising Flowers. Plant Cell. 1994, 6 (10): 1485-1493.PubMedPubMed CentralGoogle Scholar
- Ward DL, Beers EP, Byers RE, Marini RP: Cutting apple fruits induces cellulase activity in the abscission zone. HortScience. 1999, 34 (4): 601-603.Google Scholar
- Belfield EJ, Ruperti B, Roberts JA, McQueen-Mason S: Changes in expansin activity and gene expression during ethylene-promoted leaflet abscission in Sambucus nigra. J Exp Bot. 2005, 56 (413): 817-823. 10.1093/jxb/eri076.PubMedView ArticleGoogle Scholar
- Kim J, Patterson S: Expression divergence and functional redundancy of polygalacturonases in floral organ abscission. Plant Signal Behav. 2006, 1 (6): 281-283. 10.4161/psb.1.6.3541.PubMedPubMed CentralView ArticleGoogle Scholar
- Dardick C: Comparative expression profiling of Nicotiana benthamiana leaves systemically infected with three fruit tree viruses. Mol Plant Microbe Interact. 2007, 20 (8): 1004-1017. 10.1094/MPMI-20-8-1004.PubMedView ArticleGoogle Scholar
- Rolland F, Baena-Gonzalez E, Sheen J: Sugar sensing and signaling in plants: Conserved and novel mechanisms. Annu Rev Plant Biol. 2006, 57: 675-709. 10.1146/annurev.arplant.57.032905.105441.PubMedView ArticleGoogle Scholar
- Hanson J, Smeekens S: Sugar perception and signaling - an update. Curr Opin Plant Biol. 2009, 12 (5): 562-567. 10.1016/j.pbi.2009.07.014.PubMedView ArticleGoogle Scholar
- Fernandez O, Bethencourt L, Quero A, Sangwan RS, Clement C: Trehalose and plant stress responses: friend or foe?. Trends Plant Sci. 2010, 15 (7): 409-417. 10.1016/j.tplants.2010.04.004.PubMedView ArticleGoogle Scholar
- Weaver LM, Gan SS, Quirino B, Amasino RM: A comparison of the expression patterns of several senescence-associated genes in response to stress and hormone treatment. Plant Mol Biol. 1998, 37 (3): 455-469. 10.1023/A:1005934428906.PubMedView ArticleGoogle Scholar
- Yang JC, Zhang JH, Wang ZQ, Zhu QS, Liu LJ: Involvement of abscisic acid and cytokinins in the senescence and remobilization of carbon reserves in wheat subjected to water stress during grain filling. Plant Cell Environ. 2003, 26 (10): 1621-1631. 10.1046/j.1365-3040.2003.01081.x.View ArticleGoogle Scholar
- Kizis D, Lumbreras V, Pages M: Role of AP2/EREBP transcription factors in gene regulation during abiotic stress. FEBS Lett. 2001, 498 (2-3): 187-189. 10.1016/S0014-5793(01)02460-7.PubMedView ArticleGoogle Scholar
- Dietz KJ, Vogel MO, Viehhauser A: AP2/EREBP transcription factors are part of gene regulatory networks and integrate metabolic, hormonal and environmental signals in stress acclimation and retrograde signalling. Protoplasma. 2010, 245 (1-4): 3-14. 10.1007/s00709-010-0142-8.PubMedView ArticleGoogle Scholar
- Mao L, Begum D, Chuang HW, Budiman MA, Szymkowiak EJ, Irish EE, Wing RA: JOINTLESS is a MADS-box gene controlling tomato flower abscission zone development. Nature. 2000, 406 (6798): 910-913. 10.1038/35022611.PubMedView ArticleGoogle Scholar
- Buchanan-Wollaston V, Page T, Harrison E, Breeze E, Lim PO, Nam HG, Lin JF, Wu SH, Swidzinski J, Ishizaki K, et al: Comparative transcriptome analysis reveals significant differences in gene expression and signalling pathways between developmental and dark/starvation-induced senescence in Arabidopsis. Plant J. 2005, 42 (4): 567-585. 10.1111/j.1365-313X.2005.02399.x.PubMedView ArticleGoogle Scholar
- Cai SQ, Lashbrook CC: Stamen abscission zone transcriptome profiling reveals new candidates for abscission control: Enhanced retention of floral organs in Transgenic plants overexpressing Arabidopsis ZINC FINGER PROTEIN2. Plant Physiol. 2008, 146 (3): 1305-1321. 10.1104/pp.107.110908.PubMedPubMed CentralView ArticleGoogle Scholar
- Wagstaff C, Yang TJW, Stead AD, Buchanan-Wollaston V, Roberts JA: A molecular and structural characterization of senescing Arabidopsis siliques and comparison of transcriptional profiles with senescing petals and leaves. Plant J. 2009, 57 (4): 690-705. 10.1111/j.1365-313X.2008.03722.x.PubMedView ArticleGoogle Scholar
- Lee YP, Yu GH, Seo YS, Han SE, Choi YO, Kim D, Mok IG, Kim WT, Sung SK: Microarray analysis of apple gene expression engaged in early fruit development. Plant Cell Rep. 2007, 26 (7): 917-926. 10.1007/s00299-007-0308-9.PubMedView ArticleGoogle Scholar
- Janssen BJ, Thodey K, Schaffer RJ, Alba R, Balakrishnan L, Bishop R, Bowen JH, Crowhurst RN, Gleave AP, Ledger S, et al: Global gene expression analysis of apple fruit development from the floral bud to ripe fruit. BMC Plant Biol. 2008, 8: 16-10.1186/1471-2229-8-16.PubMedPubMed CentralView ArticleGoogle Scholar
- Zhou C, Lasko AN, Robinson TL, Gan S: Isolation and characterization of genes associated with shade-induced apple abscission. Mol Genet Genomics. 2008, 280 (1): 83-92. 10.1007/s00438-008-0348-z.PubMedView ArticleGoogle Scholar
- Botton A, Eccher G, Forcato C, Ferrarini A, Begheldo M, Zermiani M, Moscatello S, Battistelli A, Velasco R, Ruperti B, et al: Signaling pathways mediating the induction of apple fruitlet abscission. Plant Physiol. 2011, 155 (1): 185-208. 10.1104/pp.110.165779.PubMedPubMed CentralView ArticleGoogle Scholar
- Dal Cin V, Velasco R, Ramina A: Dominance induction of fruitlet shedding in Malus × domestica (L. Borkh): molecular changes associated with polar auxin transport. BMC Plant Biol. 2009, 9: 139-10.1186/1471-2229-9-139.PubMedPubMed CentralView ArticleGoogle Scholar
- Zhu H, Yuan R, Greene DW, Beers EP: Effects of 1-methylcyclopropene and napththaleneacetic acid on fruit set and expression of genes related to ethylene biosynthesis and perception and cell wall degradation in apple. J Amer Soc Hort Sci. 2010, 135 (5): 402-409.Google Scholar
- Cline MG: Apical dominance. Bot Rev. 1991, 57: 318-358. 10.1007/BF02858771.View ArticleGoogle Scholar
- Taylor JE, Whitelaw CA: Signal in abscission. New Phytologist. 2001, 151: 323-339. 10.1046/j.0028-646x.2001.00194.x.View ArticleGoogle Scholar
- Petrasek J, Mravec J, Bouchard R, Blakeslee JJ, Abas M, Seifertova D, Wisniewska J, Tadele Z, Kubes M, Covanova M, et al: PIN proteins perform a rate-limiting function in cellular auxin efflux. Science. 2006, 312 (5775): 914-918. 10.1126/science.1123542.PubMedView ArticleGoogle Scholar
- Blakeslee JJ, Bandyopadhyay A, Lee OR, Mravec J, Titapiwatanakun B, Sauer M, Makam SN, Cheng Y, Bouchard R, Adamec J, et al: Interactions among PIN-FORMED and P-glycoprotein auxin transporters in Arabidopsis. Plant Cell. 2007, 19 (1): 131-147. 10.1105/tpc.106.040782.PubMedPubMed CentralView ArticleGoogle Scholar
- Gomez-Cadenas A, Mehouachi J, Tadeo FR, Primo-Millo E, Talon M: Hormonal regulation of fruitlet abscission induced by carbohydrate shortage in citrus. Planta. 2000, 210 (4): 636-643. 10.1007/s004250050054.PubMedView ArticleGoogle Scholar
- Wingler A, Roitsch T: Metabolic regulation of leaf senescence: interactions of sugar signalling with biotic and abiotic stress responses. Plant Biol (Stuttg). 2008, 10 (Suppl 1): 50-62.View ArticleGoogle Scholar
- Untiedt R, Blanke M: Effects of fruit thinning agents on apple tree canopy photosynthesis and dark respiration. Plant Growth Regul. 2001, 35 (1): 1-9. 10.1023/A:1013894901621.View ArticleGoogle Scholar
- Loescher W, Marlow GC, Kennedy RA: Sorbitol metabolism and source-sink interactions in developing apple leaves. Plant Physiol. 1982, 70 (2): 335-339. 10.1104/pp.70.2.335.PubMedPubMed CentralView ArticleGoogle Scholar
- Jang JC, Leon P, Zhou L, Sheen J: Hexokinase as a sugar sensor in higher plants. Plant Cell. 1997, 9 (1): 5-19.PubMedPubMed CentralView ArticleGoogle Scholar
- Moore B, Zhou L, Rolland F, Hall Q, Cheng WH, Liu YX, Hwang I, Jones T, Sheen J: Role of the Arabidopsis glucose sensor HXK1 in nutrient, light, and hormonal signaling. Science. 2003, 300 (5617): 332-336. 10.1126/science.1080585.PubMedView ArticleGoogle Scholar
- Dai N, Schaffer A, Petreikov M, Shahak Y, Giller Y, Ratner K, Levine A, Granot D: Overexpression of Arabidopsis hexokinase in tomato plants inhibits growth, reduces photosynthesis, and induces rapid senescence. Plant Cell. 1999, 11 (7): 1253-1266.PubMedPubMed CentralView ArticleGoogle Scholar
- Yamaguchi H, Kanayama Y, Soejima J, Yamaki S: Changes in the amounts of the NAD-dependent sorbitol dehydrogenase and its involvement in the development of apple fruit. J Amer Soc Hort Sci. 1996, 121 (5): 848-852.Google Scholar
- Beruter J, Feusi MES, Ruedi P: Sorbitol and sucrose partitioning in the growing apple fruit. J Plant Physiol. 1997, 151 (3): 269-276.View ArticleGoogle Scholar
- Ho LC: Metabolism and Compartmentation of Imported Sugars in Sink Organs in Relation to Sink Strength. Annu Rev Plant Physiol Plant Mol Biol. 1988, 39: 355-378. 10.1146/annurev.pp.39.060188.002035.View ArticleGoogle Scholar
- Sakanishi K, Kanayama Y, Mori H, Yamada K, Yamaki S: Expression of the gene for NADP-dependent sorbitol-6-phosphate dehydrogenase in peach leaves of various developmental stages. Plant Cell Physiol. 1998, 39 (12): 1372-1374.View ArticleGoogle Scholar
- Brown CS, Young E, Pharr DM: Rootstock and Scion Effects on the Seasonal Distribution of Dry-Weight and Carbohydrates in Young Apple-Trees. J Amer Soc Hort Sci. 1985, 110 (5): 696-701.Google Scholar
- Lo Bianco R, Rieger M, Sung SJS: Effect of drought on sorbitol and sucrose metabolism in sinks and sources of peach. Physiol Plant. 2000, 108 (1): 71-78. 10.1034/j.1399-3054.2000.108001071.x.View ArticleGoogle Scholar
- Kanayama Y, Moriguchi R, Deguchi M, Kanahama K, Yamaki S: Effect of environmental stresses and abscisic acid on sorbitol-6-phosphate dehydrogenase expression in Rosaceae fruit trees. ISHS Acta Hort. 2007, 738: 375-381.View ArticleGoogle Scholar
- Sexton R, Roberts JA: Cell Biology of Abscission. Annu Rev Plant Physiol Plant Mol Biol. 1982, 33: 133-162.View ArticleGoogle Scholar
- Osborne DJ: Auxin and ethylene and the control of cell growth. Identification of three classes of target cells. Plant growth regulation. Edited by: Pilet P. 1976, Berlin, Springer-Verlag, 161-171.Google Scholar
- Chen F, Bradford KJ: Expression of an expansin is associated with endosperm weakening during tomato seed germination. Plant Physiol. 2000, 124 (3): 1265-1274. 10.1104/pp.124.3.1265.PubMedPubMed CentralView ArticleGoogle Scholar
- Tonutti P, Cass LG, Christoffersen RE: The Expression of Cellulase Gene Family Members during Induced Avocado Fruit Abscission and Ripening. Plant Cell Environ. 1995, 18 (6): 709-713. 10.1111/j.1365-3040.1995.tb00573.x.View ArticleGoogle Scholar
- Wakasa Y, Kudo H, Ishikawa R, Akada S, Senda M, Niizeki M, Harada T: Low expression of an endopolygalacturonase gene in apple fruit with long-term storage potential. Postharvest Biol Technol. 2006, 39 (2): 193-198. 10.1016/j.postharvbio.2005.10.005.View ArticleGoogle Scholar
- Velasco R, Zharkikh A, Affourtit J, Dhingra A, Cestaro A, Kalyanaraman A, Fontana P, Bhatnagar SK, Troggio M, Pruss D, et al: The genome of the domesticated apple (Malus × domestica Borkh.). Nat Genet. 2010, 42 (10): 833-839. 10.1038/ng.654.PubMedView ArticleGoogle Scholar
- Soria-Guerra R, Rosales-Mendoza S, Gasic K, Band M, Wisniewski ME, Korban SS: Gene expression is highly regulated in early developing fruit of apple. Plant Mol Biol Rep. 2011.Google Scholar
- Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge YC, Gentry J, et al: Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004, 5 (10): R80-10.1186/gb-2004-5-10-r80.PubMedPubMed CentralView ArticleGoogle Scholar
- Smyth GK: Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004, 3: Article 3.Google Scholar
- Benjamini Y, Hochberg Y: Controlling the False Discovery Rate - a Practical and Powerful Approach to Multiple Testing. J Roy Stat Soc B Met. 1995, 57 (1): 289-300.Google Scholar
- Saeed AI, Sharov V, White J, Li J, Liang W, Bhagabati N, Braisted J, Klapa M, Currier T, Thiagarajan M, et al: TM4: A free, open-source system for microarray data management and analysis. Biotechniques. 2003, 34 (2): 374-378.PubMedGoogle Scholar
- Conesa A, Gotz S, Garcia-Gomez JM, Terol J, Talon M, Robles M: Blast2GO: A universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 2005, 21 (18): 3674-3676. 10.1093/bioinformatics/bti610.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.