Natural variation in floral nectar proteins of two Nicotiana attenuata accessions
- Pil Joon Seo†3,
- Natalie Wielsch†2,
- Danny Kessler1,
- Ales Svatos2,
- Chung-Mo Park4,
- Ian T Baldwin1 and
- Sang-Gyu Kim1Email author
© Seo et al.; licensee BioMed Central Ltd. 2013
Received: 19 February 2013
Accepted: 10 July 2013
Published: 13 July 2013
Floral nectar (FN) contains not only energy-rich compounds to attract pollinators, but also defense chemicals and several proteins. However, proteomic analysis of FN has been hampered by the lack of publically available sequence information from nectar-producing plants. Here we used next-generation sequencing and advanced proteomics to profile FN proteins in the opportunistic outcrossing wild tobacco, Nicotiana attenuata.
We constructed a transcriptome database of N. attenuata and characterized its nectar proteome using LC-MS/MS. The FN proteins of N. attenuata included nectarins, sugar-cleaving enzymes (glucosidase, galactosidase, and xylosidase), RNases, pathogen-related proteins, and lipid transfer proteins. Natural variation in FN proteins of eleven N. attenuata accessions revealed a negative relationship between the accumulation of two abundant proteins, nectarin1b and nectarin5. In addition, microarray analysis of nectary tissues revealed that protein accumulation in FN is not simply correlated with the accumulation of transcripts encoding FN proteins and identified a group of genes that were specifically expressed in the nectary.
Natural variation of identified FN proteins in the ecological model plant N. attenuata suggests that nectar chemistry may have a complex function in plant-pollinator-microbe interactions.
KeywordsLC-MS/MS Nectar protein Nectarin Nicotiana attenuata
Floral nectar (FN) is produced in many flowers to promote outcrossing mediated by pollinator visitation . FN consists largely of sugars including sucrose, glucose, and fructose, regarded as rewards for animal pollinators. FN also contains several proteins, which are called nectarins [2–6]. Although the presence of nectar proteins was first described nearly 80 years ago , only a limited number of proteins have been identified and characterized. Of these, many are likely not directly involved in attracting or repelling pollinators [8, 9], but rather function in sugar metabolism as well as in defense against microorganism proliferation, largely through the production of strong oxidants, such as hydrogen peroxide (H2O2) . However, the over-accumulation of H2O2 produced by FN proteins has been shown to affect pollination behavior and reduces nectar removal by insect floral visitors .
The best characterized proteins in FN are nectarins (NECs). Five NECs have been identified from an ornamental tobacco, Nicotiana langsdorffii x Nicotiana sanderae[7, 9]. The NEC1 (nectarin1) protein was first classified as a germin-like protein , and it was further characterized as manganese-containing superoxide dismutase involved in producing H2O2. NEC5, a flavin-containing berberine bridge enzyme-like protein, possesses glucose oxidase activity catalyzing the oxidation of D-glucose to D-gluconic acid and H2O2. High levels of H2O2 generated by NEC1 and NEC5 are closely associated with antimicrobial activity in the nectar . Consistent with their functional similarity, expression patterns of the NEC1 and NEC5 genes are also similar in the ornamental tobacco; both are highly expressed in nectary tissues just prior to anthesis [5, 7, 12]. The NEC3 protein, which has high sequence similarity to the antioxidant storage protein, dioscorin, possesses both monodehydroascorbate reductase and carbonic anhydrase activities , and contributes to the maintenance of pH and oxidative balance in the nectar.
Other types of FN proteins have also been identified from diverse plant species. The flowers of leek (Allium porrum) predominantly produces alliin lyase, which catalyzes the conversion of alliins to allicins, and a mannose-binding lectin . A GDSL lipase was found in the FN of Jacaranda minosifolia. This enzyme possesses lipolytic esterase activities and probably plays a role in the release of free fatty acids that may be involved in pollinator attraction. The GDSL lipase may also act against microbes by disrupting spore membrane integrity . In addition, the antimicrobial proteins RNase, peroxidase, and endochitinase have been identified from the FN of Petunia hybrida. Thus, several FN proteins likely function in a complicated multipronged defense against microbes in this otherwise palatable solution offered to reward pollinators.
Mass spectrometry has become a powerful analytical technique for protein identification in multicomponent samples spanning wide dynamic range of protein concentrations . To decrease the complexity of the samples, proteins are separated by one- or two-dimensional (D) gel electrophoresis, visualized and digested with one of the proteolytic enzymes (typically trypsin) to produce peptides. The extracted peptides are separated by nano HPLC prior their injection into a tandem mass spectrometer where they undergo serial fragmentation by collision-induced dissociation (CID) to generate product ion spectra for as many peptides as possible.
The peptides are usually identified using database searching that relies on the correlation of the acquired peptide masses along with the corresponding masses generated in-silico from available genomic, EST, or protein sequence databases using dedicated software [18–20]. Although protein identification based on stringent database searching is highly specific and accurate, its application is limited to organisms with available sequence information or to homologous proteins from closely related species. Identification of protein families with poorly conserved domains, strong sequence polymorphisms, or from species phylogenetically distant from model organisms remains a major challenge for proteomic research. To increase the scope of studied organisms, an alternative strategy has been developed, that relies on de novo sequencing of the acquired MS/MS spectra followed by their searching using specialized sequence-similarity search engines in an error tolerant manner to identify peptides on the basis of their homology to peptides in the database [21–23].
Although some studies of nectar proteomes from non-model plants using similarity-based searching have been reported, there is no doubt that a genomic database of nectar-producing plants would greatly improve nectar protein identification . In addition, the sequences of genes encoding nectar proteins enable an examination of the transcriptional regulation of these proteins. In this work, we conducted proteomic analysis using FN collected from Nicotiana attenuata accessions across the plant’s native habitat, the Great Basin Desert, Utah. N. attenuata flowers produce a relatively large volume of nectar to attract two main pollinators: Manduca sexta moths at night and hummingbirds in the morning [25–27]. We found natural variation in FN proteins among different N. attenuata accessions collected across the plant’s native habitat and identified FN proteins through stringent and homology-based database searching against public (NCBInr) and an in-house N. attenuata protein subdatabase.
Variation of FN proteins among eleven N. attenuataaccessions
We first characterized nectar volume and protein content in flowers of the N. attenuata Utah accession (UT), which was used to generate the 454-transcriptome database. Secretion of FN was developmentally regulated: nectar volume increased gradually during flower opening (Additional file 1A). The amount of proteins also increased with floral development (Additional file 1B). We therefore analyzed FN produced at late stages of nectary development (2nd-day open flowers) in the subsequent assays. Nectar volume of single flowers was 6.3 ± 1.6 μL/flower (mean ± SE, n = 12). The total amount of proteins per flower determined by Bradford assays was 388.72 ± 3.34 μg mL-1 (mean ± SE, n = 6).
To investigate the variation in nectar proteins among N. attenuata accessions, we collected the FN from 11 different accessions grown in a glasshouse and measured the FN volume and protein concentrations. The nectar volume was highly variable among accessions, ranging from 4 to 16 μL/flower (Additional file 2A). Among them, the Highway accession (HW) accumulated by far the largest volume of nectar (15.5 ± 2.8 μL/flower, n = 28) compared with other accessions. The protein content also varied between 60 and 480 μg mL-1 among the accessions (Additional file 2B). Interestingly, the protein content in FN of HW was significantly lower than other accessions. Generally, there was a weak negative correlation (Pearson correlation test: r = −0.62, P = 0.042) between nectar volume and protein content among accessions (Additional file 2C), suggesting that the total amount of proteins per flower are similar in N. attenuata accessions.
Identification of FN proteins in Utah and highway accessions
To identify FN proteins in these two selected accessions of N. attenuata, we first separated FN proteins by 1D gel electrophoresis. Each gel from the UT and HW accession was divided into 15 fractions and analyzed by LC-MS/MS (Additional file 3A). Data analysis using stringent and similarity-based searching revealed that homologs of NEC1 and NEC3 proteins were enriched in FN of UT and HW, while the NEC5 homolog was only enriched in FN of HW (Additional files 4 and 5).
FN proteins of HW were mostly similar to those of UT, but several additional spots indicated by blue arrows were observed only in the HW accession (Figure 3 and Additional file 7). NaNEC5 proteins were detected only in HW FN as shown in the 1D gel analysis. The protein spot marked as ‵2′ was found only in HW FN and identified as a chitinase. Another HW-specific protein spots below 20 kDa (unknown2 in Figure 3) could not be identified using the public NCBInr database. Searching against the N. attenuata subdatabase resulted in a lipid transfer protein2 (Na_454_10170) (Additional file 7).
A number of other, heterogeneous proteins were also found in the FN of both accessions (Figures 2 and 3). These included pathogenesis-related (PR) proteins (thaumatins, calrecticulins, and chitinases), and defense-related proteins (annexins and RNases). Proteins involved in sugar metabolism, such as xylosidase, glucosidases, and galactosidases, were also identified. In addition, we found a number of additional enzymes, including phosphatase, enolase, ATP synthase, peptidase, phospholipase, and proteosome. The protein spots marked as ‵42′ in UT and marked as ‵17′, ‵18′ in HW corresponded to the Na_454_09241 transcript encoding a DNA primase where searching against an in-house database (Additional files 6 and 7). These results demonstrate the diversity of the FN proteome.
However, an alternative hypothesis to explain the diversity of the FN proteome could be that FN was contaminated with proteins from other floral tissues during nectar collection. To test this possibility, we first examined the reproducibility of our method. In 1D gel electrophoresis analysis, we were able to identify low abundant proteins, such as calrecticulins, chitinases, galactosidase, glucosidase, RNase, annexin, and enolase (Additional files 4 and 5). In addition, 2D gel electrophoresis of UT FN and HW FN were repeated three and two times, respectively, using independently collected nectars (Additional file 8). The majority of the low abundant spots in UT FN (Figure 2) and HW FN (Figure 3) were detected in the second or third replicates (Additional file 8). We also searched for fragments of ribulose bisphosphate carboxylase (RUBISCO) enzyme, which was found as a collection-related contamination of FN in our previous study . No peptide fragment from RUBISCO proteins was detected in FN after modifying a collection method (See Methods). These data suggest that most of proteins identified in this study were FN proteins and free from contamination. However, some spots marked as ‵12′ and‵40-42′ in UT (Figure 2) and as ‵2′ in HW (Figure 3) appeared only once amongst the replicates, suggesting that they could be minor contaminants from other floral tissues (Additional file 8).
NEC1 orthologs in N. attenuata
In addition to the three NaNEC1 proteins, seven germin-like proteins were found in a transcriptome database (Figure 4B), and their transcripts were found in various tissues (Additional file 10). To establish the phylogenetic relationships among the 10 germin-like proteins and the NEC1 of an ornamental tobacco, their amino acid sequences were analyzed using UPGMA (unweighted pair group method with arithmetic mean) with the Geneious software. The phylogenetic relationships were unrelated to the accumulation of each protein in FN. Proteins encoded by NaNEC1c shared a high similarity with NaNEC1b, but NaNEC1c were not found in the FN of either accession although the NaNEC1c transcripts accumulated to a similar level as NaNEC1b transcripts in nectary (Figure 4).
NaNEC5s and lipid transfer proteins in N. attenuata
Similarly, the transcripts of two genes encoding a lipid transfer protein were highly abundant in UT nectary (Figure 5B), but neither was detected in 2D gel electrophoresis image of UT FN (Figure 2). However, lipid transfer protein2 was identified in HW FN (Figure 3 and Additional file 7).
Microarray analysis of N. attenuatatranscriptome in nectaries
Most FN proteins are thought to play roles in the inhibition of microbial growth in sugar-rich nectar [24, 31–33]. Therefore, we were particularly interested in FN proteins involved in this process. Several defense-related genes were highly accumulated in nectary (Additional file 12). However, some defense proteins known to be accumulated in FN of other species [16, 34] were not detected in FN of N. attenuata by our analysis although their transcripts were abundant in the nectary. The transcripts of a floral defensin homolog  were abundant in the nectary (Na_454_02952), but its protein was not detected in FN. In addition nectary-specific PR (Na_454_06271) and RNase (Na_454_10706, Na_454_22815, Na_454_31748, Na_454_39811) were not detected in FN (Additional file 12). Interestingly, the accumulation of several transcripts encoding FN proteins: glucosidase (Na_454_00960), xylosidase (Na_454_00142), galactosidase (Na_454_03215), chitinase (Na_454_03840), and annexin (Na_454_00713), were reduced in the nectary compared to leaf, root, stem, and corolla tissues (Additional file 15). The data suggests that there is no strong correlation between transcript accumulation in nectary and its accumulation in FN.
We found a group of transcription factors (TFs) that were specifically expressed in nectary tissues. CRABS CLAW plays a critical role in nectary development of A. thaliana, and transcripts of a putative ortholog in N. attenuata (Na_454_06102, Additional file 16) were abundant in nectaries (Additional file 12). YABBY TF (Na_454_33877) and Class III HD-ZIP TF (Na_454_12695) also showed nectary-enriched accumulation patterns. Additionally, we found five nectary-specific MADS TFs which are putative homologs of SEEDSTICK TF involved in floral organ formation of Arabidopsis (Additional file 12) [36, 37].
Variations of FN proteins in N. attenuataaccessions
In the nectar redox cycle proposed by Thornburg and colleagues (2004), NEC1 and NEC5 enzymes produce H2O2 in nectar, and both are highly expressed in an ornamental tobacco . NaNEC1a and NaNEC1b proteins showed high sequence similarity to the ornamental tobacco NEC1, and was expressed in similar amounts per volume of nectar in the 11 accessions that we analyzed. Interestingly, N. attenuata has two NEC1-like proteins (NaNEC1a and NaNEC1b) in its FN, and accessions producing large amounts of NaNEC1b produce little or no NaNEC5 (Figure 1). NaNEC1b may serve the same function as NaNEC5 in hydrogen peroxide production in FN .
The FN of the HW accession of N. attenuata additionally contained NaNEC5a and NaNEC5b, and a lipid transfer protein compared to the UT FN. Interestingly, at least three NaNEC5 genes and two genes encoding lipid transfer proteins were highly expressed in UT nectary, but the proteins were not detected in the UT FN. The most likely explanation is natural variation due to recent mutation in the secretion mechanism for NaNEC5 and lipid transfer protein. However, we cannot rule out the possibility of translation inhibition of these genes in the UT nectary. An alternative hypothesis posed at the functional level of analysis to explain NaNEC5 expression in the UT nectary is that NaNEC5 may play an important role in nectary defense, not in the protection of FN.
Nectaries of Nicotiana species come into contact with the atmosphere and with precipitation, and contain both sugars and stomata, thus providing both food for pathogens and a means of entry into the plant [38, 39]. Nectary defense is essential for resistance against microbe infection of the entire plant. In this work, we found that transcripts of nectarins, PRs, and defensins accumulated specifically in the nectary, but their proteins were not secreted to the FN, indicating that the nectary produces two groups of defense proteins: one for nectary defense, and another to provide axenic nectar.
The molecular mechanism regulating nectary development and nectar secretion still remains unclear . Few genes involved in these processes have been characterized so far: CRABS CLAW TF in Arabidopsis and MYB305 TF in tobacco  regulate nectary maturation, and mutation of CELL WALL INVERTASE 4 transcript in Arabidopsis alters nectar secretion. We were able to identify nectary-specific Na_454_06102 and Na_454_08038 transcripts, which are homologous genes of CRABS CLAW and CELL WALL INVERTASE 4, respectively (Additional file 12). In a previous study, silencing MYB305-like genes in N. attenuata results in premature termination of flower development . In addition, large-scale transcriptome analyses in Arabidopsis and Brassica rapa can identify nectary-enriched gene family. Among them, lipid transfer protein and MATE transporter family were also highly accumulated in N. attenuata nectary. These data suggest that molecular components involved in nectary development are well-conserved in nectar-producing plants.
Putative functions of FN proteins in N. attenuata
The most abundant FN proteins of N. attenuata were nectarins, which have been found in an ornamental tobacco and play a role in the maintenance of high levels of hydrogen peroxide in FN. In addition, PR proteins (chitinase, thaumatine), lipid transfer protein, and RNase were identified in the FN of N. attenuata. These proteins are also expected to help maintain an axenic FN environment which prevents microbial growth [7, 31], but their exact functions have not yet been examined under natural conditions. Field experiments with plants silenced in the expression of or overexpressing putative nectar defense proteins would illuminate the roles of these putative nectar defense proteins and their impact on plants’ interactions with natural floral visitors. For instance, although increased peroxidase activity might better defend nectar against unwanted microorganisms, it would likely reduce pollinator visitation under natural conditions .
The identification of FN proteins and their transcripts is difficult, largely due to the lack of sequence information from nectar-producing plants. A major model plant, Arabidopsis has nectary tissues producing nectar and valuable tools to dissect the molecular mechanisms in nectary development , but the nectaries are miniscule and only secret nectar in trace amounts, which makes nectar collection and analysis a challenge . This study clearly shows that transcriptome sequence information combined with advanced LC-MS/MS analysis of gel separated proteins from a suitable model plant can be used to precisely identify FN proteins. In addition, natural variation in N. attenuata suggests a complex role of FN proteins in plant-pollinator-microbe interactions.
Workflow for protein identification in floral nectar
A workflow used for the identification of FN proteins in N. attenuata and their corresponding encoding genes, is depicted in Additional file 17. FN proteins were separated by 1 or 2D gel electrophoresis, and Coomassie-stained protein bands/spots were excised from the gel matrix and tryptically digested. Protein digests were then analyzed by nano-ultra-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). As N. attenuata is a non-model organism we used a combined approach for protein identification: highly specific stringent database searching using MASCOT software to identify conserved protein families and cross-species protein identification based on de novo interpretation of peptide tandem mass spectra followed by homology-driven MS BLAST searching to match proteins from phylogenetically related species. The de novo MS/MS sequence assemblies were searched against the NCBInr database and N. attenuata protein sequence database constructed by translating an in-house tanscriptome database . Furthermore, we used a 44 K custom N. attenuata microarray  to examine the expression of transcripts encoding FN proteins in various plant tissues including leaves, stems, roots, corollas, and nectaries. Nectary tissues were analyzed at two stages based on their maturation and color: early development white nectary (stage1) and late development orange nectary (stage2) (Additional file 13).
Wild-type (WT) plants, Nicotiana attenuata Utah accession (30th inbred generation) and Highway accession (5th inbred generation) were grown from seeds originating from a natural population in Utah. G1, G2, G4, G5, G6, G7, G8, G9 and G10 accessions were collected in Utah . Seeds were sterilized and germinated on Gamborg’s B5 medium as previously described . Ten-day old seedlings were transferred to small pots (TEKU JP 3050 104 pots, Pöppelmann GmbH & Co. KG, Lohne, Germany) with Klasmann plug soil (Klasmann-Deilmann GmbH, Geesten, Germany) and after 10 days, seedlings were transferred to 1 L pots. Plants were watered by a flood irrigation system and grown in the glasshouse at 26 - 28°C under 16 h supplemental light from Master Sun-T PIA Agro 400 or Master Sun-T PIA Plus 600 W Na lights (Philips, Turnhout, Belgium) and 8 h dark conditions.
Collection of FN and nectaries
Fully-opened flowers from N. attenuata accessions grown in a glasshouse were used for nectar analysis. Approximately 20 ~ 40 flowers on 10 individual plants for 1D-gel analysis and 200 ~ 300 flowers on 30 individual plants for 2D-gel analysis were carefully detached from flower stalks, and nectar was collected from the detached fully-opened flowers using a Pasteur pipette with a capillary tip. We measured nectar volume by inserting a calibrated 25 μL glass capillary into the detached corolla tube.
Development of the N. attenuata nectary is similar to the development of an ornamental tobacco (N. langsdorffii x N. sanderae) nectary . To examine transcriptome changes during nectary development, nectary tissues were roughly divided into two developmental stages: small, white, early-stage nectaries (stage 1) and large, orange, mature nectaries (stage 2) which ripen during flower development. Early and late developmental nectaries from approximately 600 flowers (200 flowers per day) were collected between 8 to 10 p.m. from the UT accession grown in the glasshouse to isolate total RNA.
Sequence alignment and phylogenetic analysis
Putative full-length sequences of nectarin1a (NCBI accession number JX871361), nectarin1b (accession number JX871362), nectarin1c (accession number JX871363), nectarin5a (accession number JX871364), nectarin5b (accession number JX871365), nectarin5c (accession number JX871366), lipid transfer protein1 (Na_454_00582, accession number JX871367) and lipid transfer protein2 (Na_454_10170, accession number JX871368) were deduced from a N. attenuata 454-transcriptome sequence database.
The amino acid sequences were aligned using the Geneious program V5.3 (http://www.geneious.com). The numbers of amino acid substitutions were estimated by a Jukes-Cantor model using a BLOSUM 62 matrix, through a global alignment with free end gaps option. A phylogenetic tree was reconstructed by the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) method. These analyses were performed using Geneious software V5.3 (http://www.geneious.com).
Microarray data analysis
Three biological replicates of each plant tissues were used for microarray. Total RNA isolation, hybridization, and data processing were carried out according to the procedures described in  All microarray data with each probe name were deposited in the NCBI GEO database (accession number GSE30287 for leaf and root , GSE30124 for stem, GSE33682 for corolla , GSE43394 for nectary).
MultiExperiment Viewer (MeV) software  was used for k-means clustering with the following parameter settings: Euclidean distance, number of clusters = 20 and for the significance analysis of microarrays analysis with the following parameter settings: false discovery rate = 0, number of permutations = 100. The R hclust function  was used to generate the heat map and to carry out the hierarchical clustering based on the Euclidean distance. To validate microarray results, quantitative real-time PCR was conducted using gene-specific primers (Additional file 18) as previously described in .
2D gel electrophoresis
Protein extracts were prepared from each accession (Utah and Highway) using 2-D Clean-up Kit (GE Healthcare). Sample aliquots containing 300 μg for Utah and 150 μg for Highway accession were subjected for 2D gel electrophoresis performed as described by Görg et al.. Briefly, air dried pellets obtained from the protein extraction were solubilized in 420 μL of lysis buffer containing 8 M Urea, 4% Chaps, 0.5% pharmalyte (pH 3 to 11), 60 mM DTT. Particles were removed by spinning samples down for 1 min at 10000 rpm in a bench centrifuge. Sample aliquots were diluted in rehydration buffer (8 M Urea, 2% Chaps, 0.5% Pharmalytes (pH 3 to 11), 0.2% DTT, 0.002% bromophenol blue) to achieve a final volume of 500 μL. 24 cm IPG strips (ImmobilineTM DryStrips pH 3 to 11NL, GE Healthcare) were rehydrated overnight at 20°C. Isoelectric focusing was performed on an EttanTM IPGphor IITM system (GE Healthcare) at constant 75 μA per strip and constant temperature of 20°C using a following program: at 500 V h-1, at 1000 V h-1, and at 5000 V h-1. Proteins were then reduced by incubation of IPG strips with buffer containing 6 M Urea, 30% glycerol, 50 mM Tris–HCl pH 8.8, 2% SDS, and 1% DTT for 20 min and alkylated in buffer containing 6 M Urea, 30% glycerol, 50 mM Tris–HCl pH 8.8, 2% SDS, and 2.5% iodoacetamide (20 min in dark).
The IPG strips were sealed on 15% acrylamide-bisacrylamide gels with a solution containing 0.5% agarose in Tris SDS-PAGE buffer. Electrophoresis was performed at 40 mA/gel with a voltage limit of 500 V at 25°C. A solution containing 25 mM Tris–HCl (pH 8.8), 192 mM glycin, 0.1% SDS was used as a running buffer. After fixation of gels for one hour in a solvent containing 20% methanol and 1% of 85% o-phosphoric acid, they were stained overnight with Roti®Blue.
In-gel digestion of samples for LC-MS/MS analysis
Protein bands of interest were cut from the gel matrix and in-gel digestion was carried out as described . Proteins were reduced (10 mM dithiothretol, 1 h, 56°C) and alkylated (55 mM iodoacetamide, 45 min in the dark). Destained, washed, dehydrated gel pieces were rehydrated for 60 min in 0.5 μM solution of porcine trypsin in 25 mM ammonium bicarbonate buffer at 4°C and then digested overnight at 37°C. The tryptic peptides were extracted from gel pieces with extraction buffer (70% ACN/5% formic acid) and the extracts were dried down in a vacuum centrifuge. For LC-MS analysis samples were reconstructed in 10 μL aqueous 1% formic acid. Depending on staining intensity, 5 to 8 μL of sample were injected into LC-MS/MS system.
A nanoAcquity nanoUPLC system (Waters, Manchester, UK) was used for peptide separation. Samples were injected onto a Symmetry C18 trap-column (20 × 0.18 mm, 5 μm particle size) using a mobile phase of 0.1% aqueous formic acid at a flow rate of 15 μL min-1 and separated on a nanoAcquity C18 column (200 mm × 75 μm ID, C18 BEH 130 material, 1.7 μm particle size) by in-line gradient elution at a flow rate of 0.350 μl min-1 using an increasing acetonitrile gradient from 1% to 95% B over 90 min (Buffers: A, 0.1% formic acid in water; B, 100% acetonitrile in 0.1% formic acid).
The eluted peptides were transferred into a Synapt HDMS Q-Tof tandem mass spectrometer equipped with a nanolockspray ion source (Waters, Manchester, UK). The mass spectrometer was operated in the data-dependent acquisition (DDA) mode using MassLynx software (version 4.1); the acquisition cycle consisted of a survey scan covering the range of m/z 400 to 1500 Da followed by MS/MS fragmentation of the four most intense precursor ions collected over a 1 sec interval in the range of m/z 50 to 1700 Da. A 650 fmol μL-1 human Glu-fibrinopeptide B in 0.1% formic acid/acetonitrile (1:1, v/v) was infused as the external mass calibrant at a flow rate of 0.5 μL min-1 through the reference NanoLockSpray source every 30 seconds.
Data processing and protein identification
DDA raw files were processed using ProteinLynx Global Server Browser (PLGS) software (version 2.5, Waters, Manchester, UK) under baseline subtraction, smoothing, de-isotoping, and lockmass-correction. Pkl-files of MS/MS spectra were generated and searched using MASCOT software (version 2.3, installed on a local server) against NCBInr database (updated September, 11, 2011, containing 15270974 sequence entries) combined with N. attenuata protein subdatabase (containing 166315 sequences, constructed from in-house created EST database by its translation from all six reading frames). Mass tolerances for precursor and fragment ions were 15 ppm and 0.03 Da, respectively. Other search parameters were: instrument profile, ESI-Trap; fixed modification, carbamidomethyl (cysteine); variable modification, oxidation (methionone); up to 1 missed cleavage were allowed. Criteria to distinguish between confident and non-confident protein identifications were following: hits were considered as confident if at least three peptides were matched with ion scores above 25, or proteins were identified by one or two peptides with score of 50 or better.
In parallel acquired tandem mass spectra were subjected to homology-based database searching. Here, processed MS/MS spectra were first searched using PLGS software (using the same search parameters as described above) against a subdatabase containing common background proteins (human keratins and trypsin). Spectra remained unmatched by database searching were interpreted de novo using following sequencing parameters: fragment mass deviation, 0.002 Da, and ladder score (percentage of expected y- and b-ions) exceeding 40. Subsequently obtained de novo peptide sequences were subjected for homology-based database searching using MS BLAST program (Shevchenko et al., 2001) installed on local server. MS BLAST searches were performed against complete NCBInr protein database (updated on August, 10, 2011, containing 14977208 sequence entries) as well as against N. attenuata (containing 166315 sequences, constructed in-house as described before). Statistical significance of hits was evaluated according to MS BLAST scoring scheme .
We thank Dr. Meredith C. Schuman for language-editing and Celia Diezel for help with sample collection. This work is supported by European Research Council advanced grant ClockworkGreen (No. 293926) to ITB, the Global Research Lab program (2012055546) and the Leaping Research Program (20110016440) from the National Research Foundation of Korea, and the Max Planck Society.
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