Abstract
The spine-bellied sea snake (Hydrophis curtus) is known to cause human deaths, yet its venom composition has not yet been proteomically characterised. An in-depth proteomic analysis was performed on H. curtus venom from two different seasons, January and June, corresponding to adults and subadults, respectively. Venoms from adult and subadult H. curtus individuals were compared using reversed-phase high-performance liquid chromatography (RP-HPLC), matrix-assisted laser desorption ionisation-time of flight (MALDI-TOF) mass spectrometry and liquid chromatography electrospray ionisation mass spectrometry (LC-ESI-MS) to detect intraspecific variation, and the molecular weight data obtained with ESI-MS were used to assess toxin diversity. RP-HPLC and LC-ESI-MS/MS were used to characterise the venom proteome and estimate the relative abundances of protein families present. The most abundant protein family in January and June venoms is phospholipase A2 (PLA2: January 66.7%; June 54.5%), followed by three-finger toxins (3FTx: January 30.4%; June 40.4%) and a minor component of cysteine-rich secretory proteins (CRISP: January 2.5%; June 5%). Trace amounts of snake venom metalloproteinases (SVMP), C-type lectins and housekeeping and regulatory proteins were also found. Although the complexity of the venom is low by number of families present, each family contained a more diverse set of isoforms than previously reported, a finding that may have implications for the development of next-generation sea snake antivenoms. Intraspecific variability was shown to be minor with one obvious exception of a 14,157-Da protein that was present in some January (adult) venoms, but not at all in June (subadult) venoms. There is also a greater abundance of short-chain neurotoxins in June (subadult) venom compared with January (adult) venom. These differences potentially indicate the presence of seasonal, ontogenetic or sexual variation in H. curtus venom.
Keywords: Hydrophis curtus, spine-bellied sea snake, sea snake venom, venom proteome, venomics, intraspecific variation
1. Introduction
The viviparous sea snakes (Elapidae: Hydrophiinae: Hydrophinii) consist of 62 species that are phylogenetically placed within the terrestrial elapids [1]. Phylogenetic relationships among sea snakes have been clarified in recent years, with Hydrophis and Aipysurus emerging as the two major clades [1]. Sea snakes are widespread in the shallow tropical and subtropical marine waters of northern Australia, the western Pacific and Indian Oceans and the Persian Gulf [2,3], feeding predominantly on sedentary, bottom-dwelling fish [4]. Two or three are generalist feeders, whereas most are specialists, favouring prey such as eels, gobies and catfish [4].
Sea snake venoms are relatively simple mixtures, containing a limited number of toxin families and isoforms [5,6], potentially as a result of their limited fish diet, which is believed to require a minimal suite of toxins [5]. Characteristically, the venom is dominated by toxins from two protein families, the neurotoxic three-finger toxins (3FTx) and myotoxic phospholipase A2 (PLA2) [6,7,8,9]. Sea snake venom can be dangerous to humans, in severe cases causing myolysis and/or neuromuscular paralysis that can be lethal without prompt treatment [10,11,12,13]. Most at risk are Asian fishermen using traditional methods, who encounter the animals when handling nets or sorting fish [12]. The spine-bellied sea snake (Hydrophis curtus; synonymous with Lapemis curtus, Lapemis hardwickii and Hydrophis hardwickii) [14], the most generalist feeder of all the sea snakes [4], is one of the species known to be responsible for human fatalities [15,16]. It is all the more hazardous because it is likely to be encountered by people, being one of the most widely-distributed sea snakes, found from northern Australia to the Persian Gulf via Southeast Asia [14], and is common throughout much of its range [12,15,17]. Further, it is prone to biting defensively if captured, such as if caught in a fishing net [18].
The degree of intraspecific venom variation in sea snakes is unclear as little work has been done and the available evidence is contradictory. In H. curtus venom, liquid chromatography electrospray ionisation mass spectrometry (LC-ESI-MS) shows some differences in the molecular weights of venom proteins between widely-separated populations [5], suggesting compositional variation may exist. Conversely, studies on other species comparing reversed-phase high-performance liquid chromatography (RP-HPLC) chromatograms show limited variation, even between allopatric populations [6,8]. Fourteen toxins in total have been isolated and sequenced from H. curtus venom. There are four PLA2 toxins (Q8UW30, Q8UW08, A3FM57 and Q8UW31) [19,20], three 3FTx short-chain α-neurotoxins (P68416, Q8UW26 and Q8UW27) [21,22] and three 3FTx long-chain α-neurotoxins (Q8UW28, A3FM53 and Q8UW29) [19]. Two cysteine-rich secretory proteins (CRISP) (Q8UW25 and Q8UW11) [23], a snake venom serine protease (SVSP) (Q5MCS0) [24] and a C-type lectin (A3FM55) have also been found [19]. In accordance with the presence of 3FTx, H. curtus venom shows post-synaptic neurotoxicity in chick biventer cervicis nerve-muscle preparations [25]. The venom demonstrates myotoxicity in mice [26], consistent with the presence of PLA2 toxins, and shows only low levels of other enzymatic activity [27]. An estimate of the relative proportions of toxin families in H. curtus venom was attempted using cDNA cloned from venom gland mRNA, suggesting the venom contained 43.4% 3FTx, 9.8% PLA2 and 2.3% CRISP [28].
The composition of H. curtus venom has not yet been comprehensively determined with proteomic analysis. In fact, the venom proteomes of only four sea snakes have been published so far, despite the group’s medical significance [6,7,8,9]. To increase understanding of sea snake venoms, and H. curtus venom specifically, this study presents a proteomic analysis of pooled H. curtus venom from two different seasons, January and June, corresponding to adults and subadults, respectively. RP-HPLC and LC-ESI-MS/MS were employed to characterise the venom proteome and estimate the relative abundances of protein families present using a modified version of the “snake venomics” workflow proposed by Calvete [29]. Additionally, intraspecific venom variation was assessed with RP-HPLC, matrix-assisted laser desorption ionisation-time of flight (MALDI-TOF) mass spectrometry and LC-ESI-MS, and toxin diversity was assessed using the data obtained with LC-ESI-MS.
2. Results
2.1. Assessment of Variation in H. curtus Venom
To determine the presence of any intraspecific variation present in H. curtus venom, the venom composition was analysed and compared by RP-HPLC and LC-MS. An initial comparison of the same venom sample by RP-HPLC using a C4 and a C12 column showed improved peak resolution with the C4 column. A comparison of RP-HPLC chromatograms from January and June pooled samples shows most peaks are common (Figure 1). January venom has three extra peaks, 4b, 5b and the peak marked with an asterisk (*). June venom has one peak not present in January venom (6c). ESI-MS molecular weight data were generally congruent between June Peak 4 and January Peaks 4a and 4b; June Peak 5 and January Peaks 5a and 5b; and June Peaks 6a–6c and January Peaks 6a–6b (Table 1). In most of the exceptions, the molecular weights were detected in neighbouring peaks of the other venom or were present in small quantities, with the exception of a molecule 13,336 Da in size that was abundant in Peak 4a of the January pool. The peak marked with an asterisk (*), which corresponds to 2.5% of the total peak area of the RP-HPLC chromatogram, predominantly consists of a molecule 14,157 Da in size. In individual January adults, this peak varies in abundance and presence. In a comparison of three representative individuals (Figure 2A–C), the peak is present and comparatively abundant in Sample 11 at 7.2% of total peak area (Figure 2A), reduced in Sample 9 to 0.7% of total peak area (Figure 2B) and virtually non-existent in Sample 5 (Figure 2C). This molecule and the peak are absent in all June venoms (Figure 3A–C), including the single adult sample available.
Table 1.
Peak | Peak Area % | June MW (Da) | January MW (Da) | Peptides (95%) | Score | Cov % (95%) | Protein Family | Related protein (exPASy MW) | Species (Accession) |
---|---|---|---|---|---|---|---|---|---|
1 | 10.1 |
6,688.5 6,745.3 6728.2 |
6,746.8 6,688.4 6,800.8 |
43 | 16.0 | 58.0 | 3FTx | Short neurotoxin 1 (6689.5) | Hydrophis hardwickii (P68416) |
2 | 0.05 |
6,688.1 6,747.1 6,727.9 6,720.2 7,732.8 6,811.8 |
6,747.7 6,688.4 6,800.8 6,353.0 6,720.8 6,811.4 7,734.8 |
16 | 25.6 | 33.6 | CRISP | Cysteine-rich venom protein 1 | Hydrophis hardwickii (Q8UW25) |
8 | 13.5 | 52.2 | 3FTx | α-elapitoxin-Lh2a | Hydrophis hardwickii (Q8UW28) | ||||
13 | 12.0 | 58.0 | 3FTx | Short neurotoxin 1 (6689.5) | Hydrophis hardwickii (P68416) | ||||
6 | 10.2 | 58.1 | 3FTx | Long neurotoxin 2 | Hydrophis hardwickii (A3FM53) | ||||
16 | 9.1 | 28.6 | CRISP | Cysteine-rich venom protein pseudechetoxin-like | Notechis scutatus scutatus (Q3SB04) | ||||
17 | 2.0 | 29.4 | CRISP | Cysteine-rich secretory protein | Cryptophis nigrescens (B5G6G3) | ||||
3 | 22.4 |
7,632.4 7,574.4 7,556.7 7,614.7 |
7,632.7 7,574.6 7,686.5 7,614.3 7,556.1 |
48 | 54.7 | 79.4 | 3FTx | Alpha-elapitoxin-Lh2a (7633.7) | Hydrophis hardwickii (Q8UW28) |
13 | 16.0 | 57.6 | 3FTx | Long neurotoxin 1 | Hydrophis hardwickii (Q8UW29) | ||||
4 | 6.4 | 43.2 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
9 | 6.0 | 58.1 | 3FTx | Long neurotoxin 2 | Hydrophis hardwickii (A3FM53) | ||||
4 | 4.2 | 13.5 | CRISP | Cysteine-rich venom protein 2 | Hydrophis hardwickii (Q8UW11) | ||||
2 | 3.1 | 7.5 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
8 | 2.2 | 20.3 | 3FTx | Toxin Lc a | Laticauda colubrina (P0C8R7) | ||||
4 | 4.5 | 13,252.0 13,307.7 13,325.1 7,632.3 7,574.6 15,670.2 7,733.5 |
13,336.1 13,308.8 7,632.6 13,328.7 7,574.1 13,251.7 13,389.7 7,614.6 7,686.5 15,726.2 15,672.7 |
113 | 93.9 | 77.4 | PLA2 | Basic phospholipase A2 73 (13,310.0) | Hydrophis hardwickii (Q8UW30) |
42 | 31.2 | 79.4 | 3FTx | α-elapitoxin-Lh2a (7633.7) | Hydrophis hardwickii (Q8UW28) | ||||
17 | 18.8 | 62.0 | 3FTx | Long neurotoxin 1 | Hydrophis hardwickii (Q8UW29) | ||||
61 | 12.2 | 74.7 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
9 | 11.7 | 29.4 | CRISP | Cysteine-rich venom protein 2 | Hydrophis hardwickii (Q8UW11) | ||||
4 | 7.9 | 58.0 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
14 | 4.2 | 29.0 | PLA2 | Acidic phospholipase A2 57 | Hydrophis hardwickii (Q8UW31) | ||||
9 | 4.0 | 59.1 | 3FTx | Long neurotoxin 2 | Hydrophis hardwickii (A3FM53) | ||||
6 | 2.0 | 28.3 | PLA2 | PLA-2-Den-2 | Denisonia devisi (R4G2S8) | ||||
4–5 | – | – | – | 154 | 86.9 | 76.7 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) |
117 | 21.4 | 75.3 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
29 | 18.7 | 69.6 | 3FTx | α-elapitoxin-Lh2a | Hydrophis hardwickii (Q8UW28) | ||||
15 | 12.3 | 62.0 | 3FTx | Long neurotoxin 1 | Hydrophis hardwickii (Q8UW29) | ||||
4 | 7.4 | 58.0 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
29 | 5.3 | 43.4 | PLA2 | Acidic phospholipase A2 57 | Hydrophis hardwickii (Q8UW31) | ||||
7 | 3.2 | 12.6 | CRISP | Cysteine-rich venom protein 2 | Hydrophis hardwickii (Q8UW11) | ||||
29 | 2.2 | 26.7 | PLA2 | Acidic phospholipase A2 S5-32M | Austrelaps superbus (Q9PUH4) | ||||
3 | 2.1 | 4.2 | SVMP | Nigrescease-1 | Cryptophis nigrescens (B5KFV8) | ||||
8 | 2.0 | 17.7 | PLA2 | Putative phospholipase A2 | Austrelaps labialis (B2BRS9) | ||||
4 | 2.0 | 20.3 | 3FTx | Toxin Lc b | Laticauda colubrina (P0C8R8) | ||||
5 | 3.3 |
13,344.9 13,401.7 7,632.5 7,574.4 13,269.8 13,364.8 13,326.8 |
13,344.7 13,401.4 7,632.4 7,574.1 |
116 | 122.7 | 76.0 | PLA2 | Basic phospholipase A2 (13,346.0) | Hydrophis hardwickii (Q8UW08) |
25 | 26.7 | 69.6 | 3FTx | α-elapitoxin-Lh2a (7633.7) | Hydrophis hardwickii (Q8UW28) | ||||
20 | 26.0 | 60.5 | PLA2 | Acidic phospholipase A2 57 | Hydrophis hardwickii (Q8UW31) | ||||
73 | 20.3 | 67.1 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
8 | 16.0 | 22.7 | CRISP | Cysteine-rich venom protein 1 | Hydrophis hardwickii (Q8UW25) | ||||
9 | 12.1 | 15.2 | SVMP | Zinc metalloproteinase-disintegrin-like MTP9 | Drysdalia coronoides (F8RKV9) | ||||
4 | 8.0 | 57.6 | 3FTx | Long neurotoxin 1 | Hydrophis hardwickii (Q8UW29) | ||||
3 | 6.0 | 43.2 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
16 | 4.0 | 34.8 | PLA2 | Basic phospholipase A2 3 | Laticauda semifasciata (P00612) | ||||
2 | 2.0 | 20.3 | 3FTx | Toxin Lc a | Laticauda colubrina (P0C8R7) | ||||
* | 2.5 | – | 14,157.2 7,632.1 13,401.6 13,345.2 7,574.6 |
144 | 136.6 | 77.6 | PLA2 | Acidic phospholipase A2 57 | Hydrophis hardwickii (Q8UW31) |
56 | 55.9 | 72.6 | PLA2 | Basic phospholipase A2 (13,346.0) | Hydrophis hardwickii (Q8UW08) | ||||
19 | 18.6 | 64.1 | 3FTx | α-elapitoxin-Lh2a (7633.7) | Hydrophis hardwickii (Q8UW28) | ||||
46 | 15.5 | 71.9 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
3 | 6.0 | 43.2 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
13 | 6.0 | 20.4 | PLA2 | PLA2-Bra-11 | Brachyurophis roperi (R4G2E0) | ||||
2 | 4.1 | 7.6 | CRISP | Cysteine-rich venom protein 2 | Hydrophis hardwickii (Q8UW11) | ||||
2 | 2.7 | 20.3 | 3FTx | Toxin Lc a | Laticauda colubrina (P0C8R7) | ||||
8 | 2.1 | 29.7 | PLA2 | Pa-18 | Pseudechis australis (Q45Z21) | ||||
9 | 2.0 | 17.1 | PLA2 | Acidic phospholipase A2 2 | Ophiophagus hannah (Q9DF33) | ||||
6a, 6b, 6c | 47.9 |
14,215.4 14,314.8 7,632.6 14,269.3 7,574.8 13,113.8 13,402.4 13,170.5 7,685.9 13,325.3 7,615.0 |
14,215.5 14,314.6 7,632.4 7,574.3 |
116 | 115.2 | 73.7 | PLA2 | Acidic phospholipase A2 57 (14,217.0) | Hydrophis hardwickii (Q8UW31) |
26 | 20.1 | 56.2 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
8 | 14.0 | 64.1 | 3FTx | α-elapitoxin-Lh2a (7633.7) | Hydrophis hardwickii (Q8UW28) | ||||
22 | 10.0 | 65.8 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
4 | 6.8 | 58.0 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
2 | 4.0 | 7.6 | CRISP | Cysteine-rich venom protein 2 | Hydrophis hardwickii (Q8UW11) | ||||
12 | 2.1 | 47.7 | PLA2 | PLA-2 | Notechis scutatus (Q45Z32) | ||||
5 | 1.5 | 19.0 | PLA2 | Basic phospholipase A2 2 (Fragment) | Bungarus caeruleus (Q6SLM1) | ||||
7 | 2.7 |
14,215.4 14,269.6 14,295.5 14,315.1 13,946.5 |
14,215.4 14,295.5 14,269.9 13,514.1 14,315.2 13,457.4 |
157 | 130.3 | 82.2 | PLA2 | Acidic phospholipase A2 57 (14,217.0) | Hydrophis hardwickii (Q8UW31) |
17 | 10.3 | 56.9 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
6 | 6.8 | 34.8 | 3FTx | α elapitoxin-Lh2a | Hydrophis hardwickii (Q8UW28) | ||||
19 | 6.0 | 55.5 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
3 | 5.6 | 43.2 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
16 | 4.0 | 45.5 | PLA2 | Putative phospholipase A2 | Austrelaps labialis (B2BRS7) | ||||
9 | 4.0 | 45.2 | PLA2 | Acidic phospholipase A2 2 | Ophiophagus hannah (Q9DF33) | ||||
4 | 3.2 | 12.2 | CRISP | Cysteine-rich venom protein 1 | Hydrophis hardwickii (Q8UW25) | ||||
12 | 2.0 | 46.7 | PLA2 | PLA2 Hs-1 | Hoplocephalus stephensii (A6MJG3) | ||||
8a, 8b | 0.23 | 14,328.8 14,428.3 14,214.9 14,381.2 14,267.9 |
14,328.2 14,216.0 14,052.6 14,382.3 14,269.9 |
76 | 87.6 | 78.3 | PLA2 | Acidic phospholipase A2 57 (14,217.0) | Hydrophis hardwickii (Q8UW31) |
16 | 16.4 | 56.9 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
12 | 12.9 | 62.0 | 3FTx | α-elapitoxin-Lh2a | Hydrophis hardwickii (Q8UW28) | ||||
4 | 6.6 | 16.8 | CRISP | Cysteine-rich venom protein 1 | Hydrophis hardwickii (Q8UW25) | ||||
3 | 6.4 | 43.2 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
18 | 6.0 | 55.5 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
6 | 4.0 | 31.8 | PLA2 | PLA-2 | Notechis scutatus (Q45Z32) | ||||
9a | 0.7 | 15,045.6 15,144.9 14,216.4 14,975.0 15,102.3 14,847.0 14,934.0 15,003.3 15,074.1 |
15,046.2 15,005.0 15,144.2 15,101.5 14,846.2 14,975.0 14,886.8 15,370.2 |
64 | 65.6 | 80.9 | PLA2 | Acidic phospholipase A2 57 (14,217.0) | Hydrophis hardwickii (Q8UW31) |
17 | 12.6 | 73.3 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
8 | 7.8 | 52.2 | 3FTx | α-elapitoxin-Lh2a | Hydrophis hardwickii (Q8UW28) | ||||
18 | 6.0 | 61.0 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
3 | 5.6 | 43.2 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
7 | 3.1 | 27.3 | CRISP | Cysteine-rich venom protein 1 | Hydrophis hardwickii (Q8UW25) | ||||
9b | 0.5 | 15,044.9 15,004.8 14,845.6 14,934.0 14,215.6 20,615.9 |
15,045.6 15,004.0 14,846.8 14,214.6 14,933.4 15,099.5 14,973.8 15,145.5 15,073.4 14,886.3 20,614.6 |
103 | 99.3 | 88.2 | PLA2 | Acidic phospholipase A2 57 (14,217.0) | Hydrophis hardwickii (Q8UW31) |
20 | 16.5 | 47.1 | CRISP | Cysteine-rich venom protein 1 | Hydrophis hardwickii (Q8UW25) | ||||
16 | 13.6 | 59.0 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
6 | 6.9 | 24.3 | PEBP | Phosphatidylethanolamine-binding protein 4 | Micrurus fulvius (U3FZ77) | ||||
17 | 5.6 | 61.0 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
4 | 5.4 | 58.0 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
5 | 5.0 | 51.1 | 3FTx | α-elapitoxin-Lh2a | Hydrophis hardwickii (Q8UW28) | ||||
2 | 1.7 | 3.8 | Hsp70 | 78 kDa glucose-regulated protein | Ophiophagus hannah (V8NEC1) | ||||
16 | 1.4 | 37.0 | CRISP | Cysteine-rich venom protein 2 | Hydrophis hardwickii (Q8UW11) | ||||
10 | 7.5 |
24,321.2 24,420.2 24,223.2 24,521.0 24,058.7 14,215.2 |
24,320.5 24,419.6 24,520.7 24,222.4 24,058.3 14,215.2 |
86 | 77.4 | 75.2 | CRISP | Cysteine-rich venom protein 2 (24,522.8) | Hydrophis hardwickii (Q8UW11) |
12 | 9.4 | 68.4 | PLA2 | Acidic phospholipase A2 57 (14,217.0) | Hydrophis hardwickii (Q8UW31) | ||||
6 | 7.6 | 37.7 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
4 | 5.7 | 28.4 | Cys | Cystatin | Hoplocephalus stephensii (E3P6P0) | ||||
3 | 5.4 | 43.2 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
50 | 5.3 | 63.0 | CRISP | Cysteine-rich venom protein 1 (24,334.8) | Hydrophis hardwickii (Q8UW25) | ||||
23 | 4.9 | 36.1 | CRISP | Cysteine-rich venom protein pseudechetoxin | Pseudechis australis (Q8AVA4) | ||||
7 | 4.7 | 47.3 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
6 | 2.7 | 52.2 | 3FTx | α-elapitoxin-Lh2a | Hydrophis hardwickii (Q8UW28) | ||||
11 | 0.13 | 43,732.5 | 43,730.9 43,414.4 |
32 | 51.2 | 60.1 | CRISP | Cysteine-rich venom protein 2 | Hydrophis hardwickii (Q8UW11) |
13 | 26.1 | 67.1 | PLA2 | Acidic phospholipase A2 57 | Hydrophis hardwickii (Q8UW31) | ||||
30 | 14.5 | 52.5 | CRISP | Cysteine-rich venom protein 1 | Hydrophis hardwickii (Q8UW25) | ||||
9 | 12.6 | 45.2 | PLA2 | Basic phospholipase A2 | Hydrophis hardwickii (Q8UW08) | ||||
5 | 10.7 | 5.0 | Golgin | Golgi apparatus protein 1 (Fragment) | Ophiophagus hannah (V8NSK8) | ||||
5 | 10.7 | 5.8 | Trans | Transferrin | Boiga irregularis (A0A0B8RPR5) | ||||
5 | 7.8 | 51.1 | 3FTx | α-elapitoxin-Lh2a | Hydrophis hardwickii (Q8UW28) | ||||
3 | 6.1 | 43.2 | 3FTx | Short neurotoxin 1 | Hydrophis hardwickii (P68416) | ||||
10 | 6.0 | 52.7 | PLA2 | Basic phospholipase A2 73 | Hydrophis hardwickii (Q8UW30) | ||||
5 | 6.0 | 10.5 | Nucleo | Nucleobindin-2 | Micrurus fulvius (U3FBZ2) | ||||
2 | 4.2 | 11.6 | CTL | C-type lectin 1 | Hydrophis hardwickii (A3FM55) | ||||
2 | 4.1 | 7.6 | PC1A | Cathepsin B | Micrurus fulvius (U3FD65) | ||||
12 | 4.0 | 30.7 | CRISP | Cysteine-rich venom protein pseudechetoxin | Pseudechis australis (Q8AVA4) | ||||
3 | 2.2 | 6.0 | Trans | Transferrin | Boaedon fuliginosus (Q1EL74) |
The unique January peak is labelled with an asterisk (*). Peak areas are all calculated from the RP-HPLC chromatogram of June pooled venom, except for the unique January peak, which is from the RP-HPLC chromatogram of January pooled venom. ESI-MS molecular weights (MW in Da) are listed in approximate descending order of intensity. Molecular weights in bold blue are similar in size to known H. curtus proteins, as calculated by exPASy. Average exPASy calculated molecular weights (exPASy MW) are in brackets after related proteins where a similar molecular weight was detected by ESI-MS in the same peak. Unused score values and the number of peptides and coverage (Cov) with ≥95% confidence are calculated with the Paragon algorithm of ProteinPilot. Protein family abbreviations: 3FTx = three-finger toxin; CRISP = cysteine-rich secretory protein; PLA2 = phospholipase A2; SVMP = snake venom metalloproteinase; PEBP = phosphatidylethanolamine-binding protein; Hsp70 = heat shock protein; Cys = cystatin; Golgin = golgin; Trans = transferrin; Nucleo = nucleobindin; CTL = C-type lectin; PC1A = Peptidase C1A. Cysteine residues are carbamidomethylated. Full details of MS/MS-derived sequences and the masses and charges of peptide ions for ProteinPilot searches can be found in the Supplementary Material (Supplementary Tables S1–S4).
Analysis of January individuals by MALDI-TOF mass spectrometry showed that molecular weight data were consistent between individuals, with very few exceptions. A comparison of MALDI-TOF and ESI-MS showed that the chromatography resolution and molecular weight data were consistent between the two (see Figure S1 in Supplementary Materials S9), except that more masses were detected with ESI-MS. January and June pooled samples, and all individual June samples were therefore analysed by ESI-MS. Figure 4 shows the number, distribution and variation of molecules present in the pooled H. curtus samples and three representative June individuals. It depicts three discrete clusters of components with molecular weights ranging from 6–8 kDa, 13–16 kDa and 24–25 kDa, which are consistent with the 3FTx, PLA2 and CRISP protein families, respectively [29]. One or two molecular weights are also found in the 20–21 kDa and 43–44 kDa ranges. The January and June pools contained 49 and 44 unique molecules respectively. Of those, 37 were common to both samples, leaving 12 unique molecules in the January pool and seven in the June pool. There was more variation between individuals, with the number of molecules found in each sample ranging from 26–48. Individual venoms, while showing a high degree of consistency between the major components of each peak, did not contain all molecules, and in some cases, molecules were unique to a single sample. Variation in the number of molecules between the representative individual venoms is particularly obvious in Bins 13–14 and 15–16 (Figure 4). In the June pool, the proportion of molecules in the 6–8 kDa cluster (3FTx) accounted for 25.0% of the total versus 59.1% for the 13–16 kDa cluster (PLA2). The breakdown of the remainder was 11.4% for 24–25 kDa (CRISP) and 2.3% for both 20–21 kDa and 43–44 kDa. The almost identical January pool breakdown of molecular weights was as follows: 6–8 kDa 24.5%; 13–16 kDa 59.2%; 20–21 kDa 2.0%; 24–25 kDa 10.2%; and 43–44 kDa 4.1%.
2.2. Protein Identification with ProteinPilot and MASCOT
Searches were conducted using ProteinPilot and MASCOT, and the full results are included in Supplementary Tables S1–S8, including MS/MS-derived sequences, mass to charge ratios (m/z) and charges (z) from ProteinPilot (Tables S1–S4). Table 1 summarises the results from the ProteinPilot searches of all peaks in the June pooled venom (Table S2) and the peak unique to January venom (Table S1) against the UniProtKB Serpentes database, as well as the molecular weights detected in ESI-MS analysis of January and June pooled venoms. 3FTx toxins are dominant in Peaks 1–3, PLA2 in Peaks 4–9b and CRISP in Peak 10. ESI-MS-derived molecular weights consistent with those families follow the same pattern. The phosphatidylethanolamine-binding protein 4 (U3FZ77) found in Peak 9b is consistent with the 20,615-Da molecule found in the same peak. A C-type lectin and a number of housekeeping and regulatory proteins are found in Peak 11, and SVMP is found in Peaks 4–5. This distribution of protein families is consistent with all other searches performed (Supplementary Tables S1–S8).
2.3. Relative Protein Abundance Estimations Using MASCOT emPAI
Figure 5 shows the relative abundances of toxin families in pooled January (adult) and June (subadult) H. curtus venoms, which were calculated with MASCOT exponentially-modified protein abundance index (emPAI) scores from searches against the UniProtKB Serpentes database. In both January and June venoms, PLA2 is most abundant. In January venom, the total PLA2 is 66.7% (57.93% acidic PLA2 and 8.76% basic PLA2), while in June venom, the total PLA2 makes up a smaller proportion of the venom at 54.5% (41.21% acidic PLA2 and 13.28% basic PLA2). The acidic portion is composed almost entirely of one toxin, acidic phospholipase A2 57 (Q8UW31), making it the most abundant toxin in the venom. 3FTx makes up most of the remainder in both venoms. January venom contains a total of 30.4% 3FTx (22.11% long-chain neurotoxins and 8.33% short-chain neurotoxins), while the proportion of 3FTx in June venom is higher at 40.4%, which is largely due to a greater proportion of short-chain neurotoxins (20.76%). The proportion of long-chain neurotoxins is similar between samples (19.67% and 22.11% in June and January venoms, respectively). CRISP takes up 2.53% and 4.95% in January and June venom respectively. Other components, including SVMP, C-type lectins and a handful of house-keeping and regulatory proteins, are present in trace amounts.
3. Discussion
3.1. Assessment of Variation in H. curtus Venom
The present study provides the first proteomic characterisation of the H. curtus venom, including venoms from two distinct seasons, January and June, which correspond to adults and subadults, respectively. This allowed us to assess not only the individual variation in venom, but also if seasonal and/or ontogenetic variation were present. Individual variation in toxin expression occurs regularly in snakes [30], as does ontogenetic variation, which is often driven by a change in diet as the snake matures to adulthood [31,32,33,34]; however, little evidence exists for seasonal variation [30]. In this sense, variations of all kinds are a highly relevant consideration when producing antivenoms in order to ensure all potential toxin activities can be neutralised [35,36].
The minimal variation observed in the H. curtus venom tested was expected since all the samples tested were collected within metres of each other from a sympatric population and there is no known driver for venom variation in viviparous sea snakes such as ontogenetic or seasonal diet changes [4]. Comparisons of RP-HPLC chromatograms for individuals and pooled samples showed that the venom was in fact remarkably similar. Despite that, one distinct difference emerged: the peak containing a 14,157-Da protein, which was found in some adult January animals. Since it was entirely absent from the subadult animals, which were all milked in June, it is possible that seasonal or ontogenetic variation is responsible for the difference. If June adults contain the protein and June subadults do not, it would be evidence for ontogenetic rather than seasonal variation. However, as the single adult June venom sample did not contain the protein, the question remains open. Because the protein only appears in some adults, a third possibility is that H. curtus has sexual venom variation between adult males and females. There is only a small amount of evidence of sexual venom variation in snakes [30,37,38], and whether that is the case here remains to be investigated. A fourth possibility is that this is merely a case of the individual variability typically found in snake venoms [30]. Whether or not the difference is practically important will depend on how the 14,157-Da protein affects venom activity. The size of the 14,157-Da protein is consistent with PLA2, and nothing other than 3FTx, CRISP or PLA2 was identified in that peak (Table 1). If the protein behaves similarly to other H. curtus PLA2 toxins, the practical effect of the difference may be minimal, in both an ecological and clinical setting. Further research into the reason for the difference and the activity of the protein is required. The variations that were found in MALDI-TOF mass spectrometry, ESI-MS and RP-HPLC results underscore the need to use a large and diverse pool of individuals for antivenom production [36], even in species that typically show little variation such as sea snakes, especially when the effects of the variable proteins on humans are not understood.
3.2. Protein Identification and Relative Abundance Estimations with ProteinPilot and MASCOT
Protein identifications were consistent with previously sequenced H. curtus toxins. Of the 14 toxins previously identified, ProteinPilot consistently matched 10 (as the synonymous Hydrophis hardwickii) (Table 1). A further two, both short-chain neurotoxins (Q8UW26 and Q8UW27), were regularly listed as matches of lower significance or less commonly as equal winner proteins, across all ProteinPilot searches (Supplementary Tables S1–S4). This is likely because both proteins are almost identical to the short-chain neurotoxin that was identified (P68416), with only one amino acid different, and ProteinPilot lacked the identifying peptide required to distinguish between them. A PLA2 (A3FM57) was listed as a match of lower significance once, in Peak 5 of the ProteinPilot search against the UniProtKB database of June venom (Supplementary Table S2). Only the serine protease harobin (Q5MCS0) was not identified at all. Proteins from a number of other snake species were matched, predominantly Australian terrestrial elapids (Table 1, Supplementary Tables S1–S8).
ESI-MS detected molecular weights similar to nine of the 14 known H. curtus toxins, as calculated with the ExPASy pI/Mw calculator from known sequence data (Table 1). Those included all three short-chain neurotoxins, providing further support for their presence. ESI-MS did not detect the long-chain neurotoxins (A3FM53 and Q8UW29) and the C-type lectin (A3FM55) that were identified by ProteinPilot. It also did not detect the PLA2 (A3FM57) or the serine protease harobin (Q5MCS0); nor did ESI-MS detect molecular weights consistent with SVMP or most house-keeping proteins. Possible reasons for the failed detections in protein identification software and ESI-MS could be because the proteins are present only in trace quantities or are absent or different in Australian H. curtus venom compared with the Asian H. curtus specimens usually studied. Additionally, if the protein were identified from venom gland mRNA, as was the case for serine protease harobin (Q5MCS0) [24], it may not be readily expressed in the proteome.
The MASCOT emPAI protocol was employed to calculate the relative abundances of protein families in H. curtus venom. The emPAI score is proportional to the amount of an individual protein present in a mixed sample and has been found to produce equivalent results to protein staining methods [39]. The proteomic characterisation of H. curtus venom by LC-ESI-MS/MS, ProteinPilot and MASCOT confirmed that the protein families 3FTx and PLA2 dominate the venom (Table 1, Supplementary Tables S1–S8), continuing the trend found in all other sea snake venoms studied so far [6,7,8,9]. In H. curtus, PLA2 was the most abundant protein family, contrasting with Hydrophis cyanocinctus, Hydrophis schistosus and Hydrophis platurus, in which 3FTx is dominant [7,8,9]. PLA2 dominance of the venom is a distinction H. curtus shares with only one other sea snake that has been proteomically characterised, the olive sea snake (Aipysurus laevis) [6]. Until the A. laevis venom was characterised, 3FTx appeared to be dominant in the majority of sea snake venoms [7,8,9], even in H. curtus, where a previous investigation indicated that the venom included 43.4% 3FTx and 9.8% PLA2 [28]. However, this study was based on cDNA libraries cloned from venom gland mRNA, and the results might reflect a bias towards 3FTx mRNA in the cDNA method used or indicate that proteins are not translated from mRNA in a directly proportional manner [40].
The apparent dominance of 3FTx in the majority of sea snakes suggests that sea snake venoms should be neurotoxic to humans, as elapid short- and long-chain α-neurotoxins cause respiratory paralysis by binding to skeletal muscle nicotinic acetylcholine receptors (nAChRs) and, in the case of long-chain α-neurotoxins, neuronal α7 nAChR [41]. However, sea snake envenomations in humans are predominantly myotoxic, less often neurotoxic and rarely both [11,42]. It has been suggested that some short-chain sea snake neurotoxins are not as effective on humans due to an amino acid difference in the neuromuscular nAChR [43]. The results of the present study suggest an additional reason for human clinical presentation is interspecific, and possibly intraspecific, variations in the proportions of the two dominant components and, at a finer scale, the proportions of acidic and basic PLA2 components. PLA2 causes the breakdown of skeletal myofilaments [44,45] by inducing cellular degeneration with an influx of Ca2+ ions [46]. Some basic PLA2 toxins are more effective at penetrating the phospholipid bilayer than acidic PLA2 toxins [47,48], suggesting that a venom with a higher proportion of basic PLA2 would be a more effective myotoxin. The presence and proportion of basic and acidic PLA2 unquestionably differs between sea snakes: H. curtus, H. schistosus and H. platurus have both types [8,9], whereas all A. laevis PLA2s appear to be acidic [6]. Therefore, in sea snake envenomations, the effective proportion of either dominant protein family may be entirely different from the actual proportion. It would be useful to conduct an epidemiological study of worldwide sea snake envenomations to see if there is a correlation between the clinical effects of envenomation and the dominant toxin families or their subtypes in the species responsible.
Ecologically, it is unclear why the most dominant protein family alternates between 3FTx and PLA2 in different sea snake species. Nearly all sea snakes are teleost feeders [4], a comparatively limited diet that could result in sea snakes employing similar proportions of toxin families, yet this is not the case. It would be interesting to see if there is a connection between the proportions of toxin families and subtypes that make up the venom and dietary parameters such as size and type, as well as the degree of variation in prey eaten. Notably, there is a greater proportion of short-chain 3FTx and a corresponding decrease in the proportion of acidic PLA2 in the June subadult venom pool compared with the January adult venom pool (Figure 5). As with the 14,157-Da protein, this may indicate seasonal, sexual or ontogenetic variation, but it is hard to know if there is any ecological or clinical significance to this difference without further investigation. It would be worth analysing the venom of neonate H. curtus snakes to see if there is an even more distinct difference with the adult venom pool and/or investigating the lifetime diet of H. curtus to detect any change that might indicate seasonal or ontogenetic changes in venom. It has been suggested that PLA2 in sea snakes has a digestive role [8]. If so, it is possible that adult snakes could require more PLA2 to digest larger prey, whereas for small snakes, the ability to quickly immobilise prey with neurotoxins might be more important. A lower abundance of PLA2 in the venom of juveniles of some other elapid species when compared with the adult venoms has been previously observed, such as the Australian Pseudonaja textilis and Pseudonaja affinis [49] and the Asian Naja atra and Naja kaouthia [50,51]. Together with the findings in the present study, this may indicate a trend across the elapid group.
3.3. Toxin Diversity in H. curtus Venom
Although H. curtus venom was simple by the number of toxins families, it was unexpectedly diverse by the number of unique molecules. The ESI-MS data in Table 1 list a large number of unique molecular weights that did not match any known H. curtus toxin. This contrasts with a study that identified 13 molecular weights in Australian H. curtus venom using LC-ESI-MS [5], compared with 49 for pooled January venom and 44 for pooled June venom in the present study. The discrepancy is likely because the original study was conducted 14 years ago in 2003 when LC-ESI-MS was much less sensitive. Molecular weights consistent with 3FTx, PLA2 and CRISP toxin families were found in both studies, so the number of toxin families in H. curtus venom likely remains the same. However, the strong likelihood is that there are a number of novel isoforms within those families, particularly in PLA2, which makes up 59% of the number of unique molecules for both January and June pools. Furthermore, ProteinPilot identified <35% (at 95% confidence) of total MS/MS spectra in each RP-HPLC peak, and MASCOT was also unable to assign a large number of peptides to a match. This implies that there are proteins in the venom that have no homologs in either the NCBI or UniProtKB Serpentes databases, despite the comprehensive nature of both. Finally, in the protein identification results, there were matches to several toxins from venomous terrestrial elapids, suggesting that some sequences in H. curtus toxins are different from known toxins of any sea snake species. In this regard, a reference genome or a transcriptomic study will help in the identification of novel molecules present in the venom.
The possibility that H. curtus venom is more biochemically complex than currently understood has implications for sea snake antivenom manufacture and development and calls into question the idea that sea snakes possess minimal isoform diversity. Previous studies have shown limited diversity in both the number of families and diversity of isoforms, especially when compared with land snakes [5,6,7,9]. In H. curtus, however, toxin diversity is comparable to some terrestrial elapids such as the African Naja spp., where 3FTx and PLA2 also dominate and toxin numbers range from 22–32 per species [52], and the Australian-Papuan Oxyuranus spp. [53]. The limited diet of sea snakes is hypothesised to require only a minimal suite of toxins [5]. It is possible that H. curtus is an exception to the rule as it is a generalist fish feeder [4] and therefore requires a greater range of toxins to subdue prey. Certainly, the 2003 study [5] found that Australian H. curtus venom had the highest number of toxins of any sea snake tested except for Malaysian H. curtus venom, which had 14. However, in that same study, H. schistosus, which is a cat fish specialist [4], had an equivalent number of toxins to Australian H. curtus venom. This may contradict the hypothesis that H. curtus, as a generalist fish-feeder, possesses more toxin diversity, but further investigation is needed.
An updated LC-ESI-MS analysis of other sea snake venoms would give an indication of the amount of toxin diversity present in individual species and across the entire group, but to completely characterise the diversity of toxins in H. curtus and to verify that molecular weights detected by ESI-MS are proteins with a unique amino acid sequence, sequences need to be confirmed. Determining the extent of toxin diversity in sea snakes is important because if it is greater than currently believed, efforts to develop a new sea snake antivenom based on human monoclonal antibodies or peptide-based inhibitors as previously suggested [6] may be more complex than expected. However, the degree of complexity will also depend on how different the toxins in sea snake venom are, by sequence or activity, and what role they play in a human envenomation.
In conclusion, this study has provided insights into the proteomic composition of H. curtus venom. It also indicated the presence of venom variation, which may be due to sexual, seasonal or ontogenetic differences. We hope that further research will be undertaken to clarify the questions raised about the ecological and clinical implications of our findings.
4. Materials and Methods
4.1. Venom Samples
Hydrophis curtus venom was collected from wild individuals caught at Hey Point, Weipa (12°43203246.6″ S 141°53′34.4″ E) in the Gulf of Carpentaria, Australia, on two separate field trips. The first samples were collected from 11 adult specimens in January 2016. Samples from one adult and 10 subadults were collected in June 2016, where “subadult” is defined as an individual < 400 mm in total length and “adult” is an individual > 600 mm in total length. The sexes of the snakes are unknown. All venom samples were stored in liquid nitrogen during transport, then lyophilised and stored at −80 °C. Approval to collect venom from wild sea snakes was granted by the James Cook University Experimentation Ethics Review Committee under Approval Number A1575, September 2010.
4.2. Pooling Venom Samples
All samples of lyophilised H. curtus venom, except for the single June adult, were resuspended separately in 500 µL of Milli-Q (MQ; Merck Millipore, Bayswater, Victoria, Australia) water and pooled into their respective group, January or June. Thirty microliter of each sample were set aside to test for intraspecific variation. Pooled venom was separated into 100-µL aliquots, lyophilised and stored at −80 °C. Venom was pooled in order to investigate the average venom composition of the population at the respective time point.
4.3. Venom Fractionation and Comparative Profiling with Reversed-Phase HPLC
RP-HPLC was performed on all individual samples and on the January and June pools, which were resuspended in 30 µL of MQ water. Using an Agilent 1260 HPLC (Agilent, Santa Clara, CA, USA), a total of 20 and 25 µL from the individual and pooled samples respectively was injected into a C4 column (Phenomenex Jupiter, 4.6 mm × 250 mm, 5 µm particle diameter, pore size 300 Å) (Phenomenex, Torrance, CA, USA), with a column oven temperature of 35 °C. The sample was eluted using a linear gradient of 0.05% trifluoroacetic acid (TFA; Auspep, Tullamarine, Victoria, Australia) in MQ water (Buffer A) and 90% acetonitrile (ACN; Sigma-Aldrich, St Louis, MO, USA) with 0.045% TFA in MQ water (Buffer B) (0–60% B over 60 min; 60–90% B over 5 min; 90% B for 10 min; and 90–0% B over 5 min) at 1 mL/min. Absorbance was monitored at 214-nm, and fractions for both pooled samples were collected automatically into a 96-well, 1.09-mL deep well plate (Axygen, Union City, CA, USA) in one-minute intervals. ChemStation C.01.03 software (Agilent, Santa Clara, CA, USA) was used to standardise the base lines and calculate peak areas for each chromatogram.
4.4. Venom ‘Fingerprint’ Analysis Using LC-MS
Venom fingerprint analysis of January individuals was performed using RP-HPLC and a SCIEX TOF/TOF™ 5800 MALDI mass spectrometer (SCIEX, Framingham, MA, USA), mixing 0.7 μL of sample with 0.7 μL α-cyano-4-hydroxycinnamic acid (CHCA; Sigma-Aldrich, St. Louis, MO, USA) matrix at 7.5 mg/mL in 50% ACN/0.1% TFA onto an Opti-TOF 384-well plate. Venom fingerprint analysis of the pooled venoms, the June subadult venoms and the single June adult venom was conducted using a Shimadzu LC-MS 2020 single quadrupole mass spectrometer coupled with a Shimadzu Prominence HPLC system (Shimadzu, Kyoto, Japan). Five microliter of each H. curtus sample were separated with a Phenomenex XB-C18 column (Phenomenex Aeris, 2.1 mm × 150 mm, 3.6-µm particle diameter, pore size 100 Å) (Phenomenex, Torrance, CA, USA) at a flow rate of 250 µL/min and using a linear gradient of 0.1% formic acid (FA; Sigma-Aldrich, St. Louis, MO, USA) in MQ water (Buffer A) and 90% ACN (Sigma-Aldrich, St. Louis, MO, USA) with 0.09% FA in MQ water (Buffer B) (0–60% B over 60 min; 60–90% B over 5 min; 90% B for 5 min; and 90–0% B over 5 min). ESI-MS data were collected in profile acquisition mode (positive) over a scan range of 250–2000 m/z. Molecular weights were reconstructed from ion series using the ‘multi-charged ion analysis’ module of the Shimadzu LabSolutions software (Version 5.80) (Shimadzu, Kyoto, Japan).
4.5. In-Solution Trypsin Digestion
Fractions in the pooled samples corresponding to RP-HPLC peaks were lyophilised and reconstituted in 10 µL of 55 mM ammonium bicarbonate, vortexed for 10 s and centrifuged for 2 min at 16,000× g (5415D Eppendorf centrifuge). Where a peak comprised more than one fraction, these were combined. Samples were reduced with 2 mM 1,4-dithiothreitol (DTT; Roche, Basel, Switzerland) for 20 min at 65 °C, then alkylated (5.5 mM iodoacetamide; Sigma-Aldrich, St. Louis, MO, USA) for 30 min in darkness. An additional 10 mM DTT was added to samples, which were incubated for 30 min then digested overnight in proteomics-grade trypsin (Sigma-Aldrich, St. Louis, MO, USA) at 37 °C and quenched with 5% FA.
4.6. LC-ESI-MS/MS Tandem Mass Spectrometry
Tryptic digest samples were desalted with Millipore ZipTip® C18 resin pipette tips (Millipore, Burlington, MA, USA) according to the manufacturer’s protocol, lyophilised and analysed in an Eksigent NanoLC Ultra (Eksigent, Framingham MA, USA) coupled with a SCIEX TripleTOF 5600 fitted with a NanoSpray III source (both SCIEX, Framingham, MA, USA). A total of 5 µL of each sample was injected into a C18 trap column (Eksigent ChromXP C18CL, 10 mm × 0.3 mm, 5-µm particle diameter, pore size 120 Å) (Eksigent, Framingham, MA, USA), desalted at 3 μL/min for 15 min with 100% Buffer A (0.1% FA) and separated in a C18 analytical column (Eksigent ChromXP C18CL, 0.075 mm × 150 mm, 3 µm particle diameter, pore size 120 Å) (Eksigent, Framingham, MA, USA) using a flow rate of 250 nL/min and a gradient of Buffer B (0.1% FA in ACN) as follows: 5–10% for 2 min; 10–40% over 58 min; 40–50% for 5 min; 50–95% for 10 min; 95% for 15 min; 95–5% for 4 min; and 5% for 6 min. MS data were acquired in positive TOF-MS mode using a scan range of 300–2000 Da with an accumulation time of 250 ms. Information-dependent acquisition was used to select precursor ions for MS/MS analysis with a charge state of 2+–5+ exceeding 50 counts per second. MS/MS data were acquired in positive product ion mode (high sensitivity), employing a scan range of 100–2000 Da. Both MS and MS/MS data were acquired with an ion spray voltage of 2.4 kV, a curtain gas flow of 25 psi, a nebulising gas flow of 5 psi, an interface heater temperature of 150 °C and a declustering potential of 80 V.
4.7. Protein Identification with ProteinPilot and MASCOT
MS/MS spectra from both pooled venoms were searched against the non-redundant NCBI Serpentes database (taxid: 8570) [54] and the UniProtKB Serpentes database [55]. The searches were conducted using ProteinPilot 4.0 with the Paragon algorithm (SCIEX, Framingham, MA, USA) and the MASCOT server accessed via MASCOT Daemon 2.5.1 (Matrix-Science, London, UK). ProteinPilot searches were conducted with a thorough search effort and a false discovery rate (FDR) analysis at ≥95% confidence, and matches were accepted only if the number of significant unique sequences ≥2. MASCOT search parameters allowed up to two missed trypsin cleavages, a 50-ppm peptide tolerance and a ±0.1-Da MS/MS tolerance. Carbamidomethylation of cysteine was set as a fixed modification and oxidation of methionine and deamidation of asparagine and glutamine as variable modifications. The FDR for peptide spectrum matches above homology was set to ≤1% and the number of significant unique sequences to ≥2.
4.8. Relative Protein Abundance Estimations
The MASCOT exponentially-modified protein abundance index, or emPAI protocol (Matrix-Science, London, UK), was employed to estimate the relative abundance of proteins in H. curtus venom by protein family. For each peak identified by RP-HPLC, the emPAI score of each matched protein was converted to a percentage of the total sum of the emPAI scores in the peak. The percentage each protein contributed to the peak area was calculated accordingly using the peak area from RP-HPLC chromatograms. Percentages were then added by protein family to compute the relative abundance of each family in the venom. Typical contaminants such as trypsin and keratin were removed.
4.9. Calculating Molecular Weights from Existing H. curtus Sequences
The ExPASy “compute pI/Mw” tool (Swiss Institute of Bioinformatics, available online: web.expasy.org/compute_pi) was used to calculate the theoretical average molecular weight of amino acid sequences from proteomic and transcriptomic data found in the UniProtKB database [56]. The molecular weight was calculated from the chain sequence, excluding signal peptides and propeptides. Two mass units were subtracted from the calculated reduced peptide mass for every disulfide bond to obtain the oxidised peptide mass.
Acknowledgments
The authors would like to acknowledge the Australian Institute of Tropical Health and Medicine (AITHM) for providing the equipment used for part of this study, including the Shimadzu LC-ESI-MS system and Agilent RP-HPLC. We also thank Sarah Reed and Buddhika Jayakody of the University of Queensland Centre for Clinical Research (UQCCR) for providing LC-ESI-MS/MS services and Robert Courtney for assisting with venom collection. This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.
Abbreviations
3FTx | Three-Finger Toxin |
ACN | Acetonitrile |
CRISP | Cysteine-Rich Secretory Protein |
CTL | C-Type Lectin |
Cys | Cystatin |
DTT | 1,4-Dithiothreitol |
ECM1 | Extra-Cellular Matrix Protein |
FA | Formic Acid |
FDR | False Discovery Rate |
Hsp70 | Heat Shock Protein |
LC-ESI-MS | Liquid Chromatography Electrospray Ionisation Mass Spectrometry |
MALDI-TOF | Matrix-Assisted Laser Desorption Ionisation-Time of Flight |
MQ | Milli-Q |
nAChR | Nicotinic Acetylcholine Receptor |
Nucleo | Nucleobindin |
PC1A | Peptidase C1A |
PEBP | Phosphatidylethanolamine-Binding Protein |
PLA2 | Phospholipase A2 |
RNase T2 | Ribonuclease T2 |
RP-HPLC | Reversed-Phase High-Performance Liquid Chromatography |
SVMP | Snake Venom Metalloproteinase |
SVSP | Snake Venom Serine Protease |
TFA | Trifluoroacetic Acid |
Trans | Transferrin |
Supplementary Materials
Supplementary materials can be found at www.mdpi.com/1422-0067/18/12/2695/s1.
Author Contributions
Vanessa Neale and David Wilson designed the LC-MS experiments to measure variation and toxin diversity. Javier Sotillo advised on protein identification and emPAI quantification. Vanessa Neale carried out all experiments and data analysis including protein identification. Vanessa Neale wrote the paper. David Wilson, Javier Sotillo and Jamie E. Seymour all contributed to manuscript revision. Jamie E. Seymour collected H. curtus venom samples.
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.Sanders K.L., Lee M.S.Y., Mumpuni, Bertozzi T., Rasmussen A.R. Multilocus phylogeny and recent rapid radiation of the viviparous sea snakes (Elapidae: Hydrophiinae) Mol. Phylogenet. Evol. 2013;66:575–591. doi: 10.1016/j.ympev.2012.09.021. [DOI] [PubMed] [Google Scholar]
- 2.Rasmussen A.R., Murphy J.C., Ompi M., Gibbons J.W., Uetz P. Marine reptiles. PLoS ONE. 2011;6:e27373. doi: 10.1371/journal.pone.0027373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.White J. Clinical toxicology of sea snakebites. In: Meier J., White J., editors. Handbook of Clinical Toxicology of Animal Venoms and Poisons. CRC Press; Boca Raton, FL, USA: 1995. pp. 159–170. [Google Scholar]
- 4.Voris H.K., Voris H.H. Feeding strategies in marine snakes: An analysis of evolutionary, morphological, behavioral and ecological relationships. Am. Zool. 1983;23:411–425. doi: 10.1093/icb/23.2.411. [DOI] [Google Scholar]
- 5.Fry B.G., Wüster W., Ryan Ramjan S.F., Jackson T., Martelli P., Kini R.M. Analysis of Colubroidea snake venoms by liquid chromatography with mass spectrometry: Evolutionary and toxinological implications. Rapid Commun. Mass Spectrom. 2003;17:2047–2062. doi: 10.1002/rcm.1148. [DOI] [PubMed] [Google Scholar]
- 6.Laustsen A.H., Gutiérrez J.M., Rasmussen A.R., Engmark M., Gravlund P., Sanders K.L., Lohse B., Lomonte B. Danger in the reef: Proteome, toxicity, and neutralization of the venom of the olive sea snake, Aipysurus laevis. Toxicon. 2015;107:187–196. doi: 10.1016/j.toxicon.2015.07.008. [DOI] [PubMed] [Google Scholar]
- 7.Calvete J.J., Ghezellou P., Paiva O., Matainaho T., Ghassempour A., Goudarzi H., Kraus F., Sanz L., Williams D.J. Snake venomics of two poorly known Hydrophiinae: Comparative proteomics of the venoms of terrestrial Toxicocalamus longissimus and marine Hydrophis cyanocinctus. J. Proteom. 2012;75:4091–4101. doi: 10.1016/j.jprot.2012.05.026. [DOI] [PubMed] [Google Scholar]
- 8.Lomonte B., Pla D., Sasa M., Tsai W.C., Solórzano A., Ureña-Díaz J.M., Fernández-Montes M.L., Mora-Obando D., Sanz L., Gutiérrez J.M., et al. Two color morphs of the pelagic yellow-bellied sea snake, Pelamis platura, from different locations of Costa Rica: Snake venomics, toxicity, and neutralization by antivenom. J. Proteom. 2014;103:137–152. doi: 10.1016/j.jprot.2014.03.034. [DOI] [PubMed] [Google Scholar]
- 9.Tan C.H., Tan K.Y., Lim S.E., Tan N.H. Venomics of the beaked sea snake, Hydrophis schistosus: A minimalist toxin arsenal and its cross-neutralization by heterologous antivenoms. J. Proteom. 2015;126:121–130. doi: 10.1016/j.jprot.2015.05.035. [DOI] [PubMed] [Google Scholar]
- 10.Dunson W.A. Adaptations of sea snakes. In: Dunson W.A., editor. Biology of Sea Snakes. University Park Press; Baltimore, MD, USA: 1975. pp. 3–19. [Google Scholar]
- 11.Reid H.A. Myoglobinuria and sea-snake-bite poisoning. Br. Med. J. 1961;1:1284–1289. doi: 10.1136/bmj.1.5235.1284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Reid H.A. Epidemiology and clinical aspects of sea snake bites. In: Dunson W.A., editor. Biology of Sea Snakes. University Park Press; Baltimore, MD, USA: 1975. pp. 417–462. [Google Scholar]
- 13.Tu A.T. Sea snake venoms and neurotoxins. J. Agric. Food Chem. 1974;22:36–43. doi: 10.1021/jf60191a034. [DOI] [PubMed] [Google Scholar]
- 14.Ukuwela K.D.B., Silva A., Mumpuni, Fry B.G., Sanders K.L. Multilocus phylogeography of the sea snake Hydrophis curtus reveals historical vicariance and cryptic lineage diversity. Zool. Scr. 2014;43:472–484. doi: 10.1111/zsc.12070. [DOI] [Google Scholar]
- 15.Warrell D.A. Sea snake bites in the Asia-Pacific region. In: Gopalakrishnakone P., editor. Sea Snake Toxinology. Singapore University Press; Singapore: 1994. pp. 1–37. [Google Scholar]
- 16.Vijayaraghavan B., Ganesh S.R. Venomous snakes and snakebites in India. In: Faiz A., Fernando R., Gnanathasan C.A., Habib A.G., Yang C.-C., editors. Clinical Toxinology in Asia Pacific and Africa. Springer Science + Business Media; Dordrecht, The Netherlands: 2015. [Google Scholar]
- 17.Cogger H.G. Reptiles and Amphibians of Australia. 7th ed. CSIRO Publishing; Collingwood, Australia: 2014. [Google Scholar]
- 18.Heatwole H. Attacks by sea snakes on divers. In: Dunson W.A., editor. Biology of Sea Snakes. University Park Press; Baltimore, MD, USA: 1975. pp. 503–516. [Google Scholar]
- 19.Tan T., Xiang X., Qu H., Zhu S., Bi Q. The study on venom proteins of Lapemis hardwickii by cDNA phage display. Toxicol. Lett. 2011;206:252–257. doi: 10.1016/j.toxlet.2011.05.1028. [DOI] [PubMed] [Google Scholar]
- 20.Yang W.L., Wei J.W., Zhong X.F., Zhao G.J., Peng L.S., Wu W.Y., Xu A.L. Diversity of PLA2 genes from sea snake Lapemis hardwickii Gray venom. Sheng Wu Hua Xue Yu Sheng Wu Wu Li Xue Bao (Shanghai) 2001;33:345–350. [PubMed] [Google Scholar]
- 21.Fox J., Tu A.T. Conformational analysis of a snake neurotoxin by prediction from sequence, circular dichroism, and Raman spectroscopy. Arch. Biochem. Biophys. 1979;193:407–414. doi: 10.1016/0003-9861(79)90047-X. [DOI] [PubMed] [Google Scholar]
- 22.Zhong X.F., Peng L.S., Wu W.Y., Wei J.W., Yang H., Yang Y.Z., Xu A.L. Identification and functional characterization of three postsynaptic short-chain neurotoxins from Hydrophiinae, Lapemis hardwickii Gray. Sheng Wu Hua Xue Yu Sheng Wu Wu Li Xue Bao. 2001;33:457–462. [PubMed] [Google Scholar]
- 23.Wei J.W., Zhong X.F., Peng L.S., Wu W.Y., Xu A.L. Cloning and sequence analysis of full-length cDNA encoding cysteine-rich venom protein from Lapemis hardwickii. Acta Sci. Nat. Univ. Sunyatseni. 2001;40:5–8. [Google Scholar]
- 24.He J., Chen S., Gu J. Identification and characterization of Harobin, a novel fibrino(geno)lytic serine protease from a sea snake (Lapemis hardwickii) FEBS Lett. 2007;581:2965–2973. doi: 10.1016/j.febslet.2007.05.047. [DOI] [PubMed] [Google Scholar]
- 25.Chetty N., Du A., Hodgson W.C., Winkel K., Fry B.G. The in vitro neuromuscular activity of Indo-Pacific sea-snake venoms: Efficacy of two commercially available antivenoms. Toxicon. 2004;44:193–200. doi: 10.1016/j.toxicon.2004.05.022. [DOI] [PubMed] [Google Scholar]
- 26.Karthikeyan R., Karthigayan S., Balasubashini M.S., Vijayalakshmi S., Balasubramanian T. Histopathological changes induced in mice after intramuscular and intraperitoneal injections of venom from spine-bellied sea snake, Lapemis curtus (Shaw, 1802) J. Pharmacol. Toxicol. 2007;2:307–318. [Google Scholar]
- 27.Tan N.-H., Ponnudurai G. A comparative study of the biological properties of some sea snake venoms. Comp. Biochem. Physiol. 1991;99:351–354. doi: 10.1016/0305-0491(91)90054-H. [DOI] [PubMed] [Google Scholar]
- 28.Pahari S., Bickford D., Fry B.G., Kini R.M. Expression pattern of three-finger toxin and phospholipase A2 genes in the venom glands of two sea snakes, Lapemis curtus and Acalyptophis peronii: Comparison of evolution of these toxins in land snakes, sea kraits and sea snakes. BMC Evol. Biol. 2007;7:175–183. doi: 10.1186/1471-2148-7-175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Calvete J.J. Proteomic tools against the neglected pathology of snake bite envenoming. Expert Rev. Proteom. 2011;8:739–758. doi: 10.1586/epr.11.61. [DOI] [PubMed] [Google Scholar]
- 30.Chippaux J.-P., Williams V., White J. Snake venom variability: Methods of study, results and interpretation. Toxicon. 1991;29:1279–1303. doi: 10.1016/0041-0101(91)90116-9. [DOI] [PubMed] [Google Scholar]
- 31.Alape-Girón A., Sanz L., Escolano J., Flores-Díaz M., Madrigal M., Sasa M., Calvete J.J. Snake venomics of the lancehead pitviper Bothrops asper: Geographic, individual, and ontogenetic variations. J. Proteome Res. 2008;7:3556–3571. doi: 10.1021/pr800332p. [DOI] [PubMed] [Google Scholar]
- 32.Furtado M.F.D., Maruyama M., Kamiguti A.S., Antonio L.C. Comparative study of nine Bothrops snake venoms from adult female snakes and their offspring. Toxicon. 1991;29:219–226. doi: 10.1016/0041-0101(91)90106-2. [DOI] [PubMed] [Google Scholar]
- 33.Mackessy S.P. Venom ontogeny in the Pacific rattlesnakes Crotalus viridis helleri and C. v. oreganus. Copeia. 1988;1988:92–101. doi: 10.2307/1445927. [DOI] [Google Scholar]
- 34.Zelanis A., Tashima A.K., Pinto A.F.M., Paes Leme A.F., Stuginski D.R., Furtado M.F., Sherman N.E., Ho P.L., Fox J.W., Serrano S.M.T. Bothrops jararaca venom proteome rearrangement upon neonate to adult transition. Proteomics. 2011;11:4218–4228. doi: 10.1002/pmic.201100287. [DOI] [PubMed] [Google Scholar]
- 35.Lomonte B., Fernandez J., Sanz L., Angulo Y., Sasa M., Gutiérrez J.M., Calvete J.J. Venomous snakes of Costa Rica: Biological and medical implications of their venom proteomic profiles analyzed through the strategy of snake venomics. J. Proteom. 2014;105:323–339. doi: 10.1016/j.jprot.2014.02.020. [DOI] [PubMed] [Google Scholar]
- 36.World Health Organization . WHO Guidelines for the Production, Control and Regulation of Snake Antivenom Immunoglobulins. World Health Organization; Geneva, Switzerland: 2010. [Google Scholar]
- 37.Menezes M.C., Furtado M.F., Travaglia-Cardoso S.R., Camargo A.C.M., Serrano S.M.T. Sex-based individual variation of snake venom proteome among eighteen Bothrops jararaca siblings. Toxicon. 2006;47:304–312. doi: 10.1016/j.toxicon.2005.11.007. [DOI] [PubMed] [Google Scholar]
- 38.Pimenta D.C., Prezoto B.C., Konno K., Melo R.L., Furtado M.F., Camargo A.C.M., Serrano S.M.T. Mass spectrometric analysis of the individual variability of Bothrops jararaca venom peptide fraction. Evidence for sex-based variation among the bradykinin-potentiating peptides. Rapid Commun. Mass Spectrom. 2007;21:1034–1042. doi: 10.1002/rcm.2931. [DOI] [PubMed] [Google Scholar]
- 39.Ishihama Y., Oda Y., Tabata T., Sato T., Nagasu T., Rappsilber J., Mann M. Exponentially modified protein abundance index (emPAI) for estimation of absolute protein amount in proteomics by the number of sequenced peptides per protein. Mol. Cell. Proteom. 2005;4:1265–1272. doi: 10.1074/mcp.M500061-MCP200. [DOI] [PubMed] [Google Scholar]
- 40.Smith J.J., Alewood P.F. Modern venom profiling: Mining into scorpion venom biodiversity. In: Possani L.D., Schwartz E.F., Rodríguez de la Vega R.C., editors. Scorpion Venoms. Springer; Dordrecht, The Netherlands: 2015. pp. 547–561. [Google Scholar]
- 41.Barber C.M., Isbister G.K., Hodgson W.C. Alpha neurotoxins. Toxicon. 2013;66:47–58. doi: 10.1016/j.toxicon.2013.01.019. [DOI] [PubMed] [Google Scholar]
- 42.White J. A Clinician’s Guide to Australian Venomous Bites and Stings: Incorporating the Updated CSL Antivenom Handbook. bioCSL; Parkville, Australia: 2013. [Google Scholar]
- 43.Harris J.B. Snake venoms in science and clinical medicine 3. Neuropharmacological aspects of the activity of snake venoms. Trans. R. Soc. Trop. Med. Hyg. 1989;83:745–747. doi: 10.1016/0035-9203(89)90313-1. [DOI] [PubMed] [Google Scholar]
- 44.Brook G.A., Torres L.F., Gopalakrishnakone P., Duchen L.W. Effects of phospholipase of Enhydrina schistosa venom on nerve, motor end-plate and muscle of the mouse. Q. J. Exp. Physiol. 1987;72:571–591. doi: 10.1113/expphysiol.1987.sp003098. [DOI] [PubMed] [Google Scholar]
- 45.Geh S.L., Toh H.T. Ultrastructural changes in skeletal muscle caused by a phospholipase A2 fraction isolated from the venom of a sea snake, Enhydrina schistosa. Toxicon. 1978;16:633–643. doi: 10.1016/0041-0101(78)90191-5. [DOI] [PubMed] [Google Scholar]
- 46.Montecucco C., Gutiérrez J.M., Lomonte B. Cellular pathology induced by snake venom phospholipase A2 myotoxins and neurotoxins: Common aspects of their mechanisms of action. Cell. Mol. Life Sci. 2008;65:2897–2912. doi: 10.1007/s00018-008-8113-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Verheij H.M., Boffa M.C., Rothen C., Bryckaert M.C., Verger R., de Haas G.H. Correlation of enzymatic activity and anticoagulant properties of phospholipase A2. Eur. J. Biochem. 1980;112:25–32. doi: 10.1111/j.1432-1033.1980.tb04982.x. [DOI] [PubMed] [Google Scholar]
- 48.Fernández J., Gutiérrez J.M., Angulo Y., Sanz L., Juárez P., Calvete J.J., Lomonte B. Isolation of an acidic phospholipase A2 from the venom of the snake Bothrops asper of Costa Rica: Biochemical and toxicological characterization. Biochimie. 2010;92:273–283. doi: 10.1016/j.biochi.2009.12.006. [DOI] [PubMed] [Google Scholar]
- 49.Jackson T., Koludarov I., Ali S., Dobson J., Zdenek C., Dashevsky D., op den Brouw B., Masci P., Nouwens A., Josh P., et al. Rapid radiations and the race to redundancy: An investigation of the evolution of Australian elapid snake venoms. Toxins. 2016;8:309. doi: 10.3390/toxins8110309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.He Y., Gao J.-F., Lin L., Ma X., Ji X. Age-related variation in snake venom: Evidence from two snakes (Naja atra and Deinagkistrodon acutus) in Southeastern China. Asian Herpetol. Res. 2014;5:119–127. [Google Scholar]
- 51.Modahl C.M., Mukherjee A.K., Mackessy S.P. An analysis of venom ontogeny and prey-specific toxicity in the monocled cobra (Naja kaouthia) Toxicon. 2016;119:8–20. doi: 10.1016/j.toxicon.2016.04.049. [DOI] [PubMed] [Google Scholar]
- 52.Petras D., Sanz L., Segura A., Herrera M., Villalta M., Solano D., Vargas M., León G., Warrell D.A., Theakston R.D.G., et al. Snake venomics of African spitting cobras: Toxin composition and assessment of congeneric cross-reactivity of the pan-African EchiTAb-Plus-ICP antivenom by antivenomics and neutralization approaches. J. Proteome Res. 2011;10:1266–1280. doi: 10.1021/pr101040f. [DOI] [PubMed] [Google Scholar]
- 53.Herrera M., Fernández J., Vargas M., Villalta M., Segura Á., León G., Angulo Y., Paiva O., Matainaho T., Jensen S.D., et al. Comparative proteomic analysis of the venom of the taipan snake, Oxyuranus scutellatus, from Papua New Guinea and Australia: Role of neurotoxic and procoagulant effects in venom toxicity. J. Proteom. 2012;75:2128–2140. doi: 10.1016/j.jprot.2012.01.006. [DOI] [PubMed] [Google Scholar]
- 54.NCBI Non-Redundant Serpentes Database. [(accessed on 9 March 2017)]; Available online: https://www.ncbi.nlm.nih.gov/protein/?term=serpentes.
- 55.UniProtKB Serpentes Database. [(accessed on 9 March 2017)]; Available online: http://www.uniprot.org/uniprot/?query=Serpentes&sort=score.
- 56.UniProtKB Database. [(accessed on 3 November 2017)]; Available online: http://www.uniprot.org. search term ‘Lapemis hardwickii’.
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