1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:12,180 --> 00:00:09,500 [Applause] 3 00:00:15,090 --> 00:00:12,190 absolutely fantastic system and it 4 00:00:18,359 --> 00:00:15,100 really lets us get some clues about 5 00:00:19,530 --> 00:00:18,369 evolution before Luca but I'd just like 6 00:00:22,080 --> 00:00:19,540 to let you know it's not the only game 7 00:00:24,420 --> 00:00:22,090 in town there are there RNAs that we can 8 00:00:26,370 --> 00:00:24,430 look at that were present in Luca not 9 00:00:29,279 --> 00:00:26,380 very many but one of them is is a 10 00:00:31,350 --> 00:00:29,289 nucleus and for those of you who know a 11 00:00:32,970 --> 00:00:31,360 lot about RNA you priority guess that 12 00:00:36,390 --> 00:00:32,980 I'm talking about ribonuclease P 13 00:00:38,400 --> 00:00:36,400 ribonuclease P is a nearly universal 14 00:00:40,080 --> 00:00:38,410 ribozyme as say there are a few 15 00:00:41,310 --> 00:00:40,090 organisms scattered here and there 16 00:00:43,740 --> 00:00:41,320 around the tree of life that have 17 00:00:45,840 --> 00:00:43,750 dispensed with the RNA component of RNA 18 00:00:50,400 --> 00:00:45,850 SP but by and large pretty much 19 00:00:53,490 --> 00:00:50,410 everything uses an rnase p RNA to 20 00:00:56,970 --> 00:00:53,500 process transfer RNAs so the main thing 21 00:00:58,470 --> 00:00:56,980 RNA HP does is it takes a pre T RNA cuts 22 00:01:00,780 --> 00:00:58,480 off sequence from the five prime end and 23 00:01:02,610 --> 00:01:00,790 gives you a maturity RNA they can go on 24 00:01:05,670 --> 00:01:02,620 and do its job with the ribosome and 25 00:01:09,859 --> 00:01:05,680 make proteins okay alright so that's 26 00:01:12,090 --> 00:01:09,869 what it does as I said it is present in 27 00:01:13,560 --> 00:01:12,100 all three domains of life here are 28 00:01:17,100 --> 00:01:13,570 examples from bacteria archaea and 29 00:01:19,740 --> 00:01:17,110 eukaryotes and as you can see they all 30 00:01:21,030 --> 00:01:19,750 have they have different secondary 31 00:01:23,100 --> 00:01:21,040 structures but there are certain 32 00:01:24,929 --> 00:01:23,110 elements that are shared between all 33 00:01:26,640 --> 00:01:24,939 three of them and so they have certain 34 00:01:28,020 --> 00:01:26,650 sequence elements in common they have 35 00:01:30,780 --> 00:01:28,030 certain structural elements in common 36 00:01:33,149 --> 00:01:30,790 and they're they're widely dispersed 37 00:01:36,690 --> 00:01:33,159 across all three domains so it's quite 38 00:01:39,030 --> 00:01:36,700 clear that this was present in Luca and 39 00:01:40,770 --> 00:01:39,040 in fact one other interest thinking 40 00:01:43,440 --> 00:01:40,780 about RNA SP is that it's a ribozyme 41 00:01:47,730 --> 00:01:43,450 which there are you know not that many 42 00:01:50,340 --> 00:01:47,740 of and it's it's true in biology RNA SP 43 00:01:53,100 --> 00:01:50,350 has always has at least one protein 44 00:01:55,520 --> 00:01:53,110 component but it's not necessary for 45 00:01:57,630 --> 00:01:55,530 catalysis so this is a ribozyme and 46 00:01:59,940 --> 00:01:57,640 because it doesn't mean it's protein and 47 00:02:02,999 --> 00:01:59,950 it's universally conserved and it was in 48 00:02:04,649 --> 00:02:03,009 Luke I like to point out that I wouldn't 49 00:02:06,810 --> 00:02:04,659 say that RNA SP is older than ribosome 50 00:02:09,180 --> 00:02:06,820 but it is something that could be older 51 00:02:11,460 --> 00:02:09,190 than the ribosome and it's not possibly 52 00:02:13,229 --> 00:02:11,470 the only other system where we could 53 00:02:15,210 --> 00:02:13,239 have a to follow a continuous 54 00:02:19,470 --> 00:02:15,220 evolutionary track from before the 55 00:02:22,080 --> 00:02:19,480 ribosome so now okay so it's pretty cool 56 00:02:22,480 --> 00:02:22,090 we should learn more about it so they're 57 00:02:25,150 --> 00:02:22,490 a bunch of 58 00:02:27,220 --> 00:02:25,160 and last session about the accretion 59 00:02:29,800 --> 00:02:27,230 model so I'm going to tune in details 60 00:02:32,310 --> 00:02:29,810 but some model developed by my largely 61 00:02:36,370 --> 00:02:32,320 by my collaborators at Georgia Tech and 62 00:02:38,860 --> 00:02:36,380 it explains ribosome evolution and I 63 00:02:41,620 --> 00:02:38,870 just there are sort of three key 64 00:02:43,240 --> 00:02:41,630 features as far as I can tell from from 65 00:02:45,670 --> 00:02:43,250 you know talking to them and reading 66 00:02:47,460 --> 00:02:45,680 their papers and that is that one of the 67 00:02:51,460 --> 00:02:47,470 key features of this model is that 68 00:02:53,920 --> 00:02:51,470 structural RNA is if you look at an RNA 69 00:02:57,340 --> 00:02:53,930 structure you can see a record of where 70 00:02:58,540 --> 00:02:57,350 elements were inserted into it that if 71 00:03:00,310 --> 00:02:58,550 you look at a three-dimensional 72 00:03:02,080 --> 00:03:00,320 structure you can also get information 73 00:03:06,550 --> 00:03:02,090 about the order in which elements were 74 00:03:09,730 --> 00:03:06,560 added and that these RNAs generally grow 75 00:03:13,630 --> 00:03:09,740 from a common core and so that's the 76 00:03:17,020 --> 00:03:13,640 model with the ribosome so why not apply 77 00:03:18,310 --> 00:03:17,030 to RNA SP the this model relies on 78 00:03:20,380 --> 00:03:18,320 three-dimensional structures from 79 00:03:22,600 --> 00:03:20,390 different domains of life and now for 80 00:03:25,480 --> 00:03:22,610 RNA SP as of about a week ago we have 81 00:03:28,870 --> 00:03:25,490 bacterial eukaryote and this just came 82 00:03:31,600 --> 00:03:28,880 out our kale rnase p structure and so we 83 00:03:32,860 --> 00:03:31,610 have a high-resolution three-dimensional 84 00:03:35,950 --> 00:03:32,870 structural information for all three 85 00:03:37,330 --> 00:03:35,960 domains of life and so I just want to go 86 00:03:39,220 --> 00:03:37,340 through a couple of examples of some of 87 00:03:42,070 --> 00:03:39,230 the the features the accretion model as 88 00:03:44,050 --> 00:03:42,080 they show up in RNA speak so this is P 89 00:03:47,140 --> 00:03:44,060 18 and it's one of the one of the HeLa 90 00:03:49,780 --> 00:03:47,150 C's in RNA SP from from bacterial 91 00:03:51,430 --> 00:03:49,790 structure and what I'm showing is what 92 00:03:53,860 --> 00:03:51,440 we consider an insertion site that is a 93 00:03:56,740 --> 00:03:53,870 site where it looks like you could have 94 00:03:58,750 --> 00:03:56,750 put an element into the RNA structure 95 00:04:00,070 --> 00:03:58,760 without disrupting the rest of the 96 00:04:02,230 --> 00:04:00,080 structure and that is to say this this 97 00:04:03,910 --> 00:04:02,240 part that's shown in cyan we think was 98 00:04:06,940 --> 00:04:03,920 dropped into the part that's shown in 99 00:04:08,410 --> 00:04:06,950 blue and and you might think okay yeah 100 00:04:10,540 --> 00:04:08,420 well the backbone it just it comes 101 00:04:11,740 --> 00:04:10,550 together just because the backbone is 102 00:04:13,390 --> 00:04:11,750 coming close together doesn't mean that 103 00:04:15,190 --> 00:04:13,400 it used to be connected but if we 104 00:04:18,130 --> 00:04:15,200 overlay it with the RK lar an ASP 105 00:04:19,810 --> 00:04:18,140 structure then we see that you know you 106 00:04:22,120 --> 00:04:19,820 basically have the same structure - this 107 00:04:24,370 --> 00:04:22,130 p 18 and of course the other thing about 108 00:04:25,750 --> 00:04:24,380 that it there are other reasons we kind 109 00:04:28,090 --> 00:04:25,760 of know this element is probably a later 110 00:04:30,490 --> 00:04:28,100 edition it's not in eukaryotes or 111 00:04:32,510 --> 00:04:30,500 archaea and it's not even known all in 112 00:04:34,129 --> 00:04:32,520 all bacteria so 113 00:04:35,839 --> 00:04:34,139 but at any rate we can see some of those 114 00:04:37,820 --> 00:04:35,849 features in RNA SP like we see in the 115 00:04:39,529 --> 00:04:37,830 ribosome another thing that we've seen 116 00:04:41,210 --> 00:04:39,539 the ribosome a lot of are these a minor 117 00:04:43,839 --> 00:04:41,220 interactions they're also present in RNA 118 00:04:46,309 --> 00:04:43,849 SP and so what's going on there is that 119 00:04:47,839 --> 00:04:46,319 if you look you can see in blue we have 120 00:04:49,610 --> 00:04:47,849 a double-stranded RNA that 121 00:04:51,260 --> 00:04:49,620 double-stranded RNA can form on its own 122 00:04:53,629 --> 00:04:51,270 it doesn't need the part that's shown in 123 00:04:54,860 --> 00:04:53,639 cyan and in green okay the part that's 124 00:04:56,450 --> 00:04:54,870 shown in green these are a couple of 125 00:04:57,320 --> 00:04:56,460 Dennis teens that are looped out and 126 00:04:58,790 --> 00:04:57,330 they're interacting with the minor 127 00:05:00,920 --> 00:04:58,800 groove of the double-stranded RNA that 128 00:05:02,900 --> 00:05:00,930 structure will not form if the 129 00:05:05,570 --> 00:05:02,910 double-stranded RNA is not there and so 130 00:05:06,890 --> 00:05:05,580 the thinking is that the independent 131 00:05:08,839 --> 00:05:06,900 structure is older than the dependent 132 00:05:10,820 --> 00:05:08,849 structure okay so we have those two 133 00:05:12,920 --> 00:05:10,830 elements we can find insertion sites and 134 00:05:15,770 --> 00:05:12,930 we can you know establish chronology 135 00:05:17,420 --> 00:05:15,780 based on three-dimensional structure so 136 00:05:20,719 --> 00:05:17,430 then if we go on from there and we kind 137 00:05:24,170 --> 00:05:20,729 of build up the structure from a single 138 00:05:26,360 --> 00:05:24,180 core we can kind of have a model of how 139 00:05:27,800 --> 00:05:26,370 our NASPE vault and so what I'm showing 140 00:05:35,210 --> 00:05:27,810 here is RNAs P substrate 141 00:05:37,370 --> 00:05:35,220 it's a tRNA alright so basically this 142 00:05:38,629 --> 00:05:37,380 part right here kind of shown in gray is 143 00:05:39,980 --> 00:05:38,639 the piece that's going to get cut off 144 00:05:41,529 --> 00:05:39,990 there are a couple of metals at the 145 00:05:44,300 --> 00:05:41,539 active site where the cleavage happens 146 00:05:47,810 --> 00:05:44,310 and and we'll just kind of walk through 147 00:05:49,430 --> 00:05:47,820 the evolution of RNA SP so we start to 148 00:05:52,219 --> 00:05:49,440 have a you know different chunks get 149 00:05:55,310 --> 00:05:52,229 added on after the first four pieces are 150 00:05:57,080 --> 00:05:55,320 added we have basically a step we 151 00:05:59,749 --> 00:05:57,090 basically have everything you you you 152 00:06:04,070 --> 00:05:59,759 should need for catalysis and then as 153 00:06:06,379 --> 00:06:04,080 you continue on in the model with you 154 00:06:08,510 --> 00:06:06,389 know through time you add on additional 155 00:06:10,580 --> 00:06:08,520 elements that recognize larger and 156 00:06:12,050 --> 00:06:10,590 larger portions of the tRNA and also 157 00:06:15,200 --> 00:06:12,060 help to stabilize some of the structure 158 00:06:16,700 --> 00:06:15,210 and then we can go beyond Luca with this 159 00:06:18,649 --> 00:06:16,710 particular structure there are a couple 160 00:06:21,350 --> 00:06:18,659 of additional elements that are you know 161 00:06:24,140 --> 00:06:21,360 specific to this lineage okay 162 00:06:29,779 --> 00:06:24,150 so that's the fun movie here's a couple 163 00:06:31,490 --> 00:06:29,789 of the views how am I on time okay okay 164 00:06:34,279 --> 00:06:31,500 oh great please I'm okay so here's a 165 00:06:36,070 --> 00:06:34,289 couple of different views of the of the 166 00:06:38,270 --> 00:06:36,080 model and broken up in different pieces 167 00:06:39,080 --> 00:06:38,280 so what do we do with this now that we 168 00:06:40,519 --> 00:06:39,090 have this model well there a couple 169 00:06:42,140 --> 00:06:40,529 things we can do and one of the first 170 00:06:44,480 --> 00:06:42,150 things I wanted to do is sort of track 171 00:06:46,320 --> 00:06:44,490 how does the interface between RNA SP 172 00:06:49,619 --> 00:06:46,330 and its substrate change over time 173 00:06:51,899 --> 00:06:49,629 so we start here on the left yes 174 00:06:53,339 --> 00:06:51,909 very early on and so some of the first 175 00:06:54,839 --> 00:06:53,349 things that they are contacted over the 176 00:06:57,360 --> 00:06:54,849 cleavage site that's not surprising and 177 00:06:59,010 --> 00:06:57,370 then there's also part of the the tRNA 178 00:07:01,350 --> 00:06:59,020 that's one helical turn away from the 179 00:07:04,290 --> 00:07:01,360 cleavage site and then as we go forward 180 00:07:05,790 --> 00:07:04,300 in history we start to contact more of 181 00:07:09,510 --> 00:07:05,800 the leader sequence the part that we cut 182 00:07:11,999 --> 00:07:09,520 off and then even more of the acceptor 183 00:07:13,589 --> 00:07:12,009 stem then the T stem T loop and then the 184 00:07:14,670 --> 00:07:13,599 last thing that gets contacted is the D 185 00:07:16,350 --> 00:07:14,680 loop and what's kind of interesting 186 00:07:17,790 --> 00:07:16,360 there is that it's not really until you 187 00:07:19,920 --> 00:07:17,800 get to Luca that you start interacting 188 00:07:23,459 --> 00:07:19,930 with parts of the tRNA they're sort of 189 00:07:25,559 --> 00:07:23,469 unique to tRNA I mean really I mean so 190 00:07:27,450 --> 00:07:25,569 so obviously the acceptor stem is at the 191 00:07:30,270 --> 00:07:27,460 ends is unique it has a CCA tail and all 192 00:07:32,850 --> 00:07:30,280 that but it's essentially interacting 193 00:07:35,760 --> 00:07:32,860 with what you might call mini helix up 194 00:07:38,129 --> 00:07:35,770 until Luca potentially so that suggests 195 00:07:42,270 --> 00:07:38,139 that you know maybe the full tier and I 196 00:07:45,209 --> 00:07:42,280 didn't come till later okay so and just 197 00:07:47,330 --> 00:07:45,219 to I don't really have well this is my 198 00:07:49,830 --> 00:07:47,340 last slide and and I'll just say that 199 00:07:52,080 --> 00:07:49,840 we're kind of right in the thick of it 200 00:07:53,879 --> 00:07:52,090 and like figuring out this model and and 201 00:07:55,320 --> 00:07:53,889 what it all means and but one of the 202 00:07:56,820 --> 00:07:55,330 things that occurred to me is that by 203 00:07:59,430 --> 00:07:56,830 tracking the way this interacts with 204 00:08:01,200 --> 00:07:59,440 tRNA we might be able to synchronize the 205 00:08:03,149 --> 00:08:01,210 evolution of RNA SP with the evolution 206 00:08:05,100 --> 00:08:03,159 of the ribosome with the idea that you 207 00:08:08,279 --> 00:08:05,110 know some of the same when that the 208 00:08:10,080 --> 00:08:08,289 ribosome and RNA SP might be contacting 209 00:08:13,740 --> 00:08:10,090 parts of the tRNA at the same time and 210 00:08:16,080 --> 00:08:13,750 so like I said before RNA SP we don't 211 00:08:18,180 --> 00:08:16,090 contact the D loop until very late and 212 00:08:19,559 --> 00:08:18,190 and the ribosome doesn't start to really 213 00:08:21,719 --> 00:08:19,569 interact with the D loop either until 214 00:08:24,029 --> 00:08:21,729 fairly late so that something along 215 00:08:25,920 --> 00:08:24,039 there we've got a lot of work to do to 216 00:08:27,029 --> 00:08:25,930 really flesh out this model and make 217 00:08:30,450 --> 00:08:27,039 sure it's well synchronized with the 218 00:08:31,409 --> 00:08:30,460 ribosome I this is definitely one of 219 00:08:32,880 --> 00:08:31,419 those projects where you know I'm 220 00:08:35,909 --> 00:08:32,890 talking about it as I'm thinking about 221 00:08:37,500 --> 00:08:35,919 it and so we don't have a nicely tied up 222 00:08:40,290 --> 00:08:37,510 package for what it all means but I 223 00:08:41,760 --> 00:08:40,300 think this is a very important system it 224 00:08:43,889 --> 00:08:41,770 has a lot of potential I haven't heard a 225 00:08:46,160 --> 00:08:43,899 lot of talk about it at origin of life 226 00:08:48,540 --> 00:08:46,170 or astrobiology conferences in a while 227 00:08:49,889 --> 00:08:48,550 you know and so I think we need to 228 00:08:52,110 --> 00:08:49,899 revisit it especially now that we have 229 00:08:53,009 --> 00:08:52,120 all the structural information and with 230 00:08:56,040 --> 00:08:53,019 that I just like to thank my 231 00:08:56,860 --> 00:08:56,050 collaborators at Georgia Tech especially 232 00:08:58,360 --> 00:08:56,870 Anton who 233 00:09:00,130 --> 00:08:58,370 I think it was last night or night 234 00:09:04,090 --> 00:09:00,140 before we spent several hours looking at 235 00:09:06,700 --> 00:09:04,100 structures having a lot of fun and this 236 00:09:09,790 --> 00:09:06,710 work was was done I'm at NASA there at 237 00:09:11,710 --> 00:09:09,800 Georgia Tech and I think you for your 238 00:09:23,920 --> 00:09:11,720 attention and I hope we have a little 239 00:09:26,650 --> 00:09:23,930 time for questions is the protein 240 00:09:30,340 --> 00:09:26,660 ancient or does it what can you say 241 00:09:32,890 --> 00:09:30,350 about the protein well you can you can 242 00:09:36,490 --> 00:09:32,900 say that it's it's totally dispensable 243 00:09:37,480 --> 00:09:36,500 it looks pretty it's I mean it's really 244 00:09:39,160 --> 00:09:37,490 supposed to care it's got it's a it's 245 00:09:41,760 --> 00:09:39,170 mixed alpha-helix you some beta sheets I 246 00:09:46,690 --> 00:09:41,770 mean doesn't really match what some of 247 00:09:49,140 --> 00:09:46,700 you know the accretion models or the 248 00:09:52,960 --> 00:09:49,150 Williams Labs model on early proteins 249 00:09:55,420 --> 00:09:52,970 and it it seems to be a lot of what's 250 00:09:55,990 --> 00:09:55,430 involved is is recognizing the the Phi 251 00:09:58,930 --> 00:09:56,000 Prime leader 252 00:10:00,280 --> 00:09:58,940 more than it does help catalysis but 253 00:10:02,050 --> 00:10:00,290 it's primarily sort of a recognition 254 00:10:03,460 --> 00:10:02,060 thing and and I should point out that 255 00:10:05,050 --> 00:10:03,470 the other artis so that's the bacterial 256 00:10:07,390 --> 00:10:05,060 RTSP just has this one protein that's 257 00:10:09,430 --> 00:10:07,400 shown in brown here over the left but 258 00:10:12,190 --> 00:10:09,440 our kale and eukaryotic Arnie's peas 259 00:10:15,340 --> 00:10:12,200 have several more proteins eukaryotes 260 00:10:17,890 --> 00:10:15,350 have up to ten or so and and an half a 261 00:10:19,180 --> 00:10:17,900 dozen for archaea so and you can and 262 00:10:20,950 --> 00:10:19,190 what's kind of interesting is in some 263 00:10:22,990 --> 00:10:20,960 cases you can kind of see deletions that 264 00:10:24,340 --> 00:10:23,000 happen in eukaryotes archaea where you 265 00:10:27,720 --> 00:10:24,350 kind of have a protein that seems to be 266 00:10:30,790 --> 00:10:27,730 coming and and and compensating for or 267 00:10:34,180 --> 00:10:30,800 you know taking the place of an RNA 268 00:10:35,550 --> 00:10:34,190 element anyway cool stuff but I was 269 00:10:38,590 --> 00:10:35,560 taken when he showed the three 270 00:10:39,250 --> 00:10:38,600 ribonuclease Peas two of them one from 271 00:10:42,280 --> 00:10:39,260 Ithaca 272 00:10:46,720 --> 00:10:42,290 called a caucus you know CIN and the 273 00:10:48,820 --> 00:10:46,730 other are thermophilic are is there any 274 00:10:52,000 --> 00:10:48,830 implication from what you're doing that 275 00:10:55,570 --> 00:10:52,010 perhaps the first ribonuclease P was 276 00:10:57,730 --> 00:10:55,580 high-temperature and that whether or not 277 00:11:00,250 --> 00:10:57,740 that might actually fit with some of the 278 00:11:02,500 --> 00:11:00,260 models that indicate that Luca was also 279 00:11:04,270 --> 00:11:02,510 a high-temperature growing well I'll 280 00:11:06,340 --> 00:11:04,280 just say that the examples I showed 281 00:11:07,180 --> 00:11:06,350 where the example were the examples for 282 00:11:08,350 --> 00:11:07,190 which we have three-dimensional 283 00:11:09,470 --> 00:11:08,360 structures and so it really just speaks 284 00:11:11,480 --> 00:11:09,480 the fact that the thermo file 285 00:11:14,600 --> 00:11:11,490 are easier to get structural information 286 00:11:17,600 --> 00:11:14,610 on some of the the RNA is associated 287 00:11:21,530 --> 00:11:17,610 thermophiles tend to be yeah but you 288 00:11:23,750 --> 00:11:21,540 don't have a model that indicates what 289 00:11:27,800 --> 00:11:23,760 the first ribonuclease p would have 290 00:11:29,509 --> 00:11:27,810 looked like well we do I mean as the the 291 00:11:31,129 --> 00:11:29,519 movie we kind of march through and we 292 00:11:32,840 --> 00:11:31,139 haven't done I mean what what's nice 293 00:11:35,540 --> 00:11:32,850 about the system is its fairly small and 294 00:11:36,710 --> 00:11:35,550 we can go and characterize the activity 295 00:11:39,079 --> 00:11:36,720 of some of these contracts so some of 296 00:11:41,360 --> 00:11:39,089 those all those different steps we plan 297 00:11:42,740 --> 00:11:41,370 to make in the lab and they won't be 298 00:11:45,410 --> 00:11:42,750 that difficult to make it's not a very 299 00:11:47,990 --> 00:11:45,420 large RNA and it we know that a lot of 300 00:11:49,400 --> 00:11:48,000 truncated forms of RNA SP are cadelec 301 00:11:50,780 --> 00:11:49,410 the active you can cut off tremendous 302 00:11:52,790 --> 00:11:50,790 amounts of RNA SP and still have 303 00:11:54,860 --> 00:11:52,800 activity so we're very optimistic that 304 00:11:57,050 --> 00:11:54,870 as we build constructs that correspond 305 00:11:58,639 --> 00:11:57,060 to the different steps in the secretion 306 00:12:00,019 --> 00:11:58,649 model that we'll be able to test them 307 00:12:01,819 --> 00:12:00,029 and characterize you know what 308 00:12:04,400 --> 00:12:01,829 temperature do they work best at what pH 309 00:12:08,240 --> 00:12:04,410 what ions how they respond to iron you 310 00:12:09,860 --> 00:12:08,250 know things like that I was really taken 311 00:12:12,949 --> 00:12:09,870 by the fact that do you have 312 00:12:17,509 --> 00:12:12,959 ribonuclease be functional above 90 313 00:12:25,880 --> 00:12:17,519 degrees and very interested in how that