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giganticFISH Protocol: Channel Hunters - Species Trees
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giganticFISH Protocol: Channel Hunters - Species Trees

Introduction

THE GOAL OF THIS PROJECT is to help advance a promising new genetic technology in medicine, sonogenetics, through the discovery of genes that are present in most animals but absent in animals that use echolocation: Bats and toothed whales. We will do this over the next three weeks. Week 1 we will build species trees. Week 2 we will build gene trees. Week 3 we will advance research in sonogenetics (details on what sonogenetics is are below) and hunt for ion channel genes (details on what ion channels are are below) that may have been lost in the evolution of echolocation in bats and toothed whales. In doing this you will gain training in different phylogenetic tools and techniques, including multiple sequence alignment and tree building, how to read and interpret phylogenetic trees, and on mapping traits onto trees to understand their evolution, in addition to learning about vertebrate diversity, mechanosensitive ion channels, and echolocation. Skills learned are highly applicable and can be extended in areas of protein engineering, personalized medicine, genomics, and evolution, including approaches used in characterizing Sars-Cov-2 and its evolution in human populations. WHY: Sonogenetics is a new emerging technology that could help improve and save lives for millions of people suffering from brain, heart, and other disorders world-wide. The technology holds great promise but is only recently invented. It requires additional development before it can be used in medicine. Advancing sonogenetics is a focus of our research in the Shrek Chalasani laboratory at the Salk Institute in La Jolla, California. The giganticFISH Channel Hunters project is designed to be a part of our ongoing research to advance sonogenetics, including work that you will do. The project offers you the opportunity to work with research-level phylogenomic tools and data sets to answer questions about species and gene family evolution - and in the process contribute to sonogenetics research and join us in the advance of sonogenetics for science and medicine. WHAT: Sonogenetics uses pressure waves generated by ultrasound ("sono") to activate ion channels ("genetics" ) and modulate downstream biology. To understand sonogenetics, we need to first understand 1) what these "mechanosensitive" ion channels are and how they work, 2) what ultrasound is and how it works, and 3) how these two things come together to create sonogenetic technology and how it might be used in medicine. Ion channels are proteins that stretch across the cell membrane and have a hole or pore in their center. This pore is unusual in that it will open or close in response to a stimulus. The pore in a mechanosensitive ion channel is closed at rest but opens in response to a mechanical force, like pressure. The cell membrane is a barrier to the movement of ions into a cell. However, opening of the pore in an ion channel creates a tunnel through the cell membrane that ions can then move through to enter or exit a cell. When the physical force stops, the pore in a mechanosensitive channel closes, and the movement of ions stops. Thus, a mechanosenstive ion channel can provide a signal of when a mechanical force starts and stops through the movement of ions. Cells are highly sensitive to ion concentration, so the movement of ions through a channel can lead to dramatic changes in downstream biology in response to an initial stimulus. For instance, if you sense a poke on your arm and turn your head to see who did it, the origins of your response trace back to mechanosensitive ion channel that opened up and lead to downstream changes. Mechanosensitive ion channels are present in many types of cells and tissues. For example, as you might have guessed or already know, mechanosensitive ion channels are present in sensory neurons in your skin, where they are part of a pathway that translates a mechanical force on the skin (like a poke on the arm) into a sensation of touch. When you feel touch, it is actually a mechanosensitive ion channel in a sensory neuron in the skin that first sensed and responded to a physical force of pressure. In its response to pressure, the ion channel opens, allowing the movement of ions in and out of the cell. This movement of ions changes the physiology of the cell and leads to downstream changes in biology of the cell and organism. Again, in the case of a sensory neuron in the skin that senses touch, the mechanical force of pressure triggers mechanosensitive ion channels to open. Ions can then enter the sensory neuron through the now open pore of a mechanosensitive ion channel. This movement of ions through an open channel in a sensory neuron leads to production of an action potential by the neuron (action potentials are ion-based electrical signals used for communication between neurons). The actional potential signal travels through the nervous system to the brain. The brain processes the transmitted signal - a signal that again was generated by a mechanical force of pressure that caused opening of a pore in mechanosensitive ion channel in a sensory neuron in the skin. This downstream higher-level processing by the brain leads to you having a sensation of touch on your skin. This entire sequence of events is what happens when a friend pokes you in the arm to get your attention and you feel it. You sense a touch on the arm but it all starts with a mechanical force acting on a mechanosenstiive ion channel that opens its pore and allows movement of ions in a sensory neuron in your skin. It's worth noting that in reality, it is not just one channel or even one neuron but many that are involved in this process. Ultrasound is a type of mechanical energy in the form of a wave. Waves have frequencies (number of waves over time) and ultrasound waves have frequencies that are distinct from the wave frequencies of sound and infrasound. Mechanical energy waves are physical features of the universe, however, the specific range of frequencies that we call sound is defined by human biology. Sound is the range of mechanical energy wave frequencies that our ears are able to detect and sense as hearing, going from 16 to 20,000 Hertz. Infrasound is defined as mechanical energy waves that occur at frequencies lower than sound waves and what we can hear. Similarly, ultrasound is simply the range of mechanical energy waves that occur at frequencies higher than sound waves and what we can hear. Although we can not hear ultrasounds, many animals can. For instance, mice sing to one another in ultrasound but we hear nothing. Or a dog whistle that your dog can hear but you can not is similarly ultrasound, meaning mechanical energy waves at frequencies that are beyond our ability to hear but are within the range of a dog's ability to hear and sense sound. Of interest for the giganticFISH Channel Hunters project, bats and toothed whales are able to generate high-intensity ultrasound waves for echolocation. In echolocation, ultrasound waves are generated and sent out into the environment by a bat or toothed whale. In the environment, ultrasound waves from a bat or toothed whale are reflected off of objects. The reflected ultrasound waves can then be detected by the bat or toothed whale, allowing them to sense objects in the environment around them. Echolocation is similar to sonar that is used in submarines. Basically, production and detection of ultrasound in echolocation is done by an organism vs. in sonar it is done mechanically by machines. Ultrasound can generate pressure that acts as a mechanical force on a cell or its immediate environment. Pressures and mechanical forces generated by ultrasound can activate mechanosensitive ion channels in a cell. Ultrasound-based forces that cause opening or closing of mechnosensitive ion channels can lead to downstream changes in activities of the cell and organism. The ability to use ultrasound to generate forces that active mechanosensitive ion channels and alter or modulate downstream biology is the basis of sonogenetics. Sonogenetics was first created in the Shrek Chalasani lab (where Lola, Jan, and Eric are based) at the Salk Institute as a tool for neuroscience and published in 2015. A mechanosensitive ion channel was expressed in a single neuron in the "brain" of a worm. The neuron is known to cause a worm that is crawling forward to crawl backwards. Prior to expression of the channel in the neuron, applying ultrasound to a worm had no effect on its behavior. After targeting and expressing the mechanosensitive ion channel in the single neuron, application of ultrasound to a worm that was crawling head-first caused the worm to stop and crawl tail-first. Stopping the ultrasound allowed the worm to continue crawling head-first again. You can see an example of this experiment here. The Chalasani lab has a new 2020 paper under review for publication that demonstrates that sonogenetics tools work in human neurons in a dish and in the brain of a mouse to control its behavior, results that move us a step closer towards genetic therapies that could be used in people to help treat diverse illnesses and disease. An important feature of ultrasound in medicine is that it is safe to use in people and does not require surgery to access tissues and organs deep in the body. You are probably familiar with it its use for visualizing a developing baby during pregnancy. The ultrasound is able to pass harmlessly through tissues and can even transmit through bone to some degree. This means that if we were to genetically target and express a mechanosensitive ion channel in part of the brain or heart that is working incorrectly, we could potentially use ultrasound to activate the ion channel and produce action potentials or other ion-dependent activities that are missing or dysfunctional in a disease. Examples of where a sonogenetic-based therapy might one day be useful in medicine include Parkinson's disease, Post-Traumatic Stress Syndrome (PTSD), or pacemaker irregularities. Current treatments like deep brain stimulation or a medical pacemaker require invasive surgeries, like drilling a hole in skull to insert a probe into the brain. However, the possibility of genetic targeting of a mechanosensitive ion channel to specific cells using safely modified virus-based tools injected into the blood, combined with stimulation of the channel after expression in the cells using non-invasive ultrasound, makes sonogenetics a promising alternative. For example, in the future neurological diseases, like Parkinson's, might be alleviated by sonogenetic treatments, as abilities in the brain that fail to function could be supplemented by stimulation of specific brain regions through expressed channels and ultrasound. However, to achieve this the technology must be developed beyond its use in simple worms or even mice. HOW: To advance sonogenetic technology, we would like to create ion channels that respond to specific wavelengths and intensities of ultrasound. This will provide more targeted control of the tool, which will be important in developing genetic therapies based on it. To do this, Lola, Jan, and Eric have developed a comparative genomics tool, gigantic, that explores genome-scale genetic diversity across organisms. We started using this tool to look at the evolution of mechanosensitive ion channels to then use in developing sonogenetic tools in the lab. To identify new mechanosensitive ion channels that may be responsive to ultrasound, we are using a new idea recently developed in the lab. We noticed that the ion channel that responds to ultrasound when expressed in human neurons and in mouse brain in the 2020 manuscript is present in the genomes of nearly all animals that have been sequenced but is absent in toothed whales. Given that the channel is responsive to ultrasound, we had initially thought toothed whales might use it in echolocation. We were very surprised to instead see its unusual loss in toothed whales. However, the channel is expressed in diverse types of cells and neurons in mammals. Given this fact, one way to interpret loss of the channel in toothed whales is that when toothed whales were first evolving high-intensity ultrasound for use in echolocation (vs. low intensity ultrasound that is likely used by mice in singing), the high ultrasound intensities may have caused the channel to suddenly activate in diverse cells and tissues when no activation was wanted. This could have had severe negative consequences and these negative consequences may have lead to growing natural selection pressures against keeping the channel and ultimately loss of the channel in the genome of toothed whales, as echolocation evolved and became increasingly important in their biology. There are diverse mechanosensitive ion channels but its often unknown which ones are sensitive to ultrasound. It is a big undertaking to test any one channel, so if it's possible to start with channels that are more likely to respond to ultrasound, this can more rapidly, cheaply, and efficiently advance the development of sonogenetic technology. Given this, we realized that understanding the evolution of mechanosensitive ion channels in bats and toothed whales could potentially identify other channels that have been lost in either group and might have been lost due to a sensitivity to high-intensity ultrasound. Thus, we propose as part of the giganticFISH Channel Hunters project to characterize the evolution of many mechanosensitive ion channels in vertebrates and see if they show unusual patterns of loss in toothed whales or bats. If so, the lab at the Salk will work with the identified channels and test them in human neurons and mice to see if they might be added to the sonogenetic toolkit and help advance the technology. WHEN: The project is split into three labs over three weeks: WEEK 1 Species Tree - THIS WEEK RESEARCH LEVEL 1: Species Tree Vertebrate species tree are well-resolved. This work will generate a species tree that replicates what is already commonly known. It offers an opportunity to get your sea legs in phylogenomics research and will verify you have the tools and workflow working correctly. WEEK 2 Gene Tree - 2nd WEEK RESEARCH LEVEL 2: TOP SECRET Gene Tree TOP SECRET gene evolution is well known in many animals but we discovered this summer highly unusual evolutionary patterns of TOP SECRET when looking across vertebrate diversity. Your work here represents critical replication of our gene tree findings to ensure things are what we think they are. TOP SECRET in toothed whales is a super exciting but brand new and still unpublished result - so TOP SECRET is TOP SECRET. The secret will be revealed. Please limit who you tell. Interviews on CNN not advised. WEEK 3 Gene Tree - 3rd WEEK RESEARCH LEVEL 3: New Gene Tree There are over 20 known ion channels that respond to mechanical stimulation in human and may also respond to ultrasound. We have not - and no one in the scientific literature has ever - looked specifically at evolution of these channels in echolocating animals vs all major groups of vertebrates. Your own work in the lab will do produce gene trees for assigned ion channels and break new ground - we can't wait to see what you DISCOVER!!! MAJOR STEPS PER LEVEL A Build alignment B View alignment C Build Tree D View tree E Annotate tree F Post tree

Materials

Procedure

  • START HERE: Register FREE accounts
  1. Get assigned or assign yourself (depending on teacher/professor instructions) a team number - you will need just an iTOL number (T01-T22) for this week.
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F
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1
iTOL TeamTeam People 1-3OMG CGSGene SymbolGene NameGene PageBackgroundBackgroundBackgroundSource Species
2
T01Team HS1GRIN1Glutamate receptor ionotropic, NMDA 1human
3
T02Team HS2GRIN2AGlutamate receptor ionotropic, NMDA 2Ahuman
4
T03Team HS3GRIN2BGlutamate receptor ionotropic, NMDA 2Bhuman
5
T04Team HS4GRIN2CGlutamate receptor ionotropic, NMDA 2Chuman
6
T05Team HS5GRIN2DGlutamate receptor ionotropic, NMDA 2Dhuman
7
T06Team HS6GRIN3AGlutamate receptor ionotropic, NMDA 3Ahuman
8
T07Team HS7GRIN3BGlutamate receptor ionotropic, NMDA 3Bhuman
9
T08Team HS8KCNA1Potassium voltage-gated channel subfamily A member 1human
10
T09Team HS9KCNK10Potassium channel subfamily K member 10NAhuman
11
T10Team HS10KCNK2Potassium channel subfamily K member 2NAhuman
12
T11Team HS11mec-10Degenerin mec-10NANAroundworm
13
T12Team HS12mec-4Degenerin mec-4NANAroundworm
14
T13Team MC1mec-6Mechanosensory abnormality protein 6NANAroundworm
15
T14Team MC2PIEZO1Piezo-type mechanosensitive ion channel component 1NANAhuman
16
T15Team MC3PIEZO2Piezo-type mechanosensitive ion channel component 2NANAhuman
17
T16Team MC4SCN5ASodium channel protein type 5 subunit alphaNAhuman
18
T17Team MC5SLC26A5PrestinNAhuman
19
T18Team MC6TMC1Transmembrane channel-like protein 1NANAhuman
20
T19Team MC7TMC2Transmembrane channel-like protein 2NANAhuman
21
T20Team MC8Trpn1Ion channel NompCzebrafish
22
T21Team MC9TRPV4Transient receptor potential cation channel subfamily V member 4human
  1. Join the Slack giganticFISH workspace - use the FREE trial, if you don't already have a Slack account.
  • YOU CAN USE SLACK ONLINE OR DOWNLOAD THE APP AND USE ON YOUR DESKTOP.
  • After joining the giganticFISH workspace - click on your icon and updated your profile to include your full name.
  • Check in on things in the giganticFISH workspace at the start of each lab - updates and other details will be posted there.
  1. Set up a free account on CIPRES: http://www.phylo.org/
  • Create an account and log into CIPRES - any email address can work to create an account but make it one that you can check as some jobs can take hours to run and you'll get an email when they finish.

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  • Do Sections A-F using Species-11 data - and then repeat using Species-133 data.
  • A: Build Alignment
  1. Download Species-11 and Species-133 Fasta files of protein sequences from giganticFISH. To do this:
  • 2) Use the Save Page option in your web browser to save the file to your computer - for example, in Chrome you would go: File > Save Page As > select the text option and save to your computer.

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  • 4) Use the Save Page option in your web browser to save the file to your computer - for example, in Chrome you would go File > Save Page As > select the text option and save to your computer.
  1. Upload a Species Fasta file to CIPRES - a supercomputer at UCSD and funded by the National Science Foundation (NSF) to provide dedicated support for large-scale phylogenetic analyses. Upload Species-11 data on your first pass and Species-133 data on your second pass through Sections A-F.
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  • To do this:
  • 1) Create or select a folder to work in.

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  • 2) Create a label and 3) Save the folder

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  • 4) Select data folder - 5) Upload the Species Fasta file (either Species-11 or Species-133) - 6) Provide a label - and 7) Save.

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  • 8) You should now have the Species Fasta file saved to a Project Data folder on CIPRES.
  1. Run CIPRES MAFFT on the Species Fasta file to generate an alignment.
  • To do this:
  • 1) Select the Tasks folder and 2) Create a new task.

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  • 2) Provide a label for the job - in this case you will be running MAFFT to generate a Multiple Sequence Alignment of Species Tree Gene Set sequence data.

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  • 3) Select input data under the "Select Data" tab - for MAFFT alignment this would be the uploaded Species Fasta file of protein sequence data (either Species-11 or Species-133).

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  • 4) Select software to run under the "Select Tool" tab - for sequence alignment this would be the MAFFT software.

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  • 5) Select "MAFFT on XSEDE".
  • 6) This will take you back to the Tasks Task Summary tab - now with MAFFT on XSEDE listed as Tool - no need to save things yet - we still have to check parameters (settings) for the software.

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  • 7) Adjust parameters by selecting the "Input Parameters" blue button or the "Set Parameters" tab - they do the same thing.
  • Maximum Hours --> anywhere between 5-168

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  • 8) Click save parameter settings - and click OK for the popup box.

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  • 9) Click the Save Task button - generally avoid the "Save and Run Task" option, as it sometimes results in loss of all input information.

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  • 10) Run your new task - MAFFT alignment of the Species Tree protein sequence data - using the Run Task button on the right. It will then change to View Status. After the job completes it will change to View Output.

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  1. CIPRES MAFFT Species-11 Alignment takes a few minutes, depending on the number of users on CIPRES at that time. Species-133 Alignment takes around 2 hours - CIPRES will email you when it finishes. For Species-11, while MAFFT is running proceed to Section B. For Species-133, you can start up at Section C after alignment has completed.
  • B: View alignment
  1. The sequences used to generate Species-11 and Species-133 species trees are really long - over 12,000 amino acids per species. This causes the online alignment viewers, like AlignmentViewer to fail. To give you a sense of what an alignment looks like, we prepared a shorter version of the alignment.
  1. Upload the short Alignment file you downloaded from giganticFISH using the Choose File button on the right side of the webpage. It will process the file and produce the following output:

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  1. Explore features of the alignment.
  1. When you have time spend, 5-10 minutes thinking about the details and question in the AlignmentViewer Guided Questions on gigantic.fish.
  • C: Build tree
  1. Check that CIPRES MAFFT alignment completed successfully and save the file to your Data folder.
  • To do this:
  • 1) Go to the Tasks folder. Mafft has finished its alignment if the Action button reads "View Output"
  • 2) Click on the Action button once it changes from View Status to View Output. It often finishes prior to updating the Action button, so you can also click on the Action button when it reads View Status and check to see if there is output yet. Once it indicates output the job has completed.

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  • 3) Click on the Output View text (see above) to view the output.

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  • 4) Click on the output.mafft --> View text (above ) to view the alignment file.

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  • 5) Click on the Save To Current Folder button (see above) to save the alignment file to the Data folder.

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  • 7) Click the Save button to save the file. You will be taken back to the initial MAFFT output page.
  1. Run CIPRES NCLConvertor on the Species Tree Alignment to produce a relaxed Phylip version of the alignment. The relaxed Phylip format is required for tree building. The general process to do this is similar to the steps followed above to run a MAFFT alignment, so we opted to leave out screen shots for NCLConvertor. Please see the examples above or ask if there is confusion as to how you should set things up and run things.
  • To do this:
  • 1) Create a new Task.
  • 2) Provide a Description - can name it NCLConvertor Species-11 or Species-133.
  • 3) Select Input Data - selecting the output.mafft file that you saved to the Data folder.
  • 4) Select Tool - selecting NCLConvertor.
  • 5) Set the following parameters as follows:
  • Input Format --> Fasta
  • Maximum Hours to Run --> 1
  • Specify Data Type --> Protein
  • Output Format --> Relaxed Phylip
  • 6) Click the Save Task button - and click OK for the popup box.
  • 7) Click Run Task button on the right.
  • PAUSE
    Until the job has completed: CIPRES NCLConvertor typically takes just a few minutes to complete.
  • 8) Save the reformatted alignment file as above - the file you want to save is: out.aa.phy
  1. Run CIPRES RAxML-NG on the Species Tree Relaxed Phylip Alignment to produce a Species Tree. The general process to do this is similar to the steps followed above to run a MAFFT alignment, so we opted to leave out screen shots for RAxML-NG. Please see the examples above or ask if there is confusion in how to set things up and run things To do this:
  • 1) Create a new Task.
  • 2) Provide a Description - can name it RAxML Species-11 or Species-133.
  • 3) Select Input Data - selecting the out.aa.phy file that you saved to the Data folder.
  • 4) Select Tool - selecting RAxML-NG.
  • 5) Set the following parameters as follows:
  • Maximum Hours to Run --> 24
  • Sequence Type --> Protein
  • Number of Patterns --> 12,000
  • SPECIES-133 ONLY - I Need More Memory --> Click the check box
  • 6) Click the Save Task button - and click OK for the popup box.
  • 7) Click Run Task button on the right.
  • PAUSE
    Until the job has completed: CIPRES RAxML-NG Species-11 takes 10 minutes or so to complete. Species-133 takes around 4-5 hours to run but may take longer depending on the cue for jobs to begin running on CIPRES at the time. CIPRES will email you when it finishes.
  • 8) Save the reformatted alignment file as above - the file you want to save is: infile.raxml.bestTree
  • D: View tree
  1. Copy to clipboard the Species Tree from CIPRES.
  • To do this:
  • 1) Click on the Data folder.
  • 2) Click on the User Data Id text for the infile.raxml.bestTree file.
  • 3) Copy the text in the grey box - this is the tree file.
  1. Log in to the website: giganticfish pwd g1g4nt1cf1sh
  1. Select the iTOL workspace (T01-T22) assigned to your team - see the spreadsheet above or ask if unsure what iTOL you are.
  1. Click on the button Paste Tree Text.
  1. Name the file - Species-11 Tree or Species-133 Tree.
  1. Paste the RAxML-NG tree file into the text box.

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  1. Click the Upload button.
  1. Click on the Title name of the tree (blue text on right).
  1. Click on the name Invertebrates for Species-11 or the sea urchin branch for Species-133.

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  1. Select Tree Structure and then select Reroot the Tree Here in the pop-up.

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  1. Click on the Export tab in the Control panel.
  • Format --> PDF
  • Export Area --> Full Image

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  1. A pdf of the tree is automatically saved to your computer. We next want to annotate the tree for major groups of interest however iTOL is not very user-friendly, so we will do this in online software for annotating PDFs - Xodo.
  • E: Annotate tree
  1. Annotate your Species Tree - use the tree below (also on giganticFISH at https://gigantic.fish/wp-content/uploads/2020/11/species-tree-mini-skinny-anno.png )as a guideline as how to do this. For color in the box set opacity to 25%.

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  1. Here is an example of color settings in Xodo:

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  • F: Post Tree
  1. CRITICAL
    Post your Annotated Species Tree on the giganticFISH Slack Channel #TREES-PLEASE.
  1. PAUSE
    If you just finished Species-11 data set you could stop here for now - or if there is time, you can get Species-133 to the point that it is being aligned by MAFFT, as this is another good stop point, as MAFFT takes 2-3 hours to complete. Similarly, RAxML-NG takes nearly 5 hours to complete. For both you can start the job running and return to later after it has completed.
  • X: CONGRATULATIONS! YOU COMPLETED WEEK ONE
  1. PAUSE
    SCIENCE RESEARCH LEVEL 1 ๐Ÿ™Œ SPECIES TREE MILESTONE! ๐Ÿ™Œ

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