What I do for a living Part 1: DNA

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Mr. DNA, Jurassic Park (1993)

Microbiome studies do not usually employ culturing techniques, and many microorganisms are too recalcitrant to grow in the laboratory. Instead, presumptive identification is made using gene sequence comparisons to known species. The ribosome is an organelle found in all living cells (they are ubiquitous), and it is responsible for translating RNA into amino acid chains.  The genes in DNA which encode the parts of the ribosome are great targets for identification-based sequencing.  In particular, the small subunit of the ribosome (SSU rRNA) provides a good platform for current molecular methods, although the gene itself does not provide any information about the phenotypic functionality of the organism.

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Prokaryotes, such as bacteria and archaea, have a 16S rRNA gene which is approximately 1,600 nucleotide base pairs in length. Eukaryotes, such as protozoa, fungi, plants, animals, etc., have an 18S rRNA gene which is up to 2,300 base pairs in length, depending on the kingdom. In both cases, the 16 or 18 refers to sedimentation rates, and the S stands for Svedberg Units, all-together it is a relative measure of weight and size. Thus, the 18S is larger than the 16S, and would sink faster in water. In both genes, there exist regions which are conserved (identical or near-identical) across taxa, and nine variable regions (V1-V9) [1]. The variable regions are generally found on the exterior of the ribosome, where they are more exposed and prone to higher evolutionary rates.  Since the outside of the ribosome is not integral to maintaining its structure, the variable regions  are not under functional constraint and may evolve without destroying the ribosome. They provide a means for identification and classification through analysis [2-6]. The conserved areas are targets for primers, as a single primer can bind universally (to all or nearly-all) to its target taxa.  The conserved regions are all on the internal structure of the ribosome, and too much change in the sequence will cause its 3D (tertiary) structure to change, thus it won’t be able to interact with the many components in the cell.  Mutations or changes in the conserved regions often causes a non-functional ribosome and will kill the cell.

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Image: alimetrics.net

In addition to a small subunit, ribosomes also possess a large subunit (LSU rRNA), the 23S rRNA in prokaryotes, and the 28S rRNA in eukaryotes. Eukaryotes have an additional 5.8S subunit which is non-coding, and all small and large units of RNA have associated proteins which aid in structure and function. Taken together, this gives a combined 70S ribosome in prokaryotes, and a combined 80S ribosome rRNA in eukaryotes.

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The ribosome assembles amino acids into protein chains based on the instructions of messenger RNA (mRNA) sequences.  (Image: shmoop.com)

The way to study the rRNA gene is to sequence it.  First, you need to extract the DNA from cells, and then you need to make millions of copies of the gene you want using Polymerase Chain Reaction (PCR).  PCR and sequencing technology more or less work the same way as a cell would make copies of DNA for cell processes or division (mitosis). You take template DNA, building block nucleotides, and a polymerase enzyme which is responsible for reading the DNA sequence and making an identical copy, and with hours of troubleshooting get a billion copies!  Many sequencing machines use nucleotides that have colored dyes attached, and when a nucleotide is added, that dye gets cut (cleaved) off, and the camera can catch and interpret that action.  It then records each nucleotide being added to each separate DNA strand, and outputs the sequences for the microorganisms that were in your original sample!

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Image: nature.com

The two main challenges facing high-throughput sequencing are in choosing a target for amplification, and being able to integrate the generated data into an increased understanding of the microbiome of the environment being studied. High-throughput sequencing can currently sequence thousands to millions of reads which are up to 600-1000 bases in length, depending on the platform. This has forced studies to choose which variable regions of the rRNA gene to amplify and sequence, and has opened up an arena for debate on which variable region to choose [2].  And of course, the DNA analysis of all this data you’ve now created is quickly being recognized as the most difficult part- which is what I focused on during my post-doc in the Yeoman Lab.  Stay tuned for a blog post on the wonderful world of bioinformatics!

 

  1. Neefs J-M, Van de Peer Y, Hendriks L, De Wachter R: Compilation of small ribosomal subunit RNA sequences. Nucleic Acids Res 1990, 18:2237–2318.
  2. Kim M, Morrison M, Yu Z: Evaluation of different partial 16S rRNA gene sequence regions for phylogenetic analysis of microbiomes. J Microbiol Methods 2010, 84:81–87.
  3. Doud MS, Light M, Gonzalez G, Narasimhan G, Mathee K: Combination of 16S rRNA variable regions provides a detailed analysis of bacterial community dynamics in the lungs of cystic fibrosis patients. Hum. Genomics 2010, 4:147–169.
  4. Yu Z, Morrison M: Comparisons of different hypervariable regions of rrs genes for use in fingerprinting of microbial communities by PCR-denaturing gradient gel electrophoresis. Appl Env Microbiol 2004, 70:4800–4806.
  5. Lane DJ, Pace B, Olsen GJ, Stahl DA, Sogin ML, Pace NR: Rapid determination of 16S ribosomal RNA sequences for phylogenetic analyses. Proc Natl Acad Sci USA 1985, 82:6955–6959.
  6. Yu Z, García-González R, Schanbacher FL, Morrison M: Evaluations of different hypervariable regions of archaeal 16S rRNA genes in profiling of methanogens by archaea-specific PCR and denaturing gradient gel electrophoresis. Appl Env Microbiol 2007, 74:889–893.

Where are the women in STEM?

The “Women in Science” debate has been raging on in a variety of ways, from wondering why there aren’t more of us to whether or not a mixed-gender lab is too distractingly sexy.  The amount of women in science, the pay gap, and career advancement potential varies wildly by country and research field. So does public opinion about whether or not there is an actual problem, what might be causing it, and what we might do about it. In 2011, women only earned about 18% of undergraduate computer science degrees, down from its peak of 37% in 1985. The percentage of women earning graduate-level degrees has been slowly increasing since 1970, with 28% of the masters degrees and 20% of the doctoral degrees (Ph.D ,s) being earned by women in 2011. Women make up roughly 41% of total STEM doctoral degrees earned; however, women only fill 24% of STEM jobs in the US, and only 25% of STEM managers are female. Universities are only slightly better, with 28% of tenure-track faculty positions being held by women in the US, but only 12% worldwide.

This debate isn’t just specific to science in academia, but a lack of diversity in the educational system can have interesting effects.  First, a lack of female (or other demographic) role models means that female children are less likely to go into that field: if they don’t see anyone paving the way, then the idea that they might also become a physicist doesn’t occur to them or doesn’t sound like an attractive career.  While boys and girls are taking math and science in equal numbers in grade school, this doesn’t translate into the same number of men and women in math or science undergraduate fields, where women only earn 18% of undergraduate  computer science degrees, down from 37% in 1985, and only 11.5% of software developers are female.  Part of this is the perception that men are better than women at math and science, even though women have been shown to be better at writing computer code than men, but only when reviewers did not know the coder was female.  Science faculty, regardless of their own gender, were more likely to hire a male applicant over an identical female applicant, and offered them several thousand dollars more starting salary for the same position. The male applicant was perceived as more competent, more hirable, and more in need of mentoring than the identical female applicant.

Another problem is that women are less likely to have people sponsoring or advocating for them in the work place (available here and discussed here).  People with sponsors were 30% more likely to be promoted or given raises.  As of 2014, only 23% of Americans polled preferred a female boss, which is and has always been lower than the number of respondents preferring a male boss, which may account for the lack of support women find in climbing the ladder.  Surprisingly, women were 13% more likely to want a male boss, which may be a reaction to fierce competition to become the “token woman” at a company or working group, as women or other minorities who advocate hiring another woman or minority are rated poorly.  There is also the perception among women that a female boss is less likely to promote you over herself, as she doesn’t want competition, known as Queen Bee Syndrome.  This too, has been refuted, as women are shown to be more likely to mentor and develop female employees lower down on the ladder (discussed here).

Finally, one of the reasons that women are not found in some fields or levels of management, which no one really wants to discuss, is the disparaging levels of sexism and harassment we may face.  For female graduate students, post-docs, or new professionals, sexual harassment at work can increase attrition rates.  Due to the close nature of the working relationship of graduates/post-docs with their advisors, many students feel they can’t report inappropriate behavior (of any nature) for fear of losing their position in the program.  As a student, you need your advisor to approve everything, from the courses you have taken to manuscripts before publishing, and a poor relationship with your advisor can make it nearly impossible for you to complete your work.  Tenured faculty who have been accused of harassment also seem to be acting with impunity, as it can be difficult, time-consuming, and costly to fire a tenure professor (in the absence of proven criminal activity).  In field situations, sexual harassment can take on a more sinister tone, as you may be the only female in a group and depending on your abuser to keep you alive.

So what can we do about this?  Because this isn’t just a woman’s issue.  That’s what I discussed here because I have some expertise with being a woman, but in general, diversity in society is a hotly contested issue.  It really shouldn’t be, increasing the diversity in a group can increase performance and improve decision making (discussed here).  Having a diverse group of people (in terms of gender, race, sexuality, education, economic status, birth order, pets owned, places lived, live experiences learned from..) gives the group a wider range of previous experience to lean upon when solving problems.  It’s why we evolved into a social society in the first place- it was better for survival.

The first step to solving our diversity issues is to let go of preconceived notions about yourself or others.  Stop thinking about life-related obstacles to your career trajectory, such as whether you want kids or having to relocate your family, and stop assuming that others might be better or worse at their job because they have chosen a certain family dynamic.  Stop thinking you might not get a job because of what the employer might thinking about women as bioinformaticians, and in turn stop stereotyping applicants based on your ideas of who they are and of what they are capable.

The second step is to be a role model, and to actively engage the next generations of computer scientists, astronauts, microbial ecologists, astrophysicists, and educators.  As a woman in science, it’s important to me to encourage other women and girls in science, because I would not be here today without the positive female role models I have had.  It’s important to support programs that encourage different minorities to achieve in fields where they are underrepresented, because it benefits all of us.

And the third step, perhaps the most difficult. is to have an open conversation about the difficulties and prejudices facing women, or anyone, in different science fields.  Often people can fall back on stereotypes or be sexist or racist without realizing it, and it’s important to speak up and have a conversation with them to come to a better understanding of how to get along.  When someone’s words or actions are creating a hostile work environment, tell them directly, as well as their supervisor or relevant reporting agency as needed.  If we don’t address the problem on an individual basis, then individuals will never amend their actions.  In addition, it’s important to validate the feelings of and listen to someone who has been the victim of harassment or a crime (of any nature), because it’s important to make them feel safe and believed.  Often, victims of sexual harassment state that not having their reports believed or treating seriously by supervisors was worse than the harassment itself.  And personally, I have plenty to do on a daily basis without having to deal with casual or institutional sexism.  Working women are simply too busy quietly doing well at ours jobs to deal with men’s feelings about us.

 

 

 

Congrats to grad student Medora Lachman!

Medora Lachman, one of the graduate students in the Yeoman lab, won an award for a poster last week.  I have been helping Medora to learn bioinformatics, and to wrangle her 1500 sequencing samples!

Repost from Yeoman Lab: “Congratulations to graduate student Medora Lachman who was awarded the Laurie Henneman Outstanding Student Presentation award for best graduate poster at the 2016 Montana Academy of Sciences annual meeting!!! Medora is studying the interrelationships between maternal nurturing, gut microbial succession, and immune maturation in ruminants. Medora’s research is supported by the Montana Agricultural Experiment Station, USDA’s W3177 multi-state project (Enhancing the competitiveness of US beef) funding, and by Land ‘o’ Lakes.”

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Two Abstracts Accepted as Oral Presentations!

In addition to the poster I’ll be presenting at ASM Microbe in Boston, I’ll be presenting two oral presentations at the Joint Annual Meeting in Salt Lake City, Utah in July.  JAM brings together the American Society of Animal Science (ASAS), the American Dairy Science Association (ADSA), the Western Section of the American Society of Animal Science (WSASAS), and the Canadian Society of Animal Science (CSAS).

I’ll be presenting “Influence of colostrum on the microbiological diversity of the developing bovine intestinal tract” in the Ruminant Nutrition section, and “Ground redberry juniper and urea in DDGS-based supplements do not adversely affect ewe lamb rumen microbial communities” in the Small Ruminant section.  Both projects are collaborations with the  Yeoman Lab.  Check back to my calendar in a few weeks to get more details on my presentations!

Counting seedlings

Today I went to the MSU Post Farm, one of the several agricultural farms affiliated with MSU Bozeman, along with several other members of the Menalled lab. We were going to count seedlings of the agricultural crop winter wheat, and a competitive weed, cheat grass.

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The plots are left out in the field for ambient rain and temperature conditions, or put into one of two treatments, or both combined, to mimic climate change: increased temperatures and reduced rainfall. This is similar to the project I will be working on, so it’s good job training. And, those study cards that my mentee made me last week really did come in handy!

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I Accepted a New Position in Soil Microbiology and Agroeconomy!

As my current post-doctoral position winds down in the Yeoman Lab in the Department of Animal and Range Sciences, I am pleased to announce that I have accepted a post-doctoral position in the Menalled Lab in the Land Resources and Environmental Sciences Department! Dr. Menalled’s work focuses on agricultural weed ecology and management, particularly with respect to plant-plant interactions, changing climate (water and temperature changes), and now plant-microbe interactions!

I’ll primarily be working on a new two-year project that recently got funded through the USDA, entitled “Assessing the vulnerability and resiliency of integrated crop-livestock organic systems in water-limited environments under current and predicted climate scenarios”, but I’ll also be working collaboratively on several other similar projects in the lab.

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A little pre-job job training: I’m helping to make structures to keep rain out (rain-out shelters) of plots to simulate drier climate conditions.  Photo: Tim Seipel

My new responsibilities will include comparing agronomic performance and weed-crop-pathogen interactions between organic-tilled and organic-grazed systems, evaluating the impact of management and biophysical variables on soil microbial communities, and collaborating in modeling the long-term consequences of these interactions under current and predicted climate scenarios.  It’ll mean a lot more field work, and a lot of new skills to learn!  In fact, to help me study for my new job working with agricultural plants, my mentee and her friend made me flash cards:

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My mentee made my study cards so I could learn to identify common crop and weed species.

In addition to my new skills, I’ll be integrating my background in microbial ecology and bioinformatics, in order to study agricultural ecosystems more holistically and measure plant-microbe interactions.  In the same way that humans eat probiotics to promote a healthy gut microbiome, plants foster good relationships with specific soil microorganisms. The most exciting part is that I will act as an interdisciplinary bridge between the agroecology of the Menalled lab and the microbial ecology of the Yeoman lab, which will allow for more effective collaborations!

 

 

How is manuscript editing like roulette?

Because you play another round until your number wins!

Manuscript writing seems like it should be a straightforward ordeal. You explain the current body of research on the subject and identify the knowledge gap that your hypothesis fills, explain the rationale and objectives for the study, describe all the methods you used, present the data results, and then interpret them in the discussion. Oh and don’t forget the bibliography. Simple!

Oh contraire. Many manuscripts grow and then end up splitting into two or more, or you add a collaborative project on after the fact using the samples you’ve already collected. Sometimes you just say “let’s test these and see what happens”, and you don’t have a specific hypothesis except for “it could be cool”. Moreover, when you work in a very novel, difficult, unpopular, or boring field, there often isn’t a lot of previous research for you to read up on.  It makes it more challenging to write what should be the easiest section, the Introduction, because you don’t have much background to introduce.  While this does justify your work and the need for more research, it also makes it difficult to plan an experiment because you don’t know what outcomes or problems will crop up, and it can make your interpretation of the data problematic.

Methods: probably the worst section.

Sometimes you end up with more or less data than you planned. And most often, you didn’t just use commercial kit instructionDSCN1272s, you probably had to piece together methods from two to ten different journal articles, many of which were not verbosely described to maintain a sort of proprietary hold on the procedures, until you end up with a heavily-citationed Frankenstein’s monster of a Methods section. Not to mention that you probably had to mess around with procedures to find just the right settings on your equipment, so you have to go back through your lab notebook and try to tease apart what you did months or years ago. My suggestion: write the Methods while you are running the experiment. Whenever you finish a procedure that worked, type it up, especially if you are stuck waiting for something to process or grow anyway.

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In 2015, I worked on the DNA sequencing section of a project that had begun four years earlier when the original animal feeding trials were run, and which had been sequenced nearly a year prior to my taking over the data. Not only did the original Principal Investigator (PI) have trouble digging up the project files from four years ago, but the technician who had sequenced the data was no longer a member of the lab. Between the two, it was very difficult to track down what had been done, and which sequencing file name corresponded to which sheep sample. Even if you think the project will never be published, TAKE GOOD NOTES. Really specific, legible ones, trust me- you’ll thank me later.

 

Results and Discussion: Let’s be honest, the only two sections anyone actually reads.

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Exopolysaccharide production (white) prevents colonies from being ctained by red dye in the media.

Results is the easiest section to write, but possibly the most difficult to make appealing and understandable to a general scientific audience. Naturally, you need to know how to properly summarize your data and how to graph it. Seems easy: something about means and standard deviations, liberally sprinkle in some p-values…  But in reality, there are lots of ways to statistically validate or measure something, and most of these are minor variations on each other to accommodate slightly different data or situations. Maybe your data has a bell-curve normal distribution like people’s height in North America; maybe it’s heavily skewed to one side, like my preference for maple-frosted donuts over celery. Or you need an ordination plot that takes non-Euclidean distance samples and graphs their relationship to each other by plotting one point, then rotating the axis and plotting another until you’ve plotted all your points. No matter how sophisticated your presentation techniques, if someone can’t look at your graph and the graph summary out of context and understand what you are measuring, you haven’t done your job well. I’ve heard many scientific authors complain that a reviewer demanded changes to the manuscript because they did not under the results or statistical analysis. That can be frustrating, and sometimes it feels like the reviewer is just being obtuse, but as scientific authors it’s our job to properly explain what we did.

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Acid production from different carbohydrates by Streptococcus gallolyticus shown by a pink color change.

The Discussion section is always my favorite, because now you interpret your results into the context of other findings and speculations- in short, you finally get to tell the story of what is happening and why in a more interesting way.

The rest is just details. The Conflict of Interest section is always very interesting. Here you must disclose any conflicts you have, anything from a funding source that paid for your work and may or may not have had input in the experimental design (sometimes commercial companies will contract researchers to do a specific experiment that they more-or-less designed), or that the commercial lab you sent your samples to be tested at has you on the payroll. The Conflict of Interest is usually blank for studies coming out of academic universities, but it’s a good way to track down researchers who might be biased towards or against something.

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You have an acknowledgements section where you can thank personnel that may have assisted you in some small way, someone who you bounced ideas off of in planning and interpretation, someone who gave you samples to work with free of charge. In my case, I most often thanked the hunters who had dutifully collected a jar of rumen (stomach) contents, and sometimes colon contents, from moose while they were field dressing. Or the numerous undergrads that helped feed my newborn lambs five times a day until they were weaned.

Last but not least, the Bibliography or References Cited. Sounds easy enough. But you’d be surprised how pesky it can be. Different journals often want different formatting for your submission, some want authors lists to look like “Last, First; Last, First”, or maybe “Last, F., Last, F.”, or even “Last F, Last F”. Some want years in parentheses, others don’t. Some want issue number, or the journal name to be abbreviated, or a certain part of the reference to be bolded. Trying to reformat 50-100 references for submission to a different journal can be a nightmare. Luckily, there are plenty of citation managers that will create a digital library for your references, and allow you to search for citations while you are writing. Then, you hit “Insert Bibliography” and it numbers or alphabetizes it, and puts them into the desired format. That is, assuming you had put all the correct bibliographic information in. I like Mendeley because I can import references from my web browser; however, on older PDFs sometimes it can’t pick up the info it needs and you have to do it manually. I’ve gotten some interesting inputs for authors’ names when it gets confused.

Manuscript writing can take months, especially with complicated projects or those with many co-authors, as all co-authors need to approve the final version before it can be submitted. Once submitted, a Journal Editor will send the manuscript out to two or three Journal Reviewers, who are researchers in academia or industry that are in that field of expertise and can opt to volunteer to read and review the article. Nearly always, the authors do not know who the reviewers are, and in many cases the reviewers do not know who the authors are, although it is helpful for reviewers to see the authors’ names. If they have a conflict of interest with the author, such as they  don’t get along personally, they might be married, or they are currently working on another project together (anything that might bias them for or against), the reviewers are supposed to decline to review. Reviewers have two to four weeks, depending on the journal, but some will submit their reviews late. The Editor considers all the reviews and makes their final decision to accept as is, accept with minor revisions, accept with major revisions, decline with major revisions (authors may edit and submit a new manuscript for consideration), or decline.  It takes a few weeks to find reviewers, several more to get the revisions in, and another one or two for the editor to make a decision, so this can take anywhere from six weeks to four months.

Often journals will decline without reviewing if they are not interested in the subject material or feel it is outside the scope of the journal. If you have revisions, some journals request that you submit two new versions of the manuscript- one with the changes highlighted. Additionally, you need to address each reviewer comment by explaining what you did. For spelling mistakes, this is as simple as writing “corrected” after the comment. For more complex things, you need to explain the change along with quoting the new text, or explain why you aren’t changing things. If the Editor and Reviewers do not feel that you made all the changes, they may reject the re-submission or send you more edits. Usually they send you more edits that they didn’t notice the first time.

Eventually, a journal might accept your manuscript, and then you only have to approve the author proofs – unless your figures don’t have 18746_603831005730_3060064_na high enough resolution, and then you need to remake them or figure out how to increase your dpi.  Typically it takes between six months to a year to complete the whole peer-review process, depending on the study results and the journal’s internal process.

While tedious and arduous, the manuscript peer-reviewing procedure works very well. Experts in your field can assess the validity of your work, and experts in related fields can give you an outside perspective, especially when you have gotten used to using a very specific jargon or not completely explaining things. Most importantly, it improves the quality of the writing and presentation, and it maintains a standard of integrity and excellence. By the end of the submission process, you are dizzy and you want to get off the ride. But by the time you get through the next project, or eat a soft pretzel, you’ll be ready to climb back on that carousel horse.

Sue wearing a paper hat shaped like a turkey.

Improving a child’s life is as easy as wearing a paper turkey-hat.

Encouraging girls to go into STEM fields is really important; studies show that female STEM high-school teachers and even online mentors increase the probability of female students following a STEM education.  Moreover, any child benefits academically and psychologically from having positive role models in their life, especially when they were role models that they interacted with as opposed to celebrity role models.  And the benefits don’t just extend to children, adults benefit from positive role models, too.  Certainly I have benefited from strong female role models in my life, from high school art teachers, to undergraduate lecturers, to family (happy birthday, Mom!).

This past fall I started putting my money where my mouth was- I started mentoring an elementary school-aged girl in Bozeman, MT through the Thrive Child Advancement Project (CAP).  So far, we have mostly been making art projects and talking about archaeology.  But we have been talking about trying to learn the Java programming language together!

There are lots of opportunities to mentor kids, either through CAP programs, Big Brother/Big Sister, Girls and Boy Scouts, etc., just a quick internet search brings up dozens of local options.  For less of a time commitment, you can also volunteer for community workshops, like the Girls for a Change summit in Bozeman or the Girls-n-Science in Billings.

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A rose by any other name doesn’t show up in search results

The convention of changing your last name from your family name to your husband’s last name after marriage is still overwhelmingly popular.  Several surveys estimate that 65% of US women still opt to change it, and it is something that is actually more popular now than in the late 1990s.  There are also persistent perceptions about women who do take their husbands last name being less competent, and they end up making lower salaries.  This debate takes on an extra dimension, though, when your last name will be tied to intellectual property, like works of art, music, publications, or businesses.

There are lots of reasons to change your name, and just as many to keep it.  In 2008, I changed from my family name to my husband’s last name.  At the time, I had graduated with a baccalaureate under my family name, and while I was intending to go to graduate school I had not yet published anything.  My married name was shorter and easier to spell than my famly name, which I’d had to spell all the time growing up, so at the very least I thought it would save time when talking to customer service personnel. Seriously, on one phone call I made, the customer service employee thought I was spelling my name with 3 L’s in a row (is there any last name with a triple L??).  I considered that I might have to keep my married name once I’d published even if I divorced, but at the time I was not attached to any last name, and did not think I would have any strong emotions tied one or the other, while taking his name meant a lot to my husband.

In 2014, when I divorced, I reconsidered my position.  For one thing, I was just about to graduate with a doctorate, I had several publications under Ishaq, and colleagues knew me that way.  For another, and this was a big one, it would make it harder to associate all of my materials, even online.  I would essentially be reinventing my professional self, at least for several years until the name change had permeated.  While some sites are dedicated to getting around this, however, you can still expect your h-index to be incorrectly low as your publications don’t compile.

At first, I made the decision to keep my married name, and over the course of a year realized that I did have strong emotions tied to my last name and my identity, such that I changed it.  Staying with my family name from the beginning would have certainly made things simpler.  All of my degrees, publications, professional self, and personal self would have been tied to a single name that predated my married life.  It would have saved me A LOT of paperwork, as well.  It’s fairly easy to change your name when you get married.  When you divorce; however, you may have to prove that you are allowed to return to your family name, as many states include that as a stipulation of the proceedings.  My ex-husband had to sign off giving me permission to return to my family name.  I had to include my divorce papers with every request to change my name at the social security office, and on credit cards, bank accounts, passports, insurance accounts, loan, etc.

I didn’t return to my family name, instead I legally became a new combination and continued to publish as Suzanne Lynn Ishaq.  This makes things awkward, because MSU, grant funding agencies, and many scientific societies require and use my legal name, and list me in directories that way.  Thus, I still have the problem of having two professional identities.  And now I have the additional burden of having to explain my situation to clarify my different monikers to new colleagues that have never known me to be married.  To be clear, this isn’t a rant, a pitch, or a warning.  Just something to consider.  I don’t have any advice for this one, except to think it through.

Happy 1 year dissertation defense anniversary!

A year ago today I gave the public defense of my PhD dissertation!  It was a stressful day, especially because my laptop crashed just 10 minutes beforehand while I was practicing and making last minute adjustments!  Luckily, I had prepared by bringing the presentation on a flash drive, and by putting it on an online cloud drive as well.  My parents brought enough potato salad, cookies, cake, and Italian meatballs to feed the dozens of attendees and then some.  I really appreciated the friends and family that showed up to support me, some had even driven to Burlington, VT from Massachusetts just for me!  You can watch my full defense presentation on YouTube.

After a long hour of presenting my work and answering questions from the crowd, my graduate committee and I left for the closed-door portion.  For the next two and a half grueling hours, 5 field-leading researchers asked me questions about everything I had done, and what I might have done differently.  Finally, they asked me to step into the hallway while they made their final deliberations, where I nervously ate cookies as fast as I could because I hadn’t eaten in hours.  They came back out 5 minutes later smiling, and announced that I had passed!  You can read my full thesis here.