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Pribbenow CM, Harrington D, Rele CP, Sandlin KM, Leung W, Lopatto D, Reed LK. Accessible support at a national scale: the use and value of virtual learning assistants across multiple undergraduate institutions. JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATION 2025; 26:e0017024. [PMID: 39932321 PMCID: PMC12020784 DOI: 10.1128/jmbe.00170-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Accepted: 01/20/2025] [Indexed: 04/25/2025]
Abstract
The Genomics Education Partnership (GEP; thegep.org) is a collaboration of more than 260 faculty from over 200 colleges and universities across the continental United States and Puerto Rico, all of whom are engaged in bringing Course-based Undergraduate Research Experiences (CUREs) centered in genomics and bioinformatics to their students. The purpose of the GEP-CURE is to ensure all undergraduate students have access to research experiences in genomics, regardless of the funding and resources available at their institutions. The GEP community provides many resources to facilitate implementation of the genomics curriculum at collaborating institutions, including extensive support for both faculty and undergraduate students. Faculty receive training to implement the curriculum, ongoing professional development, access to updated curriculum, and a community of practitioners. During the COVID-19 pandemic, the GEP developed a virtual learning assistant (LA) program to provide real-time support in GEP activities and research to all students, regardless of their institution, while they were participating in the GEP-CURE. A mixed-methods descriptive study was conducted about this program and draws from quantitative data gathered about the scope and use of the program, as well as the value of the program, as indicated by the undergraduates themselves from their post-course survey responses. Additionally, seven LAs who served in this role between 2021 and 2023 participated in interviews to help the GEP better understand how this resource was used by GEP students, the needs of the students, and to identify the conditions in which this resource could be replicated in other courses.
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Affiliation(s)
| | | | | | | | - Wilson Leung
- Washington University in St. Louis, St. Louis, Missouri, USA
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2
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Reed LK, Kleinschmit AJ, Buonaccorsi V, Hunt AG, Chalker D, Williams J, Jones CJ, Martinez-Cruzado JC, Rosenwald A. A genomics learning framework for undergraduates. PLoS One 2025; 20:e0313124. [PMID: 39787200 PMCID: PMC11717232 DOI: 10.1371/journal.pone.0313124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 10/20/2024] [Indexed: 01/12/2025] Open
Abstract
Genomics is an increasingly important part of biology research. However, educating undergraduates in genomics is not yet a standard part of life sciences curricula. We believe this is, in part, due to a lack of standard concepts for the teaching of genomics. To address this deficit, the members of the Genomics Education Alliance created a set of genomics concepts that was then further refined by input from a community of undergraduate educators who engage in genomics instruction. The final genomics concepts list was compared to existing learning frameworks, including the Vision and Change initiative (V&C), as well as ones for genetics, biochemistry and molecular biology, and bioinformatics. Our results demonstrate that the new genomics framework fills a niche not addressed by previous inventories. This new framework should be useful to educators seeking to design stand-alone courses in genomics as well as those seeking to incorporate genomics into existing coursework. Future work will involve designing curriculum and assessments to go along with this genomics learning framework.
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Affiliation(s)
- Laura K. Reed
- Department of Biology, University of Alabama, Tuscaloosa, Alabama, United States of America
| | - Adam J. Kleinschmit
- Department of Natural and Applied Sciences, University of Dubuque, Dubuque, Iowa, United States of America
| | - Vincent Buonaccorsi
- Department of Biology, Juniata College, Huntingdon, Pennsylvania, United States of America
| | - Arthur G. Hunt
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, Kentucky, United States of America
| | - Douglas Chalker
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, United States of America
| | - Jason Williams
- DNA Learning Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Christopher J. Jones
- Department of Biological Sciences, Moravian University, Bethlehem, Pennsylvania, United States of America
| | | | - Anne Rosenwald
- Department of Biology, Georgetown University, Washington, DC, United States of America
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3
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Jakab M, Kittl E, Kiesslich T. How many authors are (too) many? A retrospective, descriptive analysis of authorship in biomedical publications. Scientometrics 2024; 129:1299-1328. [DOI: 10.1007/s11192-024-04928-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 12/27/2023] [Indexed: 01/03/2025]
Abstract
AbstractPublishing in academic journals is primary to disseminate research findings, with authorship reflecting a scientist’s contribution, yielding academic recognition, and carrying significant financial implications. Author numbers per article have consistently risen in recent decades, as demonstrated in various journals and fields. This study is a comprehensive analysis of authorship trends in biomedical papers from the NCBI PubMed database between 2000 and 2020, utilizing the Entrez Direct (EDirect) E-utilities to retrieve bibliometric data from a dataset of 17,015,001 articles. For all publication types, the mean author number per publication significantly increased over the last two decades from 3.99 to 6.25 (+ 57%, p < 0.0001) following a linear trend (r2 = 0.99) with an average relative increase of 2.28% per year. This increase was highest for clinical trials (+ 5.67 authors per publication, + 97%), the smallest for case reports (+ 1.01 authors, + 24%). The proportion of single/solo authorships dropped by a factor of about 3 from 17.03% in 2000 to 5.69% in 2020. The percentage of eleven or more authors per publication increased ~ sevenfold, ~ 11-fold and ~ 12-fold for reviews, editorials, and systematic reviews, respectively. Confirming prior findings, this study highlights the escalating authorship in biomedical publications. Given potential unethical practices, preserving authorship as a trustable indicator of scientific performance is critical. Understanding and curbing questionable authorship practices and inflation are imperative, as discussed through relevant literature to tackle this issue.
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Merkle JA, Devergne O, Kelly SM, Croonquist PA, Evans CJ, Hwalek MA, Straub VL, Hamill DR, Peister A, Puthoff DP, Saville KJ, Siders JL, Villanueva Gonzalez ZJ, Wittke-Thompson JK, Bieser KL, Stamm J, Vrailas-Mortimer AD, Kagey JD. Fly-CURE, a multi-institutional CURE using Drosophila, increases students' confidence, sense of belonging, and persistence in research. JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATION 2023; 24:e00245-22. [PMID: 38107988 PMCID: PMC10720528 DOI: 10.1128/jmbe.00245-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 07/13/2023] [Indexed: 12/19/2023]
Abstract
The Fly-CURE is a genetics-focused multi-institutional Course-Based Undergraduate Research Experience (CURE) that provides undergraduate students with hands-on research experiences within a course. Through the Fly-CURE, undergraduate students at diverse types of higher education institutions across the United States map and characterize novel mutants isolated from a genetic screen in Drosophila melanogaster. To date, more than 20 mutants have been studied across 20 institutions, and our scientific data have led to eleven publications with more than 500 students as authors. To evaluate the impact of the Fly-CURE experience on students, we developed and validated assessment tools to identify students' perceived research self-efficacy, sense of belonging in science, and intent to pursue additional research opportunities. Our data, collected over three academic years and involving 14 institutions and 480 students, show gains in these metrics after completion of the Fly-CURE across all student subgroups analyzed, including comparisons of gender, academic status, racial and ethnic groups, and parents' educational background. Importantly, our data also show differential gains in the areas of self-efficacy and interest in seeking additional research opportunities between Fly-CURE students with and without prior research experience, illustrating the positive impact of research exposure (dosage) on student outcomes. Altogether, our data indicate that the Fly-CURE experience has a significant impact on students' efficacy with research methods, sense of belonging to the scientific research community, and interest in pursuing additional research experiences.
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Affiliation(s)
| | | | | | | | - Cory J. Evans
- Loyola Marymount University, Los Angeles, California, USA
| | | | | | | | | | | | | | | | | | | | | | - Joyce Stamm
- University of Evansville, Evansville, Indiana, USA
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5
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Lopatto D, Silver Key SC, Van Stry M, Siders J, Leung W, Sandlin KM, Rele CP, Reed LK. Supporting the democratization of science during a pandemic: genomics Course-based Undergraduate Research Experiences (CUREs) as an effective remote learning strategy. JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATION 2023; 24:e00039-23. [PMID: 38230306 PMCID: PMC10790580 DOI: 10.1128/jmbe.00039-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
The initial phase of the COVID-19 pandemic changed the nature of course delivery from largely in-person to exclusively remote, thus disrupting the well-established pedagogy of the Genomics Education Partnership (GEP; https://www.thegep.org). However, our web-based research adapted well to the remote learning environment. As usual, students who engaged in the GEP's Course-based Undergraduate Research Experience (CURE) received digital projects based on genetic information within assembled Drosophila genomes. Adaptations for remote implementation included moving new member faculty training and peer Teaching Assistant office hours from in-person to online. Surprisingly, our faculty membership significantly increased and, hence, the number of supported students. Furthermore, despite the mostly virtual instruction of the 2020-2021 academic year, there was no significant decline in student learning nor attitudes. Based on successfully expanding the GEP CURE within a virtual learning environment, we provide four strategic lessons we infer toward democratizing science education. First, it appears that increasing access to scientific research and professional development opportunities by supporting virtual, cost-free attendance at national conferences attracts more faculty members to educational initiatives. Second, we observed that transitioning new member training to an online platform removed geographical barriers, reducing time and travel demands, and increased access for diverse faculty to join. Third, developing a Virtual Teaching Assistant program increased the availability of peer support, thereby improving the opportunities for student success. Finally, increasing access to web-based technology is critical for providing equitable opportunities for marginalized students to fully participate in research courses. Online CUREs have great potential for democratizing science education.
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Affiliation(s)
- David Lopatto
- Center for Teaching, Learning and Assessment, Grinnell College, Grinnell, Iowa, USA
| | - S. Catherine Silver Key
- Biological and Biomedical Sciences Department, North Carolina Central University, Durham, North Carolina, USA
| | | | - Jamie Siders
- Department of Biological & Allied Health Sciences, Ohio Northern University, Ada, Ohio, USA
| | - Wilson Leung
- Department of Biology, Washington University, St. Louis, Missouri, USA
| | - Katie M. Sandlin
- Department of Biological Sciences, University of Alabama at Tuscaloosa, Tuscaloosa, Alabama, USA
| | - Chinmay P. Rele
- Department of Biological Sciences, University of Alabama at Tuscaloosa, Tuscaloosa, Alabama, USA
| | - The Genomics Education PartnershipHare-HarrisAbby E.HabermanAdamKleinschmitAdam J.YuAlderSawaAlexaNagengastAlexisHowardAlishaAlmaEEstradaRodriguezHarkAmy T.AlmeidaAnaArshamAndrew M.CorsiAnn K.AllenAnna K.AragonAnthony D.SreenivasanAparnaYowlerBrianHowellCarina E.ReinkeCatherineMcKennaChelsey C.FleetChristine M.JonesChristopher J.ArrigoCindyWolfeCindyUhde-StoneClaudiaBarnardDaronDon PaetkauEnrique Rodriguez-BorreroMerkhoferEvanMellgrenEve M.Safadi-ChamberlainFaridaFindlayGeoffrey D.McNeilGerardBretscherHeidi S.UllahHemayetMistryHemlataHoward XuH.BoseIndraniVincentJackKageyJacob D.Wittke-ThompsonJacqueline K.BedardJames E. J.GoddeJames S.PriceJames V.DyerJamie O.Roecklein-CanfieldJennifer A.JemcJenniferKennellJenniferGillardJeroenBravermanJohn M.StangaJohn P.StammJoyceMartínez-CruzadoJuan C.LeathermanJudithDiAngeloJustin R.ThackerayJustinSchmeichelKaren L.TeeterKatherine C.BieserKaylaAgrimsonKellie S.SavilleKennethPaliulisLeocadiaLongLindsey J.KadlecLisaLogan JohnsonM.SustacekMaire K.SantistebanMariaMontes-MatiasMarieBurgMartin G.SmithMary Ann V.SkerrittMatthewWawersikMatthewYangMelinda A.RubinMichael R.EllerMicheleHall-WoodsMonica L.MinkovskyNatalieVelmeshevNicole SalazarKokanNighat P.TsotakosNikolaosVelazquez-UlloaNormaCroonquistPaulaGlaserRivka L.DrewellRobert A.ElginSarah C. R.JusticeSarahTannerScottPageShallee T.FungSiaumin
- Center for Teaching, Learning and Assessment, Grinnell College, Grinnell, Iowa, USA
- Biological and Biomedical Sciences Department, North Carolina Central University, Durham, North Carolina, USA
- Department of Biology, Lane College, Jackson, Tennessee, USA
- Department of Biological & Allied Health Sciences, Ohio Northern University, Ada, Ohio, USA
- Department of Biology, Washington University, St. Louis, Missouri, USA
- Department of Biological Sciences, University of Alabama at Tuscaloosa, Tuscaloosa, Alabama, USA
| | - Laura K. Reed
- Department of Biological Sciences, University of Alabama at Tuscaloosa, Tuscaloosa, Alabama, USA
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Lasne C, Elkrewi M, Toups MA, Layana L, Macon A, Vicoso B. The Scorpionfly (Panorpa cognata) Genome Highlights Conserved and Derived Features of the Peculiar Dipteran X Chromosome. Mol Biol Evol 2023; 40:msad245. [PMID: 37988296 PMCID: PMC10715201 DOI: 10.1093/molbev/msad245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/05/2023] [Accepted: 11/07/2023] [Indexed: 11/23/2023] Open
Abstract
Many insects carry an ancient X chromosome-the Drosophila Muller element F-that likely predates their origin. Interestingly, the X has undergone turnover in multiple fly species (Diptera) after being conserved for more than 450 My. The long evolutionary distance between Diptera and other sequenced insect clades makes it difficult to infer what could have contributed to this sudden increase in rate of turnover. Here, we produce the first genome and transcriptome of a long overlooked sister-order to Diptera: Mecoptera. We compare the scorpionfly Panorpa cognata X-chromosome gene content, expression, and structure to that of several dipteran species as well as more distantly related insect orders (Orthoptera and Blattodea). We find high conservation of gene content between the mecopteran X and the dipteran Muller F element, as well as several shared biological features, such as the presence of dosage compensation and a low amount of genetic diversity, consistent with a low recombination rate. However, the 2 homologous X chromosomes differ strikingly in their size and number of genes they carry. Our results therefore support a common ancestry of the mecopteran and ancestral dipteran X chromosomes, and suggest that Muller element F shrank in size and gene content after the split of Diptera and Mecoptera, which may have contributed to its turnover in dipteran insects.
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Affiliation(s)
- Clementine Lasne
- Institute of Science and Technology Austria, Klosterneuburg, Austria
| | - Marwan Elkrewi
- Institute of Science and Technology Austria, Klosterneuburg, Austria
| | - Melissa A Toups
- Department of Life and Environmental Sciences, Bournemouth University, Poole, UK
| | - Lorena Layana
- Institute of Science and Technology Austria, Klosterneuburg, Austria
| | - Ariana Macon
- Institute of Science and Technology Austria, Klosterneuburg, Austria
| | - Beatriz Vicoso
- Institute of Science and Technology Austria, Klosterneuburg, Austria
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7
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Rele CP, Sandlin KM, Leung W, Reed LK. Manual annotation of Drosophila genes: a Genomics Education Partnership protocol. F1000Res 2023; 11:1579. [PMID: 37854289 PMCID: PMC10579860 DOI: 10.12688/f1000research.126839.2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/26/2023] [Indexed: 12/10/2024] Open
Abstract
Annotating the genomes of multiple species allows us to analyze the evolution of their genes. While many eukaryotic genome assemblies already include computational gene predictions, these predictions can benefit from review and refinement through manual gene annotation. The Genomics Education Partnership (GEP; https://thegep.org/) developed a structural annotation protocol for protein-coding genes that enables undergraduate student and faculty researchers to create high-quality gene annotations that can be utilized in subsequent scientific investigations. For example, this protocol has been utilized by the GEP faculty to engage undergraduate students in the comparative annotation of genes involved in the insulin signaling pathway in 27 Drosophila species, using D. melanogaster as the reference genome. Students construct gene models using multiple lines of computational and empirical evidence including expression data (e.g., RNA-Seq), sequence similarity (e.g., BLAST and multiple sequence alignment), and computational gene predictions. Quality control measures require each gene be annotated by at least two students working independently, followed by reconciliation of the submitted gene models by a more experienced student. This article provides an overview of the annotation protocol and describes how discrepancies in student submitted gene models are resolved to produce a final, high-quality gene set suitable for subsequent analyses. The protocol can be adapted to other scientific questions (e.g., expansion of the Drosophila Muller F element) and species (e.g., parasitoid wasps) to provide additional opportunities for undergraduate students to participate in genomics research. These student annotation efforts can substantially improve the quality of gene annotations in publicly available genomic databases.
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Affiliation(s)
- Chinmay P. Rele
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama, 35487, USA
| | - Katie M. Sandlin
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama, 35487, USA
| | - Wilson Leung
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, 63130, USA
| | - Laura K. Reed
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama, 35487, USA
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8
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Rele CP, Sandlin KM, Leung W, Reed LK. Manual annotation of Drosophila genes: a Genomics Education Partnership protocol. F1000Res 2023; 11:1579. [PMID: 37854289 PMCID: PMC10579860 DOI: 10.12688/f1000research.126839.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/26/2023] [Indexed: 10/20/2023] Open
Abstract
Annotating the genomes of multiple species allows us to analyze the evolution of their genes. While many eukaryotic genome assemblies already include computational gene predictions, these predictions can benefit from review and refinement through manual gene annotation. The Genomics Education Partnership (GEP; https://thegep.org/) developed a structural annotation protocol for protein-coding genes that enables undergraduate student and faculty researchers to create high-quality gene annotations that can be utilized in subsequent scientific investigations. For example, this protocol has been utilized by the GEP faculty to engage undergraduate students in the comparative annotation of genes involved in the insulin signaling pathway in 27 Drosophila species, using D. melanogaster as the reference genome. Students construct gene models using multiple lines of computational and empirical evidence including expression data (e.g., RNA-Seq), sequence similarity (e.g., BLAST and multiple sequence alignment), and computational gene predictions. Quality control measures require each gene be annotated by at least two students working independently, followed by reconciliation of the submitted gene models by a more experienced student. This article provides an overview of the annotation protocol and describes how discrepancies in student submitted gene models are resolved to produce a final, high-quality gene set suitable for subsequent analyses. The protocol can be adapted to other scientific questions (e.g., expansion of the Drosophila Muller F element) and species (e.g., parasitoid wasps) to provide additional opportunities for undergraduate students to participate in genomics research. These student annotation efforts can substantially improve the quality of gene annotations in publicly available genomic databases.
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Affiliation(s)
- Chinmay P. Rele
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama, 35487, USA
| | - Katie M. Sandlin
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama, 35487, USA
| | - Wilson Leung
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, 63130, USA
| | - Laura K. Reed
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, Alabama, 35487, USA
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9
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Croonquist P, Falkenberg V, Minkovsky N, Sawa A, Skerritt M, Sustacek MK, Diotti R, Aragon AD, Mans T, Sherr GL, Ward C, Hall-Woods M, Goodman AL, Reed LK, Lopatto D. The Genomics Education Partnership: First findings on genomics research in community colleges. SCHOLARSHIP AND PRACTICE OF UNDERGRADUATE RESEARCH 2023; 6:17-28. [PMID: 37731515 PMCID: PMC10508916 DOI: 10.18833/spur/6/3/1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
The Genomics Education Partnership (GEP), a consortium of diverse colleges/universities, provides support for integrating genomics research into undergraduate curricula. To increase research opportunities for underrepresented students, GEP is expanding to more community colleges (CC). Genomics research, requiring only a computer with internet access, may be particularly accessible for 2-year institutions with limited research capacity and significant budget constraints. To understand how GEP supports student research at CCs, we analyzed student knowledge and self-reported outcomes. We found that CC student gains are comparable to non-CC student gains, with improvements in attitudes toward science and thriving in science. Our early findings suggest that the GEP model of centralized support with flexible CURE implementation benefits CC students and may help mitigate barriers to implementing research at CCs.
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Affiliation(s)
| | - Virginia Falkenberg
- Life and Earth Sciences, Perimeter College, Clarkston campus at Georgia State University, Clarkston, GA 30338
| | | | - Alexa Sawa
- Science, College of the Desert, Palm Desert, CA, 92260
| | | | - Maire Kate Sustacek
- Biology, Minneapolis Community and Technical College, Minneapolis, MN, 55455
| | | | - Anthony D. Aragon
- Math and Science, Dodge City Community College, Dodge City, KS, 67801)
| | - Tamara Mans
- Biology, North Hennepin Community College, Brooklyn Park, MN, 55445)
| | - Goldie L. Sherr
- Biological Sciences, Bronx Community College, Bronx, NY, 10453
| | - Catherine Ward
- Science Department, Durham Technical Community College, Durham, NC, 27703
| | | | - Anya L. Goodman
- Chemistry and Biochemistry, California Polytechnic State University, San Luis Obispo, CA, 9340
| | - Laura K. Reed
- Biological Sciences, University of Alabama, Tuscaloosa, AL, 35487)
| | - David Lopatto
- Psychology Department, Grinnell College, Grinnell, IA, 50112)
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10
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Frankham R. Effects of genomic homozygosity on total fitness in an invertebrate: lethal equivalent estimates for Drosophila melanogaster. CONSERV GENET 2022. [DOI: 10.1007/s10592-022-01493-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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11
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Bennett EN, Page ST. An undergraduate genome research course using "big data". BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION : A BIMONTHLY PUBLICATION OF THE INTERNATIONAL UNION OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 2022; 50:450-452. [PMID: 35809004 PMCID: PMC10458672 DOI: 10.1002/bmb.21647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 02/25/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
The ability to analyze large data sets ("Big Data") is an increasingly important skill in modern science. In Biochemistry, the increased volume and velocity of data is particularly evident in the rapid expansion of biological databases. We present a modular bioinformatics course to survey the analysis of genomic data for advanced undergraduates. Research activities include genome scanning for endogenous retroviruses, annotating genomic sequences and a brief exploration of programming in R. A summative poster session was used to disseminate their work. This course is amenable to remote or online instruction. Supplemental materials provided include a schedule and outline. This article reports a session from the virtual international 2021 IUBMB/ASBMB workshop, "Teaching Science on Big Data."
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Affiliation(s)
- Evan N Bennett
- College of Health and Natural Sciences, Franklin Pierce University, Rindge, New Hampshire, USA
| | - Shallee T Page
- College of Health and Natural Sciences, Franklin Pierce University, Rindge, New Hampshire, USA
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12
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Lopatto D, Rosenwald AG, Burgess RC, Silver Key C, Van Stry M, Wawersik M, DiAngelo JR, Hark AT, Skerritt M, Allen AK, Alvarez C, Anderson S, Arrigo C, Arsham A, Barnard D, Bedard JEJ, Bose I, Braverman JM, Burg MG, Croonquist P, Du C, Dubowsky S, Eisler H, Escobar MA, Foulk M, Giarla T, Glaser RL, Goodman AL, Gosser Y, Haberman A, Hauser C, Hays S, Howell CE, Jemc J, Jones CJ, Kadlec L, Kagey JD, Keller KL, Kennell J, Kleinschmit AJ, Kleinschmit M, Kokan NP, Kopp OR, Laakso MM, Leatherman J, Long LJ, Manier M, Martinez-Cruzado JC, Matos LF, McClellan AJ, McNeil G, Merkhofer E, Mingo V, Mistry H, Mitchell E, Mortimer NT, Myka JL, Nagengast A, Overvoorde P, Paetkau D, Paliulis L, Parrish S, Toering Peters S, Preuss ML, Price JV, Pullen NA, Reinke C, Revie D, Robic S, Roecklein-Canfield JA, Rubin MR, Sadikot T, Sanford JS, Santisteban M, Saville K, Schroeder S, Shaffer CD, Sharif KA, Sklensky DE, Small C, Smith S, Spokony R, Sreenivasan A, Stamm J, Sterne-Marr R, Teeter KC, Thackeray J, Thompson JS, Velazquez-Ulloa N, Wolfe C, Youngblom J, Yowler B, Zhou L, Brennan J, Buhler J, Leung W, Elgin SCR, Reed LK. Student Attitudes Contribute to the Effectiveness of a Genomics CURE. JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATION 2022; 23:e00208-21. [PMID: 36061313 PMCID: PMC9429879 DOI: 10.1128/jmbe.00208-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 03/28/2022] [Indexed: 06/15/2023]
Abstract
The Genomics Education Partnership (GEP) engages students in a course-based undergraduate research experience (CURE). To better understand the student attributes that support success in this CURE, we asked students about their attitudes using previously published scales that measure epistemic beliefs about work and science, interest in science, and grit. We found, in general, that the attitudes students bring with them into the classroom contribute to two outcome measures, namely, learning as assessed by a pre- and postquiz and perceived self-reported benefits. While the GEP CURE produces positive outcomes overall, the students with more positive attitudes toward science, particularly with respect to epistemic beliefs, showed greater gains. The findings indicate the importance of a student's epistemic beliefs to achieving positive learning outcomes.
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Affiliation(s)
- David Lopatto
- Center for Teaching, Learning and Assessment, Grinnell College, Grinnell, Iowa, USA
| | | | - Rebecca C. Burgess
- Department of Biological Sciences, Stevenson University, Owings Mills, Maryland, USA
| | - Catherine Silver Key
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, North Carolina, USA
| | | | - Matthew Wawersik
- Department of Biology, College of William and Mary, Williamsburg, Virginia, USA
| | | | - Amy T. Hark
- Department of Biology, Muhlenberg College, Allentown, Pennsylvania, USA
| | - Matthew Skerritt
- Department of Science, SUNY Corning Community College, Corning, New York, USA
| | - Anna K. Allen
- Department of Biology, Howard University, Washington, DC, USA
| | - Consuelo Alvarez
- Department of Biology, Longwood University, Farmville, Virginia, USA
| | - Sara Anderson
- Department of Biosciences, Minnesota State University Moorhead, Moorhead, Minnesota, USA
| | - Cindy Arrigo
- Department of Biology, New Jersey City University, Jersey City, New Jersey, USA
| | - Andrew Arsham
- Department of Biology, Bemidji State University, Bemidji, Minnesota, USA
| | - Daron Barnard
- Department of Biology, Worcester State University, Worcester, Massachusetts, USA
| | - James E. J. Bedard
- Department of Biology, University of the Fraser Valley, Abbotsford, British Columbia, Canada
| | - Indrani Bose
- Department of Biology, Western Carolina University, Cullowhee, North Carolina, USA
| | - John M. Braverman
- Department of Biology, Saint Joseph’s University, Philadelphia, Pennsylvania, USA
| | - Martin G. Burg
- Department of Biomedical Sciences, Grand Valley State University, Allendale, Michigan, USA
- Department of Cell & Molecular Biology, Grand Valley State University, Allendale, Michigan, USA
| | - Paula Croonquist
- Department of Biology, Anoka-Ramsey Community College, Coon Rapids, Minnesota, USA
| | - Chunguang Du
- Department of Biology, Montclair State University, Montclair, New Jersey, USA
| | - Sondra Dubowsky
- Department of Biology, McLennan Community College, Waco, Texas, USA
| | - Heather Eisler
- Department of Biology, University of the Cumberlands, Williamsburg, Kentucky, USA
| | - Matthew A. Escobar
- Department of Biological Sciences, California State University San Marcos, San Marcos, California, USA
| | - Michael Foulk
- Department of Biology, Mercyhurst University, Erie, Pennsylvania, USA
| | - Thomas Giarla
- Department of Biology, Siena College, Loudonville, New York, USA
| | - Rivka L. Glaser
- Department of Biological Sciences, Stevenson University, Owings Mills, Maryland, USA
| | - Anya L. Goodman
- Department of Chemistry and Biochemistry, California Polytechnic State University, San Luis Obispo, California, USA
| | - Yuying Gosser
- Student Research and Scholarship, City College CUNY, New York, New York, USA
| | - Adam Haberman
- Department of Biology, University of San Diego, San Diego, California, USA
| | - Charles Hauser
- Department of Biology, St. Edward’s University, Austin, Texas, USA
| | - Shan Hays
- Department of Biology, Western Colorado University, Gunnison, Colorado, USA
| | - Carina E. Howell
- Department of Biological Sciences, Lock Haven University, Lock Haven, Pennsylvania, USA
| | - Jennifer Jemc
- Department of Biology, Loyola University Chicago, Chicago, Illinois, USA
| | - Christopher J. Jones
- Department of Biological Sciences, Moravian University, Bethlehem, Pennsylvania, USA
| | - Lisa Kadlec
- Department of Biology, Wilkes University, Wilkes-Barre, Pennsylvania, USA
| | - Jacob D. Kagey
- Department of Biology, University of Detroit Mercy, Detroit, Michigan, USA
| | | | - Jennifer Kennell
- Department of Biology, Vassar College, Poughkeepsie, New York, USA
| | | | - Melissa Kleinschmit
- Department of Liberal Arts, Science, and Business, Northeast Iowa Community College, Peosta, Iowa, USA
| | - Nighat P. Kokan
- Department of Natural Sciences, Cardinal Stritch University, Milwaukee, Wisconsin, USA
| | - Olga Ruiz Kopp
- Department of Biology, Utah Valley University, Orem, Utah, USA
| | - Meg M. Laakso
- Department of Biology, Eastern University, St. Davids, Pennsylvania, USA
| | - Judith Leatherman
- Department of Biological Sciences, University of Northern Colorado, Greeley, Colorado, USA
| | - Lindsey J. Long
- Department of Biology, Oklahoma Christian University, Oklahoma City, Oklahoma, USA
| | - Mollie Manier
- Department of Biological Sciences, George Washington University, Washington, DC, USA
| | | | - Luis F. Matos
- Department of Biology, Eastern Washington University, Cheney, Washington, USA
| | - Amie Jo McClellan
- Science and Mathematics, Bennington College, Bennington, Vermont, USA
| | - Gerard McNeil
- Department of Biology, York College/CUNY, Jamaica, New York, USA
| | - Evan Merkhofer
- Department of Natural Sciences, Mount Saint Mary College, Newburgh, New York, USA
| | - Vida Mingo
- Department of Biology, Columbia College, Columbia, South Carolina, USA
| | - Hemlata Mistry
- Department of Biology, Widener University, Chester, Pennsylvania, USA
- Department of Biochemistry, Widener University, Chester, Pennsylvania, USA
| | | | - Nathan T. Mortimer
- Department of Biological Sciences, Illinois State University, Normal, Illinois, USA
| | - Jennifer Leigh Myka
- Department of Biology, Gateway Community and Technical College, Covington, Kentucky, USA
| | - Alexis Nagengast
- Department of Biochemistry, Widener University, Chester, Pennsylvania, USA
- Department of Chemistry, Widener University, Chester, Pennsylvania, USA
| | - Paul Overvoorde
- Department of Biology, Macalester College, St. Paul, Minnesota, USA
| | - Don Paetkau
- Department of Biology, Saint Mary’s College, Notre Dame, Indiana, USA
| | - Leocadia Paliulis
- Department of Biology, Bucknell University, Lewisburg, Pennsylvania, USA
| | - Susan Parrish
- Department of Biology, McDaniel College, Westminster, Maryland, USA
| | | | - Mary Lai Preuss
- Department of Biological Sciences, Webster University, St. Louis, Missouri, USA
| | - James V. Price
- Department of Biology, Utah Valley University, Orem, Utah, USA
| | - Nicholas A. Pullen
- Department of Biological Sciences, University of Northern Colorado, Greeley, Colorado, USA
| | - Catherine Reinke
- Department of Biology, Linfield University, McMinnville, Oregon, USA
| | - Dennis Revie
- Department of Biology, California Lutheran University, Thousand Oaks, California, USA
| | - Srebrenka Robic
- Department of Biology, Agnes Scott College, Decatur, Georgia, USA
| | | | - Michael R. Rubin
- Department of Biology, University of Puerto Rico at Cayey, Cayey, Puerto Rico, USA
| | - Takrima Sadikot
- Department of Biology, Washburn University, Topeka, Kansas, USA
| | | | - Maria Santisteban
- Department of Biology, University of North Carolina at Pembroke, Pembroke, North Carolina, USA
| | - Kenneth Saville
- Department of Biology, Albion College, Albion, Michigan, USA
| | - Stephanie Schroeder
- Department of Biological Sciences, Webster University, St. Louis, Missouri, USA
| | | | - Karim A. Sharif
- Department of Biology, Massasoit Community College, Brockton, Massachusetts, USA
| | | | - Chiyedza Small
- Department of Biology, Medgar Evers College, CUNY, Brooklyn, New York, USA
| | - Sheryl Smith
- Department of Biology, Arcadia University, Glenside, Pennsylvania, USA
| | - Rebecca Spokony
- Department of Natural Sciences, Baruch College, CUNY, New York, New York, USA
| | - Aparna Sreenivasan
- Department of Biology, School of Natural Sciences, California State University, Monterey Bay, Seaside, California, USA
| | - Joyce Stamm
- Department of Biology, University of Evansville, Evansville, Indiana, USA
| | | | - Katherine C. Teeter
- Department of Biology, Northern Michigan University, Marquette, Michigan, USA
| | - Justin Thackeray
- Department of Biology, Clark University, Worcester, Massachusetts, USA
| | | | | | - Cindy Wolfe
- Department of Biology, Kentucky Wesleyan College, Owensboro, Kentucky, USA
| | - James Youngblom
- Department of Biological Sciences, California State University Stanislaus, Turlock, California, USA
| | - Brian Yowler
- Department of Biology, Geneva College, Beaver Falls, Pennsylvania, USA
| | - Leming Zhou
- Health Information Management, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Janie Brennan
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jeremy Buhler
- Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Wilson Leung
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Sarah C. R. Elgin
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Laura K. Reed
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama, USA
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13
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Tools used to assay genomic instability in cancers and cancer meiomitosis. J Cell Commun Signal 2021; 16:159-177. [PMID: 34841477 DOI: 10.1007/s12079-021-00661-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/21/2021] [Indexed: 10/19/2022] Open
Abstract
Genomic instability is a defining characteristic of cancer and the analysis of DNA damage at the chromosome level is a crucial part of the study of carcinogenesis and genotoxicity. Chromosomal instability (CIN), the most common level of genomic instability in cancers, is defined as the rate of loss or gain of chromosomes through successive divisions. As such, DNA in cancer cells is highly unstable. However, the underlying mechanisms remain elusive. There is a debate as to whether instability succeeds transformation, or if it is a by-product of cancer, and therefore, studying potential molecular and cellular contributors of genomic instability is of high importance. Recent work has suggested an important role for ectopic expression of meiosis genes in driving genomic instability via a process called meiomitosis. Improving understanding of these mechanisms can contribute to the development of targeted therapies that exploit DNA damage and repair mechanisms. Here, we discuss a workflow of novel and established techniques used to assess chromosomal instability as well as the nature of genomic instability such as double strand breaks, micronuclei, and chromatin bridges. For each technique, we discuss their advantages and limitations in a lab setting. Lastly, we provide detailed protocols for the discussed techniques.
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14
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Turner AN, Challa AK, Cooper KM. Student Perceptions of Authoring a Publication Stemming from a Course-Based Undergraduate Research Experience (CURE). CBE LIFE SCIENCES EDUCATION 2021; 20:ar46. [PMID: 34415196 PMCID: PMC8715815 DOI: 10.1187/cbe.21-02-0051] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 07/01/2021] [Accepted: 07/08/2021] [Indexed: 05/23/2023]
Abstract
Course-based undergraduate research experiences (CUREs) engage students in authentic research experiences in a course format and can sometimes result in the publication of that research. However, little is known about student-author perceptions of CURE publications. In this study, we examined how students perceive they benefit from authoring a CURE publication and what they believe is required for authorship of a manuscript in a peer-reviewed journal. All 16 students who were enrolled in a molecular genetics CURE during their first year of college participated in semistructured interviews during their fourth year. At the time of the interviews, students had been authors of a CURE publication for a year and a half. Students reported that they benefited personally and professionally from the publication. Students had varying perceptions of what is required for authorship, but every student thought that writing the manuscript was needed, and only two mentioned needing to approve the final draft. Additionally, we identified incomplete conceptions that students had about CURE publications. This work establishes student-perceived benefits from CURE publications and highlights the need for authorship requirements to be explicitly addressed in CUREs.
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Affiliation(s)
- Ashley N. Turner
- Department of Biology, School of Science, Jacksonville State University, Jacksonville, AL 36265
| | - Anil K. Challa
- Department of Biology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Katelyn M. Cooper
- Research for Inclusive STEM Education Center, School of Life Sciences, Arizona State University, Tempe, AZ 85281
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15
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Morrison O, Thakur J. Molecular Complexes at Euchromatin, Heterochromatin and Centromeric Chromatin. Int J Mol Sci 2021; 22:6922. [PMID: 34203193 PMCID: PMC8268097 DOI: 10.3390/ijms22136922] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 01/19/2023] Open
Abstract
Chromatin consists of a complex of DNA and histone proteins as its core components and plays an important role in both packaging DNA and regulating DNA metabolic pathways such as DNA replication, transcription, recombination, and chromosome segregation. Proper functioning of chromatin further involves a network of interactions among molecular complexes that modify chromatin structure and organization to affect the accessibility of DNA to transcription factors leading to the activation or repression of the transcription of target DNA loci. Based on its structure and compaction state, chromatin is categorized into euchromatin, heterochromatin, and centromeric chromatin. In this review, we discuss distinct chromatin factors and molecular complexes that constitute euchromatin-open chromatin structure associated with active transcription; heterochromatin-less accessible chromatin associated with silencing; centromeric chromatin-the site of spindle binding in chromosome segregation.
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Affiliation(s)
| | - Jitendra Thakur
- Department of Biology, Emory University, 1510 Clifton Rd #2006, Atlanta, GA 30322, USA;
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16
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Yu J, Meng F, He F, Chen F, Bao W, Yu Y, Zhou J, Gao J, Li J, Yao Y, Ge WP, Luo B. Metabolic Abnormalities in Patients with Chronic Disorders of Consciousness. Aging Dis 2021; 12:386-403. [PMID: 33815872 PMCID: PMC7990357 DOI: 10.14336/ad.2020.0812] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 08/12/2020] [Indexed: 12/13/2022] Open
Abstract
The vegetative state (VS) and minimally conscious state (MCS) are two major types of chronic disorders of consciousness (DoC). The assessment of these two consciousness states generally relies on the Coma Recovery Scale-Revised (CRS-R) score, but a high misdiagnosis rate limits the generalized use of this score. To identify metabolites in human plasma that can accurately distinguish VS from MCS patients, comprehensive plasma metabolic profiles were obtained with targeted metabolomics analysis and untargeted and targeted lipidomics analysis. Univariate and multivariate analyses were used to assess the significance of differences. Compared with healthy controls (HCs), the DoC groups, Emerged from Minimally Conscious State (EMCS) group and Alzheimer’s disease (AD) group had significantly different metabolic profiles. Purine metabolism pathway differed the most between the DoC (MCS and VS) and HC groups. In this pathway, adenosine, ADP, and AMP, which are the derived products of ATP degradation, were decreased in the MCS and VS groups compared to healthy controls. More importantly, we identified certain lipids for which the levels were enriched in the VS or MCS groups. Specifically, phosphatidylcholine, (38:5)-H (PC(38:5)-H), and arachidonic acid (AA) differed substantially between the VS and MCS groups and may be used to distinguish these two groups of patients. Together, our findings suggest that metabolic profiling is significantly altered in patients with chronic DoC.
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Affiliation(s)
- Jie Yu
- 1Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Fanxia Meng
- 1Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Fangping He
- 1Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Fei Chen
- 2Children's Research Institute, Department of Neuroscience, University of Texas, Southwestern Medical Center, Dallas, TX 75390, USA
| | - Wangxiao Bao
- 1Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Yamei Yu
- 1Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jintao Zhou
- 1Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jian Gao
- 3Department of Rehabilitation, Hangzhou Hospital of Zhejiang Armed Police Corps, Hangzhou 310051, China
| | - Jingqi Li
- 3Department of Rehabilitation, Hangzhou Hospital of Zhejiang Armed Police Corps, Hangzhou 310051, China
| | - Yao Yao
- 4Department of Pharmaceutical and Biomedical Sciences, University of Georgia, GA 30602, USA
| | - Woo-Ping Ge
- 5Chinese Institute for Brain Research, Beijing 102206, China
| | - Benyan Luo
- 1Department of Neurology and Brain Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
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17
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Petrie KL, Xie R. Resequencing of Microbial Isolates: A Lab Module to Introduce Novices to Command-Line Bioinformatics. Front Microbiol 2021; 12:578859. [PMID: 33796082 PMCID: PMC8008064 DOI: 10.3389/fmicb.2021.578859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 02/16/2021] [Indexed: 11/23/2022] Open
Abstract
Familiarity with genome-scale data and the bioinformatic skills to analyze it have become essential for understanding and advancing modern biology and human health, yet many undergraduate biology majors are never exposed to hands-on bioinformatics. This paper presents a module that introduces students to applied bioinformatic analysis within the context of a research-based microbiology lab course. One of the most commonly used genomic analyses in biology is resequencing: determining the sequence of DNA bases in a derived strain of some organism, and comparing it to the known ancestral genome of that organism to better understand the phenotypic differences between them. Many existing CUREs - Course Based Undergraduate Research Experiences - evolve or select new strains of bacteria and compare them phenotypically to ancestral strains. This paper covers standardized strategies and procedures, accessible to undergraduates, for preparing and analyzing microbial whole-genome resequencing data to examine the genotypic differences between such strains. Wet-lab protocols and computational tutorials are provided, along with additional guidelines for educators, providing instructors without a next-generation sequencing or bioinformatics background the necessary information to incorporate whole-genome sequencing and command-line analysis into their class. This module introduces novice students to running software at the command-line, giving them exposure and familiarity with the types of tools that make up the vast majority of open-source scientific software used in contemporary biology. Completion of the module improves student attitudes toward computing, which may make them more likely to pursue further bioinformatics study.
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Affiliation(s)
- Katherine Lynn Petrie
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, United States
- Earth-Life Science Institute, Tokyo Institute of Technology, Tokyo, Japan
| | - Rujia Xie
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, United States
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18
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A Survey of Transposon Landscapes in the Putative Ancient Asexual Ostracod Darwinula stevensoni. Genes (Basel) 2021; 12:genes12030401. [PMID: 33799706 PMCID: PMC7998251 DOI: 10.3390/genes12030401] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/02/2021] [Accepted: 03/06/2021] [Indexed: 11/17/2022] Open
Abstract
How asexual reproduction shapes transposable element (TE) content and diversity in eukaryotic genomes remains debated. We performed an initial survey of TE load and diversity in the putative ancient asexual ostracod Darwinula stevensoni. We examined long contiguous stretches of DNA in clones from a genomic fosmid library, totaling about 2.5 Mb, and supplemented these data with results on TE abundance and diversity from an Illumina draft genome. In contrast to other TE studies in putatively ancient asexuals, which revealed relatively low TE content, we found that at least 19% of the fosmid dataset and 26% of the genome assembly corresponded to known transposons. We observed a high diversity of transposon families, including LINE, gypsy, PLE, mariner/Tc, hAT, CMC, Sola2, Ginger, Merlin, Harbinger, MITEs and helitrons, with the prevalence of DNA transposons. The predominantly low levels of sequence diversity indicate that many TEs are or have recently been active. In the fosmid data, no correlation was found between telomeric repeats and non-LTR retrotransposons, which are present near telomeres in other taxa. Most TEs in the fosmid data were located outside of introns and almost none were found in exons. We also report an N-terminal Myb/SANT-like DNA-binding domain in site-specific R4/Dong non-LTR retrotransposons. Although initial results on transposable loads need to be verified with high quality draft genomes, this study provides important first insights into TE dynamics in putative ancient asexual ostracods.
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19
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Fuhrmeister ER, Larson JR, Kleinschmit AJ, Kirby JE, Pickering AJ, Bascom-Slack CA. Combating Antimicrobial Resistance Through Student-Driven Research and Environmental Surveillance. Front Microbiol 2021; 12:577821. [PMID: 33679626 PMCID: PMC7931799 DOI: 10.3389/fmicb.2021.577821] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 01/14/2021] [Indexed: 11/13/2022] Open
Abstract
Emerging resistance to all classes of antimicrobials is one of the defining crises of the 21st century. Many advances in modern medicine, such as routine surgeries, are predicated on sustaining patients with antimicrobials during a period when their immune systems alone cannot clear infection. The development of new antimicrobials has not kept pace with the antimicrobial resistance (AR) threat. AR bacteria have been documented in various environments, such as drinking and surface water, food, sewage, and soil, yet surveillance and sampling has largely been from infected patients. The prevalence and diversity of AR bacteria in the environment, and the risks they pose to humans are not well understood. There is consensus that environmental surveillance is an important first step in forecasting and targeting efforts to prevent spread and transmission of AR microbes. However, efforts to date have been limited. The Prevalence of Antibiotic Resistance in the Environment (PARE) is a classroom-based project that engages students around the globe in systematic environmental AR surveillance with the goal of identifying areas where prevalence is high. The format of PARE, designed as short classroom research modules, lowers common barriers for institutional participation in course-based research. PARE brings real-world microbiology into the classroom by educating students about the pressing public health issue of AR, while empowering them to be partners in the solution. In turn, the PARE project provides impactful data to inform our understanding of the spread of AR in the environment through global real-time surveillance.
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Affiliation(s)
- Erica R. Fuhrmeister
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, United States
| | - Jennifer R. Larson
- Department of Biological and Environmental Sciences, Capital University, Columbus, OH, United States
| | - Adam J. Kleinschmit
- Department of Natural and Applied Sciences, University of Dubuque, Dubuque, IA, United States
| | - James E. Kirby
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Amy J. Pickering
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, United States
| | - Carol A. Bascom-Slack
- Department of Medical Education, Tufts University School of Medicine, Boston, MA, United States
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20
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Andere AA, Pimsler ML, Tarone AM, Picard CJ. The genomes of a monogenic fly: views of primitive sex chromosomes. Sci Rep 2020; 10:15728. [PMID: 32978490 PMCID: PMC7519133 DOI: 10.1038/s41598-020-72880-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 09/07/2020] [Indexed: 11/10/2022] Open
Abstract
The production of male and female offspring is often determined by the presence of specific sex chromosomes which control sex-specific expression, and sex chromosomes evolve through reduced recombination and specialized gene content. Here we present the genomes of Chrysomya rufifacies, a monogenic blow fly (females produce female or male offspring, exclusively) by separately sequencing and assembling each type of female and the male. The genomes (> 25X coverage) do not appear to have any sex-linked Muller F elements (typical for many Diptera) and exhibit little differentiation between groups supporting the morphological assessments of C. rufifacies homomorphic chromosomes. Males in this species are associated with a unimodal coverage distribution while females exhibit bimodal coverage distributions, suggesting a potential difference in genomic architecture. The presence of the individual-sex draft genomes herein provides new clues regarding the origination and evolution of the diverse sex-determining mechanisms observed within Diptera. Additional genomic analysis of sex chromosomes and sex-determining genes of other blow flies will allow a refined evolutionary understanding of how flies with a typical X/Y heterogametic amphogeny (male and female offspring in similar ratios) sex determination systems evolved into one with a dominant factor that results in single sex progeny in a chromosomally monomorphic system.
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Affiliation(s)
- Anne A. Andere
- Department of Biology, Indiana University- Purdue University Indianapolis, Indianapolis, IN USA
| | - Meaghan L. Pimsler
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, AL USA
| | - Aaron M. Tarone
- Department of Entomology, Texas A&M University, College Station, TX USA
| | - Christine J. Picard
- Department of Biology, Indiana University- Purdue University Indianapolis, Indianapolis, IN USA
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21
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Spana EP, Abrams AB, Ellis KT, Klein JC, Ruderman BT, Shi AH, Zhu D, Stewart A, May S. speck, First Identified in Drosophila melanogaster in 1910, Is Encoded by the Arylalkalamine N-Acetyltransferase (AANAT1) Gene. G3 (BETHESDA, MD.) 2020; 10:3387-3398. [PMID: 32709620 PMCID: PMC7466976 DOI: 10.1534/g3.120.401470] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 07/21/2020] [Indexed: 12/22/2022]
Abstract
The pigmentation mutation speck is a commonly used recombination marker characterized by a darkly pigmented region at the wing hinge. Identified in 1910 by Thomas Hunt Morgan, speck was characterized by Sturtevant as the most "workable" mutant in the rightmost region of the second chromosome and eventually localized to 2-107.0 and 60C1-2. Though the first speck mutation was isolated over 110 years ago, speck is still not associated with any gene. Here, as part of an undergraduate-led research effort, we show that speck is encoded by the Arylalkylamine N-acetyltransferase 1 (AANAT1) gene. Both alleles from the Morgan lab contain a retrotransposon in exon 1 of the RB transcript of the AANAT1 gene. We have also identified a new insertion allele and generated multiple deletion alleles in AANAT1 that all give a strong speck phenotype. In addition, expression of AANAT1 RNAi constructs either ubiquitously or in the dorsal portion of the developing wing generates a similar speck phenotype. We find that speck alleles have additional phenotypes, including ectopic pigmentation in the posterior pupal case, leg joints, cuticular sutures and overall body color. We propose that the acetylated dopamine generated by AANAT1 decreases the dopamine pool available for melanin production. When AANAT1 function is decreased, the excess dopamine enters the melanin pathway to generate the speck phenotype.
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Affiliation(s)
- Eric P Spana
- Department of Biology, Duke University, Durham, NC 27708
| | | | | | - Jason C Klein
- Department of Biology, Duke University, Durham, NC 27708
| | | | - Alvin H Shi
- Department of Biology, Duke University, Durham, NC 27708
| | - Daniel Zhu
- Department of Biology, Duke University, Durham, NC 27708
| | - Andrea Stewart
- Department of Biology, Duke University, Durham, NC 27708
| | - Susan May
- Department of Biology, Duke University, Durham, NC 27708
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22
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Xing Y, Hernandez Nopsa JF, Andersen KF, Andrade-Piedra JL, Beed FD, Blomme G, Carvajal-Yepes M, Coyne DL, Cuellar WJ, Forbes GA, Kreuze JF, Kroschel J, Kumar PL, Legg JP, Parker M, Schulte-Geldermann E, Sharma K, Garrett KA. Global Cropland Connectivity: A Risk Factor for Invasion and Saturation by Emerging Pathogens and Pests. Bioscience 2020; 70:744-758. [PMID: 32973407 PMCID: PMC7498352 DOI: 10.1093/biosci/biaa067] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
The geographic pattern of cropland is an important risk factor for invasion and saturation by crop-specific pathogens and arthropods. Understanding cropland networks supports smart pest sampling and mitigation strategies. We evaluate global networks of cropland connectivity for key vegetatively propagated crops (banana and plantain, cassava, potato, sweet potato, and yam) important for food security in the tropics. For each crop, potential movement between geographic location pairs was evaluated using a gravity model, with associated uncertainty quantification. The highly linked hub and bridge locations in cropland connectivity risk maps are likely priorities for surveillance and management, and for tracing intraregion movement of pathogens and pests. Important locations are identified beyond those locations that simply have high crop density. Cropland connectivity risk maps provide a new risk component for integration with other factors-such as climatic suitability, genetic resistance, and global trade routes-to inform pest risk assessment and mitigation.
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Affiliation(s)
- Yanru Xing
- Plant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute at University of Florida, Gainesville, USA
- Yanru Xing and John F. Hernandez Nopsa contributed equally to this work
| | - John F Hernandez Nopsa
- Corporación Colombiana de Investigación Agropecuaria, AGROSAVIA, Mosquera-Bogota, Colombia
- Yanru Xing and John F. Hernandez Nopsa contributed equally to this work
| | - Kelsey F Andersen
- Plant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute at University of Florida, Gainesville, USA
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Jorge L Andrade-Piedra
- International Potato Center (CIP), P.O. Box 1558, Lima 12, Peru
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Fenton D Beed
- Plant Production and Protection Division, Food and Agriculture Organization, United Nations (FAO), 00153 Roma, Italy
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Guy Blomme
- Bioversity International, c/o ILRI, Addis Ababa, Ethiopia
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Mónica Carvajal-Yepes
- International Center for Tropical Agriculture (CIAT), AA6713, Cali, Colombia
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Danny L Coyne
- International Institute of Tropical Agriculture (IITA), Nairobi, Kenya
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Wilmer J Cuellar
- International Center for Tropical Agriculture (CIAT), AA6713, Cali, Colombia
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Gregory A Forbes
- International Potato Center (CIP), P.O. Box 1558, Lima 12, Peru
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Jan F Kreuze
- International Potato Center (CIP), P.O. Box 1558, Lima 12, Peru
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Jürgen Kroschel
- International Potato Center (CIP), P.O. Box 1558, Lima 12, Peru
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - P Lava Kumar
- International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - James P Legg
- International Institute of Tropical Agriculture (IITA), Dar es Salaam, Tanzania
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Monica Parker
- International Potato Center (CIP), Nairobi, Kenya
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Elmar Schulte-Geldermann
- International Potato Center (CIP), Nairobi, Kenya
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Kalpana Sharma
- International Potato Center (CIP), Nairobi, Kenya
- CGIAR Research Program on Roots, Tubers, and Bananas
| | - Karen A Garrett
- Plant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute at University of Florida, Gainesville, USA
- CGIAR Research Program on Roots, Tubers, and Bananas
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Sargent L, Liu Y, Leung W, Mortimer NT, Lopatto D, Goecks J, Elgin SCR. G-OnRamp: Generating genome browsers to facilitate undergraduate-driven collaborative genome annotation. PLoS Comput Biol 2020; 16:e1007863. [PMID: 32497138 PMCID: PMC7272004 DOI: 10.1371/journal.pcbi.1007863] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Scientists are sequencing new genomes at an increasing rate with the goal of associating genome contents with phenotypic traits. After a new genome is sequenced and assembled, structural gene annotation is often the first step in analysis. Despite advances in computational gene prediction algorithms, most eukaryotic genomes still benefit from manual gene annotation. This requires access to good genome browsers to enable annotators to visualize and evaluate multiple lines of evidence (e.g., sequence similarity, RNA sequencing [RNA-Seq] results, gene predictions, repeats) and necessitates many volunteers to participate in the work. To address the technical barriers to creating genome browsers, the Genomics Education Partnership (GEP; https://gep.wustl.edu/) has partnered with the Galaxy Project (https://galaxyproject.org) to develop G-OnRamp (http://g-onramp.org), a web-based platform for creating UCSC Genome Browser Assembly Hubs and JBrowse genome browsers. G-OnRamp also converts a JBrowse instance into an Apollo instance for collaborative genome annotations in research and educational settings. The genome browsers produced can be transferred to the CyVerse Data Store for long-term access. G-OnRamp enables researchers to easily visualize their experimental results, educators to create Course-based Undergraduate Research Experiences (CUREs) centered on genome annotation, and students to participate in genomics research. In the process, students learn about genes/genomes and about how to utilize large datasets. Development of G-OnRamp was guided by extensive user feedback. Sixty-five researchers/educators from >40 institutions participated through in-person workshops, which produced >20 genome browsers now available for research and education. Genome browsers generated for four parasitoid wasp species have been used in a CURE engaging students at 15 colleges and universities. Our assessment results in the classroom demonstrate that the genome browsers produced by G-OnRamp are effective tools for engaging undergraduates in research and in enabling their contributions to the scientific literature in genomics. Expansion of such genomics research/education partnerships will be beneficial to researchers, faculty, and students alike.
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Affiliation(s)
- Luke Sargent
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Yating Liu
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, United States of America
| | - Wilson Leung
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, United States of America
| | - Nathan T. Mortimer
- School of Biological Sciences, Illinois State University, Normal, Illinois, United States of America
| | - David Lopatto
- Department of Psychology, Grinnell College, Grinnell, Iowa, United States of America
| | - Jeremy Goecks
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Sarah C. R. Elgin
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, United States of America
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Penders B, Shaw DM. Civil disobedience in scientific authorship: Resistance and insubordination in science. Account Res 2020; 27:347-371. [DOI: 10.1080/08989621.2020.1756787] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Bart Penders
- Department of Health, Ethics & Society, Care and Public Health Research Institute (Caphri), Maastricht University, Maastricht, The Netherlands
| | - David M. Shaw
- Department of Health, Ethics & Society, Care and Public Health Research Institute (Caphri), Maastricht University, Maastricht, The Netherlands
- Institute for Biomedical Ethics, University of Basel, Basel, Switzerland
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Abstract
The physical connections established by recombination are normally sufficient to ensure proper chromosome segregation during female Meiosis I. However, nonexchange chromosomes (such as the Muller F element or "dot" chromosome in D. melanogaster) can still segregate accurately because they remain connected by heterochromatic tethers. A recent study examined female meiosis in the closely related species D. melanogaster and D. simulans, and found a nearly twofold difference in the mean distance the obligately nonexchange dot chromosomes were separated during Prometaphase. That study proposed two speculative hypotheses for this difference, the first being the amount of heterochromatin in each species, and the second being the species' differing tolerance for common inversions in natural populations. We tested these hypotheses by examining female meiosis in 12 additional Drosophila species. While neither hypothesis had significant support, we did see 10-fold variation in dot chromosome sizes, and fivefold variation in the frequency of chromosomes out on the spindle, which were both significantly correlated with chromosome separation distances. In addition to demonstrating that heterochromatin abundance changes chromosome behavior, this implies that the duration of Prometaphase chromosome movements must be proportional to the size of the F element in these species. Additionally, we examined D. willistoni, a species that lacks a free dot chromosome. We observed that chromosomes still moved out on the meiotic spindle, and the F element was always positioned closest to the spindle poles. This result is consistent with models where one role of the dot chromosomes is to help organize the meiotic spindle.
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26
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Lopatto D, Rosenwald AG, DiAngelo JR, Hark AT, Skerritt M, Wawersik M, Allen AK, Alvarez C, Anderson S, Arrigo C, Arsham A, Barnard D, Bazinet C, Bedard JEJ, Bose I, Braverman JM, Burg MG, Burgess RC, Croonquist P, Du C, Dubowsky S, Eisler H, Escobar MA, Foulk M, Furbee E, Giarla T, Glaser RL, Goodman AL, Gosser Y, Haberman A, Hauser C, Hays S, Howell CE, Jemc J, Johnson ML, Jones CJ, Kadlec L, Kagey JD, Keller KL, Kennell J, Key SCS, Kleinschmit AJ, Kleinschmit M, Kokan NP, Kopp OR, Laakso MM, Leatherman J, Long LJ, Manier M, Martinez-Cruzado JC, Matos LF, McClellan AJ, McNeil G, Merkhofer E, Mingo V, Mistry H, Mitchell E, Mortimer NT, Mukhopadhyay D, Myka JL, Nagengast A, Overvoorde P, Paetkau D, Paliulis L, Parrish S, Preuss ML, Price JV, Pullen NA, Reinke C, Revie D, Robic S, Roecklein-Canfield JA, Rubin MR, Sadikot T, Sanford JS, Santisteban M, Saville K, Schroeder S, Shaffer CD, Sharif KA, Sklensky DE, Small C, Smith M, Smith S, Spokony R, Sreenivasan A, Stamm J, Sterne-Marr R, Teeter KC, Thackeray J, Thompson JS, Peters ST, Van Stry M, Velazquez-Ulloa N, Wolfe C, Youngblom J, Yowler B, Zhou L, Brennan J, Buhler J, et alLopatto D, Rosenwald AG, DiAngelo JR, Hark AT, Skerritt M, Wawersik M, Allen AK, Alvarez C, Anderson S, Arrigo C, Arsham A, Barnard D, Bazinet C, Bedard JEJ, Bose I, Braverman JM, Burg MG, Burgess RC, Croonquist P, Du C, Dubowsky S, Eisler H, Escobar MA, Foulk M, Furbee E, Giarla T, Glaser RL, Goodman AL, Gosser Y, Haberman A, Hauser C, Hays S, Howell CE, Jemc J, Johnson ML, Jones CJ, Kadlec L, Kagey JD, Keller KL, Kennell J, Key SCS, Kleinschmit AJ, Kleinschmit M, Kokan NP, Kopp OR, Laakso MM, Leatherman J, Long LJ, Manier M, Martinez-Cruzado JC, Matos LF, McClellan AJ, McNeil G, Merkhofer E, Mingo V, Mistry H, Mitchell E, Mortimer NT, Mukhopadhyay D, Myka JL, Nagengast A, Overvoorde P, Paetkau D, Paliulis L, Parrish S, Preuss ML, Price JV, Pullen NA, Reinke C, Revie D, Robic S, Roecklein-Canfield JA, Rubin MR, Sadikot T, Sanford JS, Santisteban M, Saville K, Schroeder S, Shaffer CD, Sharif KA, Sklensky DE, Small C, Smith M, Smith S, Spokony R, Sreenivasan A, Stamm J, Sterne-Marr R, Teeter KC, Thackeray J, Thompson JS, Peters ST, Van Stry M, Velazquez-Ulloa N, Wolfe C, Youngblom J, Yowler B, Zhou L, Brennan J, Buhler J, Leung W, Reed LK, Elgin SCR. Facilitating Growth through Frustration: Using Genomics Research in a Course-Based Undergraduate Research Experience. JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATION 2020; 21:jmbe-21-6. [PMID: 32148609 PMCID: PMC7048401 DOI: 10.1128/jmbe.v21i1.2005] [Show More Authors] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 01/23/2020] [Indexed: 06/10/2023]
Abstract
A hallmark of the research experience is encountering difficulty and working through those challenges to achieve success. This ability is essential to being a successful scientist, but replicating such challenges in a teaching setting can be difficult. The Genomics Education Partnership (GEP) is a consortium of faculty who engage their students in a genomics Course-Based Undergraduate Research Experience (CURE). Students participate in genome annotation, generating gene models using multiple lines of experimental evidence. Our observations suggested that the students' learning experience is continuous and recursive, frequently beginning with frustration but eventually leading to success as they come up with defendable gene models. In order to explore our "formative frustration" hypothesis, we gathered data from faculty via a survey, and from students via both a general survey and a set of student focus groups. Upon analyzing these data, we found that all three datasets mentioned frustration and struggle, as well as learning and better understanding of the scientific process. Bioinformatics projects are particularly well suited to the process of iteration and refinement because iterations can be performed quickly and are inexpensive in both time and money. Based on these findings, we suggest that a dynamic of "formative frustration" is an important aspect for a successful CURE.
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Affiliation(s)
- David Lopatto
- Center for Teaching, Learning and Assessment, Grinnell College, Grinnell, IA 50112, USA
| | | | | | - Amy T. Hark
- Biology, Muhlenberg College, Allentown, PA 18104, USA
| | | | - Matthew Wawersik
- Biology, College of William and Mary, Williamsburg, VA 23187, USA
| | - Anna K. Allen
- Biology, Howard University, Washington, DC 20059, USA
| | | | - Sara Anderson
- Biosciences, Minnesota State University Moorhead, Moorhead, MN 56563, USA
| | - Cindy Arrigo
- Biology, New Jersey City University, Jersey City, NJ 07305, USA
| | - Andrew Arsham
- Biology, Bemidji State University, Bemidji, MN 56601, USA
| | - Daron Barnard
- Biology, Worcester State University, Worcester, MA 01602, USA
| | | | - James E. J. Bedard
- Biology, University of the Fraser Valley, Abbotsford, BC, V2S 7M8, Canada
| | - Indrani Bose
- Biology, Western Carolina University, Cullowhee, NC 28723, USA
| | | | - Martin G. Burg
- Biomedical Sciences and Cell & Molecular Biology, Grand Valley State University, Allendale, MI 49401, USA
| | | | - Paula Croonquist
- Biology, Anoka-Ramsey Community College, Coon Rapids, MN 55433, USA
| | - Chunguang Du
- Biology, Montclair State University, Montclair, NJ 07043, USA
| | | | - Heather Eisler
- Biology, University of the Cumberlands, Williamsburg, KY 40769, USA
| | - Matthew A. Escobar
- Biological Sciences, California State University San Marcos, CA 92096, USA
| | | | - Emily Furbee
- Biology, Washington and Jefferson College, Washington, PA 15301, USA
| | | | - Rivka L. Glaser
- Biological Sciences, Stevenson University, Owings Mills, MD 21117, USA
| | - Anya L. Goodman
- Chemistry and Biochemistry, California Polytechnic State University, San Luis Obispo, CA 93407, USA
| | - Yuying Gosser
- Student Research and Scholarship, City College CUNY, New York, NY 10031, USA
| | - Adam Haberman
- Biology, University of San Diego, San Diego, CA 92110, USA
| | | | - Shan Hays
- Biology, Western Colorado University, Gunnison, CO 81231, USA
| | - Carina E. Howell
- Biological Sciences, Lock Haven University, Lock Haven, PA 17745, USA
| | - Jennifer Jemc
- Biology, Loyola University Chicago, Chicago, IL 60660, USA
| | | | | | - Lisa Kadlec
- Biology, Wilkes University, Wilkes-Barre, PA 18766, USA
| | - Jacob D. Kagey
- Biology, University of Detroit Mercy, Detroit, MI 48221, USA
| | | | | | - S. Catherine Silver Key
- Biological and Biomedical Sciences, North Carolina Central University, Durham, NC 27707, USA
| | | | | | - Nighat P. Kokan
- Natural Sciences, Cardinal Stritch University, Milwaukee, WI 53217, USA
| | | | - Meg M. Laakso
- Biology, Eastern University, St. Davids, PA 19087, USA
| | - Judith Leatherman
- Biological Sciences, University of Northern Colorado, Greeley, CO 80639, USA
| | - Lindsey J. Long
- Biology, Oklahoma Christian University, Oklahoma City, OK 73136, USA
| | - Mollie Manier
- Biological Sciences, George Washington University, Washington, DC 20052, USA
| | | | - Luis F. Matos
- Biology, Eastern Washington University, Cheney, WA 99004, USA
| | - Amie Jo McClellan
- Science and Mathematics, Bennington College, Bennington, VT 05201, USA
| | - Gerard McNeil
- Biology, York College / CUNY, Jamaica, NY 11451, USA
| | - Evan Merkhofer
- Natural Sciences, Mount Saint Mary College, Newbergh, NY 12550, USA
| | - Vida Mingo
- Biology, Columbia College, Columbia, SC 29203, USA
| | - Hemlata Mistry
- Biology and Biochemistry, Widener University, Chester, PA 19013, USA
| | | | | | - Debaditya Mukhopadhyay
- Molecular Biology, Biochemistry, and Bioinformatics, Towson University, Towson, MD 21252, USA
| | | | - Alexis Nagengast
- Chemistry and Biochemistry, Widener University, Chester, PA 19013, USA
| | | | - Don Paetkau
- Biology, Saint Mary’s College, Notre Dame, IN 46556, USA
| | | | - Susan Parrish
- Biology, McDaniel College, Westminster, MD 21157, USA
| | - Mary Lai Preuss
- Biological Sciences, Webster University, St. Louis, MO 63119, USA
| | | | - Nicholas A. Pullen
- Biological Sciences, University of Northern Colorado, Greeley, CO 80639, USA
| | | | - Dennis Revie
- Biology, California Lutheran University, Thousand Oaks, CA 91360, USA
| | | | | | - Michael R. Rubin
- Biology, University of Puerto Rico at Cayey, Cayey, PR 00736, USA
| | | | | | - Maria Santisteban
- Biology, University of North Carolina at Pembroke, Pembroke, NC 28372, USA
| | | | | | | | - Karim A. Sharif
- Biology, Massasoit Community College, Brockton, MA 02302, USA
| | | | - Chiyedza Small
- Biology, Medgar Evers College, CUNY, Brooklyn, NY 11225, USA
| | - Mary Smith
- Biology, North Carolina A & T State University, Greensboro, NC 27411, USA
| | - Sheryl Smith
- Biology, Arcadia, University, Glenside, PA 19038, USA
| | - Rebecca Spokony
- Natural Sciences, Baruch College, CUNY, New York, NY 10010, USA
| | - Aparna Sreenivasan
- Biology, School of Natural Sciences, California State University, Monterey Bay, Seaside, CA 93950, USA
| | - Joyce Stamm
- Biology, University of Evansville, Evansville, IN 47722, USA
| | | | | | | | | | | | | | | | - Cindy Wolfe
- Biology, Kentucky Wesleyan College, Owensboro, KY 42301, USA
| | - James Youngblom
- Biological Sciences, California State University Stanislaus, Turlock, CA 95382, USA
| | - Brian Yowler
- Biology, Grove City College, Grove City, PA 16127, USA
| | - Leming Zhou
- Health Information Management, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Janie Brennan
- Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Jeremy Buhler
- Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Wilson Leung
- Biology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Laura K. Reed
- Biological Sciences, University of Alabama Tuscaloosa, AL 35487, USA
| | - Sarah C. R. Elgin
- Biology, Washington University in St. Louis, St. Louis, MO 63130, USA
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Cooper KM, Blattman JN, Hendrix T, Brownell SE. The Impact of Broadly Relevant Novel Discoveries on Student Project Ownership in a Traditional Lab Course Turned CURE. CBE LIFE SCIENCES EDUCATION 2019; 18:ar57. [PMID: 31675275 PMCID: PMC6829067 DOI: 10.1187/cbe.19-06-0113] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Course-based undergraduate research experiences (CUREs) have been shown to lead to multiple student benefits, but much is unknown about how CUREs lead to specific student outcomes. In this study, we examined the extent to which students making "broadly relevant novel discoveries" impacted student project ownership by comparing the experiences of students in a CURE and a traditional lab course. The CURE and traditional lab were similar in most aspects; students were exposed to an identical curriculum taught by the same instructor. However, there was one major difference between the two types of courses: the type of data that the students produced. Students in the traditional lab characterized the immune system of wild-type mice, thereby confirming results already known to the scientific community, while students in the CURE characterized the immune system of a mutant strain of mice, which produced broadly relevant novel discoveries. Compared with traditional lab students, CURE students reported higher cognitive and emotional ownership over their projects. Students' perceptions of collaboration and making broadly relevant novel discoveries were significantly and positively related to their cognitive and emotional ownership. This work provides insight into the importance of integrating opportunities for broadly relevant novel discoveries in lab courses.
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Affiliation(s)
- Katelyn M. Cooper
- Department of Biology, University of Central Florida, Orlando, FL 32816
| | | | - Taija Hendrix
- School of Life Sciences, Arizona State University, Tempe, AZ 85287-4501
| | - Sara E. Brownell
- School of Life Sciences, Arizona State University, Tempe, AZ 85287-4501
- *Address correspondence to: Sara E. Brownell ()
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Saha P, Mishra RK. Heterochromatic hues of transcription-the diverse roles of noncoding transcripts from constitutive heterochromatin. FEBS J 2019; 286:4626-4641. [PMID: 31644838 DOI: 10.1111/febs.15104] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 08/19/2019] [Accepted: 10/22/2019] [Indexed: 02/05/2023]
Abstract
Constitutive heterochromatin has been canonically considered as transcriptionally inert chromosomal regions, which silences the repeats and transposable elements (TEs), to preserve genomic integrity. However, several studies from the last few decades show that centromeric and pericentromeric regions also get transcribed and these transcripts are involved in multiple cellular processes. Regulation of such spatially and temporally controlled transcription and their relevance to heterochromatin function have emerged as an active area of research in chromatin biology. Here, we review the myriad of roles of noncoding transcripts from the constitutive heterochromatin in the establishment and maintenance of heterochromatin, kinetochore assembly, germline epigenome maintenance, early development, and diseases. Contrary to general expectations, there are active protein-coding genes in the heterochromatin although the regulatory mechanisms of their expression are largely unknown. We propose plausible hypotheses to explain heterochromatic gene expression using Drosophila melanogaster as a model, and discuss the evolutionary significance of these transcripts in the context of Drosophilid speciation. Such analyses offer insights into the regulatory pathways and functions of heterochromatic transcripts which open new avenues for further investigation.
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Affiliation(s)
- Parna Saha
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Rakesh K Mishra
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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29
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Schoenborn P, Osborne R, Toms N, Johnstone K, Milsom C, Muneer R, Jarvis MA, Belshaw R. OncoSim and OncoWiki: an authentic learning approach to teaching cancer genomics. BMC MEDICAL EDUCATION 2019; 19:407. [PMID: 31699073 PMCID: PMC6836658 DOI: 10.1186/s12909-019-1812-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 09/20/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Personalised medicine is rapidly changing the clinical environment, especially in regard to the management of cancer. However, for the large part, methods used to educate undergraduate students as future biomedical scientists and medical doctors have not reflected these changes. In order to make effective use of advances in cancer genomic knowledge, there is a need to expose students to the challenges of genomic medicine and to do so in a manner that makes this complex information accessible. METHODS The teaching method developed, OncoSim, is a scaffolded 'Personal Research' module option for final year biomedical undergraduate students. It uses an authentic learning approach to teach cancer genomics via simulated cancer patient case studies that have identifiable potential therapeutic targets with associated drug therapies (so-called targeted therapy/precision oncology). In addition, these simulated case studies can be uploaded to a dedicated learning website (OncoWiki) where they can be freely downloaded and used to teach medical students the principles of targeted therapy. A preliminary evaluation of OncoSim was carried out using 3 research tools: (1) online questionnaires; (2) semi-structured interviews; and (3) analysis of whole cohort mark ranges. Thematic analysis was used to code and categorise interview data. RESULTS The teaching materials for OncoSim and the OncoWiki site are freely accessible at https://www.oncowiki.co.uk. Questionnaire data and comparison of whole cohort marks showed OncoSim was at least as effective as alternative choices, and suggested OncoSim provided a valued alternative to traditional laboratory-based projects. No barriers to receptiveness were found. Interview analysis provided 5 broad themes (authentic learning experience; individual challenges; interest in cancer; positive learning experience; supportive structure) supporting the authentic learning aspect of the project, the strong scaffolding provided and the overall effectiveness of the approach. CONCLUSIONS Our preliminary, proof-of-concept, evaluation suggests that OncoSim will be effective in supporting the teaching of genomic medicine to undergraduate students. We plan and hope our study will encourage further formal evaluation in a larger cohort of students, including a control group. The OncoWiki site has the capacity to grow independently as future students create and upload simulated case studies for other students to then download and analyse.
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Affiliation(s)
| | | | - Nick Toms
- Peninsula Medical School, Faculty of Health: Medicine, Dentistry and Human Sciences, University of Plymouth, Plymouth, UK
| | - Karen Johnstone
- Peninsula Medical School, Faculty of Health: Medicine, Dentistry and Human Sciences, University of Plymouth, Plymouth, UK
| | - Chlöe Milsom
- Peninsula Medical School, Faculty of Health: Medicine, Dentistry and Human Sciences, University of Plymouth, Plymouth, UK
| | - Reema Muneer
- Educational Development, University of Plymouth, Plymouth, UK
| | - Michael A Jarvis
- School of Biomedical Sciences, Faculty of Health: Medicine, Dentistry and Human Sciences, University of Plymouth, Plymouth, UK
| | - Robert Belshaw
- School of Biomedical Sciences, Faculty of Health: Medicine, Dentistry and Human Sciences, University of Plymouth, Plymouth, UK.
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30
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Tello-Ruiz MK, Marco CF, Hsu FM, Khangura RS, Qiao P, Sapkota S, Stitzer MC, Wasikowski R, Wu H, Zhan J, Chougule K, Barone LC, Ghiban C, Muna D, Olson AC, Wang L, Ware D, Micklos DA. Double triage to identify poorly annotated genes in maize: The missing link in community curation. PLoS One 2019; 14:e0224086. [PMID: 31658277 PMCID: PMC6816542 DOI: 10.1371/journal.pone.0224086] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 10/05/2019] [Indexed: 02/02/2023] Open
Abstract
The sophistication of gene prediction algorithms and the abundance of RNA-based evidence for the maize genome may suggest that manual curation of gene models is no longer necessary. However, quality metrics generated by the MAKER-P gene annotation pipeline identified 17,225 of 130,330 (13%) protein-coding transcripts in the B73 Reference Genome V4 gene set with models of low concordance to available biological evidence. Working with eight graduate students, we used the Apollo annotation editor to curate 86 transcript models flagged by quality metrics and a complimentary method using the Gramene gene tree visualizer. All of the triaged models had significant errors-including missing or extra exons, non-canonical splice sites, and incorrect UTRs. A correct transcript model existed for about 60% of genes (or transcripts) flagged by quality metrics; we attribute this to the convention of elevating the transcript with the longest coding sequence (CDS) to the canonical, or first, position. The remaining 40% of flagged genes resulted in novel annotations and represent a manual curation space of about 10% of the maize genome (~4,000 protein-coding genes). MAKER-P metrics have a specificity of 100%, and a sensitivity of 85%; the gene tree visualizer has a specificity of 100%. Together with the Apollo graphical editor, our double triage provides an infrastructure to support the community curation of eukaryotic genomes by scientists, students, and potentially even citizen scientists.
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Affiliation(s)
- Marcela K Tello-Ruiz
- Plant Biology Program, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
- Department of Biological Sciences, State University of New York at Old Westbury, Old Westbury, New York, United States of America
| | - Cristina F Marco
- DNA Learning Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Fei-Man Hsu
- Graduate School of Frontier Sciences, University of Tokyo, Chiba, Japan
| | - Rajdeep S Khangura
- Department of Biochemistry, Purdue University, West Lafayette, Indiana, United States of America
| | - Pengfei Qiao
- Plant Biology Section, School of Integrative Plant Sciences, Cornell University, Ithaca, New York, United States of America
| | - Sirjan Sapkota
- Department of Plant and Environmental Sciences, Clemson University, Clemson, South Carolina, United States of America
| | - Michelle C Stitzer
- Department of Plant Sciences and Center for Population Biology, University of California Davis, Davis, California, United States of America
| | - Rachael Wasikowski
- Department of Biological Sciences, University of Toledo, Toledo, Ohio, United States of America
| | - Hao Wu
- Genetics, Development & Cell Biology Department, Iowa State University, Ames, Iowa, United States of America
| | - Junpeng Zhan
- School of Plant Sciences, University of Arizona, Tucson, Arizona, United States of America
- Donald Danforth Plant Science Center, St. Louis, Missouri, United States of America
| | - Kapeel Chougule
- Plant Biology Program, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Lindsay C Barone
- DNA Learning Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Cornel Ghiban
- DNA Learning Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Demitri Muna
- Plant Biology Program, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Andrew C Olson
- Plant Biology Program, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Liya Wang
- Plant Biology Program, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Doreen Ware
- Plant Biology Program, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
- USDA, Agricultural Research Service, Washington, D.C., United States of America
| | - David A Micklos
- DNA Learning Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
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31
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Allan CW, Matzkin LM. Genomic analysis of the four ecologically distinct cactus host populations of Drosophila mojavensis. BMC Genomics 2019; 20:732. [PMID: 31606030 PMCID: PMC6790045 DOI: 10.1186/s12864-019-6097-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 09/11/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Relationships between an organism and its environment can be fundamental in the understanding how populations change over time and species arise. Local ecological conditions can shape variation at multiple levels, among these are the evolutionary history and trajectories of coding genes. This study examines the rate of molecular evolution at protein-coding genes throughout the genome in response to host adaptation in the cactophilic Drosophila mojavensis. These insects are intimately associated with cactus necroses, developing as larvae and feeding as adults in these necrotic tissues. Drosophila mojavensis is composed of four isolated populations across the deserts of western North America and each population has adapted to utilize different cacti that are chemically, nutritionally, and structurally distinct. RESULTS High coverage Illumina sequencing was performed on three previously unsequenced populations of D. mojavensis. Genomes were assembled using the previously sequenced genome of D. mojavensis from Santa Catalina Island (USA) as a template. Protein coding genes were aligned across all four populations and rates of protein evolution were determined for all loci using a several approaches. CONCLUSIONS Loci that exhibited elevated rates of molecular evolution tend to be shorter, have fewer exons, low expression, be transcriptionally responsive to cactus host use and have fixed expression differences across the four cactus host populations. Fast evolving genes were involved with metabolism, detoxification, chemosensory reception, reproduction and behavior. Results of this study give insight into the process and the genomic consequences of local ecological adaptation.
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Affiliation(s)
- Carson W Allan
- Department of Biological Sciences, University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL, 35899, USA
- Department of Entomology, University of Arizona, 1140 E. South Campus Drive, Tucson, AZ, 85721, USA
| | - Luciano M Matzkin
- Department of Biological Sciences, University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL, 35899, USA.
- Department of Entomology, University of Arizona, 1140 E. South Campus Drive, Tucson, AZ, 85721, USA.
- BIO5 Institute, University of Arizona, 1657 East Helen Street, Tucson, AZ, 85721, USA.
- Department of Ecology and Evolutionary Biology, University of Arizona, 1041 E. Lowell St., Tucson, AZ, 85721, USA.
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32
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Wong AK, Rasouli MR, Ng A, Wang D. Targeted Epidural Blood Patches Under Fluoroscopic Guidance For Incidental Durotomies Related To Spine Surgeries: A Case Series. J Pain Res 2019; 12:2825-2833. [PMID: 31632132 PMCID: PMC6792944 DOI: 10.2147/jpr.s191589] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Accepted: 09/04/2019] [Indexed: 11/29/2022] Open
Abstract
Introduction Incidental durotomies are usually managed conservatively. However, 1.8% of patients require surgical dural repair for CSF leak. There are limited data available regarding the use of epidural blood patches (EBP) for persistent CSF leaks secondary to incidental durotomies. This case series aims to evaluate the efficacy of targeted EBPs under fluoroscopic guidance in the treatment of incidental durotomies. Methods Four patients with incidental durotomies after spine surgeries (one cervical decompression, one revision of L5-S1 decompression and fusion, and two lumbar decompressions) were included in this series. These patients did not respond to conservative management and subsequently underwent EBPs. Magnetic resonance imaging (MRI) images were reviewed to confirm and identify the sites of CSF leak prior to the EBPs. We targeted the sites of CSF leak with fluoroscopic guidance. All four patients received an EBP with an 18-gauge epidural needle placed under fluoroscopic guidance. In some cases, epidural catheters were used to further target the sites of CSF leak. Contrast was used to confirm the appropriate placements of the needles and catheters. Approximately 5–14 mL of autologous blood was injected through the needles or catheters to the sites of dural leak. Results Three lumbar and two cervical EBPs were performed in four patients (two females and two males). Their age ranged from 44 to 73 years old. Two out of three patients who had lumbar EBP reported complete resolution of symptoms following EBP. The patient who had cervical epidural patches did not have improvement in her symptoms. Conclusion This case series demonstrated that targeted EBP can be an effective treatment for CSF leak from incidental durotomies. However, dural tears in the cervical region may be more difficult to treat. Larger scale studies are required to evaluate efficacy of EBP in the treatment of symptomatic incidental durotomies.
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Affiliation(s)
- Andrew K Wong
- Department of Anesthesiology, Sidney Kimmel Medical College at Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Mohammad R Rasouli
- Department of Anesthesiology, Sidney Kimmel Medical College at Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Andrew Ng
- Department of Anesthesiology, Sidney Kimmel Medical College at Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Dajie Wang
- Department of Anesthesiology, Sidney Kimmel Medical College at Thomas Jefferson University Hospital, Philadelphia, PA, USA
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33
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Attardo GM, Abd-Alla AMM, Acosta-Serrano A, Allen JE, Bateta R, Benoit JB, Bourtzis K, Caers J, Caljon G, Christensen MB, Farrow DW, Friedrich M, Hua-Van A, Jennings EC, Larkin DM, Lawson D, Lehane MJ, Lenis VP, Lowy-Gallego E, Macharia RW, Malacrida AR, Marco HG, Masiga D, Maslen GL, Matetovici I, Meisel RP, Meki I, Michalkova V, Miller WJ, Minx P, Mireji PO, Ometto L, Parker AG, Rio R, Rose C, Rosendale AJ, Rota-Stabelli O, Savini G, Schoofs L, Scolari F, Swain MT, Takáč P, Tomlinson C, Tsiamis G, Van Den Abbeele J, Vigneron A, Wang J, Warren WC, Waterhouse RM, Weirauch MT, Weiss BL, Wilson RK, Zhao X, Aksoy S. Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biol 2019; 20:187. [PMID: 31477173 PMCID: PMC6721284 DOI: 10.1186/s13059-019-1768-2] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout sub-Saharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. RESULTS Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Vision-associated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. CONCLUSIONS Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.
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Affiliation(s)
- Geoffrey M Attardo
- Department of Entomology and Nematology, University of California, Davis, Davis, CA, USA.
| | - Adly M M Abd-Alla
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Alvaro Acosta-Serrano
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - James E Allen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosemary Bateta
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Jelle Caers
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Guy Caljon
- Laboratory of Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium
| | - Mikkel B Christensen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - David W Farrow
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Aurélie Hua-Van
- Laboratoire Evolution, Genomes, Comportement, Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Daniel Lawson
- Department of Life Sciences, Imperial College London, London, UK
| | - Michael J Lehane
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Vasileios P Lenis
- Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Ernesto Lowy-Gallego
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosaline W Macharia
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya.,Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | - Anna R Malacrida
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Heather G Marco
- Department of Biological Sciences, University of Cape Town, Rondebosch, South Africa
| | - Daniel Masiga
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
| | - Gareth L Maslen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Irina Matetovici
- Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Irene Meki
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, USA.,Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Wolfgang J Miller
- Department of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
| | - Patrick Minx
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul O Mireji
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya.,Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya
| | - Lino Ometto
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy.,Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Andrew G Parker
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Rita Rio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Clair Rose
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Andrew J Rosendale
- Department of Biology, Mount St. Joseph University, Cincinnati, OH, USA.,Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Omar Rota-Stabelli
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
| | - Grazia Savini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Liliane Schoofs
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Francesca Scolari
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Martin T Swain
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - Peter Takáč
- Department of Animal Systematics, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - George Tsiamis
- Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Etoloakarnania, Greece
| | | | - Aurelien Vigneron
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Jingwen Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Brian L Weiss
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Zhao
- CAS Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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34
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Attardo GM, Abd-Alla AMM, Acosta-Serrano A, Allen JE, Bateta R, Benoit JB, Bourtzis K, Caers J, Caljon G, Christensen MB, Farrow DW, Friedrich M, Hua-Van A, Jennings EC, Larkin DM, Lawson D, Lehane MJ, Lenis VP, Lowy-Gallego E, Macharia RW, Malacrida AR, Marco HG, Masiga D, Maslen GL, Matetovici I, Meisel RP, Meki I, Michalkova V, Miller WJ, Minx P, Mireji PO, Ometto L, Parker AG, Rio R, Rose C, Rosendale AJ, Rota-Stabelli O, Savini G, Schoofs L, Scolari F, Swain MT, Takáč P, Tomlinson C, Tsiamis G, Van Den Abbeele J, Vigneron A, Wang J, Warren WC, Waterhouse RM, Weirauch MT, Weiss BL, Wilson RK, Zhao X, Aksoy S. Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biol 2019; 20:187. [PMID: 31477173 DOI: 10.1101/531749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout sub-Saharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. RESULTS Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Vision-associated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. CONCLUSIONS Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.
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Affiliation(s)
- Geoffrey M Attardo
- Department of Entomology and Nematology, University of California, Davis, Davis, CA, USA.
| | - Adly M M Abd-Alla
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Alvaro Acosta-Serrano
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - James E Allen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosemary Bateta
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Jelle Caers
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Guy Caljon
- Laboratory of Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium
| | - Mikkel B Christensen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - David W Farrow
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Aurélie Hua-Van
- Laboratoire Evolution, Genomes, Comportement, Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Daniel Lawson
- Department of Life Sciences, Imperial College London, London, UK
| | - Michael J Lehane
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Vasileios P Lenis
- Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Ernesto Lowy-Gallego
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosaline W Macharia
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
- Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | - Anna R Malacrida
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Heather G Marco
- Department of Biological Sciences, University of Cape Town, Rondebosch, South Africa
| | - Daniel Masiga
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
| | - Gareth L Maslen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Irina Matetovici
- Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Irene Meki
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, USA
- Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Wolfgang J Miller
- Department of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
| | - Patrick Minx
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul O Mireji
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
- Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya
| | - Lino Ometto
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Andrew G Parker
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Rita Rio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Clair Rose
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Andrew J Rosendale
- Department of Biology, Mount St. Joseph University, Cincinnati, OH, USA
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Omar Rota-Stabelli
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
| | - Grazia Savini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Liliane Schoofs
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Francesca Scolari
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Martin T Swain
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - Peter Takáč
- Department of Animal Systematics, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - George Tsiamis
- Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Etoloakarnania, Greece
| | | | - Aurelien Vigneron
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Jingwen Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Brian L Weiss
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Zhao
- CAS Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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35
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Himmelstein DS, Rubinetti V, Slochower DR, Hu D, Malladi VS, Greene CS, Gitter A. Open collaborative writing with Manubot. PLoS Comput Biol 2019; 15:e1007128. [PMID: 31233491 PMCID: PMC6611653 DOI: 10.1371/journal.pcbi.1007128] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 07/05/2019] [Accepted: 05/24/2019] [Indexed: 01/08/2023] Open
Abstract
Open, collaborative research is a powerful paradigm that can immensely strengthen the scientific process by integrating broad and diverse expertise. However, traditional research and multi-author writing processes break down at scale. We present new software named Manubot, available at https://manubot.org, to address the challenges of open scholarly writing. Manubot adopts the contribution workflow used by many large-scale open source software projects to enable collaborative authoring of scholarly manuscripts. With Manubot, manuscripts are written in Markdown and stored in a Git repository to precisely track changes over time. By hosting manuscript repositories publicly, such as on GitHub, multiple authors can simultaneously propose and review changes. A cloud service automatically evaluates proposed changes to catch errors. Publication with Manubot is continuous: When a manuscript's source changes, the rendered outputs are rebuilt and republished to a web page. Manubot automates bibliographic tasks by implementing citation by identifier, where users cite persistent identifiers (e.g. DOIs, PubMed IDs, ISBNs, URLs), whose metadata is then retrieved and converted to a user-specified style. Manubot modernizes publishing to align with the ideals of open science by making it transparent, reproducible, immediate, versioned, collaborative, and free of charge.
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Affiliation(s)
- Daniel S. Himmelstein
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Vincent Rubinetti
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - David R. Slochower
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, California, United States of America
| | - Dongbo Hu
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Venkat S. Malladi
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
- Bioinformatics Core Facility, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
| | - Casey S. Greene
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Anthony Gitter
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Morgridge Institute for Research, Madison, Wisconsin, United States of America
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Duda Z, Trusiak S, O'Neill R. Centromere Transcription: Means and Motive. PROGRESS IN MOLECULAR AND SUBCELLULAR BIOLOGY 2019; 56:257-281. [PMID: 28840241 DOI: 10.1007/978-3-319-58592-5_11] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The chromosome biology field at large has benefited from studies of the cell cycle components, protein cascades and genomic landscape that are required for centromere identity, assembly and stable transgenerational inheritance. Research over the past 20 years has challenged the classical descriptions of a centromere as a stable, unmutable, and transcriptionally silent chromosome component. Instead, based on studies from a broad range of eukaryotic species, including yeast, fungi, plants, and animals, the centromere has been redefined as one of the more dynamic areas of the eukaryotic genome, requiring coordination of protein complex assembly, chromatin assembly, and transcriptional activity in a cell cycle specific manner. What has emerged from more recent studies is the realization that the transcription of specific types of nucleic acids is a key process in defining centromere integrity and function. To illustrate the transcriptional landscape of centromeres across eukaryotes, we focus this review on how transcripts interact with centromere proteins, when in the cell cycle centromeric transcription occurs, and what types of sequences are being transcribed. Utilizing data from broadly different organisms, a picture emerges that places centromeric transcription as an integral component of centromere function.
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Affiliation(s)
- Zachary Duda
- Department of Molecular and Cell Biology, The Institute for Systems Genomics, University of Connecticut, Storrs, CT, 06269, USA
| | - Sarah Trusiak
- Department of Molecular and Cell Biology, The Institute for Systems Genomics, University of Connecticut, Storrs, CT, 06269, USA
| | - Rachel O'Neill
- Department of Molecular and Cell Biology, The Institute for Systems Genomics, University of Connecticut, Storrs, CT, 06269, USA.
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Hosmani PS, Shippy T, Miller S, Benoit JB, Munoz-Torres M, Flores-Gonzalez M, Mueller LA, Wiersma-Koch H, D’Elia T, Brown SJ, Saha S. A quick guide for student-driven community genome annotation. PLoS Comput Biol 2019; 15:e1006682. [PMID: 30943207 PMCID: PMC6447164 DOI: 10.1371/journal.pcbi.1006682] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
High quality gene models are necessary to expand the molecular and genetic tools available for a target organism, but these are available for only a handful of model organisms that have undergone extensive curation and experimental validation over the course of many years. The majority of gene models present in biological databases today have been identified in draft genome assemblies using automated annotation pipelines that are frequently based on orthologs from distantly related model organisms and usually have minor or major errors. Manual curation is time consuming and often requires substantial expertise, but is instrumental in improving gene model structure and identification. Manual annotation may seem to be a daunting and cost-prohibitive task for small research communities but involving undergraduates in community genome annotation consortiums can be mutually beneficial for both education and improved genomic resources. We outline a workflow for efficient manual annotation driven by a team of primarily undergraduate annotators. This model can be scaled to large teams and includes quality control processes through incremental evaluation. Moreover, it gives students an opportunity to increase their understanding of genome biology and to participate in scientific research in collaboration with peers and senior researchers at multiple institutions.
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Affiliation(s)
| | - Teresa Shippy
- Division of Biology, Kansas State University, Manhattan, Kansas
| | - Sherry Miller
- Division of Biology, Kansas State University, Manhattan, Kansas
| | - Joshua B. Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, Ohio
| | - Monica Munoz-Torres
- Lawrence Berkeley National Laboratory, Environmental Genomics and Systems Biology, Berkeley, California
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon
| | | | | | | | - Tom D’Elia
- Indian River State College, Fort Pierce, Florida
| | - Susan J. Brown
- Division of Biology, Kansas State University, Manhattan, Kansas
| | - Surya Saha
- Boyce Thompson Institute, Ithaca, New York
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38
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Guillén Y, Casillas S, Ruiz A. Genome-Wide Patterns of Sequence Divergence of Protein-Coding Genes Between Drosophila buzzatii and D. mojavensis. J Hered 2019; 110:92-101. [PMID: 30124907 DOI: 10.1093/jhered/esy041] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 08/14/2018] [Indexed: 12/15/2022] Open
Abstract
Evolutionary rates for protein-coding genes are determined not only by natural selection but also by multiple genomic factors including mutation rates, recombination, gene expression levels, and chromosomal location. To investigate the joint effects of different genomic determinants on protein evolution, we compared the coding sequences of 9017 single-copy orthologs between 2 cactophilic species from the Drosophila subgenus, Drosophila mojavensis and D. buzzatii, whose genomes have been previously sequenced. We assessed the impact of 7 genomic determinants, that is, chromosome type, recombination, chromosomal inversions, expression breadth, expression level, gene length, and the number of exons, on divergence rates of protein-coding genes to understand patterns of evolutionary variation. Integrative analysis of these factors revealed that 1) X-linked and autosomal genes evolve at significantly different rates in agreement with the faster-X hypothesis, 2) genes located on the dot chromosome and pericentromeric regions have higher divergence rates, 3) genes located at chromosomes with more fixed inversions have higher pairwise divergence than those located at nearly collinear chromosomes, and 4) gene expression patterns can be considered the strongest determinant of protein evolution. In addition, the number of exons and protein length had a significant effect on pairwise divergence at synonymous sites. All in all, our results show the relative importance of each genomic factor on the rates of protein evolution and functional constraint in these 2 cactophilic Drosophila species.
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Affiliation(s)
- Yolanda Guillén
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain
| | - Sònia Casillas
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain.,The Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain
| | - Alfredo Ruiz
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain
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Yang H, Jaime M, Polihronakis M, Kanegawa K, Markow T, Kaneshiro K, Oliver B. Re-annotation of eight Drosophila genomes. Life Sci Alliance 2018; 1:e201800156. [PMID: 30599046 PMCID: PMC6305970 DOI: 10.26508/lsa.201800156] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 12/15/2018] [Accepted: 12/16/2018] [Indexed: 12/11/2022] Open
Abstract
The sequenced genomes of the Drosophila phylogeny are a central resource for comparative work supporting the understanding of the Drosophila melanogaster non-mammalian model system. These have also facilitated evolutionary studies on the selected and random differences that distinguish the thousands of extant species of Drosophila. However, full utility has been hampered by uneven genome annotation. We have generated a large expression profile dataset for nine species of Drosophila and trained a transcriptome assembly approach on D. melanogaster that best matched the extensively curated annotation. We then applied this to the other species to add more than 10000 transcript models per species. We also developed new orthologs to facilitate cross-species comparisons. We validated the new annotation of the distantly related Drosophila grimshawi with an extensive collection of newly sequenced cDNAs. This re-annotation will facilitate understanding both the core commonalities and the species differences in this important group of model organisms, and suggests a strategy for annotating the many forthcoming genomes covering the tree of life.
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Affiliation(s)
- Haiwang Yang
- Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Maria Jaime
- Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Maxi Polihronakis
- Drosophila Species Stock Center, Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kelvin Kanegawa
- Hawaiian Drosophila Research Stock Center, Pacific Biosciences Research Center, University of Hawai'i at Manoa, Honolulu, HI, USA
| | - Therese Markow
- National Laboratory of Genomics for Biodiversity (LANGEBIO), Irapuato, Guanajuato, Mexico.,Drosophila Species Stock Center, Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kenneth Kaneshiro
- Hawaiian Drosophila Research Stock Center, Pacific Biosciences Research Center, University of Hawai'i at Manoa, Honolulu, HI, USA
| | - Brian Oliver
- Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
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Smurova K, De Wulf P. Centromere and Pericentromere Transcription: Roles and Regulation … in Sickness and in Health. Front Genet 2018; 9:674. [PMID: 30627137 PMCID: PMC6309819 DOI: 10.3389/fgene.2018.00674] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 12/04/2018] [Indexed: 12/26/2022] Open
Abstract
The chromosomal loci known as centromeres (CEN) mediate the equal distribution of the duplicated genome between both daughter cells. Specifically, centromeres recruit a protein complex named the kinetochore, that bi-orients the replicated chromosome pairs to the mitotic or meiotic spindle structure. The paired chromosomes are then separated, and the individual chromosomes segregate in opposite direction along the regressing spindle into each daughter cell. Erroneous kinetochore assembly or activity produces aneuploid cells that contain an abnormal number of chromosomes. Aneuploidy may incite cell death, developmental defects (including genetic syndromes), and cancer (>90% of all cancer cells are aneuploid). While kinetochores and their activities have been preserved through evolution, the CEN DNA sequences have not. Hence, to be recognized as sites for kinetochore assembly, CEN display conserved structural themes. In addition, CEN nucleosomes enclose a CEN-exclusive variant of histone H3, named CENP-A, and carry distinct epigenetic labels on CENP-A and the other CEN histone proteins. Through the cell cycle, CEN are transcribed into non-coding RNAs. After subsequent processing, they become key components of the CEN chromatin by marking the CEN locus and by stably anchoring the CEN-binding kinetochore proteins. CEN transcription is tightly regulated, of low intensity, and essential for differentiation and development. Under- or overexpression of CEN transcripts, as documented for myriad cancers, provoke chromosome missegregation and aneuploidy. CEN are genetically stable and fully competent only when they are insulated from the surrounding, pericentromeric chromatin, which must be silenced. We will review CEN transcription and its contribution to faithful kinetochore function. We will further discuss how pericentromeric chromatin is silenced by RNA processing and transcriptionally repressive chromatin marks. We will report on the transcriptional misregulation of (peri)centromeres during stress, natural aging, and disease and reflect on whether their transcripts can serve as future diagnostic tools and anti-cancer targets in the clinic.
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Affiliation(s)
- Ksenia Smurova
- Centre for Integrative Biology, University of Trento, Trento, Italy
| | - Peter De Wulf
- Centre for Integrative Biology, University of Trento, Trento, Italy
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41
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Zauner H, Nogoy NA, Edmunds SC, Zhou H, Goodman L. Editorial: We need to talk about authorship. Gigascience 2018; 7:5114264. [PMID: 30277534 PMCID: PMC6283212 DOI: 10.1093/gigascience/giy122] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 09/24/2018] [Indexed: 11/13/2022] Open
Abstract
In our day-to-day editorial work at GigaScience, time and again we see issues cropping up that make us worry whether everyone understands good scientific practice when it comes to listing author names on the title page. There are many issues that underlie inappropriate authorship designations, but there are also guidelines to help potential authors determine when and how a researcher should be included with a manuscript. Here, we help clarify this and also provide a clear statement of our expectations around how authors are assigned to manuscripts submitted to GigaScience.
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Affiliation(s)
- Hans Zauner
- BGI Hong Kong Ltd., 16 Dai Fu Street, Tai Po Industrial Estate, NT, Hong Kong SAR, China
| | - Nicole A Nogoy
- BGI Hong Kong Ltd., 16 Dai Fu Street, Tai Po Industrial Estate, NT, Hong Kong SAR, China
| | - Scott C Edmunds
- BGI Hong Kong Ltd., 16 Dai Fu Street, Tai Po Industrial Estate, NT, Hong Kong SAR, China
| | - Hongling Zhou
- BGI Shenzhen, Bei Shan Industrial Zone, Yantian, Shenzhen, 518120, China
| | - Laurie Goodman
- BGI Hong Kong Ltd., 16 Dai Fu Street, Tai Po Industrial Estate, NT, Hong Kong SAR, China
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42
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Riddle NC, Elgin SCR. The Drosophila Dot Chromosome: Where Genes Flourish Amidst Repeats. Genetics 2018; 210:757-772. [PMID: 30401762 PMCID: PMC6218221 DOI: 10.1534/genetics.118.301146] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 08/17/2018] [Indexed: 11/18/2022] Open
Abstract
The F element of the Drosophila karyotype (the fourth chromosome in Drosophila melanogaster) is often referred to as the "dot chromosome" because of its appearance in a metaphase chromosome spread. This chromosome is distinct from other Drosophila autosomes in possessing both a high level of repetitious sequences (in particular, remnants of transposable elements) and a gene density similar to that found in the other chromosome arms, ∼80 genes distributed throughout its 1.3-Mb "long arm." The dot chromosome is notorious for its lack of recombination and is often neglected as a consequence. This and other features suggest that the F element is packaged as heterochromatin throughout. F element genes have distinct characteristics (e.g, low codon bias, and larger size due both to larger introns and an increased number of exons), but exhibit expression levels comparable to genes found in euchromatin. Mapping experiments show the presence of appropriate chromatin modifications for the formation of DNaseI hypersensitive sites and transcript initiation at the 5' ends of active genes, but, in most cases, high levels of heterochromatin proteins are observed over the body of these genes. These various features raise many interesting questions about the relationships of chromatin structures with gene and chromosome function. The apparent evolution of the F element as an autosome from an ancestral sex chromosome also raises intriguing questions. The findings argue that the F element is a unique chromosome that occupies its own space in the nucleus. Further study of the F element should provide new insights into chromosome structure and function.
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Affiliation(s)
- Nicole C Riddle
- Department of Biology, The University of Alabama at Birmingham, Alabama 35294
| | - Sarah C R Elgin
- Department of Biology, Washington University in St. Louis, Missouri 63130
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43
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Cheng C, Kirkpatrick M. Inversions are bigger on the X chromosome. Mol Ecol 2018; 28:1238-1245. [PMID: 30059177 DOI: 10.1111/mec.14819] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 03/22/2018] [Accepted: 04/02/2018] [Indexed: 12/22/2022]
Abstract
In many insects, X-linked inversions fix at a higher rate and are much less polymorphic than autosomal inversions. Here, we report that in Drosophila, X-linked inversions also capture 67% more genes. We estimated the number of genes captured through an approximate Bayesian computational analysis of gene orders in nine species of Drosophila. X-linked inversions fixed with a significantly larger gene content. Further, X-linked inversions of intermediate size enjoy highest fixation rate, while the fixation rate of autosomal inversions decreases with size. A less detailed analysis in Anopheles suggests a similar pattern holds in mosquitoes. We develop a population genetic model that assumes the fitness effects of inversions scale with the number of genes captured. We show that the same conditions that lead to a higher fixation rate also produce a larger size for inversions on the X.
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Affiliation(s)
- Changde Cheng
- Department of Integrative Biology, University of Texas, Austin, Texas
| | - Mark Kirkpatrick
- Department of Integrative Biology, University of Texas, Austin, Texas
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Affiliation(s)
- Bor Luen Tang
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
- Research Compliance and Integrity Office, National University of Singapore, Singapore
- Department of Biochemistry, National University of Singapore, Singapore
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45
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Corwin LA, Dolan EL, Graham MJ, Hanauer DI, Pelaez N. The Need to Be Sure About CUREs: Discovery and Relevance as Critical Elements of CUREs for Nonmajors. JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATION 2018; 19:jmbe-19-102. [PMID: 30377476 PMCID: PMC6203632 DOI: 10.1128/jmbe.v19i3.1683] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 09/14/2018] [Indexed: 05/06/2023]
Affiliation(s)
- Lisa A Corwin
- Ecology & Evolutionary Biology, University of Colorado Boulder, Boulder, CO,
| | - Erin L Dolan
- Biochemistry & Molecular Biology, University of Georgia, Athens, GA,
| | - Mark J Graham
- STEM Program Evaluation and Research Lab (STEM-PERL), Ecology & Evolutionary Biology, Yale University, New Haven, CT,
| | - David I Hanauer
- Professor of Applied Linguistics/English, Indiana University of Pennsylvania, Indiana, PA,
| | - Nancy Pelaez
- Department of Biological Sciences, Purdue University, West Lafayette, IN,
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Reeves TD, Warner DM, Ludlow LH, O'Connor CM. Pathways over Time: Functional Genomics Research in an Introductory Laboratory Course. CBE LIFE SCIENCES EDUCATION 2018; 17:ar1. [PMID: 29326101 PMCID: PMC6007769 DOI: 10.1187/cbe.17-01-0012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 07/28/2017] [Accepted: 10/04/2017] [Indexed: 05/30/2023]
Abstract
National reports have called for the introduction of research experiences throughout the undergraduate curriculum, but practical implementation at many institutions faces challenges associated with sustainability, cost, and large student populations. We describe a novel course-based undergraduate research experience (CURE) that introduces introductory-level students to research in functional genomics in a 3-credit, multisection laboratory class. In the Pathways over Time class project, students study the functional conservation of the methionine biosynthetic pathway between divergent yeast species. Over the five semesters described in this study, students (N = 793) showed statistically significant and sizable growth in content knowledge (d = 1.85) and in self-reported research methods skills (d = 0.65), experimental design, oral and written communication, database use, and collaboration. Statistical analyses indicated that content knowledge growth was larger for underrepresented minority students and that growth in content knowledge, but not research skills, varied by course section. Our findings add to the growing body of evidence that CUREs can support the scientific development of large numbers of students with diverse characteristics. The Pathways over Time project is designed to be sustainable and readily adapted to other institutional settings.
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Affiliation(s)
- Todd D Reeves
- Department of Measurement, Evaluation, Statistics, and Assessment, Boston College, Chestnut Hill, MA 02467
| | | | - Larry H Ludlow
- Department of Measurement, Evaluation, Statistics, and Assessment, Boston College, Chestnut Hill, MA 02467
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47
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Haas KL, Heemstra JM, Medema MH, Charkoudian LK. Collaborating with Undergraduates To Contribute to Biochemistry Community Resources. Biochemistry 2017; 57:383-389. [PMID: 29048882 DOI: 10.1021/acs.biochem.7b00872] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Course-based undergraduate research experiences (CUREs) have gained traction as effective ways to expand the impact of undergraduate research while fulfilling pedagogical goals. In this Perspective, we present innovative ways to incorporate fundamental benefits and principles of CUREs into a classroom environment through information/technology-based research projects that lead to student-generated contributions to digital community resources (CoRes). These projects represent an attractive class of CUREs because they are less resource-intensive than laboratory-based CUREs, and the projects align with the expectations of today's students to create rapid and publicly accessible contributions to society. We provide a detailed discussion of two example types of CoRe projects that can be implemented in courses to impact research and education at the chemistry-biology interface: bioinformatics annotations and development of educational tools. Finally, we present current resources available for faculty interested in incorporating CUREs or CoRe projects into their pedagogical practices. In sharing these stories and resources, we hope to lower the barrier for widespread adoption of CURE and CoRe approaches and generate discussions about how to utilize the classroom experience to make a positive impact on our students and the future of the field of biochemistry.
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Affiliation(s)
- Kathryn L Haas
- Department of Chemistry & Physics, Saint Mary's College , Notre Dame, Indiana 46556, United States
| | - Jennifer M Heemstra
- Department of Chemistry, Emory University , Atlanta, Georgia 30322, United States
| | - Marnix H Medema
- Bioinformatics Group, Wageningen University , Droevendaalsesteeg 1, 6708PB Wageningen, The Netherlands
| | - Louise K Charkoudian
- Department of Chemistry, Haverford College , Haverford, Pennsylvania 19041-1392, United States
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48
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Zhao L, Begun DJ. Genomics of parallel adaptation at two timescales in Drosophila. PLoS Genet 2017; 13:e1007016. [PMID: 28968391 PMCID: PMC5638604 DOI: 10.1371/journal.pgen.1007016] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 10/12/2017] [Accepted: 09/11/2017] [Indexed: 01/05/2023] Open
Abstract
Two interesting unanswered questions are the extent to which both the broad patterns and genetic details of adaptive divergence are repeatable across species, and the timescales over which parallel adaptation may be observed. Drosophila melanogaster is a key model system for population and evolutionary genomics. Findings from genetics and genomics suggest that recent adaptation to latitudinal environmental variation (on the timescale of hundreds or thousands of years) associated with Out-of-Africa colonization plays an important role in maintaining biological variation in the species. Additionally, studies of interspecific differences between D. melanogaster and its sister species D. simulans have revealed that a substantial proportion of proteins and amino acid residues exhibit adaptive divergence on a roughly few million years long timescale. Here we use population genomic approaches to attack the problem of parallelism between D. melanogaster and a highly diverged conger, D. hydei, on two timescales. D. hydei, a member of the repleta group of Drosophila, is similar to D. melanogaster, in that it too appears to be a recently cosmopolitan species and recent colonizer of high latitude environments. We observed parallelism both for genes exhibiting latitudinal allele frequency differentiation within species and for genes exhibiting recurrent adaptive protein divergence between species. Greater parallelism was observed for long-term adaptive protein evolution and this parallelism includes not only the specific genes/proteins that exhibit adaptive evolution, but extends even to the magnitudes of the selective effects on interspecific protein differences. Thus, despite the roughly 50 million years of time separating D. melanogaster and D. hydei, and despite their considerably divergent biology, they exhibit substantial parallelism, suggesting the existence of a fundamental predictability of adaptive evolution in the genus. Both local adaptation on short timescales and the long-term accumulation of adaptive differences between species have recently been investigated using comparative genomic and population genomic approaches in several species. However, the repeatability of adaptive evolution at the genetic level is poorly understood. Here we attack this problem by comparing patterns of long and short-term adaptation in Drosophila melanogaster to patterns of adaptation on two timescales in a highly diverged congener, Drosophila hydei. We found, despite the fact that these species diverged from a common ancestor roughly 50 million years ago, the population genomics of latitudinal allele frequency differentiation shows that there is a substantial shared set of genes likely playing a role in the short term adaptive divergence of populations in both species. Analyses of longer-term adaptive protein divergence for the D. hydei-D. mojavensis and D. melanogaster-D. simulans clades reveal a striking level of parallel adaptation. This parallelism includes not only the specific genes/proteins that exhibit adaptive evolution, but extends even to the magnitudes of the selective effects on interspecific protein differences.
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Affiliation(s)
- Li Zhao
- Department of Evolution and Ecology, University of California Davis, Davis, California, United States of America
- Laboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, New York, United States of America
- * E-mail:
| | - David J. Begun
- Department of Evolution and Ecology, University of California Davis, Davis, California, United States of America
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Leung W, Shaffer CD, Chen EJ, Quisenberry TJ, Ko K, Braverman JM, Giarla TC, Mortimer NT, Reed LK, Smith ST, Robic S, McCartha SR, Perry DR, Prescod LM, Sheppard ZA, Saville KJ, McClish A, Morlock EA, Sochor VR, Stanton B, Veysey-White IC, Revie D, Jimenez LA, Palomino JJ, Patao MD, Patao SM, Himelblau ET, Campbell JD, Hertz AL, McEvilly MF, Wagner AR, Youngblom J, Bedi B, Bettincourt J, Duso E, Her M, Hilton W, House S, Karimi M, Kumimoto K, Lee R, Lopez D, Odisho G, Prasad R, Robbins HL, Sandhu T, Selfridge T, Tsukashima K, Yosif H, Kokan NP, Britt L, Zoellner A, Spana EP, Chlebina BT, Chong I, Friedman H, Mammo DA, Ng CL, Nikam VS, Schwartz NU, Xu TQ, Burg MG, Batten SM, Corbeill LM, Enoch E, Ensign JJ, Franks ME, Haiker B, Ingles JA, Kirkland LD, Lorenz-Guertin JM, Matthews J, Mittig CM, Monsma N, Olson KJ, Perez-Aragon G, Ramic A, Ramirez JR, Scheiber C, Schneider PA, Schultz DE, Simon M, Spencer E, Wernette AC, Wykle ME, Zavala-Arellano E, McDonald MJ, Ostby K, Wendland P, DiAngelo JR, Ceasrine AM, Cox AH, Docherty JEB, Gingras RM, Grieb SM, Pavia MJ, Personius CL, Polak GL, Beach DL, Cerritos HL, et alLeung W, Shaffer CD, Chen EJ, Quisenberry TJ, Ko K, Braverman JM, Giarla TC, Mortimer NT, Reed LK, Smith ST, Robic S, McCartha SR, Perry DR, Prescod LM, Sheppard ZA, Saville KJ, McClish A, Morlock EA, Sochor VR, Stanton B, Veysey-White IC, Revie D, Jimenez LA, Palomino JJ, Patao MD, Patao SM, Himelblau ET, Campbell JD, Hertz AL, McEvilly MF, Wagner AR, Youngblom J, Bedi B, Bettincourt J, Duso E, Her M, Hilton W, House S, Karimi M, Kumimoto K, Lee R, Lopez D, Odisho G, Prasad R, Robbins HL, Sandhu T, Selfridge T, Tsukashima K, Yosif H, Kokan NP, Britt L, Zoellner A, Spana EP, Chlebina BT, Chong I, Friedman H, Mammo DA, Ng CL, Nikam VS, Schwartz NU, Xu TQ, Burg MG, Batten SM, Corbeill LM, Enoch E, Ensign JJ, Franks ME, Haiker B, Ingles JA, Kirkland LD, Lorenz-Guertin JM, Matthews J, Mittig CM, Monsma N, Olson KJ, Perez-Aragon G, Ramic A, Ramirez JR, Scheiber C, Schneider PA, Schultz DE, Simon M, Spencer E, Wernette AC, Wykle ME, Zavala-Arellano E, McDonald MJ, Ostby K, Wendland P, DiAngelo JR, Ceasrine AM, Cox AH, Docherty JEB, Gingras RM, Grieb SM, Pavia MJ, Personius CL, Polak GL, Beach DL, Cerritos HL, Horansky EA, Sharif KA, Moran R, Parrish S, Bickford K, Bland J, Broussard J, Campbell K, Deibel KE, Forka R, Lemke MC, Nelson MB, O'Keeffe C, Ramey SM, Schmidt L, Villegas P, Jones CJ, Christ SL, Mamari S, Rinaldi AS, Stity G, Hark AT, Scheuerman M, Silver Key SC, McRae BD, Haberman AS, Asinof S, Carrington H, Drumm K, Embry T, McGuire R, Miller-Foreman D, Rosen S, Safa N, Schultz D, Segal M, Shevin Y, Svoronos P, Vuong T, Skuse G, Paetkau DW, Bridgman RK, Brown CM, Carroll AR, Gifford FM, Gillespie JB, Herman SE, Holtcamp KL, Host MA, Hussey G, Kramer DM, Lawrence JQ, Martin MM, Niemiec EN, O'Reilly AP, Pahl OA, Quintana G, Rettie EAS, Richardson TL, Rodriguez AE, Rodriguez MO, Schiraldi L, Smith JJ, Sugrue KF, Suriano LJ, Takach KE, Vasquez AM, Velez X, Villafuerte EJ, Vives LT, Zellmer VR, Hauke J, Hauser CR, Barker K, Cannon L, Parsamian P, Parsons S, Wichman Z, Bazinet CW, Johnson DE, Bangura A, Black JA, Chevee V, Einsteen SA, Hilton SK, Kollmer M, Nadendla R, Stamm J, Fafara-Thompson AE, Gygi AM, Ogawa EE, Van Camp M, Kocsisova Z, Leatherman JL, Modahl CM, Rubin MR, Apiz-Saab SS, Arias-Mejias SM, Carrion-Ortiz CF, Claudio-Vazquez PN, Espada-Green DM, Feliciano-Camacho M, Gonzalez-Bonilla KM, Taboas-Arroyo M, Vargas-Franco D, Montañez-Gonzalez R, Perez-Otero J, Rivera-Burgos M, Rivera-Rosario FJ, Eisler HL, Alexander J, Begley SK, Gabbard D, Allen RJ, Aung WY, Barshop WD, Boozalis A, Chu VP, Davis JS, Duggal RN, Franklin R, Gavinski K, Gebreyesus H, Gong HZ, Greenstein RA, Guo AD, Hanson C, Homa KE, Hsu SC, Huang Y, Huo L, Jacobs S, Jia S, Jung KL, Wai-Chee Kong S, Kroll MR, Lee BM, Lee PF, Levine KM, Li AS, Liu C, Liu MM, Lousararian AP, Lowery PB, Mallya AP, Marcus JE, Ng PC, Nguyen HP, Patel R, Precht H, Rastogi S, Sarezky JM, Schefkind A, Schultz MB, Shen D, Skorupa T, Spies NC, Stancu G, Vivian Tsang HM, Turski AL, Venkat R, Waldman LE, Wang K, Wang T, Wei JW, Wu DY, Xiong DD, Yu J, Zhou K, McNeil GP, Fernandez RW, Menzies PG, Gu T, Buhler J, Mardis ER, Elgin SCR. Retrotransposons Are the Major Contributors to the Expansion of the Drosophila ananassae Muller F Element. G3 (BETHESDA, MD.) 2017; 7:2439-2460. [PMID: 28667019 PMCID: PMC5555453 DOI: 10.1534/g3.117.040907] [Show More Authors] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Accepted: 04/03/2017] [Indexed: 11/24/2022]
Abstract
The discordance between genome size and the complexity of eukaryotes can partly be attributed to differences in repeat density. The Muller F element (∼5.2 Mb) is the smallest chromosome in Drosophila melanogaster, but it is substantially larger (>18.7 Mb) in D. ananassae To identify the major contributors to the expansion of the F element and to assess their impact, we improved the genome sequence and annotated the genes in a 1.4-Mb region of the D. ananassae F element, and a 1.7-Mb region from the D element for comparison. We find that transposons (particularly LTR and LINE retrotransposons) are major contributors to this expansion (78.6%), while Wolbachia sequences integrated into the D. ananassae genome are minor contributors (0.02%). Both D. melanogaster and D. ananassae F-element genes exhibit distinct characteristics compared to D-element genes (e.g., larger coding spans, larger introns, more coding exons, and lower codon bias), but these differences are exaggerated in D. ananassae Compared to D. melanogaster, the codon bias observed in D. ananassae F-element genes can primarily be attributed to mutational biases instead of selection. The 5' ends of F-element genes in both species are enriched in dimethylation of lysine 4 on histone 3 (H3K4me2), while the coding spans are enriched in H3K9me2. Despite differences in repeat density and gene characteristics, D. ananassae F-element genes show a similar range of expression levels compared to genes in euchromatic domains. This study improves our understanding of how transposons can affect genome size and how genes can function within highly repetitive domains.
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Affiliation(s)
- Wilson Leung
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | | | - Elizabeth J Chen
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | | | - Kevin Ko
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - John M Braverman
- Department of Biology, Saint Joseph's University, Philadelphia, PA 19131
| | | | - Nathan T Mortimer
- School of Biological Sciences, Illinois State University, Normal, IL 61790
| | - Laura K Reed
- Department of Biological Sciences, University of Alabama, Tuscaloosa, AL 35401
| | - Sheryl T Smith
- Department of Biology, Arcadia University, Glenside, PA 19038
| | - Srebrenka Robic
- Department of Biology, Agnes Scott College, Decatur, GA 30030
| | | | | | | | | | - Ken J Saville
- Department of Biology, Albion College, Albion, MI 49224
| | | | | | | | | | | | - Dennis Revie
- Department of Biology, California Lutheran University, Thousand Oaks, CA 91360
| | - Luis A Jimenez
- Department of Biology, California Lutheran University, Thousand Oaks, CA 91360
| | - Jennifer J Palomino
- Department of Biology, California Lutheran University, Thousand Oaks, CA 91360
| | - Melissa D Patao
- Department of Biology, California Lutheran University, Thousand Oaks, CA 91360
| | - Shane M Patao
- Department of Biology, California Lutheran University, Thousand Oaks, CA 91360
| | - Edward T Himelblau
- Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93405
| | - Jaclyn D Campbell
- Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93405
| | - Alexandra L Hertz
- Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93405
| | - Maddison F McEvilly
- Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93405
| | - Allison R Wagner
- Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93405
| | - James Youngblom
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Baljit Bedi
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Jeffery Bettincourt
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Erin Duso
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Maiye Her
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - William Hilton
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Samantha House
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Masud Karimi
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Kevin Kumimoto
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Rebekah Lee
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Darryl Lopez
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - George Odisho
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Ricky Prasad
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Holly Lyn Robbins
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Tanveer Sandhu
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Tracy Selfridge
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Kara Tsukashima
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Hani Yosif
- Department of Biology, California State University, Stanislaus, Turlock, CA 95382
| | - Nighat P Kokan
- Department of Natural Sciences, Cardinal Stritch University, Milwaukee, WI 53217
| | - Latia Britt
- Department of Natural Sciences, Cardinal Stritch University, Milwaukee, WI 53217
| | - Alycia Zoellner
- Department of Natural Sciences, Cardinal Stritch University, Milwaukee, WI 53217
| | - Eric P Spana
- Department of Biology, Duke University, Durham, NC 27708
| | - Ben T Chlebina
- Department of Biology, Duke University, Durham, NC 27708
| | - Insun Chong
- Department of Biology, Duke University, Durham, NC 27708
| | | | - Danny A Mammo
- Department of Biology, Duke University, Durham, NC 27708
| | - Chun L Ng
- Department of Biology, Duke University, Durham, NC 27708
| | | | | | - Thomas Q Xu
- Department of Biology, Duke University, Durham, NC 27708
| | - Martin G Burg
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Spencer M Batten
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Lindsay M Corbeill
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Erica Enoch
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Jesse J Ensign
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Mary E Franks
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Breanna Haiker
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Judith A Ingles
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Lyndsay D Kirkland
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Joshua M Lorenz-Guertin
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Jordan Matthews
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Cody M Mittig
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Nicholaus Monsma
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Katherine J Olson
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Guillermo Perez-Aragon
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Alen Ramic
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Jordan R Ramirez
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Christopher Scheiber
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Patrick A Schneider
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Devon E Schultz
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Matthew Simon
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Eric Spencer
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Adam C Wernette
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Maxine E Wykle
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Elizabeth Zavala-Arellano
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Mitchell J McDonald
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Kristine Ostby
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | - Peter Wendland
- Departments of Biomedical Sciences and Cell and Molecular Biology, Grand Valley State University, Allendale, MI 49401
| | | | | | - Amanda H Cox
- Department of Biology, Hofstra University, Hempstead, NY 11549
| | | | | | | | - Michael J Pavia
- Department of Biology, Hofstra University, Hempstead, NY 11549
| | | | | | - Dale L Beach
- Department of Biological and Environmental Sciences, Longwood University, Farmville, VA 23909
| | - Heaven L Cerritos
- Department of Biological and Environmental Sciences, Longwood University, Farmville, VA 23909
| | - Edward A Horansky
- Department of Biological and Environmental Sciences, Longwood University, Farmville, VA 23909
| | - Karim A Sharif
- Department of Biology, Massasoit Community College, Brockton, MA 02302
| | - Ryan Moran
- Department of Biology, Massasoit Community College, Brockton, MA 02302
| | - Susan Parrish
- Department of Biology, McDaniel College, Westminster, MD 21157
| | | | - Jennifer Bland
- Department of Biology, McDaniel College, Westminster, MD 21157
| | | | - Kerry Campbell
- Department of Biology, McDaniel College, Westminster, MD 21157
| | | | - Richard Forka
- Department of Biology, McDaniel College, Westminster, MD 21157
| | - Monika C Lemke
- Department of Biology, McDaniel College, Westminster, MD 21157
| | - Marlee B Nelson
- Department of Biology, McDaniel College, Westminster, MD 21157
| | | | - S Mariel Ramey
- Department of Biology, McDaniel College, Westminster, MD 21157
| | - Luke Schmidt
- Department of Biology, McDaniel College, Westminster, MD 21157
| | - Paola Villegas
- Department of Biology, McDaniel College, Westminster, MD 21157
| | | | - Stephanie L Christ
- Department of Biological Sciences, Moravian College, Bethlehem, PA 18018
| | - Sami Mamari
- Department of Biological Sciences, Moravian College, Bethlehem, PA 18018
| | - Adam S Rinaldi
- Department of Biological Sciences, Moravian College, Bethlehem, PA 18018
| | - Ghazal Stity
- Department of Biological Sciences, Moravian College, Bethlehem, PA 18018
| | - Amy T Hark
- Department of Biology, Muhlenberg College, Allentown, PA 18104
| | - Mark Scheuerman
- Department of Biology, Muhlenberg College, Allentown, PA 18104
| | - S Catherine Silver Key
- Department of Biological & Biomedical Sciences, North Carolina Central University, Durham, NC 27707
| | - Briana D McRae
- Department of Biological & Biomedical Sciences, North Carolina Central University, Durham, NC 27707
| | | | - Sam Asinof
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | | | - Kelly Drumm
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | - Terrance Embry
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | | | | | - Stella Rosen
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | - Nadia Safa
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | - Darrin Schultz
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | - Matt Segal
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | - Yakov Shevin
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | | | - Tam Vuong
- Department of Biology, Oberlin College, Oberlin, OH 44074
| | - Gary Skuse
- Thomas H. Gosnell School of Life Sciences, Rochester Institute of Technology, Rochester, NY 14623
| | - Don W Paetkau
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | | | - Alicia R Carroll
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | | | - Susan E Herman
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | - Misha A Host
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | - Gabrielle Hussey
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | - Joan Q Lawrence
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | - Ellen N Niemiec
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | - Olivia A Pahl
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | | | | | | | - Mona O Rodriguez
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | - Laura Schiraldi
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | - Joanna J Smith
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | - Kelsey F Sugrue
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | - Kaitlyn E Takach
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | - Ximena Velez
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | - Laura T Vives
- Department of Biology, Saint Mary's College, Notre Dame, IN 46556
| | | | - Jeanette Hauke
- Department of Biology, Simmons College, Boston, MA 02115
| | - Charles R Hauser
- Bioinformatics Program, St. Edward's University, Austin, TX 78704
| | - Karolyn Barker
- Bioinformatics Program, St. Edward's University, Austin, TX 78704
| | - Laurie Cannon
- Bioinformatics Program, St. Edward's University, Austin, TX 78704
| | | | - Samantha Parsons
- Bioinformatics Program, St. Edward's University, Austin, TX 78704
| | | | | | - Diana E Johnson
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Abubakarr Bangura
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Jordan A Black
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Victoria Chevee
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Sarah A Einsteen
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Sarah K Hilton
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Max Kollmer
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Rahul Nadendla
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Joyce Stamm
- Department of Biology, University of Evansville, Evansville, IN 47722
| | | | - Amber M Gygi
- Department of Biology, University of Evansville, Evansville, IN 47722
| | - Emmy E Ogawa
- Department of Biology, University of Evansville, Evansville, IN 47722
| | - Matt Van Camp
- Department of Biology, University of Evansville, Evansville, IN 47722
| | - Zuzana Kocsisova
- Department of Biology, University of Evansville, Evansville, IN 47722
| | - Judith L Leatherman
- Department of Biological Sciences, University of Northern Colorado, Greeley, CO 80639
| | - Cassie M Modahl
- Department of Biological Sciences, University of Northern Colorado, Greeley, CO 80639
| | - Michael R Rubin
- Department of Biology, University of Puerto Rico at Cayey, Cayey, PR 00736
| | - Susana S Apiz-Saab
- Department of Biology, University of Puerto Rico at Cayey, Cayey, PR 00736
| | | | | | | | | | | | | | | | | | | | - Joseph Perez-Otero
- Department of Biology, University of Puerto Rico at Cayey, Cayey, PR 00736
| | | | | | - Heather L Eisler
- Department of Biology, University of the Cumberlands, Williamsburg, KY 40769
| | - Jackie Alexander
- Department of Biology, University of the Cumberlands, Williamsburg, KY 40769
| | - Samatha K Begley
- Department of Biology, University of the Cumberlands, Williamsburg, KY 40769
| | - Deana Gabbard
- Department of Biology, University of the Cumberlands, Williamsburg, KY 40769
| | - Robert J Allen
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Sarah Jacobs
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Sasha Jia
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Kyle L Jung
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Sarah Wai-Chee Kong
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Matthew R Kroll
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Brandon M Lee
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Paul F Lee
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Kevin M Levine
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Amy S Li
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Chengyu Liu
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Max Mian Liu
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| | - Adam P Lousararian
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| | - Peter B Lowery
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Allyson P Mallya
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Hien P Nguyen
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Ruchik Patel
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Hashini Precht
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Suchita Rastogi
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Jonathan M Sarezky
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Adam Schefkind
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | | | - Alice L Turski
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Rohit Venkat
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Leah E Waldman
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Kaidi Wang
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Tracy Wang
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Jeffrey W Wei
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Dennis Y Wu
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - David D Xiong
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Jack Yu
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Karen Zhou
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Gerard P McNeil
- Department of Biology, York College / CUNY, Jamaica, NY 11451
| | | | | | - Tingting Gu
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
| | - Jeremy Buhler
- Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130
| | - Elaine R Mardis
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108
| | - Sarah C R Elgin
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130
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Dolan EL. Undergraduate research as curriculum. BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION : A BIMONTHLY PUBLICATION OF THE INTERNATIONAL UNION OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 2017; 45:293-298. [PMID: 28696054 DOI: 10.1002/bmb.21070] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/26/2017] [Indexed: 06/07/2023]
Abstract
To date, national interests, policies, and calls for transformation of undergraduate education have been the main drivers of research integration into the undergraduate curriculum, briefly described here. The New Horizons in Biochemistry and Molecular Biology Education conference at the Weizmann Institute of Science (Israel) this fall presents an exciting opportunity to discuss integration of undergraduate research into the curriculum and other cutting-edge topics in biochemistry and molecular biology education from a cross-national perspective. I look forward to exploring prospects for international collaboration on research and development of course-based undergraduate research experiences and on STEM education in general. © 2017 by The International Union of Biochemistry and Molecular Biology, 45(4):293-298, 2017.
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