1
|
Martonos CO, Gudea AI, Rawlins G, Stan FG, Lațiu C, Dezdrobitu CC. Morphological, Morphometrical and Radiological Features of the Pelvic Limb Skeleton in African Green Monkeys ( Chlorocebus sabaeus) from Saint Kitts and Nevis Islands. Animals (Basel) 2025; 15:209. [PMID: 39858211 PMCID: PMC11758301 DOI: 10.3390/ani15020209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2024] [Revised: 01/07/2025] [Accepted: 01/10/2025] [Indexed: 01/27/2025] Open
Abstract
The paper presents a detailed gross anatomical description of the elements of the pelvic limb in the African green monkey and provides comparative and differential elements on pelvic limb monkey osteology. The osteometric investigation adds value to the gross morphological and radiological investigation, adjoining metric data to the gross descriptive data set. The main methodology used was the gross morphological investigation, doubled by regular osteometrical and radiographical assessments. For each of the elements, several morphological aspects are described, pointing to the specific and differential aspects that might serve as landmarks in the specific diagnosis of different adaptative changes, related to the type of locomotion. For the pelvis, the aspect of the symphysis, the overall shape of the pelvic inlet, the iliac wing aspect and the acetabular shape are listed as significant elements. The femur has a spherical head with an inferior position of the femoral fovea and a well-developed (tall) greater trochanter, lacking the third trochanter. The medial condyle of the femur is better developed than the lateral one and an evident extensor's fossa is noted at the level of the distal shaft. The proximal lateral condyloid surface in the tibia is slightly larger than the medial one, with noticeable intercondilar eminences. The fibula is long and unfused with the tibia. Some specific anatomical features are listed only for the talus and calcaneus from tarsals. The study revealed the presence of the gastrocnemius sesamoid bones and the proximal sesamoidi bones as well. Investigation presents a series of osteometrical data with an attempt to show some basic metrical differences among the investigated specimens.
Collapse
Affiliation(s)
- Cristian Olimpiu Martonos
- Department of Biomedical Sciences, Ross University School of Veterinary Medicine, Basseterre P.O. Box 334, Saint Kitts and Nevis; (C.O.M.); (G.R.); (C.C.D.)
| | - Alexandru Ion Gudea
- Department of Anatomy, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Romania, Calea Mănăştur 3-5, 400372 Cluj-Napoca, Romania;
| | - Gilda Rawlins
- Department of Biomedical Sciences, Ross University School of Veterinary Medicine, Basseterre P.O. Box 334, Saint Kitts and Nevis; (C.O.M.); (G.R.); (C.C.D.)
| | - Florin Gheorghe Stan
- Department of Anatomy, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Romania, Calea Mănăştur 3-5, 400372 Cluj-Napoca, Romania;
| | - Calin Lațiu
- Faculty of Animal Husbandry and Biotechnologies, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Romania, Calea Mănăştur 3-5, 400372 Cluj-Napoca, Romania;
| | - Cristian Constantin Dezdrobitu
- Department of Biomedical Sciences, Ross University School of Veterinary Medicine, Basseterre P.O. Box 334, Saint Kitts and Nevis; (C.O.M.); (G.R.); (C.C.D.)
| |
Collapse
|
2
|
Versoza CJ, Lloret-Villas A, Jensen JD, Pfeifer SP. A pedigree-based map of crossovers and non-crossovers in aye-ayes ( Daubentonia madagascariensis). BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.08.622675. [PMID: 39605366 PMCID: PMC11601232 DOI: 10.1101/2024.11.08.622675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Gaining a better understanding of rates and patterns of meiotic recombination is crucial for improving evolutionary genomic modelling, with applications ranging from demographic to selective inference. Although previous research has provided important insights into the landscape of crossovers in humans and other haplorrhines, our understanding of both the considerably more common outcome of recombination (i.e., non-crossovers) as well as the landscapes in more distantly-related primates (i.e., strepsirrhines) remains limited owing to difficulties associated with both the identification of non-crossover tracts as well as species sampling. Thus, in order to elucidate recombination patterns in this under-studied branch of the primate clade, we here characterize crossover and non-crossover landscapes in aye-ayes utilizing whole-genome sequencing data from six three-generation pedigrees as well as three two-generation multi-sibling families, and in so doing provide novel insights into this important evolutionary process shaping genomic diversity in one of the world's most critically endangered primate species.
Collapse
Affiliation(s)
- Cyril J. Versoza
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Audald Lloret-Villas
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Jeffrey D. Jensen
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Susanne P. Pfeifer
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| |
Collapse
|
3
|
Pletcher JS, Zimmer JL, Liu CC, Beierschmitt A, Lewin AC. Ocular examination findings and selected ophthalmic diagnostic tests in African green monkeys (Chlorocebus aethiops sabaeus). Vet Ophthalmol 2024; 27:158-169. [PMID: 37442802 DOI: 10.1111/vop.13132] [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: 04/08/2023] [Revised: 06/26/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023]
Abstract
OBJECTIVE To document ocular lesions and establish ophthalmic diagnostic test reference values in a colony of African green monkeys (Chlorocebus aethiops sabaeus). ANIMALS STUDIED Fifty one geriatric (GAGM, 19-30 years old), 10 adult (AAGM, 5-9 years old) and 10 juvenile (JAGM, <2 years old) African green monkeys housed in a single Caribbean research colony. PROCEDURES Ocular biomicroscopy, indirect fundoscopy, Schirmer tear test (STT), rebound tonometry (TonoVet®) and corneal fluorescein staining were performed. Mixed ANCOVA tests were performed to compare STT and IOP between groups. RESULTS Common ocular lesions in GAGM included vitreal degeneration (27/51, 51/102 eyes) and cataracts (21/51, 32/102 eyes). Vitreal degeneration was also common in AAGM (8/10, 16/20 eyes) and infrequent in JAGM (3/10, 6/20 eyes). Cataracts were not present in any JAGM or AAGM. All eyes in all three groups had perilimbal corneal pigmentation and faint lace-like anterior corneal stromal opacification. Median (range) STT values were 16.0 (18) mm/min in GAGM. Mean (SD) STT values were 14.2 (4.6) mm/min in AAGM, and 8.9 (3.4) mm/min in JAGM. Median (range) IOP values were 16.5 (27) mmHg in GAGM. Mean (SD) IOP values were 18.0 (2.8) mmHg in AAGM, and 14.1 (2.2) mmHg in JAGM. JAGM had significantly lower STT and IOP values compared to AAGM (p = .0449, .0057, respectively) and GAGM (p = .0002, .0130, respectively). CONCLUSIONS Spontaneous ocular lesions were common in geriatric monkeys in this research colony. IOP and STT values were lower in juvenile African green monkeys relative to adult or geriatric animals.
Collapse
Affiliation(s)
- Jacklin S Pletcher
- Matthew J. Ryan Veterinary Hospital, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jennifer L Zimmer
- Oakland Veterinary Referral Services, Bloomfield Township, Michigan, USA
| | - Chin-Chi Liu
- Department of Veterinary Clinical Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Amy Beierschmitt
- Behavioural Science Foundation, Estridge Estate, Saint Kitts and Nevis
| | - Andrew C Lewin
- Department of Veterinary Clinical Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana, USA
| |
Collapse
|
4
|
Versoza CJ, Weiss S, Johal R, La Rosa B, Jensen JD, Pfeifer SP. Novel Insights into the Landscape of Crossover and Noncrossover Events in Rhesus Macaques (Macaca mulatta). Genome Biol Evol 2024; 16:evad223. [PMID: 38051960 PMCID: PMC10773715 DOI: 10.1093/gbe/evad223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/04/2023] [Accepted: 11/28/2023] [Indexed: 12/07/2023] Open
Abstract
Meiotic recombination landscapes differ greatly between distantly and closely related taxa, populations, individuals, sexes, and even within genomes; however, the factors driving this variation are yet to be well elucidated. Here, we directly estimate contemporary crossover rates and, for the first time, noncrossover rates in rhesus macaques (Macaca mulatta) from four three-generation pedigrees comprising 32 individuals. We further compare these results with historical, demography-aware, linkage disequilibrium-based recombination rate estimates. From paternal meioses in the pedigrees, 165 crossover events with a median resolution of 22.3 kb were observed, corresponding to a male autosomal map length of 2,357 cM-approximately 15% longer than an existing linkage map based on human microsatellite loci. In addition, 85 noncrossover events with a mean tract length of 155 bp were identified-similar to the tract lengths observed in the only other two primates in which noncrossovers have been studied to date, humans and baboons. Consistent with observations in other placental mammals with PRDM9-directed recombination, crossover (and to a lesser extent noncrossover) events in rhesus macaques clustered in intergenic regions and toward the chromosomal ends in males-a pattern in broad agreement with the historical, sex-averaged recombination rate estimates-and evidence of GC-biased gene conversion was observed at noncrossover sites.
Collapse
Affiliation(s)
- Cyril J Versoza
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Sarah Weiss
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Ravneet Johal
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Bruno La Rosa
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Jeffrey D Jensen
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Susanne P Pfeifer
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| |
Collapse
|
5
|
Aderinto N, Abdulbasit M, Olatunji G, Edun M. The landscape of neuroscience research in Africa: current state, progress, and challenges; a perspective. Ann Med Surg (Lond) 2023; 85:5267-5274. [PMID: 37811039 PMCID: PMC10553195 DOI: 10.1097/ms9.0000000000001219] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 08/12/2023] [Indexed: 10/10/2023] Open
Abstract
The field of neuroscience research in Africa has witnessed significant advancements in recent years, contributing to understanding the brain and neurological disorders. This paper provides an overview of the current state of neuroscience research in Africa, highlighting the progress made, ongoing efforts, and the challenges researchers face. Despite limited resources and funding constraints, African scientists have made remarkable strides in various areas of neuroscience. Collaborative networks and international partnerships have been crucial in advancing education, research infrastructure, and capacity building in the field. Institutions in countries such as Egypt, Ghana, South Africa, Nigeria, Tunisia, and Morocco have emerged as key hubs for neuroscience research, fostering a growing community of researchers dedicated to unravelling the complexities of the brain. Efforts in neuroscience research have encompassed diverse domains, including neurogenomics, neuroimaging, neurophysiology, neurorehabilitation, and neuroepidemiology. Studies have focused on investigating genetic factors underlying neurological conditions, exploring the neural mechanisms of cognition and behaviour, and developing innovative therapeutic approaches for neurological disorders. However, challenges persist in the African neuroscience research landscape. Limited funding remains a significant barrier, hindering the establishment of well-equipped laboratories, access to advanced technologies, and support for research projects. Addressing these concerns is crucial to ensure research outcomes' integrity, validity, and relevance. Looking ahead, strategic interventions are required to address these challenges and further advance neuroscience research in Africa.
Collapse
Affiliation(s)
- Nicholas Aderinto
- Department of Medicine and Surgery, Ladoke Akintola University of Technology
| | - Muili Abdulbasit
- Department of Medicine and Surgery, Ladoke Akintola University of Technology
| | - Gbolahan Olatunji
- Department of Medicine and Surgery, University of Ilorin, Ilorin, Nigeria
| | - Mariam Edun
- Department of Medicine and Surgery, University of Ilorin, Ilorin, Nigeria
| |
Collapse
|
6
|
Wall JD, Robinson JA, Cox LA. High-Resolution Estimates of Crossover and Noncrossover Recombination from a Captive Baboon Colony. Genome Biol Evol 2022; 14:evac040. [PMID: 35325119 PMCID: PMC9048888 DOI: 10.1093/gbe/evac040] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/02/2022] [Indexed: 11/17/2022] Open
Abstract
Homologous recombination has been extensively studied in humans and a handful of model organisms. Much less is known about recombination in other species, including nonhuman primates. Here, we present a study of crossovers (COs) and noncrossover (NCO) recombination in olive baboons (Papio anubis) from two pedigrees containing a total of 20 paternal and 17 maternal meioses, and compare these results to linkage disequilibrium (LD) based recombination estimates from 36 unrelated olive baboons. We demonstrate how COs, combined with LD-based recombination estimates, can be used to identify genome assembly errors. We also quantify sex-specific differences in recombination rates, including elevated male CO and reduced female CO rates near telomeres. Finally, we add to the increasing body of evidence suggesting that while most NCO recombination tracts in mammals are short (e.g., <500 bp), there is a non-negligible fraction of longer (e.g., >1 kb) NCO tracts. For NCO tracts shorter than 10 kb, we fit a mixture of two (truncated) geometric distributions model to the NCO tract length distribution and estimate that >99% of all NCO tracts are very short (mean 24 bp), but the remaining tracts can be quite long (mean 4.3 kb). A single geometric distribution model for NCO tract lengths is incompatible with the data, suggesting that LD-based methods for estimating NCO recombination rates that make this assumption may need to be modified.
Collapse
Affiliation(s)
- Jeffrey D. Wall
- Institute for Human Genetics, University of California San Francisco, USA
| | | | - Laura A. Cox
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, USA
| |
Collapse
|
7
|
Abstract
Despite its important biological role, the evolution of recombination rates remains relatively poorly characterized. This owes, in part, to the lack of high-quality genomic resources to address this question across diverse species. Humans and our closest evolutionary relatives, anthropoid apes, have remained a major focus of large-scale sequencing efforts, and thus recombination rate variation has been comparatively well studied in this group-with earlier work revealing a conservation at the broad- but not the fine-scale. However, in order to better understand the nature of this variation, and the time scales on which substantial modifications occur, it is necessary to take a broader phylogenetic perspective. I here present the first fine-scale genetic map for vervet monkeys based on whole-genome population genetic data from ten individuals and perform a series of comparative analyses with the great apes. The results reveal a number of striking features. First, owing to strong positive correlations with diversity and weak negative correlations with divergence, analyses suggest a dominant role for purifying and background selection in shaping patterns of variation in this species. Second, results support a generally reduced broad-scale recombination rate compared with the great apes, as well as a narrower fraction of the genome in which the majority of recombination events are observed to occur. Taken together, this data set highlights the great necessity of future research to identify genomic features and quantify evolutionary processes that are driving these rate changes across primates.
Collapse
Affiliation(s)
- Susanne P Pfeifer
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ
| |
Collapse
|
8
|
Obesity and obesogenic growth are both highly heritable and modified by diet in a nonhuman primate model, the African green monkey (Chlorocebus aethiops sabaeus). Int J Obes (Lond) 2017; 42:765-774. [PMID: 29211707 PMCID: PMC5984074 DOI: 10.1038/ijo.2017.301] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2017] [Revised: 11/10/2017] [Accepted: 11/19/2017] [Indexed: 01/14/2023]
Abstract
Objective: In humans, the ontogeny of obesity throughout the life course and the genetics underlying it has been historically difficult to study. We compared, in a non-human primate model, the lifelong growth trajectories of obese and non-obese adults to assess the heritability of and map potential genomic regions implicated in growth and obesity. Study population: A total of 905 African green monkeys, or vervets (Chlorocebus aethiops sabaeus) (472 females, 433 males) from a pedigreed captive colony. Methods: We measured fasted body weight (BW), crown-to-rump length (CRL), body-mass index (BMI) and waist circumference (WC) from 2000 to 2015. We used a longitudinal clustering algorithm to detect obesogenic growth, and logistic growth curves implemented in nonlinear mixed effects models to estimate three growth parameters. We used maximum likelihood variance decomposition methods to estimate the genetic contributions to obesity-related traits and growth parameters, including a test for the effects of a calorie-restricted dietary intervention. We used multipoint linkage analysis to map implicated genomic regions. Results: All measurements were significantly influenced by sex, and with the exception of WC, also influenced by maternal and post-natal diet. Chronic obesity outcomes were significantly associated with a pattern of extended growth duration with slow growth rates for BW. After accounting for environmental influences, all measurements were found to have a significant genetic component to variability. Linkage analysis revealed several regions suggested to be linked to obesity-related traits that are also implicated in human obesity and metabolic disorders. Conclusions: As in humans, growth patterns in vervets have a significant impact on adult obesity and are largely under genetic control with some evidence for maternal and dietary programming. These results largely mirror findings from human research, but reflect shorter developmental periods, suggesting that the vervet offers a strong genetic model for elucidating the ontogeny of human obesity.
Collapse
|
9
|
Jasinska AJ, Zelaya I, Service SK, Peterson CB, Cantor RM, Choi OW, DeYoung J, Eskin E, Fairbanks LA, Fears S, Furterer AE, Huang YS, Ramensky V, Schmitt CA, Svardal H, Jorgensen MJ, Kaplan JR, Villar D, Aken BL, Flicek P, Nag R, Wong ES, Blangero J, Dyer TD, Bogomolov M, Benjamini Y, Weinstock GM, Dewar K, Sabatti C, Wilson RK, Jentsch JD, Warren W, Coppola G, Woods RP, Freimer NB. Genetic variation and gene expression across multiple tissues and developmental stages in a nonhuman primate. Nat Genet 2017; 49:1714-1721. [PMID: 29083405 PMCID: PMC5714271 DOI: 10.1038/ng.3959] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 08/29/2017] [Indexed: 12/12/2022]
Abstract
By analyzing multitissue gene expression and genome-wide genetic variation data in samples from a vervet monkey pedigree, we generated a transcriptome resource and produced the first catalog of expression quantitative trait loci (eQTLs) in a nonhuman primate model. This catalog contains more genome-wide significant eQTLs per sample than comparable human resources and identifies sex- and age-related expression patterns. Findings include a master regulatory locus that likely has a role in immune function and a locus regulating hippocampal long noncoding RNAs (lncRNAs), whose expression correlates with hippocampal volume. This resource will facilitate genetic investigation of quantitative traits, including brain and behavioral phenotypes relevant to neuropsychiatric disorders.
Collapse
Affiliation(s)
- Anna J. Jasinska
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland
| | - Ivette Zelaya
- Interdepartmental Program in Bioinformatics, University of California Los Angeles, Los Angeles CA, USA
| | - Susan K. Service
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Christine B. Peterson
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston TX, USA
| | - Rita M. Cantor
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA,USA
| | - Oi-Wa Choi
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Joseph DeYoung
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Eleazar Eskin
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA,USA
- Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lynn A. Fairbanks
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Scott Fears
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Allison E. Furterer
- Interdepartmental Graduate Program in Neuroscience, University of California Los Angeles, Los Angeles CA, USA
| | - Yu S. Huang
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Vasily Ramensky
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Christopher A. Schmitt
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | | | | | - Jay R. Kaplan
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Diego Villar
- University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, UK
| | - Bronwen L. Aken
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Rishi Nag
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Emily S. Wong
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - John Blangero
- South Texas Diabetes and Obesity Institute, UTHSCSA/UTRGV, Brownsville, TX, USA
| | - Thomas D. Dyer
- South Texas Diabetes and Obesity Institute, UTHSCSA/UTRGV, Brownsville, TX, USA
| | - Marina Bogomolov
- Faculty of Industrial Engineering and Management, Technion, Haifa, Israel
| | - Yoav Benjamini
- Department of Statistics and Operation Research, Tel Aviv University, Tel Aviv, Israel
| | | | - Ken Dewar
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University, Stanford, California, USA
- Department of Statistics, Stanford University, Stanford, California, USA
| | - Richard K. Wilson
- The McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - J. David Jentsch
- Department of Psychology, University of California, Los Angeles, Los Angeles, California, USA
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Wesley Warren
- The McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Giovanni Coppola
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles CA, USA
| | - Roger P. Woods
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles CA, USA
| | - Nelson B. Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA,USA
| |
Collapse
|
10
|
Kuokkanen S, Polotsky AJ, Chosich J, Bradford AP, Jasinska A, Phang T, Santoro N, Appt SE. Corpus luteum as a novel target of weight changes that contribute to impaired female reproductive physiology and function. Syst Biol Reprod Med 2016; 62:227-42. [PMID: 27187064 DOI: 10.3109/19396368.2016.1173743] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
UNLABELLED Obesity and malnutrition are associated with decreased fecundity in women. Impaired reproductive capacity in obese women is often attributed to anovulation. However, obese women with ovulatory cycles also have reduced fertility, but the etiology of their impaired reproduction is only partially understood. Accumulating evidence suggests that obesity directly impairs oocyte and embryo quality as well as endometrial receptivity. In obese women, urinary progesterone metabolite excretion is decreased, but in excess of what can be explained by suppressed gonadotropin secretion, suggesting that apart from its central effect obesity may directly affect progesterone (P4) production. These observations have led to the novel hypothesis that obesity directly affects corpus luteum (CL) function. Similarly, we hypothesize that weight loss may contribute to luteal dysfunction. Here, we propose a non-human primate model, the vervet monkey, to examine the effect of weight gain and loss on menstrual cycle parameters and CL gene expression. In this model, weight gain and loss did not significantly alter menstrual cyclicity; however, both induced alterations in the CL transcriptome. In the weight gain monkey, we observed that impaired mid-luteal P4 secretion was associated with downregulation of steroidogenic pathways in CL. Collectively, these preliminary findings support our hypothesis that weight gain and loss may contribute to CL dysfunction. The vervet model described and preliminary observations provide a basis for a larger study to address this important question. Understanding the mechanisms by which weight gain and loss contribute to reproductive dysfunction can assist in the development of targeted treatments to enhance women's reproductive capability when it is desired. ABBREVIATIONS CL: corpus luteum; P4: progesterone; E2: estradiol; PDG: pregnanediol 3-glucoronide; LH: luteinizing hormone; FSH: follicle-stimulating hormone; GnRH: gonadotropin releasing hormone; BMI: body mass index; qrtPCR: quantitative real-time PCR; PGR: progesterone receptor; ART: assisted reproductive technology; IVF: in vitro fertilization; HPO: hypothalamic-pituitary-ovarian axis; MMPs: matrix metalloproteinases Gene symbols: LH receptor (LHGCR); cholesterol side-chain cleavage enzyme (CYP11A1); 3 beta-hydroxysteroid dehydrogenase type II (HSD3B2); steroidogenic acute regulatory protein (STAR); LDL receptor (LDLR); scavenger receptor B1 (SCARB1); ATP-binding cassette sub-family A member 1 (ABCA1); ATP-binding cassette sub-family G member 1 (ABCG1); apolipoprotein A (APOA1); 24 dehydrocholesterol reductase (DHCR24); 3-hydroxy-3-methylglytaryl-CoA reductase (HMGCR); vascular endothelial growth factor A (VEGFA); vascular endothelial growth factor C (VEGFC); vascular endothelial growth factor receptor 1 (VEGFR1); and TIMP metallopeptidase inhibitor 1 (TIMP1); amphiregulin (AREG); epiregulin (EREG); CCAAT/enhancer binding protein alpha (CEBPBA); cAMP responsive element binding protein 3-like 1 (CREB3L1); ADAM metallopeptidase with thrombospodin type 1 motif 1 (ADAMTS1); matrix metallopeptidase 9 (MMP9); cytochrome b-245 beta polypeptide (CYBB or NOX2); NADH oxidase (NCF2 or NOXA2); Fc fragment of IgG receptor IIb (FCGR2B); Fc fragment of IgG receptor IIb (FCGR2C); ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1); RAB27A member RAS oncofamily (RAB27A); hydroxyprostaglandin dehydrogenase (HPGD); prostaglandin-endoperoxidase synthase 1 (PTGS1); integrin B2 (ITGB2); leukotriene A4 hydrolase (LTA4H); radixin (RDX); ezrin (EZR); nuclear receptor subfamily 5 group A member 2 (NR5A2).
Collapse
Affiliation(s)
- Satu Kuokkanen
- a Department of Obstetrics and Gynecology and Women's Health, Montefiore Medical Center , Albert Einstein College of Medicine , Bronx , New York , USA
| | - Alex J Polotsky
- b Department of Obstetrics and Gynecology , University of Colorado Denver , Aurora , Colorado , USA
| | - Justin Chosich
- b Department of Obstetrics and Gynecology , University of Colorado Denver , Aurora , Colorado , USA
| | - Andrew P Bradford
- b Department of Obstetrics and Gynecology , University of Colorado Denver , Aurora , Colorado , USA
| | - Anna Jasinska
- c Center of Neurobehavioral Genetics , University of California at Los Angeles , California , USA
| | - Tzu Phang
- d Department of Medicine , University of Colorado Denver , Aurora , Colorado , USA
| | - Nanette Santoro
- b Department of Obstetrics and Gynecology , University of Colorado Denver , Aurora , Colorado , USA
| | - Susan E Appt
- e Department of Pathology (Comparative Medicine) , Wake Forest School of Medicine , Winston-Salem , North Carolina , USA
| |
Collapse
|
11
|
Warren WC, Jasinska AJ, García-Pérez R, Svardal H, Tomlinson C, Rocchi M, Archidiacono N, Capozzi O, Minx P, Montague MJ, Kyung K, Hillier LW, Kremitzki M, Graves T, Chiang C, Hughes J, Tran N, Huang Y, Ramensky V, Choi OW, Jung YJ, Schmitt CA, Juretic N, Wasserscheid J, Turner TR, Wiseman RW, Tuscher JJ, Karl JA, Schmitz JE, Zahn R, O'Connor DH, Redmond E, Nisbett A, Jacquelin B, Müller-Trutwin MC, Brenchley JM, Dione M, Antonio M, Schroth GP, Kaplan JR, Jorgensen MJ, Thomas GWC, Hahn MW, Raney BJ, Aken B, Nag R, Schmitz J, Churakov G, Noll A, Stanyon R, Webb D, Thibaud-Nissen F, Nordborg M, Marques-Bonet T, Dewar K, Weinstock GM, Wilson RK, Freimer NB. The genome of the vervet (Chlorocebus aethiops sabaeus). Genome Res 2015; 25:1921-33. [PMID: 26377836 PMCID: PMC4665013 DOI: 10.1101/gr.192922.115] [Citation(s) in RCA: 101] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 09/10/2015] [Indexed: 01/20/2023]
Abstract
We describe a genome reference of the African green monkey or vervet (Chlorocebus aethiops). This member of the Old World monkey (OWM) superfamily is uniquely valuable for genetic investigations of simian immunodeficiency virus (SIV), for which it is the most abundant natural host species, and of a wide range of health-related phenotypes assessed in Caribbean vervets (C. a. sabaeus), whose numbers have expanded dramatically since Europeans introduced small numbers of their ancestors from West Africa during the colonial era. We use the reference to characterize the genomic relationship between vervets and other primates, the intra-generic phylogeny of vervet subspecies, and genome-wide structural variations of a pedigreed C. a. sabaeus population. Through comparative analyses with human and rhesus macaque, we characterize at high resolution the unique chromosomal fission events that differentiate the vervets and their close relatives from most other catarrhine primates, in whom karyotype is highly conserved. We also provide a summary of transposable elements and contrast these with the rhesus macaque and human. Analysis of sequenced genomes representing each of the main vervet subspecies supports previously hypothesized relationships between these populations, which range across most of sub-Saharan Africa, while uncovering high levels of genetic diversity within each. Sequence-based analyses of major histocompatibility complex (MHC) polymorphisms reveal extremely low diversity in Caribbean C. a. sabaeus vervets, compared to vervets from putatively ancestral West African regions. In the C. a. sabaeus research population, we discover the first structural variations that are, in some cases, predicted to have a deleterious effect; future studies will determine the phenotypic impact of these variations.
Collapse
Affiliation(s)
- Wesley C Warren
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Anna J Jasinska
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California 90095, USA; Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland
| | - Raquel García-Pérez
- ICREA at Institut de Biologia Evolutiva, (UPF-CSIC) and Centro Nacional de Analisis Genomico (CNAG), PRBB/PCB, 08003 Barcelona, Spain
| | - Hannes Svardal
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria
| | - Chad Tomlinson
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Mariano Rocchi
- Department of Biology, University of Bari, Bari 70126, Italy
| | | | - Oronzo Capozzi
- Department of Biology, University of Bari, Bari 70126, Italy
| | - Patrick Minx
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Michael J Montague
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Kim Kyung
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - LaDeana W Hillier
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Milinn Kremitzki
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Tina Graves
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Colby Chiang
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | | | - Nam Tran
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California 90095, USA
| | - Yu Huang
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California 90095, USA
| | - Vasily Ramensky
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California 90095, USA
| | - Oi-Wa Choi
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California 90095, USA
| | - Yoon J Jung
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California 90095, USA
| | - Christopher A Schmitt
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California 90095, USA
| | - Nikoleta Juretic
- Department of Human Genetics, McGill University, Montreal QC H3A 1B1, Canada
| | | | - Trudy R Turner
- Department of Anthropology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53705, USA; Department of Genetics Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein, 9300 South Africa
| | - Roger W Wiseman
- Department of Laboratory Medicine and Pathology, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Jennifer J Tuscher
- Department of Laboratory Medicine and Pathology, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Julie A Karl
- Department of Laboratory Medicine and Pathology, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Jörn E Schmitz
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02115, USA
| | - Roland Zahn
- Crucell Holland B.V., 2333 CN Leiden, The Netherlands
| | - David H O'Connor
- Department of Laboratory Medicine and Pathology, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| | - Eugene Redmond
- St. Kitts Biomedical Research Foundation, St. Kitts, West Indies
| | - Alex Nisbett
- St. Kitts Biomedical Research Foundation, St. Kitts, West Indies
| | - Béatrice Jacquelin
- Institut Pasteur, Unité de Régulation des Infections Rétrovirales, 75015 Paris, France
| | | | - Jason M Brenchley
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, Maryland 20892-9821, USA
| | | | | | | | - Jay R Kaplan
- Center for Comparative Medicine Research, Wake Forest School of Medicine, Winston-Salem 27157-1040, USA
| | - Matthew J Jorgensen
- Center for Comparative Medicine Research, Wake Forest School of Medicine, Winston-Salem 27157-1040, USA
| | - Gregg W C Thomas
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA
| | - Matthew W Hahn
- Department of Biology, Indiana University, Bloomington, Indiana 47405, USA
| | - Brian J Raney
- University of California Santa Cruz, Santa Cruz, California 95060, USA
| | - Bronwen Aken
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - Rishi Nag
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - Juergen Schmitz
- Institute of Experimental Pathology (ZMBE), University of Münster, 48149 Münster, Germany
| | - Gennady Churakov
- Institute of Experimental Pathology (ZMBE), University of Münster, 48149 Münster, Germany; Institute for Evolution and Biodiversity, University of Münster, 48149 Münster, Germany
| | - Angela Noll
- Institute of Experimental Pathology (ZMBE), University of Münster, 48149 Münster, Germany
| | - Roscoe Stanyon
- Department of Biology, University of Florence, 50122 Florence, Italy
| | - David Webb
- National Center for Biotechnology Information, Bethesda, Maryland 20894, USA
| | | | - Magnus Nordborg
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), 1030 Vienna, Austria
| | - Tomas Marques-Bonet
- ICREA at Institut de Biologia Evolutiva, (UPF-CSIC) and Centro Nacional de Analisis Genomico (CNAG), PRBB/PCB, 08003 Barcelona, Spain
| | - Ken Dewar
- Department of Human Genetics, McGill University, Montreal QC H3A 1B1, Canada
| | - George M Weinstock
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06001, USA
| | - Richard K Wilson
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Nelson B Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California 90095, USA
| |
Collapse
|
12
|
Huang YS, Ramensky V, Service SK, Jasinska AJ, Jung Y, Choi OW, Cantor RM, Juretic N, Wasserscheid J, Kaplan JR, Jorgensen MJ, Dyer TD, Dewar K, Blangero J, Wilson RK, Warren W, Weinstock GM, Freimer NB. Sequencing strategies and characterization of 721 vervet monkey genomes for future genetic analyses of medically relevant traits. BMC Biol 2015; 13:41. [PMID: 26092298 PMCID: PMC4494155 DOI: 10.1186/s12915-015-0152-2] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Accepted: 06/11/2015] [Indexed: 12/30/2022] Open
Abstract
Background We report here the first genome-wide high-resolution polymorphism resource for non-human primate (NHP) association and linkage studies, constructed for the Caribbean-origin vervet monkey, or African green monkey (Chlorocebus aethiops sabaeus), one of the most widely used NHPs in biomedical research. We generated this resource by whole genome sequencing (WGS) of monkeys from the Vervet Research Colony (VRC), an NIH-supported research resource for which extensive phenotypic data are available. Results We identified genome-wide single nucleotide polymorphisms (SNPs) by WGS of 721 members of an extended pedigree from the VRC. From high-depth WGS data we identified more than 4 million polymorphic unequivocal segregating sites; by pruning these SNPs based on heterozygosity, quality control filters, and the degree of linkage disequilibrium (LD) between SNPs, we constructed genome-wide panels suitable for genetic association (about 500,000 SNPs) and linkage analysis (about 150,000 SNPs). To further enhance the utility of these resources for linkage analysis, we used a further pruned subset of the linkage panel to generate multipoint identity by descent matrices. Conclusions The genetic and phenotypic resources now available for the VRC and other Caribbean-origin vervets enable their use for genetic investigation of traits relevant to human diseases. Electronic supplementary material The online version of this article (doi:10.1186/s12915-015-0152-2) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Yu S Huang
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.,Present address: 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Vasily Ramensky
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Susan K Service
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Anna J Jasinska
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.,Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland
| | - Yoon Jung
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Oi-Wa Choi
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Rita M Cantor
- Department of Human Genetics, University of California, Los Angeles, CA, 90095, USA
| | - Nikoleta Juretic
- Department of Human Genetics, McGill University, Montreal, Canada
| | | | - Jay R Kaplan
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157-1040, USA
| | - Matthew J Jorgensen
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157-1040, USA
| | - Thomas D Dyer
- South Texas Diabetes and Obesity Institute, UTHSCSA/UTRGV, Brownsville, TX, USA
| | - Ken Dewar
- Department of Human Genetics, McGill University, Montreal, Canada
| | - John Blangero
- South Texas Diabetes and Obesity Institute, UTHSCSA/UTRGV, Brownsville, TX, USA
| | - Richard K Wilson
- The Genome Institute, Washington University School of Medicine, Genome Sequencing Center, St. Louis, MO, 63108, USA
| | - Wesley Warren
- The Genome Institute, Washington University School of Medicine, Genome Sequencing Center, St. Louis, MO, 63108, USA
| | | | - Nelson B Freimer
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| |
Collapse
|
13
|
Magden ER, Mansfield KG, Simmons JH, Abee CR. Nonhuman Primates. LABORATORY ANIMAL MEDICINE 2015:771-930. [DOI: 10.1016/b978-0-12-409527-4.00017-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2025]
|
14
|
Bouskila J, Javadi P, Palmour RM, Bouchard JF, Ptito M. Standardized full-field electroretinography in the Green Monkey (Chlorocebus sabaeus). PLoS One 2014; 9:e111569. [PMID: 25360686 PMCID: PMC4216091 DOI: 10.1371/journal.pone.0111569] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 10/05/2014] [Indexed: 11/22/2022] Open
Abstract
Full-field electroretinography is an objective measure of retinal function, serving as an important diagnostic clinical tool in ophthalmology for evaluating the integrity of the retina. Given the similarity between the anatomy and physiology of the human and Green Monkey eyes, this species has increasingly become a favorable non-human primate model for assessing ocular defects in humans. To test this model, we obtained full-field electroretinographic recordings (ERG) and normal values for standard responses required by the International Society for Clinical Electrophysiology of Vision (ISCEV). Photopic and scotopic ERG recordings were obtained by full-field stimulation over a range of 6 log units of intensity in dark-adapted or light-adapted eyes of adult Green Monkeys (Chlorocebus sabaeus). Intensity, duration, and interval of light stimuli were varied separately. Reproducible values of amplitude and latency were obtained for the a- and b-waves, under well-controlled adaptation and stimulus conditions; the i-wave was also easily identifiable and separated from the a-b-wave complex in the photopic ERG. The recordings obtained in the healthy Green Monkey matched very well with those in humans and other non-human primate species (Macaca mulatta and Macaca fascicularis). These results validate the Green Monkey as an excellent non-human primate model, with potential to serve for testing retinal function following various manipulations such as visual deprivation or drug evaluation.
Collapse
Affiliation(s)
- Joseph Bouskila
- School of Optometry, University of Montreal, Montreal, Quebec, Canada
- Biomedical Sciences, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Pasha Javadi
- School of Optometry, University of Montreal, Montreal, Quebec, Canada
| | - Roberta M. Palmour
- Behavioral Science Foundation, Basseterre, St. Kitts, West Indies
- Departments of Psychiatry and Human Genetics, McGill University, Montreal, Quebec, Canada
| | | | - Maurice Ptito
- School of Optometry, University of Montreal, Montreal, Quebec, Canada
- BRAINlab and Neuropsychiatry Laboratory, Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen, Denmark
- * E-mail:
| |
Collapse
|
15
|
Jasinska AJ, Schmitt CA, Service SK, Cantor RM, Dewar K, Jentsch JD, Kaplan JR, Turner TR, Warren WC, Weinstock GM, Woods RP, Freimer NB. Systems biology of the vervet monkey. ILAR J 2014; 54:122-43. [PMID: 24174437 DOI: 10.1093/ilar/ilt049] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Nonhuman primates (NHP) provide crucial biomedical model systems intermediate between rodents and humans. The vervet monkey (also called the African green monkey) is a widely used NHP model that has unique value for genetic and genomic investigations of traits relevant to human diseases. This article describes the phylogeny and population history of the vervet monkey and summarizes the use of both captive and wild vervet monkeys in biomedical research. It also discusses the effort of an international collaboration to develop the vervet monkey as the most comprehensively phenotypically and genomically characterized NHP, a process that will enable the scientific community to employ this model for systems biology investigations.
Collapse
|
16
|
Jasinska AJ, Lin MK, Service S, Choi OW, DeYoung J, Grujic O, Kong SY, Jung Y, Jorgensen MJ, Fairbanks LA, Turner T, Cantor RM, Wasserscheid J, Dewar K, Warren W, Wilson RK, Weinstock G, Jentsch JD, Freimer NB. A non-human primate system for large-scale genetic studies of complex traits. Hum Mol Genet 2012; 21:3307-16. [PMID: 22556363 PMCID: PMC3392106 DOI: 10.1093/hmg/dds160] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2012] [Revised: 04/04/2012] [Accepted: 04/18/2012] [Indexed: 12/14/2022] Open
Abstract
Non-human primates provide genetic model systems biologically intermediate between humans and other mammalian model organisms. Populations of Caribbean vervet monkeys (Chlorocebus aethiops sabaeus) are genetically homogeneous and large enough to permit well-powered genetic mapping studies of quantitative traits relevant to human health, including expression quantitative trait loci (eQTL). Previous transcriptome-wide investigation in an extended vervet pedigree identified 29 heritable transcripts for which levels of expression in peripheral blood correlate strongly with expression levels in the brain. Quantitative trait linkage analysis using 261 microsatellite markers identified significant (n = 8) and suggestive (n = 4) linkages for 12 of these transcripts, including both cis- and trans-eQTL. Seven transcripts, located on different chromosomes, showed maximum linkage to markers in a single region of vervet chromosome 9; this observation suggests the possibility of a master trans-regulator locus in this region. For one cis-eQTL (at B3GALTL, beta-1,3-glucosyltransferase), we conducted follow-up single nucleotide polymorphism genotyping and fine-scale association analysis in a sample of unrelated Caribbean vervets, localizing this eQTL to a region of <200 kb. These results suggest the value of pedigree and population samples of the Caribbean vervet for linkage and association mapping studies of quantitative traits. The imminent whole genome sequencing of many of these vervet samples will enhance the power of such investigations by providing a comprehensive catalog of genetic variation.
Collapse
Affiliation(s)
- Anna J. Jasinska
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Michelle K. Lin
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
- Department of Neurobehavioral Genetics, Institute of Psychobiology, University of Trier, Johanniterufer 15, D-54290 Trier, Germany
| | - Susan Service
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Oi-Wa Choi
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Joseph DeYoung
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Olivera Grujic
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Sit-Yee Kong
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Yoon Jung
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Mathew J. Jorgensen
- Department of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Lynn A. Fairbanks
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Trudy Turner
- University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
| | - Rita M. Cantor
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Jessica Wasserscheid
- Research Institute of the McGill University Health Centre, McGill University and Génome Québec Innovation Centre
- Department of Human Genetics and
- Department of Experimental Medicine, McGill University, Montreal, PQ, CanadaH3A 1A1
| | - Ken Dewar
- Research Institute of the McGill University Health Centre, McGill University and Génome Québec Innovation Centre
- Department of Human Genetics and
- Department of Experimental Medicine, McGill University, Montreal, PQ, CanadaH3A 1A1
| | - Wesley Warren
- The Genome Institute at Washington University, St Louis, MO 63108, USA and
| | - Richard K. Wilson
- The Genome Institute at Washington University, St Louis, MO 63108, USA and
| | - George Weinstock
- The Genome Institute at Washington University, St Louis, MO 63108, USA and
| | - J. David Jentsch
- Department of Psychology and Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| | - Nelson B. Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, CA 90095, USA
| |
Collapse
|
17
|
Feng X, Zhang T, Xu Z, Choi SJ, Qian J, Furdui CM, Register TC, Delbono O. Myosin heavy chain isoform expression in the Vastus Lateralis muscle of aging African green vervet monkeys. Exp Gerontol 2012; 47:601-7. [PMID: 22617406 DOI: 10.1016/j.exger.2012.05.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2012] [Revised: 04/07/2012] [Accepted: 05/08/2012] [Indexed: 10/28/2022]
Abstract
Non-human primates (NHP) represent an emerging animal model for the study of physical function, and provide opportunities for exploration of relationships of muscle biomolecular changes with age. One such primate model, the African green vervet monkey, has been used extensively in biomedical research but little is known regarding skeletal muscle composition, expression of myosin heavy chain (MHC) isoforms, and changes with age. In the present study we examined the effects of age on vastus lateralis (VL) muscle fiber-type composition, fiber cross-sectional area (CSA), and MHC isoforms expressed in 4 young and 4 older adult vervet monkeys. Proteomics analysis, using a human and nonhuman primate protein database, showed five MHC isoforms (I, IIA, IIX, IIB, and IIB') expressed in female vervet VL muscle, which matched the human MHC isoforms. Fast type II fibers predominated and no pure type IIB or IIB' containing fibers were detected. Hybrid fibers containing IIB/IIB' MHC decreased in the old vervets. The CSA of both type I and type II fibers was significantly smaller in older vervet while type IIA fibers showed the most severity of atrophy. The decrease of fast MHC and atrophy of muscle fiber with aging recapitulate observations in human VL muscle. These findings, along with its homology of MHC between the vervet and human suggested that the vervet monkey may be a suitable preclinical model for understanding the cellular and molecular basis of sarcopenia and for developing new interventions to ameliorate the impact of disorders that affect skeletal muscle structure and function.
Collapse
Affiliation(s)
- Xin Feng
- Department of Otolaryngology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
| | | | | | | | | | | | | | | |
Collapse
|
18
|
Fedorov A, Li X, Pohl KM, Bouix S, Styner M, Addicott M, Wyatt C, Daunais JB, Wells WM, Kikinis R. Atlas-guided segmentation of vervet monkey brain MRI. Open Neuroimag J 2011; 5:186-97. [PMID: 22253661 PMCID: PMC3256578 DOI: 10.2174/1874440001105010186] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2010] [Revised: 12/23/2010] [Accepted: 01/14/2011] [Indexed: 11/22/2022] Open
Abstract
The vervet monkey is an important nonhuman primate model that allows the study of isolated environmental factors in a controlled environment. Analysis of monkey MRI often suffers from lower quality images compared with human MRI because clinical equipment is typically used to image the smaller monkey brain and higher spatial resolution is required. This, together with the anatomical differences of the monkey brains, complicates the use of neuroimage analysis pipelines tuned for human MRI analysis. In this paper we developed an open source image analysis framework based on the tools available within the 3D Slicer software to support a biological study that investigates the effect of chronic ethanol exposure on brain morphometry in a longitudinally followed population of male vervets. We first developed a computerized atlas of vervet monkey brain MRI, which was used to encode the typical appearance of the individual brain structures in MRI and their spatial distribution. The atlas was then used as a spatial prior during automatic segmentation to process two longitudinal scans per subject. Our evaluation confirms the consistency and reliability of the automatic segmentation. The comparison of atlas construction strategies reveals that the use of a population-specific atlas leads to improved accuracy of the segmentation for subcortical brain structures. The contribution of this work is twofold. First, we describe an image processing workflow specifically tuned towards the analysis of vervet MRI that consists solely of the open source software tools. Second, we develop a digital atlas of vervet monkey brain MRIs to enable similar studies that rely on the vervet model.
Collapse
Affiliation(s)
- Andriy Fedorov
- Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115
| | | | | | | | | | | | | | | | | | | |
Collapse
|
19
|
Almeida JL, Hill CR, Cole KD. Authentication of African green monkey cell lines using human short tandem repeat markers. BMC Biotechnol 2011; 11:102. [PMID: 22059503 PMCID: PMC3221628 DOI: 10.1186/1472-6750-11-102] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2011] [Accepted: 11/07/2011] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Tools for authenticating cell lines are critical for quality control in cell-based biological experiments. Currently there are methods to authenticate human cell lines using short tandem repeat (STR) markers based on the technology and procedures successfully used in the forensic community for human identification, but there are no STR based methods for authenticating nonhuman cell lines to date. There is significant homology between the human and vervet monkey genome and we utilized these similarities to design the first multiplex assay based on human STR markers for vervet cell line identification. RESULTS The following STR markers were incorporated into the vervet multiplex PCR assay: D17S1304, D5S1467, D19S245, D1S518, D8S1106, D4S2408, D6S1017, and DYS389. The eight markers were successful in uniquely identifying sixty-two vervet monkey DNA samples and confirmed that Vero76 cells and COS-7 cells were derived from Vero and CV-1 cells, respectively. The multiplex assay shows specificity for vervet DNA within the determined allele range for vervet monkeys; however, the primers will also amplify human DNA for each marker resulting in amplicons outside the vervet allele range in several of the loci. The STR markers showed genetic stability in over sixty-nine passages of Vero cells, suggesting low mutation rates in the targeted STR sequences in the Vero cell line. CONCLUSIONS A functional vervet multiplex assay consisting of eight human STR markers with heterozygosity values ranging from 0.53-0.79 was successful in uniquely identifying sixty-two vervet monkey samples. The probability of a random match using these eight markers between any two vervet samples is approximately 1 in 1.9 million. While authenticating a vervet cell line, the multiplex assay may also be a useful indicator for human cell line contamination since the assay is based on human STR markers.
Collapse
Affiliation(s)
- Jamie L Almeida
- National Institute of Standards and Technology, Biochemical Science Division, Bioassay Methods Group, 100 Bureau Drive MS8312, Gaithersburg, MD 20899, USA
| | - Carolyn R Hill
- National Institute of Standards and Technology, Biochemical Science Division, Applied Genetics Group, 100 Bureau Drive MS8316, Gaithersburg, MD 20899, USA
| | - Kenneth D Cole
- National Institute of Standards and Technology, Biochemical Science Division, Bioassay Methods Group, 100 Bureau Drive MS8312, Gaithersburg, MD 20899, USA
| |
Collapse
|
20
|
McGraw LA, Davis JK, Young LJ, Thomas JW. A genetic linkage map and comparative mapping of the prairie vole (Microtus ochrogaster) genome. BMC Genet 2011; 12:60. [PMID: 21736755 PMCID: PMC3143096 DOI: 10.1186/1471-2156-12-60] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2011] [Accepted: 07/07/2011] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The prairie vole (Microtus ochrogaster) is an emerging rodent model for investigating the genetics, evolution and molecular mechanisms of social behavior. Though a karyotype for the prairie vole has been reported and low-resolution comparative cytogenetic analyses have been done in this species, other basic genetic resources for this species, such as a genetic linkage map, are lacking. RESULTS Here we report the construction of a genome-wide linkage map of the prairie vole. The linkage map consists of 406 markers that are spaced on average every 7 Mb and span an estimated ~90% of the genome. The sex average length of the linkage map is 1707 cM, which, like other Muroid rodent linkage maps, is on the lower end of the length distribution of linkage maps reported to date for placental mammals. Linkage groups were assigned to 19 out of the 26 prairie vole autosomes as well as the X chromosome. Comparative analyses of the prairie vole linkage map based on the location of 387 Type I markers identified 61 large blocks of synteny with the mouse genome. In addition, the results of the comparative analyses revealed a potential elevated rate of inversions in the prairie vole lineage compared to the laboratory mouse and rat. CONCLUSIONS A genetic linkage map of the prairie vole has been constructed and represents the fourth genome-wide high-resolution linkage map reported for Muroid rodents and the first for a member of the Arvicolinae sub-family. This resource will advance studies designed to dissect the genetic basis of a variety of social behaviors and other traits in the prairie vole as well as our understanding of genome evolution in the genus Microtus.
Collapse
Affiliation(s)
- Lisa A McGraw
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | | | | | | |
Collapse
|
21
|
Bradley BJ, Lawler RR. Linking genotypes, phenotypes, and fitness in wild primate populations. Evol Anthropol 2011; 20:104-19. [DOI: 10.1002/evan.20306] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
|
22
|
Woods RP, Fears SC, Jorgensen MJ, Fairbanks LA, Toga AW, Freimer NB. A web-based brain atlas of the vervet monkey, Chlorocebus aethiops. Neuroimage 2011; 54:1872-80. [PMID: 20923706 PMCID: PMC3008312 DOI: 10.1016/j.neuroimage.2010.09.070] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2010] [Accepted: 09/26/2010] [Indexed: 01/30/2023] Open
Abstract
Vervet monkeys are a frequently studied animal model in neuroscience research. Although equally distantly related to humans, the ancestors of vervets diverged from those of macaques and baboons more than 11 million years ago, antedating the divergence of the ancestors of humans, chimpanzees and gorillas. To facilitate anatomic localization in the vervet brain, two linked on-line electronic atlases are described, one based on registered MRI scans from hundreds of vervets (http://www.loni.ucla.edu/Research/Atlases/Data/vervet/vervetmratlas/vervetmratlas.html) and the other based on a high-resolution cryomacrotome study of a single vervet (http://www.loni.ucla.edu/Research/Atlases/Data/vervet/vervetatlas/vervetatlas.html). The averaged MRI atlas is also available as a volume in Neuroimaging Informatics Technology Initiative format. In the cryomacrotome atlas, various sulcal and subcortical structures have been anatomically labeled and surface rendered views are provided along the primary planes of section. Both atlases simultaneously provide views in all three primary planes of section, rapid navigation by clicking on the displayed images, and stereotaxic coordinates in the averaged MRI atlas space. Despite the extended time period since their divergence, the major sulcal and subcortical landmarks in vervets are highly conserved relative to those described in macaques.
Collapse
Affiliation(s)
- Roger P Woods
- Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles (UCLA), Los Angeles, CA 90095-7085, USA.
| | | | | | | | | | | |
Collapse
|
23
|
Tung J, Alberts SC, Wray GA. Evolutionary genetics in wild primates: combining genetic approaches with field studies of natural populations. Trends Genet 2010; 26:353-62. [PMID: 20580115 PMCID: PMC2933653 DOI: 10.1016/j.tig.2010.05.005] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2010] [Revised: 05/17/2010] [Accepted: 05/22/2010] [Indexed: 11/19/2022]
Abstract
Ecological and evolutionary studies of wild primates hold important keys to understanding both the shared characteristics of primate biology and the genetic and phenotypic differences that make specific lineages, including our own, unique. Although complementary genetic research on nonhuman primates has long been of interest, recent technological and methodological advances now enable functional and population genetic studies in an unprecedented manner. In the past several years, novel genetic data sets have revealed new information about the demographic history of primate populations and the genetics of adaptively important traits. In combination with the rich history of behavioral, ecological, and physiological work on natural primate populations, genetic approaches promise to provide a compelling picture of primate evolution in the past and in the present day.
Collapse
Affiliation(s)
- Jenny Tung
- Department of Biology, Duke University, P.O. Box 90338, Durham NC 27708, USA.
| | | | | |
Collapse
|
24
|
Marques-Bonet T, Ryder OA, Eichler EE. Sequencing primate genomes: what have we learned? Annu Rev Genomics Hum Genet 2009; 10:355-86. [PMID: 19630567 DOI: 10.1146/annurev.genom.9.081307.164420] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
We summarize the progress in whole-genome sequencing and analyses of primate genomes. These emerging genome datasets have broadened our understanding of primate genome evolution revealing unexpected and complex patterns of evolutionary change. This includes the characterization of genome structural variation, episodic changes in the repeat landscape, differences in gene expression, new models regarding speciation, and the ephemeral nature of the recombination landscape. The functional characterization of genomic differences important in primate speciation and adaptation remains a significant challenge. Limited access to biological materials, the lack of detailed phenotypic data and the endangered status of many critical primate species have significantly attenuated research into the genetic basis of primate evolution. Next-generation sequencing technologies promise to greatly expand the number of available primate genome sequences; however, such draft genome sequences will likely miss critical genetic differences within complex genomic regions unless dedicated efforts are put forward to understand the full spectrum of genetic variation.
Collapse
Affiliation(s)
- Tomas Marques-Bonet
- Department of Genome Sciences, University of Washington and the Howard Hughes Medical Institute, Seattle, Washington 98105, USA.
| | | | | |
Collapse
|
25
|
Jasinska AJ, Service S, Choi OW, DeYoung J, Grujic O, Kong SY, Jorgensen MJ, Bailey J, Breidenthal S, Fairbanks LA, Woods RP, Jentsch JD, Freimer NB. Identification of brain transcriptional variation reproduced in peripheral blood: an approach for mapping brain expression traits. Hum Mol Genet 2009; 18:4415-27. [PMID: 19692348 PMCID: PMC2766297 DOI: 10.1093/hmg/ddp397] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Genome-wide gene expression studies may provide substantial insight into gene activities and biological pathways differing between tissues and individuals. We investigated such gene expression variation by analyzing expression profiles in brain tissues derived from eight different brain regions and from blood in 12 monkeys from a biomedically important non-human primate model, the vervet (Chlorocebus aethiops sabaeus). We characterized brain regional differences in gene expression, focusing on transcripts for which inter-individual variation of expression in brain correlates well with variation in blood from the same individuals. Using stringent criteria, we identified 29 transcripts whose expression is measurable, stable, replicable, variable between individuals, relevant to brain function and heritable. Polymorphisms identified in probe regions could, in a minority of transcripts, confound the interpretation of the observed inter-individual variation. The high heritability of levels of these transcripts in a large vervet pedigree validated our approach of focusing on transcripts that showed higher inter-individual compared with intra-individual variation. These selected transcripts are candidate expression Quantitative Trait Loci, differentially regulating transcript levels in the brain among individuals. Given the high degree of conservation of tissue expression profiles between vervets and humans, our findings may facilitate the understanding of regional and individual transcriptional variation and its genetic mechanisms in humans. The approach employed here—utilizing higher quality tissue and more precise dissection of brain regions than is usually possible in humans—may therefore provide a powerful means to investigate variation in gene expression relevant to complex brain related traits, including human neuropsychiatric diseases.
Collapse
Affiliation(s)
- Anna J Jasinska
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA 90095, USA
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Hassold T, Hansen T, Hunt P, VandeVoort C. Cytological studies of recombination in rhesus males. Cytogenet Genome Res 2009; 124:132-8. [PMID: 19420925 DOI: 10.1159/000207519] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2008] [Indexed: 01/04/2023] Open
Abstract
An immunofluorescence approach was used to directly examine meiotic recombination events in 483 pachytene spermatocytes from 11 male rhesus monkeys. Specifically, we examined the nuclear localization patterns of the DNA mismatch repair protein MLH1, known from analyses of other mammalian species to be a useful marker of meiotic cross-overs. Our results indicated that rhesus pachytene spermatocytes contain approximately 40 cross-overs per cell, corresponding to about one cross-over per chromosome. The chromosomal distribution of these exchanges was consistent with data from human and mouse males but, surprisingly, the overall number of foci was lower, and the number of 'exchangeless' bivalents higher, than reported for either humans or mice.
Collapse
Affiliation(s)
- T Hassold
- School of Molecular Biosciences, Washington State University, Pullman, WA 99164, USA.
| | | | | | | |
Collapse
|
27
|
Freimer NB, Service SK, Ophoff RA, Jasinska AJ, McKee K, Villeneuve A, Belisle A, Bailey JN, Breidenthal SE, Jorgensen MJ, Mann JJ, Cantor RM, Dewar K, Fairbanks LA. A quantitative trait locus for variation in dopamine metabolism mapped in a primate model using reference sequences from related species. Proc Natl Acad Sci U S A 2007; 104:15811-6. [PMID: 17884980 PMCID: PMC1987389 DOI: 10.1073/pnas.0707640104] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2007] [Indexed: 12/20/2022] Open
Abstract
Non-human primates (NHP) provide crucial research models. Their strong similarities to humans make them particularly valuable for understanding complex behavioral traits and brain structure and function. We report here the genetic mapping of an NHP nervous system biologic trait, the cerebrospinal fluid (CSF) concentration of the dopamine metabolite homovanillic acid (HVA), in an extended inbred vervet monkey (Chlorocebus aethiops sabaeus) pedigree. CSF HVA is an index of CNS dopamine activity, which is hypothesized to contribute substantially to behavioral variations in NHP and humans. For quantitative trait locus (QTL) mapping, we carried out a two-stage procedure. We first scanned the genome using a first-generation genetic map of short tandem repeat markers. Subsequently, using >100 SNPs within the most promising region identified by the genome scan, we mapped a QTL for CSF HVA at a genome-wide level of significance (peak logarithm of odds score >4) to a narrow well delineated interval (<10 Mb). The SNP discovery exploited conserved segments between human and rhesus macaque reference genome sequences. Our findings demonstrate the potential of using existing primate reference genome sequences for designing high-resolution genetic analyses applicable across a wide range of NHP species, including the many for which full genome sequences are not yet available. Leveraging genomic information from sequenced to nonsequenced species should enable the utilization of the full range of NHP diversity in behavior and disease susceptibility to determine the genetic basis of specific biological and behavioral traits.
Collapse
Affiliation(s)
- Nelson B Freimer
- Center for Neurobehavioral Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|