1
|
Grigorev K, Kliver S, Dobrynin P, Komissarov A, Wolfsberger W, Krasheninnikova K, Afanador-Hernández YM, Brandt AL, Paulino LA, Carreras R, Rodríguez LE, Núñez A, Brandt JR, Silva F, Hernández-Martich JD, Majeske AJ, Antunes A, Roca AL, O'Brien SJ, Martínez-Cruzado JC, Oleksyk TK. Innovative assembly strategy contributes to understanding the evolution and conservation genetics of the endangered Solenodon paradoxus from the island of Hispaniola. Gigascience 2018; 7:4931057. [PMID: 29718205 PMCID: PMC6009670 DOI: 10.1093/gigascience/giy025] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 01/26/2018] [Accepted: 03/07/2018] [Indexed: 11/25/2022] Open
Abstract
Solenodons are insectivores that live in Hispaniola and Cuba. They form an isolated branch in the tree of placental mammals that are highly divergent from other eulipothyplan insectivores The history, unique biology, and adaptations of these enigmatic venomous species could be illuminated by the availability of genome data. However, a whole genome assembly for solenodons has not been previously performed, partially due to the difficulty in obtaining samples from the field. Island isolation and reduced numbers have likely resulted in high homozygosity within the Hispaniolan solenodon (Solenodon paradoxus). Thus, we tested the performance of several assembly strategies on the genome of this genetically impoverished species. The string graph-based assembly strategy seemed a better choice compared to the conventional de Bruijn graph approach due to the high levels of homozygosity, which is often a hallmark of endemic or endangered species. A consensus reference genome was assembled from sequences of 5 individuals from the southern subspecies (S. p. woodi). In addition, we obtained an additional sequence from 1 sample of the northern subspecies (S. p. paradoxus). The resulting genome assemblies were compared to each other and annotated for genes, with an emphasis on venom genes, repeats, variable microsatellite loci, and other genomic variants. Phylogenetic positioning and selection signatures were inferred based on 4,416 single-copy orthologs from 10 other mammals. We estimated that solenodons diverged from other extant mammals 73.6 million years ago. Patterns of single-nucleotide polymorphism variation allowed us to infer population demography, which supported a subspecies split within the Hispaniolan solenodon at least 300 thousand years ago.
Collapse
Affiliation(s)
- Kirill Grigorev
- Department of Biology, University of Puerto Rico at Mayagüez, Mayagüez, Puerto Rico
| | - Sergey Kliver
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | - Pavel Dobrynin
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | - Aleksey Komissarov
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | - Walter Wolfsberger
- Department of Biology, University of Puerto Rico at Mayagüez, Mayagüez, Puerto Rico
- Biology Department, Uzhhorod National University, Uzhhorod, Ukraine
| | - Ksenia Krasheninnikova
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | | | - Adam L Brandt
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Division of Natural Sciences, St. Norbert College, De Pere, Wisconsin, USA
| | - Liz A Paulino
- Instituto Tecnológico de Santo Domingo (INTEC), Santo Domingo, Dominican Republic
| | - Rosanna Carreras
- Instituto Tecnológico de Santo Domingo (INTEC), Santo Domingo, Dominican Republic
| | - Luis E Rodríguez
- Instituto Tecnológico de Santo Domingo (INTEC), Santo Domingo, Dominican Republic
| | - Adrell Núñez
- Department of Conservation and Science, Parque Zoologico Nacional (ZOODOM), Santo Domingo, Dominican Republic
| | - Jessica R Brandt
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Biology, Marian University, Fond du Lac, Wisconsin, USA
| | - Filipe Silva
- CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos, s/n, 4450–208 Porto, Portugal
- Department of Biology, Faculty of Sciences, University of Porto. Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - J David Hernández-Martich
- Instituto de Investigaciones Botánicas y Zoológicas, Universidad Autónoma de Santo Domingo, Santo Domingo, Dominican Republic
| | - Audrey J Majeske
- Department of Biology, University of Puerto Rico at Mayagüez, Mayagüez, Puerto Rico
| | - Agostinho Antunes
- CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos, s/n, 4450–208 Porto, Portugal
- Department of Biology, Faculty of Sciences, University of Porto. Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - Alfred L Roca
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Stephen J O'Brien
- Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
- Oceanographic Center, Nova Southeastern University, Fort Lauderdale, Florida, USA
| | | | - Taras K Oleksyk
- Department of Biology, University of Puerto Rico at Mayagüez, Mayagüez, Puerto Rico
- Biology Department, Uzhhorod National University, Uzhhorod, Ukraine
| |
Collapse
|
3
|
Weppelmann TA, Carter TE, Chen Z, von Fricken ME, Victor YS, Existe A, Okech BA. High frequency of the erythroid silent Duffy antigen genotype and lack of Plasmodium vivax infections in Haiti. Malar J 2013; 12:30. [PMID: 23347639 PMCID: PMC3599341 DOI: 10.1186/1475-2875-12-30] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Accepted: 01/09/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Malaria is a significant public health concern in Haiti where approximately 30,000 cases are reported annually with CDC estimates as high as 200,000. Malaria infections in Haiti are caused almost exclusively by Plasmodium falciparum, while a small number of Plasmodium malariae and an even smaller number of putative Plasmodium vivax infections have been reported. The lack of confirmed P. vivax infections in Haiti could be due to the genetic background of native Haitians. Having descended from West African populations, many Haitians could be Duffy negative due to a single nucleotide polymorphism from thymine to cytosine in the GATA box of the promoter region of the Duffy antigen receptor for chemokines (DARC) gene. This mutation, encoded by the FYES allele, eliminates the expression of the Duffy antigen on erythrocytes, which reduces invasion by P. vivax. This study investigated the frequency of the FYES allele and P. vivax infections in malaria patients with the goal of uncovering factors for the lack of P. vivax infections reported in Haiti. METHODS DNA was extracted from dried blood spots collected from malaria patients at four clinic locations in Haiti. The samples were analysed by polymerase chain reaction (PCR) for the presence of the P. vivax small subunit ribosomal RNA gene. PCR, sequencing, and restriction enzyme digestion were used to detect the presence of the FYES allele. Matched samples were examined for both presence of P. vivax and the FYES allele. RESULTS No cases of P. vivax were detected in any of the samples (0/136). Of all samples tested for the FYES allele, 99.4% had the FYES allele (163/164). Of the matched samples, 99% had the FYES allele (98/99). CONCLUSIONS In this preliminary study, no cases of P. vivax were confirmed by PCR and 99% of the malaria patients tested carried the FYES allele. The high frequency of the FYES allele that silences erythroid expression of the Duffy antigen offers a biologically plausible explanation for the lack of P. vivax infections observed. These results provide insights on the host susceptibility for P. vivax infections that has never before been investigated in Haiti.
Collapse
Affiliation(s)
- Thomas A Weppelmann
- Department of Environmental and Global Health, University of Florida, PO Box 100188, Gainesville, FL 32610, USA
- Emerging Pathogens Institute, University of Florida, 2055 Mowry Rd, P.O. Box 100009, Gainesville, FL 32610, USA
| | - Tamar E Carter
- Genetics Institute, University of Florida, 2033 Mowry Rd, PO Box 103610, Gainesville, FL 32610, USA
- Department of Anthropology, University of Florida, 1112 Turlington Hall, PO Box 117305, Gainesville, FL 32611, USA
- Department of Epidemiology, College of Public Health and Health Professions, University of Florida, PO Box 100231, Gainesville, FL 32611, USA
| | - Zhongsheng Chen
- Genetics Institute, University of Florida, 2033 Mowry Rd, PO Box 103610, Gainesville, FL 32610, USA
| | - Michael E von Fricken
- Department of Environmental and Global Health, University of Florida, PO Box 100188, Gainesville, FL 32610, USA
| | - Yves S Victor
- Blanchard Clinic, Family Health Ministries Haiti, Terre Noire, Port au Prince, Haiti
| | - Alexander Existe
- National Public Health Laboratory, Ministry of Public Health and Population (MSPP), Delmas 33, Port au Prince, Haiti
| | - Bernard A Okech
- Department of Environmental and Global Health, University of Florida, PO Box 100188, Gainesville, FL 32610, USA
- Emerging Pathogens Institute, University of Florida, 2055 Mowry Rd, P.O. Box 100009, Gainesville, FL 32610, USA
| |
Collapse
|