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Gajdošová Z, Šlenker M, Svitok M, Šrámková G, Blanár D, Cetlová V, Kučera J, Turisová I, Turis P, Slovák M. Unravelling some factors affecting sexual reproduction in rock-specialist shrub: Insight from an endemic Daphne arbuscula (Thymelaeaceae). PLoS One 2024; 19:e0300819. [PMID: 38722920 PMCID: PMC11081377 DOI: 10.1371/journal.pone.0300819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 03/05/2024] [Indexed: 05/13/2024] Open
Abstract
The role of endemic species in global biodiversity is pivotal, and understanding their biology and ecology is imperative for their fitness and long-term survival, particularly in the face of ongoing climatic oscillations. Our primary goal was to investigate the sexual reproduction level of the endangered Western Carpathian endemic Daphne arbuscula (Thymelaeaceae), which inhabits extreme rocky habitats, and to comprehend the influence of specific factors on its reproductive success. We conducted the research across four populations, varying in size and environmental conditions. Over two years, we monitored flower and fruit production, analyzed genetic variability within and among populations, and studied pollination mechanisms. Daphne arbuscula proved to be strictly self-incompatible, with significant variations in flower and fruit production among populations and seasons. The average fruit production percentage consistently remained below 50% across populations, indicating challenges in sexual reproduction. Cold and harsh weather during the reproductive phase had a substantial negative impact on sexual reproduction efficacy, leading to decreased fruit production. Nevertheless, several individuals in sheltered microhabitats displayed significantly higher fruit production, ranging from 60% to 83%, emphasizing the critical role of microhabitat heterogeneity in sustaining sexual reproduction in this species. We found no pronounced differences in genetic diversity within or among populations, suggesting that genetic factors may not critically influence the reproductive success of this endemic species. The implications of our findings might be of paramount importance for the long-term survival of D. arbuscula and offer valuable insights for the development of effective conservation strategies for this species.
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Affiliation(s)
- Zuzana Gajdošová
- Institute of Botany, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Marek Šlenker
- Institute of Botany, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Marek Svitok
- Department of Biology and General Ecology, Technical University in Zvolen, Zvolen, Slovak Republic
- Department of Forest Ecology, Czech University of Life Sciences Prague, Suchdol, Praha, Czech Republic
| | | | - Drahoš Blanár
- Muránska planina National Park Administration, Muráň, Slovak Republic
| | - Veronika Cetlová
- Institute of Botany, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Jaromír Kučera
- Institute of Botany, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Ingrid Turisová
- Department of Biology, Ecology and Environment, Matej Bel University in Banská Bystrica, Banská Bystrica, Slovak Republic
| | - Peter Turis
- Department of Biology, Ecology and Environment, Matej Bel University in Banská Bystrica, Banská Bystrica, Slovak Republic
| | - Marek Slovák
- Institute of Botany, Slovak Academy of Sciences, Bratislava, Slovak Republic
- Department of Botany, Charles University, Praha, Czech Republic
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Park N, Kim H, Oh J, Kim J, Heo C, Kim J. PAPipe: A Pipeline for Comprehensive Population Genetic Analysis. Mol Biol Evol 2024; 41:msae040. [PMID: 38427787 PMCID: PMC10919927 DOI: 10.1093/molbev/msae040] [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: 05/04/2023] [Revised: 02/07/2024] [Accepted: 02/16/2024] [Indexed: 03/03/2024] Open
Abstract
Advancements in next-generation sequencing (NGS) technologies have led to a substantial increase in the availability of population genetic variant data, thus prompting the development of various population analysis tools to enhance our understanding of population structure and evolution. The tools that are currently used to analyze population genetic variant data generally require different environments, parameters, and formats of the input data, which can act as a barrier preventing the wide-spread usage of such tools by general researchers who may not be familiar with bioinformatics. To address this problem, we have developed an automated and comprehensive pipeline called PAPipe to perform nine widely used population genetic analyses using population NGS data. PAPipe seamlessly interconnects and serializes multiple steps, such as read trimming and mapping, genetic variant calling, data filtering, and format converting, along with nine population genetic analyses such as principal component analysis, phylogenetic analysis, population tree analysis, population structure analysis, linkage disequilibrium decay analysis, selective sweep analysis, population admixture analysis, sequentially Markovian coalescent analysis, and fixation index analysis. PAPipe also provides an easy-to-use web interface that allows for the parameters to be set and the analysis results to be browsed in intuitive manner. PAPipe can be used to generate extensive results that provide insights that can help enhance user convenience and data usability. PAPipe is freely available at https://github.com/jkimlab/PAPipe.
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Affiliation(s)
- Nayoung Park
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Hyeonji Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Jeongmin Oh
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Jinseok Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Charyeong Heo
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Jaebum Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
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Li S, Jiang F, Bi Y, Yin X, Li L, Zhang X, Li J, Liu M, Shaw RK, Fan X. Utilizing Two Populations Derived from Tropical Maize for Genome-Wide Association Analysis of Banded Leaf and Sheath Blight Resistance. PLANTS (BASEL, SWITZERLAND) 2024; 13:456. [PMID: 38337988 PMCID: PMC10856972 DOI: 10.3390/plants13030456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 02/12/2024]
Abstract
Banded leaf and sheath blight (BLSB) in maize is a soil-borne fungal disease caused by Rhizoctonia solani Kühn, resulting in significant yield losses. Investigating the genes responsible for regulating resistance to BLSB is crucial for yield enhancement. In this study, a multiparent maize population was developed, comprising two recombinant inbred line (RIL) populations totaling 442 F8RILs. The populations were generated by crossing two tropical inbred lines, CML444 and NK40-1, known for their BLSB resistance, as female parents, with the high-yielding but BLSB-susceptible inbred line Ye107 serving as the common male parent. Subsequently, we utilized 562,212 high-quality single nucleotide polymorphisms (SNPs) generated through genotyping-by-sequencing (GBS) for a comprehensive genome-wide association study (GWAS) aimed at identifying genes responsible for BLSB resistance. The objectives of this study were to (1) identify SNPs associated with BLSB resistance through genome-wide association analyses, (2) explore candidate genes regulating BLSB resistance in maize, and (3) investigate pathways involved in BLSB resistance and discover key candidate genes through Gene Ontology (GO) analysis. The GWAS analysis revealed nineteen SNPs significantly associated with BLSB that were consistently identified across four environments in the GWAS, with phenotypic variation explained (PVE) ranging from 2.48% to 11.71%. Screening a 40 kb region upstream and downstream of the significant SNPs revealed several potential candidate genes. By integrating information from maize GDB and the NCBI, we identified five novel candidate genes, namely, Zm00001d009723, Zm00001d009975, Zm00001d009566, Zm00001d009567, located on chromosome 8, and Zm00001d026376, on chromosome 10, related to BLSB resistance. These candidate genes exhibit association with various aspects, including maize cell membrane proteins and cell immune proteins, as well as connections to cell metabolism, transport, transcriptional regulation, and structural proteins. These proteins and biochemical processes play crucial roles in maize defense against BLSB. When Rhizoctonia solani invades maize plants, it induces the expression of genes encoding specific proteins and regulates corresponding metabolic pathways to thwart the invasion of this fungus. The present study significantly contributes to our understanding of the genetic basis of BLSB resistance in maize, offering valuable insights into novel candidate genes that could be instrumental in future breeding efforts to develop maize varieties with enhanced BLSB resistance.
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Affiliation(s)
- Shaoxiong Li
- College of Agriculture, Yunnan University, Kunming 650500, China; (S.L.); (L.L.); (X.Z.); (J.L.); (M.L.)
| | - Fuyan Jiang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (F.J.); (Y.B.); (X.Y.); (R.K.S.)
| | - Yaqi Bi
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (F.J.); (Y.B.); (X.Y.); (R.K.S.)
| | - Xingfu Yin
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (F.J.); (Y.B.); (X.Y.); (R.K.S.)
| | - Linzhuo Li
- College of Agriculture, Yunnan University, Kunming 650500, China; (S.L.); (L.L.); (X.Z.); (J.L.); (M.L.)
| | - Xingjie Zhang
- College of Agriculture, Yunnan University, Kunming 650500, China; (S.L.); (L.L.); (X.Z.); (J.L.); (M.L.)
| | - Jinfeng Li
- College of Agriculture, Yunnan University, Kunming 650500, China; (S.L.); (L.L.); (X.Z.); (J.L.); (M.L.)
| | - Meichen Liu
- College of Agriculture, Yunnan University, Kunming 650500, China; (S.L.); (L.L.); (X.Z.); (J.L.); (M.L.)
| | - Ranjan K. Shaw
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (F.J.); (Y.B.); (X.Y.); (R.K.S.)
| | - Xingming Fan
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (F.J.); (Y.B.); (X.Y.); (R.K.S.)
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Gartner V, Redelings BD, Gaither C, Parr JB, Kalonji A, Phanzu F, Brazeau NF, Juliano JJ, Wray GA. Genomic insights into Plasmodium vivax population structure and diversity in central Africa. Malar J 2024; 23:27. [PMID: 38238806 PMCID: PMC10797969 DOI: 10.1186/s12936-024-04852-y] [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] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/12/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Though Plasmodium vivax is the second most common malaria species to infect humans, it has not traditionally been considered a major human health concern in central Africa given the high prevalence of the human Duffy-negative phenotype that is believed to prevent infection. Increasing reports of asymptomatic and symptomatic infections in Duffy-negative individuals throughout Africa raise the possibility that P. vivax is evolving to evade host resistance, but there are few parasite samples with genomic data available from this part of the world. METHODS Whole genome sequencing of one new P. vivax isolate from the Democratic Republic of the Congo (DRC) was performed and used in population genomics analyses to assess how this central African isolate fits into the global context of this species. RESULTS Plasmodium vivax from DRC is similar to other African populations and is not closely related to the non-human primate parasite P. vivax-like. Evidence is found for a duplication of the gene PvDBP and a single copy of PvDBP2. CONCLUSION These results suggest an endemic P. vivax population is present in central Africa. Intentional sampling of P. vivax across Africa would further contextualize this sample within African P. vivax diversity and shed light on the mechanisms of infection in Duffy negative individuals. These results are limited by the uncertainty of how representative this single sample is of the larger population of P. vivax in central Africa.
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Affiliation(s)
- Valerie Gartner
- Biology Department, Duke University, Durham, NC, 27708, USA
- University Program in Genetics and Genomics, Duke University, Durham, NC, 27708, USA
| | - Benjamin D Redelings
- Biology Department, Duke University, Durham, NC, 27708, USA
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, 66045, USA
- Ronin Institute, Durham, NC, 27705, USA
| | | | | | - Albert Kalonji
- SANRU Asbl, 149 A/B, Boulevard du 30 Juin, Kinshasa, Gombe, Democratic Republic of Congo
| | - Fernandine Phanzu
- SANRU Asbl, 149 A/B, Boulevard du 30 Juin, Kinshasa, Gombe, Democratic Republic of Congo
| | | | | | - Gregory A Wray
- Biology Department, Duke University, Durham, NC, 27708, USA.
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5
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Mussmann SM, Douglas MR, Chafin TK, Douglas ME. AdmixPipe v3: facilitating population structure delimitation from SNP data. BIOINFORMATICS ADVANCES 2023; 3:vbad168. [PMID: 38046098 PMCID: PMC10689661 DOI: 10.1093/bioadv/vbad168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/13/2023] [Accepted: 11/22/2023] [Indexed: 12/05/2023]
Abstract
Summary Quantifying genetic clusters (=populations) from genotypic data is a fundamental, but non-trivial task for population geneticists that is compounded by: hierarchical population structure, diverse analytical methods, and complex software dependencies. AdmixPipe v3 ameliorates many of these issues in a single bioinformatic pipeline that facilitates all facets of population structure analysis by integrating outputs generated by several popular packages (i.e. CLUMPAK, EvalAdmix). The pipeline interfaces disparate software packages to parse Admixture outputs and conduct EvalAdmix analyses in the context of multimodal population structure results identified by CLUMPAK. We further streamline these tasks by packaging AdmixPipe v3 within a Docker container to create a standardized analytical environment that allows for complex analyses to be replicated by different researchers. This also grants operating system flexibility and mitigates complex software dependencies. Availability and implementation Source code, documentation, example files, and usage examples are freely available at https://github.com/stevemussmann/admixturePipeline. Installation is facilitated via Docker container available from https://hub.docker.com/r/mussmann/admixpipe. Usage under Windows operating systems requires the Windows Subsystem for Linux.
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Affiliation(s)
- Steven M Mussmann
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, United States
- Abernathy Fish Technology Center, U.S. Fish and Wildlife Service, Longview, WA 98632, United States
| | - Marlis R Douglas
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, United States
| | - Tyler K Chafin
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, United States
- Biomathematics and Statistics Scotland, Edinburgh EH49 3FD, United Kingdom
| | - Michael E Douglas
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, United States
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6
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Sánchez KI, Diaz Huesa EG, Breitman MF, Avila LJ, Sites JW, Morando M. Complex Patterns of Diversification in the Gray Zone of Speciation: Model-Based Approaches Applied to Patagonian Liolaemid Lizards (Squamata: Liolaemus kingii clade). Syst Biol 2023; 72:739-752. [PMID: 37097104 DOI: 10.1093/sysbio/syad019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 03/28/2023] [Accepted: 04/11/2023] [Indexed: 04/26/2023] Open
Abstract
In this study we detangled the evolutionary history of the Patagonian lizard clade Liolaemus kingii, coupling dense geographic sampling and novel computational analytical approaches. We analyzed nuclear and mitochondrial data (restriction site-associated DNA sequencing and cytochrome b) to hypothesize and evaluate species limits, phylogenetic relationships, and demographic histories. We complemented these analyses with posterior predictive simulations to assess the fit of the genomic data to the multispecies coalescent model. We also employed a novel approach to time-calibrate a phylogenetic network. Our results show several instances of mito-nuclear discordance and consistent support for a reticulated history, supporting the view that the complex evolutionary history of the kingii clade is characterized by extensive gene flow and rapid diversification events. We discuss our findings in the contexts of the "gray zone" of speciation, phylogeographic patterns in the Patagonian region, and taxonomic outcomes. [Model adequacy; multispecies coalescent; multispecies network coalescent; phylogenomics; species delimitation.].
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Affiliation(s)
- Kevin I Sánchez
- Instituto Patagónico para el Estudio de los Ecosistemas Continentales, Consejo Nacional de Investigaciones Científicas y Técnicas (IPEEC-CONICET), Puerto Madryn, U9120ACD, Argentina
| | - Emilce G Diaz Huesa
- Instituto de Diversidad y Evolución Austral, Consejo Nacional de Investigaciones Científicas y Técnicas (IDEAus-CONICET), Puerto Madryn, U9120ACD, Argentina
| | - María F Breitman
- Department of Biology and Environmental Science, Auburn University at Montgomery, Montgomery, 36117, USA
| | - Luciano J Avila
- Instituto Patagónico para el Estudio de los Ecosistemas Continentales, Consejo Nacional de Investigaciones Científicas y Técnicas (IPEEC-CONICET), Puerto Madryn, U9120ACD, Argentina
| | - Jack W Sites
- Department of Biology, Austin Peay State University, Clarksville, 37044, USA
| | - Mariana Morando
- Instituto Patagónico para el Estudio de los Ecosistemas Continentales, Consejo Nacional de Investigaciones Científicas y Técnicas (IPEEC-CONICET), Puerto Madryn, U9120ACD, Argentina
- Universidad Nacional de la Patagonia San Juan Bosco (UNPSJB), Puerto Madryn, U9120ACD, Argentina
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7
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Shinde SS, Sharma A, Vijay N. Decoding the fibromelanosis locus complex chromosomal rearrangement of black-bone chicken: genetic differentiation, selective sweeps and protein-coding changes in Kadaknath chicken. Front Genet 2023; 14:1180658. [PMID: 37424723 PMCID: PMC10325862 DOI: 10.3389/fgene.2023.1180658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/05/2023] [Indexed: 07/11/2023] Open
Abstract
Black-bone chicken (BBC) meat is popular for its distinctive taste and texture. A complex chromosomal rearrangement at the fibromelanosis (Fm) locus on the 20th chromosome results in increased endothelin-3 (EDN3) gene expression and is responsible for melanin hyperpigmentation in BBC. We use public long-read sequencing data of the Silkie breed to resolve high-confidence haplotypes at the Fm locus spanning both Dup1 and Dup2 regions and establish that the Fm_2 scenario is correct of the three possible scenarios of the complex chromosomal rearrangement. The relationship between Chinese and Korean BBC breeds with Kadaknath native to India is underexplored. Our data from whole-genome re-sequencing establish that all BBC breeds, including Kadaknath, share the complex chromosomal rearrangement junctions at the fibromelanosis (Fm) locus. We also identify two Fm locus proximal regions (∼70 Kb and ∼300 Kb) with signatures of selection unique to Kadaknath. These regions harbor several genes with protein-coding changes, with the bactericidal/permeability-increasing-protein-like gene having two Kadaknath-specific changes within protein domains. Our results indicate that protein-coding changes in the bactericidal/permeability-increasing-protein-like gene hitchhiked with the Fm locus in Kadaknath due to close physical linkage. Identifying this Fm locus proximal selective sweep sheds light on the genetic distinctiveness of Kadaknath compared to other BBC.
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Affiliation(s)
| | | | - Nagarjun Vijay
- Computational Evolutionary Genomics Lab, Department of Biological Sciences, IISER Bhopal, Bhauri, Madhya Pradesh, India
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Nazarizadeh M, Nováková M, Loot G, Gabagambi NP, Fatemizadeh F, Osano O, Presswell B, Poulin R, Vitál Z, Scholz T, Halajian A, Trucchi E, Kočová P, Štefka J. Historical dispersal and host-switching formed the evolutionary history of a globally distributed multi-host parasite - The Ligula intestinalis species complex. Mol Phylogenet Evol 2023; 180:107677. [PMID: 36572162 DOI: 10.1016/j.ympev.2022.107677] [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: 10/20/2022] [Revised: 12/06/2022] [Accepted: 12/12/2022] [Indexed: 12/25/2022]
Abstract
Studies on parasite biogeography and host spectrum provide insights into the processes driving parasite diversification. Global geographical distribution and a multi-host spectrum make the tapeworm Ligula intestinalis a promising model for studying both the vicariant and ecological modes of speciation in parasites. To understand the relative importance of host association and biogeography in the evolutionary history of this tapeworm, we analysed mtDNA and reduced-represented genomic SNP data for a total of 139 specimens collected from 18 fish-host genera across a distribution range representing 21 countries. Our results strongly supported the existence of at least 10 evolutionary lineages and estimated the deepest divergence at approximately 4.99-5.05 Mya, which is much younger than the diversification of the fish host genera and orders. Historical biogeography analyses revealed that the ancestor of the parasite diversified following multiple vicariance events and was widespread throughout the Palearctic, Afrotropical, and Nearctic between the late Miocene and early Pliocene. Cyprinoids were inferred as the ancestral hosts for the parasite. Later, from the late Pliocene to Pleistocene, new lineages emerged following a series of biogeographic dispersal and host-switching events. Although only a few of the current Ligula lineages show narrow host-specificity (to a single host genus), almost no host genera, even those that live in sympatry, overlapped between different Ligula lineages. Our analyses uncovered the impact of historical distribution shifts on host switching and the evolution of host specificity without parallel host-parasite co-speciation. Historical biogeography reconstructions also found that the parasite colonized several areas (Afrotropical and Australasian) much earlier than was suggested by only recent faunistic data.
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Affiliation(s)
- Masoud Nazarizadeh
- Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic; Institute of Parasitology, Biology Centre CAS, České Budějovice, Czech Republic
| | - Milena Nováková
- Institute of Parasitology, Biology Centre CAS, České Budějovice, Czech Republic
| | - Géraldine Loot
- UMR-5174, EDB (Laboratoire Evolution and Diversité Biologique), CNRS, IRD, Université Toulouse III Paul Sabatier, France
| | | | - Faezeh Fatemizadeh
- Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Odipo Osano
- School of Environmental Studies, University of Eldoret, Kenya
| | | | - Robert Poulin
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Zoltán Vitál
- Research Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Szarvas, Hungary
| | - Tomáš Scholz
- Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic; Institute of Parasitology, Biology Centre CAS, České Budějovice, Czech Republic
| | - Ali Halajian
- Research Administration and Development, and 2-DSI-NRF SARChI Chair (Ecosystem health), Department of Biodiversity, University of Limpopo, South Africa
| | - Emiliano Trucchi
- Department of Life and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | | | - Jan Štefka
- Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic; Institute of Parasitology, Biology Centre CAS, České Budějovice, Czech Republic.
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Novikova SV, Sharov VV, Oreshkova NV, Simonov EP, Krutovsky KV. Genetic Adaptation of Siberian Larch ( Larix sibirica Ledeb.) to High Altitudes. Int J Mol Sci 2023; 24:ijms24054530. [PMID: 36901960 PMCID: PMC10003562 DOI: 10.3390/ijms24054530] [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: 01/16/2023] [Revised: 02/10/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
Forest trees growing in high altitude conditions offer a convenient model for studying adaptation processes. They are subject to a whole range of adverse factors that are likely to cause local adaptation and related genetic changes. Siberian larch (Larix sibirica Ledeb.), whose distribution covers different altitudes, makes it possible to directly compare lowland with highland populations. This paper presents for the first time the results of studying the genetic differentiation of Siberian larch populations, presumably associated with adaptation to the altitudinal gradient of climatic conditions, based on a joint analysis of altitude and six other bioclimatic variables, together with a large number of genetic markers, single nucleotide polymorphisms (SNPs), obtained from double digest restriction-site-associated DNA sequencing (ddRADseq). In total, 25,143 SNPs were genotyped in 231 trees. In addition, a dataset of 761 supposedly selectively neutral SNPs was assembled by selecting SNPs located outside coding regions in the Siberian larch genome and mapped to different contigs. The analysis using four different methods (PCAdapt, LFMM, BayeScEnv and RDA) revealed 550 outlier SNPs, including 207 SNPs whose variation was significantly correlated with the variation of some of environmental factors and presumably associated with local adaptation, including 67 SNPs that correlated with altitude based on either LFMM or BayeScEnv and 23 SNPs based on both of them. Twenty SNPs were found in the coding regions of genes, and 16 of them represented non-synonymous nucleotide substitutions. They are located in genes involved in the processes of macromolecular cell metabolism and organic biosynthesis associated with reproduction and development, as well as organismal response to stress. Among these 20 SNPs, nine were possibly associated with altitude, but only one of them was identified as associated with altitude by all four methods used in the study, a nonsynonymous SNP in scaffold_31130 in position 28092, a gene encoding a cell membrane protein with uncertain function. Among the studied populations, at least two main groups (clusters), the Altai populations and all others, were significantly genetically different according to the admixture analysis based on any of the three SNP datasets as follows: 761 supposedly selectively neutral SNPs, all 25,143 SNPs and 550 adaptive SNPs. In general, according to the AMOVA results, genetic differentiation between transects or regions or between population samples was relatively low, although statistically significant, based on 761 neutral SNPs (FST = 0.036) and all 25,143 SNPs (FST = 0.017). Meanwhile, the differentiation based on 550 adaptive SNPs was much higher (FST = 0.218). The data showed a relatively weak but highly significant linear correlation between genetic and geographic distances (r = 0.206, p = 0.001).
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Affiliation(s)
- Serafima V. Novikova
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
| | - Vadim V. Sharov
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Department of High-Performance Computing, Institute of Space and Information Technologies, Siberian Federal University, 660074 Krasnoyarsk, Russia
- Tauber Bioinformatics Research Center, University of Haifa, Haifa 3498838, Israel
| | - Natalia V. Oreshkova
- Laboratory of Genomic Research and Biotechnology, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, 660036 Krasnoyarsk, Russia
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Laboratory of Forest Genetics and Selection, V. N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, 660036 Krasnoyarsk, Russia
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
| | - Evgeniy P. Simonov
- Laboratory of Evolutionary Trophology, A. N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, 119071 Moscow, Russia
| | - Konstantin V. Krutovsky
- Laboratory of Forest Genomics, Genome Research and Education Center, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, 37077 Göttingen, Germany
- Center for Integrated Breeding Research, George-August University of Göttingen, 37075 Göttingen, Germany
- Laboratory of Population Genetics, N. I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia
- Scientific and Methodological Center, G. F. Morozov Voronezh State University of Forestry and Technologies, 394087 Voronezh, Russia
- Correspondence: ; Tel.: +49-551-339-3537
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10
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Dang D, Guan Y, Zheng H, Zhang X, Zhang A, Wang H, Ruan Y, Qin L. Genome-Wide Association Study and Genomic Prediction on Plant Architecture Traits in Sweet Corn and Waxy Corn. PLANTS (BASEL, SWITZERLAND) 2023; 12:303. [PMID: 36679015 PMCID: PMC9867343 DOI: 10.3390/plants12020303] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/01/2023] [Accepted: 01/03/2023] [Indexed: 06/17/2023]
Abstract
Sweet corn and waxy corn has a better taste and higher accumulated nutritional value than regular maize, and is widely planted and popularly consumed throughout the world. Plant height (PH), ear height (EH), and tassel branch number (TBN) are key plant architecture traits, which play an important role in improving grain yield in maize. In this study, a genome-wide association study (GWAS) and genomic prediction analysis were conducted on plant architecture traits of PH, EH, and TBN in a fresh edible maize population consisting of 190 sweet corn inbred lines and 287 waxy corn inbred lines. Phenotypic data from two locations showed high heritability for all three traits, with significant differences observed between sweet corn and waxy corn for both PH and EH. The differences between the three subgroups of sweet corn were not obvious for all three traits. Population structure and PCA analysis results divided the whole population into three subgroups, i.e., sweet corn, waxy corn, and the subgroup mixed with sweet and waxy corn. Analysis of GWAS was conducted with 278,592 SNPs obtained from resequencing data; 184, 45, and 68 significantly associated SNPs were detected for PH, EH, and TBN, respectively. The phenotypic variance explained (PVE) values of these significant SNPs ranged from 3.50% to 7.0%. The results of this study lay the foundation for further understanding the genetic basis of plant architecture traits in sweet corn and waxy corn. Genomic selection (GS) is a new approach for improving quantitative traits in large plant breeding populations that uses whole-genome molecular markers. The marker number and marker quality are essential for the application of GS in maize breeding. GWAS can choose the most related markers with the traits, so it can be used to improve the predictive accuracy of GS.
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Affiliation(s)
- Dongdong Dang
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang 110866, China
- CIMMYT-China Specialty Maize Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, Texcoco 56237, Mexico
| | - Yuan Guan
- CIMMYT-China Specialty Maize Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Hongjian Zheng
- CIMMYT-China Specialty Maize Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Xuecai Zhang
- International Maize and Wheat Improvement Center (CIMMYT), El Batan, Texcoco 56237, Mexico
| | - Ao Zhang
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang 110866, China
| | - Hui Wang
- CIMMYT-China Specialty Maize Research Center, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Yanye Ruan
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang 110866, China
| | - Li Qin
- Shenyang City Key Laboratory of Maize Genomic Selection Breeding, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang 110866, China
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11
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Liu HL, Harris AJ, Wang ZF, Chen HF, Li ZA, Wei X. The genome of the Paleogene relic tree Bretschneidera sinensis: insights into trade-offs in gene family evolution, demographic history, and adaptive SNPs. DNA Res 2022; 29:6523039. [PMID: 35137004 PMCID: PMC8825261 DOI: 10.1093/dnares/dsac003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Indexed: 11/13/2022] Open
Abstract
Among relic species, genomic information may provide the key to inferring their long-term survival. Therefore, in this study, we investigated the genome of the Paleogene relic tree species, Bretschneidera sinensis, which is a rare endemic species within southeastern Asia. Specifically, we assembled a high-quality genome for B. sinensis using PacBio high-fidelity and high-throughput chromosome conformation capture reads and annotated it with long and short RNA sequencing reads. Using the genome, we then detected a trade-off between active and passive disease defences among the gene families. Gene families involved in salicylic acid and MAPK signalling pathways expanded as active defence mechanisms against disease, but families involved in terpene synthase activity as passive defences contracted. When inferring the long evolutionary history of B. sinensis, we detected population declines corresponding to historical climate change around the Eocene–Oligocene transition and to climatic fluctuations in the Quaternary. Additionally, based on this genome, we identified 388 single nucleotide polymorphisms (SNPs) that were likely under selection, and showed diverse functions in growth and stress responses. Among them, we further found 41 climate-associated SNPs. The genome of B. sinensis and the SNP dataset will be important resources for understanding extinction/diversification processes using comparative genomics in different lineages.
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Affiliation(s)
- Hai-Lin Liu
- Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,Environmental Horticulture Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.,Key Laboratory of Ornamental Plant Germplasm Innovation and Utilization, Guangzhou, 510640, China
| | - A J Harris
- Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.,Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Zheng-Feng Wang
- Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.,Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.,Center of Plant Ecology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou, 510650, China.,Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Hong-Feng Chen
- Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.,Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Zhi-An Li
- Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China.,Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.,Center of Plant Ecology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou, 510650, China.,Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Xiao Wei
- Guangxi Institute of Botany, Chinese Academy of Sciences, Guilin, 541006, China
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12
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Redak CA, Williams AS, Garner JT, Halanych KM, Whelan NV. Assessing genomic diversity, connectivity, and riverscape genetics hypotheses in the endangered Rough Hornsnail, Pleurocera foremani, following habitat disruption. J Hered 2021; 112:635-645. [PMID: 34673971 PMCID: PMC8683363 DOI: 10.1093/jhered/esab065] [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: 02/03/2021] [Accepted: 10/19/2021] [Indexed: 11/17/2022] Open
Abstract
The southeastern United States is home to some of the richest biodiversity in the world. Over the last 200 years, however, rapid industrialization and urbanization have threatened many natural areas, including freshwater habitats. River impoundments have also rapidly altered freshwater habitats, often resulting in species extirpation or extinction. The Coosa River in Alabama experienced one of the largest faunal declines in modern history after impoundment, making it an ideal system for studying how invertebrate species are affected by reservoir creation. One such species, the Rough Hornsnail, Pleurocera foremani, is an endangered freshwater snail in the family Pleuroceridae. We sampled all known localities of P. foremani and used 2bRAD-seq to measure genetic diversity. We assessed riverscape genomic patterns across the current range of P. foremani and measured gene flow within and between impoundments. We also investigated the degree to which P. foremani displays an isolation by distance pattern and conforms to broad hypotheses that have been put forth for population genetics of riverine species like the Mighty Headwater Hypothesis that predicts greater genetic diversity in headwater reaches compared with mainstem populations. Like most other freshwater species, a pattern of isolation by distance was observed in P. foremani. We also found that Coosa River dams are a barrier to gene flow, and genetic fragmentation of P. foremani is likely to increase. However, gene flow appeared common within reservoirs and tributaries. Additionally, we found that spatial genetic structure of P. foremani deviates from what is expected under the Mighty Headwaters Hypothesis, adding to a growing body of research suggesting that the majority of genetic diversity in low-dispersing gastropods is found in mainstem populations.
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Affiliation(s)
- Caitlin A Redak
- Department of Biological Sciences, Auburn University, Auburn, AL, United States of America
| | - Ashantye' S Williams
- Southeast Conservation Genetics Lab, Warm Springs Fish Technology Center, United States Fish and Wildlife Service, Auburn, AL, United States of America
| | - Jeffrey T Garner
- Alabama Department of Conservation and Natural Resources, Florence, AL, United States of America
| | - Kenneth M Halanych
- Department of Biological Sciences, Auburn University, Auburn, AL, United States of America
| | - Nathan V Whelan
- Southeast Conservation Genetics Lab, Warm Springs Fish Technology Center, United States Fish and Wildlife Service, Auburn, AL, United States of America.,School of Fisheries, Aquaculture, and Aquatic Sciences, Auburn University, Auburn, AL, United States of America
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13
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Chafin TK, Douglas MR, Bangs MR, Martin BT, Mussmann SM, Douglas ME. Taxonomic Uncertainty and the Anomaly Zone: Phylogenomics Disentangle a Rapid Radiation to Resolve Contentious Species (Gila robusta Complex) in the Colorado River. Genome Biol Evol 2021; 13:evab200. [PMID: 34432005 PMCID: PMC8449829 DOI: 10.1093/gbe/evab200] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2021] [Indexed: 12/18/2022] Open
Abstract
Species are indisputable units for biodiversity conservation, yet their delimitation is fraught with both conceptual and methodological difficulties. A classic example is the taxonomic controversy surrounding the Gila robusta complex in the lower Colorado River of southwestern North America. Nominal species designations were originally defined according to weakly diagnostic morphological differences, but these conflicted with subsequent genetic analyses. Given this ambiguity, the complex was re-defined as a single polytypic unit, with the proposed "threatened" status under the U.S. Endangered Species Act of two elements being withdrawn. Here we re-evaluated the status of the complex by utilizing dense spatial and genomic sampling (n = 387 and >22 k loci), coupled with SNP-based coalescent and polymorphism-aware phylogenetic models. In doing so, we found that all three species were indeed supported as evolutionarily independent lineages, despite widespread phylogenetic discordance. To juxtapose this discrepancy with previous studies, we first categorized those evolutionary mechanisms driving discordance, then tested (and subsequently rejected) prior hypotheses which argued phylogenetic discord in the complex was driven by the hybrid origin of Gila nigra. The inconsistent patterns of diversity we found within G. robusta were instead associated with rapid Plio-Pleistocene drainage evolution, with subsequent divergence within the "anomaly zone" of tree space producing ambiguities that served to confound prior studies. Our results not only support the resurrection of the three species as distinct entities but also offer an empirical example of how phylogenetic discordance can be categorized within other recalcitrant taxa, particularly when variation is primarily partitioned at the species level.
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Affiliation(s)
- Tyler K Chafin
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA
| | - Marlis R Douglas
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
| | - Max R Bangs
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
- Department of Biological Science, Florida State University, Tallahassee, Florida, USA
| | - Bradley T Martin
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
- Global Campus, University of Arkansas, Fayetteville, Arkansas, USA
| | - Steven M Mussmann
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
- Southwestern Native Aquatic Resources and Recovery Center, U.S. Fish & Wildlife Service, Dexter, New Mexico, USA
| | - Michael E Douglas
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
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14
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Chafin TK, Zbinden ZD, Douglas MR, Martin BT, Middaugh CR, Gray MC, Ballard JR, Douglas ME. Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer. Evol Appl 2021; 14:1673-1689. [PMID: 34178112 PMCID: PMC8210790 DOI: 10.1111/eva.13233] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 03/10/2021] [Indexed: 01/16/2023] Open
Abstract
Approximately 100 years ago, unregulated harvest nearly eliminated white-tailed deer (Odocoileus virginianus) from eastern North America, which subsequently served to catalyze wildlife management as a national priority. An extensive stock-replenishment effort soon followed, with deer broadly translocated among states as a means of re-establishment. However, an unintended consequence was that natural patterns of gene flow became obscured and pretranslocation signatures of population structure were replaced. We applied cutting-edge molecular and biogeographic tools to disentangle genetic signatures of historical management from those reflecting spatially heterogeneous dispersal by evaluating 35,099 single nucleotide polymorphisms (SNPs) derived via reduced-representation genomic sequencing from 1143 deer sampled statewide in Arkansas. We then employed Simpson's diversity index to summarize ancestry assignments and visualize spatial genetic transitions. Using sub-sampled transects across these transitions, we tested clinal patterns across loci against theoretical expectations of their response under scenarios of re-colonization and restricted dispersal. Two salient results emerged: (A) Genetic signatures from historic translocations are demonstrably apparent; and (B) Geographic filters (major rivers; urban centers; highways) now act as inflection points for the distribution of this contemporary ancestry. These results yielded a statewide assessment of contemporary population structure in deer as driven by historic translocations as well as ongoing processes. In addition, the analytical framework employed herein to effectively decipher extant/historic drivers of deer distribution in Arkansas is also applicable for other biodiversity elements with similarly complex demographic histories.
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Affiliation(s)
- Tyler K. Chafin
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
- Present address:
Department of Ecology and Evolutionary BiologyUniversity of ColoradoBoulderCOUSA
| | - Zachery D. Zbinden
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
| | - Marlis R. Douglas
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
| | - Bradley T. Martin
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
| | | | - M. Cory Gray
- Research DivisionArkansas Game and Fish CommissionLittle RockARUSA
| | | | - Michael E. Douglas
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
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15
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Martin BT, Douglas MR, Chafin TK, Placyk JS, Birkhead RD, Phillips CA, Douglas ME. Contrasting signatures of introgression in North American box turtle (
Terrapene
spp.) contact zones. Mol Ecol 2020; 29:4186-4202. [DOI: 10.1111/mec.15622] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 08/19/2020] [Accepted: 08/24/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Bradley T. Martin
- Department of Biological Sciences University of Arkansas Fayetteville AR USA
| | - Marlis R. Douglas
- Department of Biological Sciences University of Arkansas Fayetteville AR USA
| | - Tyler K. Chafin
- Department of Biological Sciences University of Arkansas Fayetteville AR USA
| | - John S. Placyk
- Department of Biology University of Texas Tyler TX USA
- Science Division Trinity Valley Community College Athens TX USA
| | | | - Christopher A. Phillips
- Illinois Natural History Survey Prairie Research Institute University of Illinois Champaign IL USA
| | - Michael E. Douglas
- Department of Biological Sciences University of Arkansas Fayetteville AR USA
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16
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Mussmann SM, Douglas MR, Oakey DD, Douglas ME. Defining relictual biodiversity: Conservation units in speckled dace (Leuciscidae: Rhinichthys osculus) of the Greater Death Valley ecosystem. Ecol Evol 2020; 10:10798-10817. [PMID: 33072297 PMCID: PMC7548178 DOI: 10.1002/ece3.6736] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/19/2020] [Accepted: 08/11/2020] [Indexed: 12/14/2022] Open
Abstract
The tips in the tree of life serve as foci for conservation and management, yet clear delimitations are masked by inherent variance at the species-population interface. Analyses using thousands of nuclear loci can potentially sort inconsistencies, yet standard categories applied to this parsing are themselves potentially conflicting and/or subjective [e.g., DPS (distinct population segments); DUs (Diagnosable Units-Canada); MUs (management units); SSP (subspecies); ESUs (Evolutionarily Significant Units); and UIEUs (uniquely identified evolutionary units)]. One potential solution for consistent categorization is to create a comparative framework by accumulating statistical results from independent studies and evaluating congruence among data sets. Our study illustrates this approach in speckled dace (Leuciscidae: Rhinichthys osculus) endemic to two basins (Owens and Amargosa) in the Death Valley ecosystem. These fish persist in the Mojave Desert as isolated Plio-Pleistocene relicts and are of conservation concern, but lack formal taxonomic descriptions/designations. Double digest RAD (ddRAD) methods identified 14,355 SNP loci across 10 populations (N = 140). Species delimitation analyses [multispecies coalescent (MSC) and unsupervised machine learning (UML)] delineated four putative ESUs. F ST outlier loci (N = 106) were juxtaposed to uncover the potential for localized adaptations. We detected one hybrid population that resulted from upstream reconnection of habitat following contemporary pluvial periods, whereas remaining populations represent relics of ancient tectonism within geographically isolated springs and groundwater-fed streams. Our study offers three salient conclusions: a blueprint for a multifaceted delimitation of conservation units; a proposed mechanism by which criteria for intraspecific biodiversity can be potentially standardized; and a strong argument for the proactive management of critically endangered Death Valley ecosystem fishes.
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Affiliation(s)
- Steven M. Mussmann
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
| | - Marlis R. Douglas
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
| | - David D. Oakey
- School of Life SciencesArizona State UniversityTempeAZUSA
- Present address:
Arizona State Veteran HomePhoenixAZUSA
| | - Michael E. Douglas
- Department of Biological SciencesUniversity of ArkansasFayettevilleARUSA
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17
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Wright AD, Garrison NL, Williams AS, Johnson PD, Whelan NV. Range reduction of Oblong Rocksnail, Leptoxis compacta, shapes riverscape genetic patterns. PeerJ 2020; 8:e9789. [PMID: 32953269 PMCID: PMC7473045 DOI: 10.7717/peerj.9789] [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: 05/13/2020] [Accepted: 07/31/2020] [Indexed: 12/21/2022] Open
Abstract
Many freshwater gastropod species face extinction, including 79% of species in the family Pleuroceridae. The Oblong Rocksnail, Leptoxis compacta, is a narrow range endemic pleurocerid from the Cahaba River basin in central Alabama that has seen rapid range contraction in the last 100 years. Such a decline is expected to negatively affect genetic diversity in the species. However, precise patterns of genetic variation and gene flow across the restricted range of L. compacta are unknown. This lack of information limits our understanding of human impacts on the Cahaba River system and Pleuroceridae. Here, we show that L. compacta has likely seen a species-wide decline in genetic diversity, but remaining populations have relatively high genetic diversity. We also report a contemporary range extension compared to the last published survey. Our findings indicate that historical range contraction has resulted in the absence of common genetic patterns seen in many riverine taxa like isolation by distance as the small distribution of L. compacta allows for relatively unrestricted gene flow across its remaining range despite limited dispersal abilities. Two collection sites had higher genetic diversity than others, and broodstock sites for future captive propagation and reintroduction efforts should utilize sites identified here as having the highest genetic diversity. Broadly, our results support the hypothesis that range contraction will result in the reduction of species-wide genetic diversity, and common riverscape genetic patterns cannot be assumed to be present in species facing extinction risk.
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Affiliation(s)
| | - Nicole L Garrison
- School of Fisheries, Aquaculture, and Aquatic Sciences, College of Agriculture, Auburn University, Auburn, AL, United States of America.,Department of Natural Resources and Mathematics, West Liberty University, West Liberty, WV, United States of America
| | - Ashantye' S Williams
- Southeast Conservation Genetics Lab, Warm Springs Fish Technology Center, United States Fish and Wildlife Service, Auburn, AL, United States of America
| | - Paul D Johnson
- Alabama Aquatic Biodiversity Center, Alabama Department of Conservation and Natural Resources, Marion, AL, United States of America
| | - Nathan V Whelan
- School of Fisheries, Aquaculture, and Aquatic Sciences, College of Agriculture, Auburn University, Auburn, AL, United States of America.,Southeast Conservation Genetics Lab, Warm Springs Fish Technology Center, United States Fish and Wildlife Service, Auburn, AL, United States of America
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