scholarly journals Phylogeography of the Brittle Star Ophiura sarsii Lütken, 1855 (Echinodermata: Ophiuroidea) from the Barents Sea and East Atlantic

Diversity ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 40
Author(s):  
Evgeny Genelt-Yanovskiy ◽  
Yixuan Li ◽  
Ekaterina Stratanenko ◽  
Natalia Zhuravleva ◽  
Natalia Strelkova ◽  
...  

Ophiura sarsii is a common brittle star species across the Arctic and Sub-Arctic regions of the Atlantic and the Pacific oceans. Ophiurasarsii is among the dominant echinoderms in the Barents Sea. We studied the genetic diversity of O.sarsii by sequencing the 548 bp fragment of the mitochondrial COI gene. Ophiurasarsii demonstrated high genetic diversity in the Barents Sea. Both major Atlantic mtDNA lineages were present in the Barents Sea and were evenly distributed between the northern waters around Svalbard archipelago and the southern part near Murmansk coast of Kola Peninsula. Both regions, and other parts of the O.sarsii range, were characterized by high haplotype diversity with a significant number of private haplotypes being mostly satellites to the two dominant haplotypes, each belonging to a different mtDNA clade. Demographic analyses indicated that the demographic and spatial expansion of O.sarsii in the Barents Sea most plausibly has started in the Bølling–Allerød interstadial during the deglaciation of the western margin of the Barents Sea.

Author(s):  
Evgeny Genelt-Yanovskiy ◽  
Yixuan Li ◽  
Ekaterina Stratanenko ◽  
Natalia Zhuravleva ◽  
Natalia Strelkova ◽  
...  

Ophiura sarsii is a common brittle star species across Arctic and subarctic regions of Atlantic and Pacific oceans. In the Barents Sea O. sarsii is among the dominant echinoderms. We studied genetic diversity of O. sarsii by sequencing the 548 bp fragment of mitochondrial COI gene. O.sarsii demonstrated high genetic diversity in the Barents Sea. Both major Atlantic mtDNA lineages were present in the Barents Sea and were evenly distributed between the northern waters around Svalbard archipelago and the southern part near Murmansk coast of Kola Peninsula. Both regions, as well as other parts of the O.sarsii range, were characterized by high haplotype diversity with a significant number of private haplotypes, being mostly satellites to the two dominant haplotypes, each belonging to a different mtDNA clade. Demographic analyses indicated that the demographic and spatial expansion of Ophiura sarsii in the Barents Sea most plausibly has started during the Bølling–Allerød interstadial, during the deglaciation of the western margin of the Barents Sea.


Author(s):  
Rasmus Benestad

The Barents Sea is a region of the Arctic Ocean named after one of its first known explorers (1594–1597), Willem Barentsz from the Netherlands, although there are accounts of earlier explorations: the Norwegian seafarer Ottar rounded the northern tip of Europe and explored the Barents and White Seas between 870 and 890 ce, a journey followed by a number of Norsemen; Pomors hunted seals and walruses in the region; and Novgorodian merchants engaged in the fur trade. These seafarers were probably the first to accumulate knowledge about the nature of sea ice in the Barents region; however, scientific expeditions and the exploration of the climate of the region had to wait until the invention and employment of scientific instruments such as the thermometer and barometer. Most of the early exploration involved mapping the land and the sea ice and making geographical observations. There were also many unsuccessful attempts to use the Northeast Passage to reach the Bering Strait. The first scientific expeditions involved F. P. Litke (1821±1824), P. K. Pakhtusov (1834±1835), A. K. Tsivol’ka (1837±1839), and Henrik Mohn (1876–1878), who recorded oceanographic, ice, and meteorological conditions.The scientific study of the Barents region and its climate has been spearheaded by a number of campaigns. There were four generations of the International Polar Year (IPY): 1882–1883, 1932–1933, 1957–1958, and 2007–2008. A British polar campaign was launched in July 1945 with Antarctic operations administered by the Colonial Office, renamed as the Falkland Islands Dependencies Survey (FIDS); it included a scientific bureau by 1950. It was rebranded as the British Antarctic Survey (BAS) in 1962 (British Antarctic Survey History leaflet). While BAS had its initial emphasis on the Antarctic, it has also been involved in science projects in the Barents region. The most dedicated mission to the Arctic and the Barents region has been the Arctic Monitoring and Assessment Programme (AMAP), which has commissioned a series of reports on the Arctic climate: the Arctic Climate Impact Assessment (ACIA) report, the Snow Water Ice and Permafrost in the Arctic (SWIPA) report, and the Adaptive Actions in a Changing Arctic (AACA) report.The climate of the Barents Sea is strongly influenced by the warm waters from the Norwegian current bringing heat from the subtropical North Atlantic. The region is 10°C–15°C warmer than the average temperature on the same latitude, and a large part of the Barents Sea is open water even in winter. It is roughly bounded by the Svalbard archipelago, northern Fennoscandia, the Kanin Peninsula, Kolguyev Island, Novaya Zemlya, and Franz Josef Land, and is a shallow ocean basin which constrains physical processes such as currents and convection. To the west, the Greenland Sea forms a buffer region with some of the strongest temperature gradients on earth between Iceland and Greenland. The combination of a strong temperature gradient and westerlies influences air pressure, wind patterns, and storm tracks. The strong temperature contrast between sea ice and open water in the northern part sets the stage for polar lows, as well as heat and moisture exchange between ocean and atmosphere. Glaciers on the Arctic islands generate icebergs, which may drift in the Barents Sea subject to wind and ocean currents.The land encircling the Barents Sea includes regions with permafrost and tundra. Precipitation comes mainly from synoptic storms and weather fronts; it falls as snow in the winter and rain in the summer. The land area is snow-covered in winter, and rivers in the region drain the rainwater and meltwater into the Barents Sea. Pronounced natural variations in the seasonal weather statistics can be linked to variations in the polar jet stream and Rossby waves, which result in a clustering of storm activity, blocking high-pressure systems. The Barents region is subject to rapid climate change due to a “polar amplification,” and observations from Svalbard suggest that the past warming trend ranks among the strongest recorded on earth. The regional change is reinforced by a number of feedback effects, such as receding sea-ice cover and influx of mild moist air from the south.


2019 ◽  
Vol 113 (1) ◽  
pp. 34-42 ◽  
Author(s):  
Atsalek Rattanawannee ◽  
Orawan Duangphakdee ◽  
Chanpen Chanchao ◽  
Chinachote Teerapakpinyo ◽  
Nattapot Warrit ◽  
...  

Abstract Domestication of animal species is often associated with a reduction in genetic diversity. The honey bee, Apis mellifera Linnaeus, 1758, has been managed by beekeepers for millennia for both honey and wax production and for crop pollination. Here we use both microsatellite markers and sequence data from the mitochondrial COI gene to evaluate genetic variation of managed A. mellifera in Thailand, where the species is introduced. Microsatellite analysis revealed high average genetic diversity with expected heterozygosities ranging from 0.620 ± 0.184 to 0.734 ± 0.071 per locus per province. Observed heterozygosities were generally lower than those expected under Hardy–Weinberg equilibrium, both locally and across the population as a whole. Mitochondrial sequencing revealed that the frequency of two evolutionary linages (C—Eastern European and O—Middle Eastern) are similar to those observed in a previous survey 10 yr ago. Our results suggest that Thai beekeepers are managing their A. mellifera in ways that retain overall genetic diversity, but reduce genetic diversity between apiaries.


2021 ◽  
Author(s):  
Sergey Berdnikov ◽  
Vera Sorokina ◽  
Valerii Kulygin

<p>Changes in the Arctic environment in recent decades may result in favourable conditions for the increase of biological production. However, there are not many well-documented climate-related shifts in plankton, fish and benthic communities in the Arctic Ocean marine ecosystems, and there is significant uncertainty about the present and future productivity values. Researchers often estimate (using forecasts, etc.) how some key stocks may respond to future climatic changes to assess the prospects of fisheries.<br>In our study, applying the Ecopath multi-species balance production model, we estimated the distribution of climate-induced primary productivity increase, along the food web in the Barents Sea ecosystem. Assessment was made for two periods (“cold” (1970-1990) and “warm” (1991-2016)) and three regions - the Southern Barents Sea and the adjacent areas of the Norwegian Sea, the Svalbard Archipelago region, and the Northern Barents Sea. For each identified area, the food web has differences in both the structure and quantitative indices (for example, in abundance and biomass) of different trophic groups in different periods, in particular, during the increased ice coverage and relative warming.<br>We propose a new approach to assess food rations for the Ecopath model. It allows to consider more flexibly the change in the ecosystem food structure, associated with changes in biomasses (stocks) and the appearance of new species in the studied area due to environmental fluctuations related to marine climate warming. Based on the simulation results, we made conclusions concerning the observed and probable changes, related to the primary productivity increase, in the considered ecosystems of the three identified Barents Sea regions.<br>An integral indicator of the mean trophic level reflects climate-induced changes in the Barents Sea ecosystem. It remained almost unchanged in the southern region but increased for the Northern region and the Svalbard region. This is due to the fact that new species appeared in the structure of food webs of these regions and/or the existed species' biomass (stocks) changed during the warm period when compared to the cold one.<br>А generalized indicator of biological diversity is an additional evidence of climate-induced changes in the primary production. During the warm period, the Shannon Biodiversity Index for the Northern and the Svalbard regions increases, while it decreases in the Southern region mainly because the biomass of the main trophic groups (cod, herring) increases.<br>The commercial fishing increase in the Northern and the Svalbard Archipelago regions is likely to be expected. However, there is a possibility that there will be increased stratification between the upper cold and less salty water masses formed by melt ice and the Atlantic water below, which becomes cooler and denser. This can lead to the decrease in the nutrients content of the productive zone and prevent the positive effects of the warm water inflow.</p>


2021 ◽  
Vol 288 (1958) ◽  
pp. 20211741 ◽  
Author(s):  
Simo Njabulo Maduna ◽  
Jon Aars ◽  
Ida Fløystad ◽  
Cornelya F. C. Klütsch ◽  
Eve M. L. Zeyl Fiskebeck ◽  
...  

Loss of Arctic sea ice owing to climate change is predicted to reduce both genetic diversity and gene flow in ice-dependent species, with potentially negative consequences for their long-term viability. Here, we tested for the population-genetic impacts of reduced sea ice cover on the polar bear ( Ursus maritimus ) sampled across two decades (1995–2016) from the Svalbard Archipelago, Norway, an area that is affected by rapid sea ice loss in the Arctic Barents Sea. We analysed genetic variation at 22 microsatellite loci for 626 polar bears from four sampling areas within the archipelago. Our results revealed a 3–10% loss of genetic diversity across the study period, accompanied by a near 200% increase in genetic differentiation across regions. These effects may best be explained by a decrease in gene flow caused by habitat fragmentation owing to the loss of sea ice coverage, resulting in increased inbreeding of local polar bears within the focal sampling areas in the Svalbard Archipelago. This study illustrates the importance of genetic monitoring for developing adaptive management strategies for polar bears and other ice-dependent species.


2021 ◽  
Author(s):  
Yingying Ye ◽  
Chengrui Yan ◽  
Ferruccio Maltagliati ◽  
Zeqin Fu ◽  
Baoying Guo ◽  
...  

Abstract Perna viridis is a mussel commonly distributed along the Asian Indo-Pacific coasts. It is one of the main cultured species of that region. Previous studies focused mostly on the native populations within single countries; with the present study we analyzed the genetic diversity of P. viridis in a large study area, spanning from Oman to southern China. Three molecular markers were used, namely portions of the nuclear ITS region, and the mitochondrial COI gene and D-Loop region. The nuclear marker showed moderate levels of genetic diversity (haplotype diversity h = 0.543 to 0.897) and nucleotide diversity π = 0.0022 to 0.0064); whereas mitochondrial markers exhibited higher levels of genetic variability (h = 0.858 to 0.964 and π = 0.0012 to 0.0079). The estimates of inter-sample genetic divergence (FST) and the analysis of molecular variance highlighted that the Thai population is genetically divergent from the others. Our results showed the genetic variation of P. viridis at the rim of South China Sea and obtained the genetic basic information of P. viridis.


2020 ◽  
Author(s):  
Gunilla Ståhls ◽  
Rudolf Meier ◽  
Christoph Sandrock ◽  
Martin Hauser ◽  
Ljiljana Šašić Zorić ◽  
...  

Abstract Background The black soldier fly (Diptera: Stratiomyidae, Hermetia illucens ) is renowned for bioconversion ability of organic waste, and is the worldwide most widely used source of insect protein. Despite varying extensively in morphology, it is widely assumed that all black soldier flies belong to the same species, Hermetia illucens . We here use genetic data of 424 rearing culture and wild caught fly samples from 38 countries and six biogeographic regions to test this assumption based on data for three genes (mitochondrial COI, nuclear ITS2 & 28S rDNA). Results Our study reveals a surprisingly high level of intraspecific genetic diversity for the mitochondrial COI gene (divergences up to 4.9%). This level of variability is often associated with the presence of multiple species, but tested nuclear ITS2 and 28S rDNA markers are invariant and fly strain hybridization experiments under laboratory conditions revealed reproductive compatibility. COI haplotype diversity is not only very high in all biogeographic regions (54 distinct haplotypes in total), but also in breeding facilities and research centers from six continents (10 haplotypes: divergences up to 4.3%). The high genetic diversity in fly-breeding facilities is mostly likely explained by many independent acquisitions of cultures via sharing and/or establishing new colonies from wild-caught flies. However, explaining the observed high diversity in most biogeographic regions is difficult. The origin of the species is considered to be New World (32 distinct haplotypes) and one would expect severely reduced genetic diversity in the putatively non-native populations in the remaining biogeographic regions. But distinct, private haplotypes are also known from the Australasian (N=2), Oriental (N=4), and the Palearctic (N=5) populations. We review museum specimen records and conclude that the evidence for introductions is strong for the Western Palearctic and the Afrotropical regions which lack distinct, private haplotypes. Conclusions Based on the results of this paper, we urge the black soldier fly community to apply molecular characterization (genotyping) of the fly strains used in artificial fly-breeding and to share this data in research publications and when sharing cultures. In addition, fast-evolving nuclear markers should be used to reconstruct the recent invasion history of the species.


2017 ◽  
Vol 92 (2) ◽  
pp. 254-259 ◽  
Author(s):  
P. Eamsobhana ◽  
H.S. Yong ◽  
S.L. Song ◽  
A. Prasartvit ◽  
S. Boonyong ◽  
...  

AbstractThe rat lungworm Angiostrongylus malaysiensis is a metastrongyloid nematode parasite. It has been reported in Malaysia, Thailand, Laos, Myanmar, Indonesia and Japan. In this study, A. malaysiensis adult worms recovered from the lungs of wild rats in different geographical regions/provinces in Thailand were used to determine their haplotype by means of the mitochondrial partial cytochrome c oxidase subunit I (COI) gene sequence. The results revealed high COI haplotype diversity of A. malaysiensis from Thailand. The geographical isolates of A. malaysiensis from Thailand and other countries formed a monophyletic clade distinct from the closely related A. cantonensis. In the present study, five new haplotypes were identified in addition to the four haplotypes reported in the literature. Phylogenetic analysis revealed that four of these five new haplotypes – one from Mae Hong Song (northern region), two from Tak (western region) and one from Phang Nga (southern region) – formed a distinct clade with those from Phatthalung (southern region) and Malaysia. The haplotype from Malaysia was identical to that of Phatthalung (haplotype AM1). In general, the COI sequences did not differentiate unambiguously the various geographical isolates of A. malaysiensis. This study has confirmed the presence of high COI genetic diversity in various geographical isolates of A. malaysiensis. The COI gene sequence will be suitable for studying genetic diversity, population structure and phylogeography.


2020 ◽  
Author(s):  
Gunilla Ståhls ◽  
Rudolf Meier ◽  
Christoph Sandrock ◽  
Martin Hauser ◽  
Ljiljana Šašić Zorić ◽  
...  

Abstract Background The black soldier fly (Diptera: Stratiomyidae, Hermetia illucens) is renowned for bioconversion ability of organic waste, and is the worldwide most widely used source of insect protein. Despite varying extensively in morphology, it is widely assumed that all black soldier flies belong to the same species, Hermetia illucens. We here use genetic data of 424 rearing culture and wild caught fly samples from 38 countries and six biogeographic regions to test this assumption based on data for three genes (mitochondrial COI, nuclear ITS2 & 28S rDNA). Results Our study reveals a surprisingly high level of intraspecific genetic diversity for the mitochondrial COI gene (divergences up to 4.9%). This level of variability is often associated with the presence of multiple species, but tested nuclear ITS2 and 28S rDNA markers are invariant and fly strain hybridization experiments under laboratory conditions revealed reproductive compatibility. COI haplotype diversity is not only very high in all biogeographic regions (54 distinct haplotypes in total), but also in breeding facilities and research centers from six continents (10 haplotypes: divergences up to 4.3%). The high genetic diversity in fly-breeding facilities is mostly likely explained by many independent acquisitions of cultures via sharing and/or establishing new colonies from wild-caught flies. However, explaining the observed high diversity in most biogeographic regions is difficult. The origin of the species is considered to be New World (32 distinct haplotypes) and one would expect severely reduced genetic diversity in the putatively non-native populations in the remaining biogeographic regions. But distinct, private haplotypes are also known from the Australasian (N=2), Oriental (N=4), and the Palearctic (N=5) populations. We review museum specimen records and conclude that the evidence for introductions is strong for the Western Palearctic and the Afrotropical regions which lack distinct, private haplotypes. Conclusions Based on the results of this paper, we urge the black soldier fly community to apply molecular characterization (genotyping) of the fly strains used in artificial fly-breeding and to share this data in research publications and when sharing cultures. In addition, fast-evolving nuclear markers should be used to reconstruct the recent invasion history of the species.


2021 ◽  
Author(s):  
Hannah Zanowski ◽  
Alexandra Jahn ◽  
Marika Holland

<p>Recently, the Arctic has undergone substantial changes in sea ice cover and the hydrologic cycle, both of which strongly impact the freshwater storage in, and export from, the Arctic Ocean. Here we analyze Arctic freshwater storage and fluxes in 7 climate models from the Coupled Model Intercomparison Project phase 6 (CMIP6) and assess their agreement over the historical period (1980-2000) and in two future emissions scenarios, SSP1-2.6 and SSP5-8.5. In the historical simulation, few models agree closely with observations over 1980-2000. In both future scenarios the models show an increase in liquid (ocean) freshwater storage in conjunction with a reduction in solid storage and fluxes through the major Arctic gateways (Bering Strait, Fram Strait, Davis Strait, and the Barents Sea Opening) that is typically larger for SSP5-8.5 than SSP1-2.6. The liquid fluxes through the gateways exhibit a more complex pattern, with models exhibiting a change in sign of the freshwater flux through the Barents Sea Opening and little change in the flux through the Bering Strait in addition to increased export from the remaining straits by the end of the 21st century. A decomposition of the liquid fluxes into their salinity and volume contributions shows that the Barents Sea flux changes are driven by salinity changes, while the Bering Strait flux changes are driven by compensating salinity and volume changes. In the straits west of Greenland (Nares, Barrow, and Davis straits), the models disagree on whether there will be a decrease, increase, or steady liquid freshwater export in the early to mid 21st century, although they mostly show increased liquid freshwater export in the late 21st century. The underlying cause of this is a difference in the magnitude and timing of a simulated decrease in the volume flux through these straits. Although the models broadly agree on the sign of late 21st century storage and flux changes, substantial differences exist between the magnitude of these changes and the models’ Arctic mean states, which shows no fundamental improvement in the models compared to CMIP5.</p>


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