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70 results for “Artemia”
Fig. 3 in An Effectiveness Of Artemia Nauplii Enrichment With Polyunsaturated Fatty Acids Using A Supplement Easy Dha Selco
Fig. 3. Lipase (А) та α-amylase (B) activities in Artemia nauplii at the different schemes of bioencapsulation with Easy DHA Selco.
Fig. 2 in An Effectiveness Of Artemia Nauplii Enrichment With Polyunsaturated Fatty Acids Using A Supplement Easy Dha Selco
Fig. 2. Total proteolytic activity in Artemia nauplii at the different pH during bioencapsulation with Easy DHA Selco (A – pH 4.8; B – pH 7.4; C – pH 9.0).
Figure 6 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 6. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Acıgöl Lake.
Figure 4 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 4. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Bolluk Lake.
Figure 3 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 3. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Tuz Lake.
Fig. 1 in Morphometric characterization of adult Artemia (Crustacea: Branchiopoda) populations from costal and inland Tunisian salt lakes
Fig. 1. Scatterplot of the first two canonical discriminant functions (group centroids) resulting from the discriminant analysis applied to morphological traits and morphometric data for the studied populations, using the origin of each population as a separation factor. Abbreviations for populations are explained in Table 1.
Fig 3 in Survival, growth, and biomass of brine shrimp (Artemia franciscana) fed with spirulina powder and soybean flour
Fig 3: The biomass of Artemia fed with different feeds at 21 days of rearing
Fig 2 in Survival, growth, and biomass of brine shrimp (Artemia franciscana) fed with spirulina powder and soybean flour
Fig 2: The body length of Artemia fed with different feeds at 21 days of rearing
Fig 1 in Survival, growth, and biomass of brine shrimp (Artemia franciscana) fed with spirulina powder and soybean flour
Fig 1: The survival rate of Artemia fed with different feeds at 21 days of rearing
Data from: Asexual male production by ZW recombination in Artemia parthenogenetica
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Data from: Long-term prevalence data reveals spillover dynamics in a multi-host (Artemia), multi-parasite (Microsporidia) community
In the study of multi-host parasites, it is often found that host species contribute asymmetrically to parasite transmission. Yet in natural populations, identifying which hosts contribute to parasite transmission and maintenance is a recurring challenge. Here, we approach this issue by taking advantage of natural variation in the composition of a host community. We studied the brine shrimps Artemia franciscana and Artemia parthenogenetica and their microsporidian parasites Anostracospora rigaudi and Enterocytospora artemiae. Previous laboratory experiments had shown that each host can transmit both parasites, but could not predict their actual contributions to the parasites' maintenance in the field. To resolve this, we gathered long-term prevalence data from a metacommunity of these species. Metacommunity patches could contain either or both of the Artemia host species, so that the presence of the hosts could be linked directly to the persistence of the parasites. First, we show that the microsporidian A. rigaudi is a spillover parasite: it was unable to persist in the absence of its maintenance host A. parthenogenetica. This result was particularly striking, as A. rigaudi displayed both high prevalence (in the field) and high infectivity (when tested in the laboratory) in both hosts. Moreover, the seasonal presence of A. parthenogenetica imposed seasonality on the rate of spillover, causing cyclical pseudo-endemics in the spillover host A. franciscana. Second, while our prevalence data was sufficient to identify E. artemiae as either a spillover or a facultative multi-host parasite, we could not distinguish between the two possibilities. This study supports the importance of studying the community context of multi-host parasites, and demonstrates that in appropriate multi-host systems, sampling across a range of conditions and host communities can lead to clear conclusions about the drivers of parasite persistence.
Data from: Resurrection ecology in Artemia
Resurrection Ecology (RE) is a very powerful approach to address a wide range of question in ecology and evolution. This approach rests on using appropriate model systems, and only few are known to be available. In this paper, we show that Artemia has multiple attractive features (short generation time, cyst bank and collections, well documented phylogeography and ecology) for a good RE model. We show in detail with a case study how cysts can be recovered from sediments to document the history and dynamics of a biological invasion. We finally discuss with precise examples the many RE possibilities with this model system: adaptation to climate change, to pollution, to parasites, to invaders and evolution of reproductive systems.
FIGURE 1. Parartemia acidiphila n in The brine shrimps (Artemia and Parartemia) of South Australia, including descriptions of four new species of Parartemia (Crustacea: Anostraca: Artemiina)
FIGURE 1. Parartemia acidiphila n. sp. Male. A-E, Holotype "Little Lake", SA; F-G from lake in Truslove Nature Reserve, Esperance hinterland, WA. A and F, anterior view of head with first and second antennae (VP = ventral processes, AP = anterior processes, MP = medial process); B, oblique view of inner edge of fused basal antennomere to show conical mound (CM) under the lateral corner of the ventral process; C and G, genital segments with gonopod bases and digitform processes (DP); D, partly expanded gonopod of a paratype; E, last two abdominal segments, telson and cercopods. Scale bars 1 mm.
FIGURE 4 in The brine shrimps (Artemia and Parartemia) of South Australia, including descriptions of four new species of Parartemia (Crustacea: Anostraca: Artemiina)
FIGURE 4. Map of South Australia showing sites where the new species were found. Key: P. acidiphila n. sp.˔; P. auriciforma n.sp. ˑ; P. triquetra n.sp.♦; P. yarleeensis n.sp. ․.
FIGURE 8 in The brine shrimps (Artemia and Parartemia) of South Australia, including descriptions of four new species of Parartemia (Crustacea: Anostraca: Artemiina)
FIGURE 8. Map of South Australia showing the distribution of Parartemia cylindrifera (․), P. minuta (˔) and P. zietziana (ˑ).
FIGURE 3. Parartemia acidiphila n in The brine shrimps (Artemia and Parartemia) of South Australia, including descriptions of four new species of Parartemia (Crustacea: Anostraca: Artemiina)
FIGURE 3. Parartemia acidiphila n. sp. Female. A-C, F and G, Allotype "Little Lake", SA; D-E from a lake in Truslove Nature Reserve, Esperance hinterland, WA. A, Dorsal view of last few thoracic segments, brood pouches and first two abdominal segments (L = lateral lobes; P = processes), B, lateral view of last few thoracic segments and brood pouch (P = processes); C, frontal view of head, D, lateral view of head; E, dorsal view of last few thoracic segments and brood pouch (L = lateral lobes; P = processes); F, G, Thoracopods 10 and 11 respectively. Scale bars 1 mm.
FIGURE 2. Parartemia acidiphila n in The brine shrimps (Artemia and Parartemia) of South Australia, including descriptions of four new species of Parartemia (Crustacea: Anostraca: Artemiina)
FIGURE 2. Parartemia acidiphila n. sp. Male, fifth thoracopod. Main diagram shows posterior setae (PS) and subsidiary diagram of endites shows the anterior setae (AS). Some setae enlarged. Key: End = endite, Edp = endopodite, Exp = exopodite, Epp =epipodite, Pep = praepipodite.
FIGURE 1 in A note on the biogeographical origin of the brine shrimp Artemia urmiana Günther, 1899 from Urmia Lake, Iran
FIGURE 1. Bayesian inference chronogram with estimated divergence times for Artemia individuals from Urmia Lake and Ukraine Lake. Numbers above dash shows bootstrap support (BS) for maximum likelihood and Bayesian posterior probabilities (BPP). Numbers at in the bottom dashes indicates divergence times for major clades. The divergence times are shown in scales (KYA).
FIGURE 2. Artemia persimilis female. A in Comparison of the amplexial morphology of two Argentine populations of Artemia (Crustacea, Anostraca, Artemiidae): a reliable taxonomical tool
FIGURE 2. Artemia persimilis female. A: Brood pouch, dorsal view (50x); B: Brood pouch, lateral view (50x). Abbreviations: FP: flattened projection; TP: tergal projection.
FIGURE 6. A in Comparison of the amplexial morphology of two Argentine populations of Artemia (Crustacea, Anostraca, Artemiidae): a reliable taxonomical tool
FIGURE 6. A. franciscana mating arrangement successive crosssections micrographs. Abbreviations: DA: distal articles of male second antennae; FK: frontal knobs; BP: brood pouch.
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