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opencc-by-4.0Jun 2017View details →

Figs. 7–9 in Armored scales (Hemiptera: Diaspididae) infesting Hass avocado intercepted in Florida and a new parasitoid-host association for Davidsonaspis aguacatae

Figs. 7–9. Parasitized Davidsonaspis aguacatae adult female: 7. Encarsia lounsburyi adult female and adjacent D. aguacatae crawler; pl–pygidial lobe, t–tentorium. 8. Details of D. aguacatae crawler; ant–antenna, l–leg, ms–maxillary stylet, pl–pygidial lobe. 9. Details of E. lounsburyi adult female.

Fig. 4 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 4. Predicted mean and standard error body condition scores show associations with infection presence and season, with co-infected buffalo in much lower condition in the early wet season (Table S2). Coccidia infection status is represented with C– and C+; nematode infection status is represented with N– and N+.

Fig. 5 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 5. Season and co-infection differences in nematode aggregation. (a) Aggregation patterns in calves (b) and non-calves. (c) In non-calves, the distribution of nematode parasites in the late wet season shows that k is not significantly different in coccidia positive vs. negative buffalo. (d) In the early wet season coccidia positive buffalo have a truncated distribution, resulting in significantly reduced aggregation. Arrows indicate nematode intensity values in the tail of the distribution of coccidia negative buffalo. Coccidia infection status is represented with C– and C+.

Fig. 3 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 3. Patterns of parasite egg/oocyst counts with co-infection for (a) nematodes and (b) coccidia. (c), the mean nematode intensity in calves is higher in early wet season than in the late wet season independent of co-infection with coccidia. (d) Co-infection with coccidia alters the seasonal patterns of nematode intensity in non-calf buffalo (>1 year, juvenile through senescent). Calf vs. non-calf division is based on model paramters (Table 1).

Fig. 2 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 2. Age specific patterns of parasite prevalence with co-infection. (a) Prevalence of nematodes is higher in buffalo co-infected with coccidia (C+) compared to coccidia negative buffalo (C–) in all age categories (N = 33, 318, 166, 272, 162 for calf, juvenile, subadult, adult and senescent C– buffalo; N = 58, 237, 55, 54, 20 for C+ buffalo). (b) Prevalence of coccidia is higher in buffalo co-infected with nematodes (N+) compared to nematode negative buffalo (N–) in calf, juvenile, subadult, and senescent buffalo but not adult buffalo (N = 13, 107, 92, 144, 56 for calf, juvenile, subadult, adult and senescent N– buffalo; N = 38, 448, 129, 208, 100 for N+ buffalo).

Fig. 1 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy

Fig. 1. Age, sex and seasonal patterns of infection. Both parasites had the highest (a) prevalence (sample size for calf, juvenile, subadult, adult, and senescent respectively: N = 91, 555, 221, 326, 182) and (b) mean intensity in calves and juveniles (nematode N = 78, 448, 129, 208, 100; coccidia N = 58, 237, 55, 60, 14). (c) Males had lower estimated nematode prevalence and (d) higher estimated coccidia intensity compared to female buffalo. (e) The estimated nematode prevalence, coccidia prevalence, and (f) mean coccidia intensity were all increased in the early wet season compared to the late wet season. ‡Indicates significant differences at p <0.05.

Fig. 5 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis

Fig. 5. Spatial autocorrelation in the total tick number of counted nests, measured as Moran's I, across three distance classes: a, 1st visit; b, 2nd visit; c, 3rd visit; d, 4th visit; e, 5th visit; f, 6th visit. Circles indicate the autocorrelation coefficients. The same results were obtained with female count numbers.

Fig. 2 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis

Fig. 2. Histogram presenting the mean number of ticks observed in all nests over time. Bars represent mean standard errors of the total number of ticks.

Fig. 3 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis

Fig. 3. Boxplot representations of tick numbers in counted and collected nests over time: a, females only; b, males only; c, nymphs. The box shows the median as a line across the middle and the quartiles (25th and 75th percentiles) at either end. Extremities represent the minimal and maximal values and circles represent outliers.

Fig. 1 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis

Fig. 1. Map showing the position of the 30 tracked nests on Carteau Island, in the Camargue region of France (represented by the red point on the bottom right map). Orange points represent the 15 nests in which ticks were counted and released. The green points are those nests where all ticks were counted and collected. Stars within the points represent the nests in which ticks were used for the screening of infectious agents. Boxes indicate the number of ticks screened and the detected infectious agents: Ana: Anaplasma spp.; Bab: Babesia spp.; Bar: Bartonella spp.; Bor: Borrelia spp.; Cox: Coxiella-like symbiont; Fra: Francisella-like symbiont; Ri: Rickettsia helvetica; Ri-like: Rickettsia-like symbiont. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Fig. 4 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis

Fig. 4. Spatial autocorrelation in total tick number estimated by Moran's I (Sokal and Oden, 1978). Data are from the first visit in the colony and include nests of both treatments. Ten distance classes representing 10 m between marked nests have been defined. No index value was significantly different from zero. The same results were obtained using female count data only (results not shown).

Fig. 4 in The distribution and host-association of a haemoparasite of damselfishes (Pomacentridae) from the eastern Caribbean based on a combination of morphology and 18S rDNA sequences

Fig. 4. Phylogenetic analysis of the Haemohormidium-like parasite based on 18S rDNA sequences. Bayesian inference (BI) analysis showing the phylogenetic relationships for 8 Haemohormidium-like parasite isolates, 6 from the present study (GenBank: MH401637-42) (in bold) and 2 from Renoux et al. (2017), isolated from three species of Stegastes including Stegastes adustus, Stegastes diencaeus and Stegastes planifrons, from 5 sites in the eastern Caribbean. Comparative sequences representing known coccidia, with Adelina dimidiata (DQ096835) as outgroup, were downloaded from the GenBank database. Nodal support values> 50% are represented on the tree.

Fig. 2 in The distribution and host-association of a haemoparasite of damselfishes (Pomacentridae) from the eastern Caribbean based on a combination of morphology and 18S rDNA sequences

Fig. 2. Peripheral blood stages of the Haemohormidium-like parasite infecting species of Stegastes. Giemsa stained light micrographs of the Haemohormidium-like parasite as observed in the peripheral blood of Stegastes diencaeus from St Thomas, eastern Caribbean (Genbank accession number MH401641). A. rare possible trophozoite stage. B. possible meront stages undergoing transverse binary fission. C. possible meront stages undergoing longitudinal binary fission. Scale bar = 10 μm.

Fig. 3 in The distribution and host-association of a haemoparasite of damselfishes (Pomacentridae) from the eastern Caribbean based on a combination of morphology and 18S rDNA sequences

Fig. 3. Prevalence of infection differences among six Stegastes spp., averaged across six study sites. 95% confidence intervals calculated using the Wilson procedure with continuity corrections. Different lower-case letters above each bar indicates a significant (p ≤ 0.05) difference between species, as indicated by a binomial logistic regression (GLMM results shown in Table 1).

Fig. 1 in The distribution and host-association of a haemoparasite of damselfishes (Pomacentridae) from the eastern Caribbean based on a combination of morphology and 18S rDNA sequences

Fig. 1. Map of the Eastern Caribbean region showing collection sites for the current study and Cook et al., 2015.

opencc-by-4.0Apr 2019View details →

A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals (16S rRNA gene sequencing data)

<p>Microbiome data accompanying manuscript "A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals". Data is available for alpha- and beta- diversity, as well as for individual taxa both in binary and quantitative phenotypic representation. Data is available for 827 individuals that gave consent for their data to be shared outside of the Milieu intérieur consortium. </p>

opencc-by-4.0Dec 2018View details →

A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals (Metadata)

<p>Associated demographic, lifestyle, environmental and biochemical metadata accompanying manuscript "A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals". Data is available for 827 individuals that gave consent for their data to be shared outside of the Milieu intérieur consortium. </p>

opencc-by-4.0Sep 2019View details →

Fig. 613 in Review of Aphidiinae parasitoids (Hymenoptera: Braconidae) of the Middle East and North Africa: key to species and host associations

Fig. 613. Map of the Middle East and North Africa. A country is highlighted with green color indicates that there are available data on aphidiine parasitoids. A country highlighted with red color, indicates that there are no available data on aphidiine parasitoids

opencc-by-4.0Sep 2019View details →

Figs 546–562 in Review of Aphidiinae parasitoids (Hymenoptera: Braconidae) of the Middle East and North Africa: key to species and host associations

Figs 546–562. Lateral aspect of ♀ genitalia: 546. Areopraon lepelleyi. 547. Betuloxys hortorum. 548. Binodoxys acalephae. 549. Binodoxys angelicae. 550. Binodoxys brevicornis. 551. Binodoxys centaureae. 552. Binodoxys heraclei. 553. Diaeretiella rapae. 554. Diaeretus leucopterus. 555. Ephedrus cerasicola. 556. Ephedrus chaitophori. 557. Ephedrus helleni. 558. Ephedrus lacertosus. 559. Ephedrus nacheri. 560. Ephedrus niger. 561. Ephedrus persicae. 562. Ephedrus plagiator.