373 resultados para Rhizomucor pusillus


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The gut microbiota of Australian fur seals (Arctocephalus pusillus doriferus) was examined at different age classes using fluorescent in situ hybridisation (FISH) and 16S rRNA gene pyrosequencing. The FISH results indicated that in the fur seal groups, the predominant phyla are Firmicutes (22.14-67.33%) followed by Bacteroidetes (3.11-15.45%) and then Actinobacteria (1.4-5.9%) consistent with other mammals. Phylum Proteobacteria had an initial abundance of 1.8% in the 2-month-old pups, but < 1% of bacterial numbers for the other fur seal age groups. Significant differences did occur in the abundance of Clostridia, Lactobacilli and Bifidobacteria between 2 months pups and 9 months pups and adult fur seals. Results from the 16S rRNA gene pyrosequencing supported the FISH data and identified significant differences in the composition of Firmicutes, Bacteroidetes, Actinobacteria, Proteobacteria, Verrucomicrobia and Fusobacteria at all ages. Class Clostridia in phylum Firmicutes dominates the microbiota of the 2 months and 9 months seal pups, whilst class Bacilli dominates the 6 months pups. In addition, a high level of dissimilarity was observed between all age classes. This study provides novel insight into the gut microbiota of Australian fur seals at different age classes.

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Across an individual's life, foraging decisions will be affected by multiple intrinsic and extrinsic drivers that act at differing timescales. This study aimed to assess how female Australian fur seals allocated foraging effort and the behavioural changes used to achieve this at three temporal scales: within a day, across a foraging trip and across the final six months of the lactation period. Foraging effort peaked during daylight hours (57% of time diving) with lulls in activity just prior to and after daylight. Dive duration reduced across the day (196 s to 168 s) but this was compensated for by an increase in the vertical travel rate (1500–1600 m•h−1) and a reduction in postdive duration (111–90 s). This suggests physiological constraints (digestive costs) or prey availability may be limiting mean dive durations as a day progresses. During short trips (<2.9 d), effort remained steady at 55% of time diving, whereas, on long trips (>2.9 d) effort increased up to 2–3 d and then decreased. Dive duration decreased at the same rate in short and long trips, respectively, before stabilising (long trips) between 4–5 d. Suggesting that the same processes (digestive costs or prey availability) working at the daily scale may also be present across a trip. Across the lactation period, foraging effort, dive duration and vertical travel rate increased until August, before beginning to decrease. This suggests that as the nutritional demands of the suckling pup and developing foetus increase, female effort increases to accommodate this, providing insight into the potential constraints of maternal investment in this species

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This study investigated prey captures in free-ranging adult female Australian fur seals (Arctocephalus pusillus doriferus) using head-mounted 3-axis accelerometers and animal-borne video cameras. Acceleration data was used to identify individual attempted prey captures (APC), and video data were used to independently verify APC and prey types. Results demonstrated that head-mounted accelerometers could detect individual APC but were unable to distinguish among prey types (fish, cephalopod, stingray) or between successful captures and unsuccessful capture attempts. Mean detection rate (true positive rate) on individual animals in the testing subset ranged from 67-100%, and mean detection on the testing subset averaged across 4 animals ranged from 82-97%. Mean False positive (FP) rate ranged from 15-67% individually in the testing subset, and 26-59% averaged across 4 animals. Surge and sway had significantly greater detection rates, but also conversely greater FP rates compared to heave. Video data also indicated that some head movements recorded by the accelerometers were unrelated to APC and that a peak in acceleration variance did not always equate to an individual prey item. The results of the present study indicate that head-mounted accelerometers provide a complementary tool for investigating foraging behaviour in pinnipeds, but that detection and FP correction factors need to be applied for reliable field application.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Em fevereiro e outubro de 1998, na área experimental da Fazenda de Ensino e Pesquisa da UNESP no município de Selvíria-MS (latitude 20° 22' S, longitude 51° 22' W, altitude 335 m), foi constatada a presença de mosca branca em mamoeiro cultivar Baixinho de Santa Amália, plantado no interior de um telado com malha de 2 x 2 mm. Essa área fazia parte de um experimento visando determinar o efeito do cultivo em ambiente protegido sobre o desenvolvimento das plantas, a produção de frutos e a ocorrência do mosaico do mamoeiro. Nas duas ocasiões os insetos foram enviados ao Centro de Recursos Genéticos e Biotecnologia (CENARGEN) da Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) para identificação. Na primeira infestação o material foi identificado como Trialeurodes sp. e na infestação de outubro como Bemisia tabaci biótipo B . Nos dois casos havia grande quantidade de ninfas nas folhas maduras e de adultos nas folhas novas. Para Trialeurodes sp. foi realizada uma contagem de ninfas em dezoito folhas, em cinco áreas de 1 cm² por folha, distribuídas ao acaso, encontrando-se a média de 7,6 ninfas por cm². Como conseqüência da presença das duas espécies, o único dano observado foi um intenso desenvolvimento de fumagina recobrindo completamente a superfície das folhas, que acabaram por secar e cair. A infestação de B. tabaci biótipo B foi controlada pela presença de larvas e adultos do coccinelídeo Delphastus pusillus (LeConte) que alimentavam-se vorazmente das ninfas presentes.

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Robben sind amphibische marine Säugetiere. Das bedeutet, dass sie zweirnunterschiedliche Lebensräume, Wasser und Land, bewohnen. Ihre sensorischen Systeme müssen auf beide Medien abgestimmt sein. Gerade für das Sehvermögen ist es eine große Herausforderung, sich den zwei optisch unterschiedlichen Medien anzupassen. Deshalb sind Forscher an dem Sehen von marinen Säugern seit dem zwanzigsten Jahrhundert so sehr interessiert. rnBis heute wird kontrovers diskutiert, ob marine Säugetiere Farbe sehen können, da sie durch einen Gendefekt nur einen Zapfentyp besitzen und somit zu den Zapfen-Monochromaten gehören. Dressurexperimente zeigten jedoch, dass Seebären und Seelöwen in der Lage sind grüne und blaue Testfelder von Graustufen zu unterscheiden (Busch & Dücker, 1987; Griebel & Schmid, 1992).rnUm auszuschließen, dass die Tiere ein Farbensehen über die Unterscheidung von Helligkeit vortäuschen, wurde in der vorliegenden Arbeit zunächst die Kontrasterkennung untersucht und danach Tests auf Farbensehen durchgeführt. Als Versuchstiere dienten zwei Seehunde (Phoca vitulina) und zwei Südafrikanische Seebären (Arctocephalus pusillus). Alle Versuche wurden unter freien Himmel im Zoo Frankfurt durchgeführt. Den Tieren wurden immer drei Testfelder zur Auswahl geboten: zwei waren gleich und zeigten ein homogenen Hintergrund, das dritte zeigte ein Dreieck auf demselben Hintergrund. Die Tiere wurden auf das Dreieck dressiert. In den Versuchen zum Helligkeitskontrast wurden graue Dreiecke auf grauem Hintergrund verwendet. Das Dreieck wurde nicht erkannt bei einem Luminanz-Kontrast (K= LD/(LD+LH)) zwischen 0,03 und -0,12.rnBeim Test auf Farbensehen wurden die Farben Blau, Grün, Gelb und Orange auf grauem Hintergrund verwendet. Die Testreihen zeigten, dass jedes Tier auch in Bereichen von geringem Helligkeitskontrast hohe Wahlhäufigkeiten auf das farbige Dreieck erzielte und somit eindeutig die Farben Blau, Grün und Gelb sehen konnte. Lediglich bei der Farbe Orange kann keine Aussage zum Farbensehen getroffen werden, da das farbige Dreieck immer dunkler war als der Hintergrund. rnZusammenfassend konnte in dieser Arbeit gezeigt werden, dass Seehunde und Seebären in der Lage sind Farbe zu sehen. Vermutlich beruht diese Fähigkeit auf der Interaktion von Stäbchen und Zapfen. rn

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Gli squali bianchi sono tra i più importanti predatori dei Pinnipedi (Klimley et al., 2001; Kock, 2002). La loro principale strategia di caccia consiste nel pattugliare le acque circostanti ad una colonia di otarie e nell’attaccarle quando queste sono in movimento, mentre si allontanano o avvicinano all’isola (Klimley et al., 2001; Kock, 2002). Tuttavia, la strategia e la dinamica della predazione osservate anche in relazione al ciclo riproduttivo della preda e le tattiche comportamentali messe in atto dalla preda per ridurre la probabilità di predazione, e quindi diminuire la sua mortalità, sono ancora poco conosciute. Con questo studio, effettuato nell’area di Seal Island all’interno della baia di Mossel Bay in Sud Africa, abbiamo cercato di definire proprio questi punti ancora poco conosciuti. Per studiare la strategia e le dinamica di predazione dello squalo bianco abbiamo utilizzato il sistema di monitoraggio acustico, in modo da poter approfondire le conoscenze sui loro movimenti e quindi sulle loro abitudini. Per dare un maggiore supporto ai dati ottenuti con la telemetria acustica abbiamo effettuato anche un monitoraggio visivo attraverso l’attrazione (chumming) e l’identificazione fotografica degli squali bianchi. Per comprendere invece i loro movimenti e le tattiche comportamentali messi in atto dalle otarie orsine del capo per ridurre la probabilità di predazione nella baia di Mossel Bay, abbiamo utilizzato il monitoraggio visivo di 24 ore, effettuato almeno una volta al mese, dalla barca nell’area di Seal Island. Anche se gli squali bianchi sono sempre presenti intorno all’isola i dati ottenuti suggeriscono che la maggior presenza di squali/h si verifica da Maggio a Settembre che coincide con l’ultima fase di svezzamento dei cuccioli delle otarie del capo, cioè quando questi iniziano a foraggiare lontano dall'isola per la prima volta; durante il sunrise (alba) durante il sunset (tramonto) quando il livello di luce ambientale è bassa e soprattutto quando la presenza delle prede in acqua è maggiore. Quindi possiamo affermare che gli squali bianchi a Seal Island prendono delle decisioni che vanno ad ottimizzare la loro probabilità di catturare una preda. I risultati preliminari del nostro studio indicano anche che il numero di gruppi di otarie in partenza dall'isola di notte sono di gran lunga maggiori di quelle che partono durante il giorno, forse questo potrebbe riflettere una diminuzione del rischio di predazione; per beneficiare di una vigilanza condivisa, le otarie tendono in media a formare gruppi di 3-5 o 6-9 individui quando si allontanano dall’isola e questo probabilmente le rende meno vulnerabili e più attente dall’essere predate. Successivamente ritornano all’isola da sole o in piccoli gruppi di 2 o 3 individui. I gruppi più piccoli probabilmente riflettono la difficoltà delle singole otarie a riunirsi in gruppi coordinati all'interno della baia.

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"Contributions from the laboratory of the Marine biological association of San Diego, XIX."

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Dive characteristics and dive shape are often used to infer foraging success in pinnipeds. However, these inferences have not been directly validated in the field with video, and it remains unclear if this method can be applied to benthic foraging animals. This study assessed the ability of dive characteristics from time-depth recorders (TDR) to predict attempted prey capture events (APC) that were directly observed on animal-borne video in Australian fur seals (Arctocephalus pusillus doriferus, n=11). The most parsimonious model predicting the probability of a dive with ≥1 APC on video included only descent rate as a predictor variable. The majority (94%) of the 389 total APC were successful, and the majority of the dives (68%) contained at least one successful APC. The best model predicting these successful dives included descent rate as a predictor. Comparisons of the TDR model predictions to video yielded a maximum accuracy of 77.5% in classifying dives as either APC or non-APC or 77.1% in classifying dives as successful verses unsuccessful. Foraging intensity, measured as either total APC per dive or total successful APC per dive, was best predicted by bottom duration and ascent rate. The accuracy in predicting total APC per dive varied based on the number of APC per dive with maximum accuracy occurring at 1 APC for both total (54%) and only successful APC (52%). Results from this study linking verified foraging dives to dive characteristics potentially opens the door to decades of historical TDR datasets across several otariid species.

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Etmoplerus spinax and Etmopterus pusillus are captured in large quantities in some deep-water fisheries along the Portuguesc coast and are always discarded. Specimens were collected from February 2003 to May 2004 from deep-water fisheries and classified as mature or immature. Maturity ogives were fitted and size at first maturity estimated for each sex of each of each species. Both species are late maturing, with the maturity size varying between 75% and 87% of the maximum observed sizes, depending on species and sex. For both species, females tended to mature at and grow to larger sizes than males. The late maturation of these deep-water shark species make these populations extremely vulnerable to increasing fishing mortality.