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1.
Asplanchna sylvestrii does not discriminate between groups of Brachionus calyciflorus fed either the cyanobacterium Anabaena flos-aquae or a control diet of Euglena gracilis. We based our analysis on the observed probabilities of attack, capture and ingestion during encounters between predator and prey. While A. sylvestrii was very sensitive to brachionid size, we found no significant affects of prey diet on predatory behavior. Thus, cyanobacterial diet did not influence the short-term predation risk of B. calyciflorus exposed to an effective predator. On the other hand, matched cohorts of A. sylvestrii fed B. calyciflorus cultured on the cyanobacterium reproduced more slowly than those fed the same prey cultured on the control food. With prolonged sympatry, therefore, the long-term risk of Asplanchna predation may be reduced for Brachionus by the latter's consumption of cyanobacteria.  相似文献   
2.
Clearance rates of sessile rotifers: in vitro determinations   总被引:1,自引:1,他引:0  
We measured laboratory clearance rates of 10 rotifer and one unidentified bryozoan species from 3 different lakes using 32P labeled algae (Chlamydomonas) or yeast (Rhodotorula). Clearance rates for all rotifers fed yeast ranged from < 2.0 to > 260 µl · animal–1 · h–1 depending on species. The in vitro clearance rates of two sessile rotifers (Ptygura crystallina and P. pilula) were not significantly different from previously measured in situ rates (Wallace and Starkweather 1983). Clearance rates for 5 rotifers fed algae ranged from < 5.0 to > 90.0 µl · animal–1 · h–1. Ptygura beauchampi, P. crystallina, P. pilula, Floscularia conifera, and F. melicerta ingested both cell types but their clearance rates varied substantially among species and between cell types. There was a substantial time-dependent loss of 32P from formalin-fixed animals (Sinantherina socialis) awaiting processing. This loss stabilized at approximately 20 hours and was estimated to be about 40% of the initial ingested label. Clearance rates for the bryozoan fed yeast or algae were highly variable, ranging from < 1.0 to > 3 000 µl · animal–1 · h–1.  相似文献   
3.
Clearance rates of three sessile and four free-swimming rotifer species from a small acid bog-pond were measured using in situ techniques. Three radioactively labeled cell types, an alga (Chlamydomonas), a bacterium (Enterobacter = Aerobacter), and a yeast (Rhodotorula) were used as tracers. Clearance rates (using yeast) ranged from <1.0 to >250 µl · animal?1 · h?1 depending on species. Ptygura crystallina, Ptygura pilula, Floscularia conifera, and an unidentified bdelloid ingested all three foods with substantial variation in clearance rates among species and cell type. There was an insignificant error (<0.3%) in clearance rate associated with non-ingestive uptake of radioactivity. Among the free-swimming taxa, Lecane sp. had a clearance rate of <0.5 µl · animal?1 · h?1 on yeast, while another Lecane sp. and Trichotria tetractis did not ingest that cell type.  相似文献   
4.
Summary The rotifer Brachionus calyciflorus is capable of collecting and ingesting cells or short chains of a laboratory-grown bacterium Aerobacter aerogenes. Clearance rate, the volume of water effectively processed animal -1h-1, does not vary systematically with bacterial density between 0.01 and 100 g dry weight ml-1. Consequently, ingestion rates are strongly density-dependent, reaching maximal values at the highest food densities tested. Bacterial feeding rates are consistently lower than those determined with larger food types, except in very dense cell suspensions. A. aerogenes in high concentration (100 g ml-1) induces Brachionus to orient their pseudotrochal cirri to form screens over the buccal funnel; this behavior is at least four times less frequently observed at low (10 g ml-1) food density. Despite its occurrence, pseudotrochal screening appears ineffective in regulating bacterial ingestion rate. B. calyciflorus can be cultured xenically for greater than 40 generations fed A. aerogenes alone, with no diminution in net reproductive rate or intrinsic rate of natural increase, and no lengthening in cohort generation time.  相似文献   
5.
We have identified a sample of 53 societies outside of the classical Himalayan and Marquesean area that permit polyandrous unions. Our goal is to broadly describe the demographic, social, marital, and economic characteristics of these societies and to evaluate some hypotheses of the causes of polyandry. We demonstrate that although polyandry is rare it is not as rare as commonly believed, is found worldwide, and is most common in egalitarian societies. We also argue that polyandry likely existed during early human history and should be examined from an evolutionary perspective. Our analysis reveals that it may be a predictable response to a high operational sex ratio favoring males and may also be a response to high rates of male mortality and, possibly, male absenteeism. Other factors may contribute, but our within-polyandry sample limits analysis.  相似文献   
6.
Starkweather  Peter L. 《Hydrobiologia》1995,313(1):191-195
Brachionus calyciflorus is able to differentially capture or deflect potential food cells depending on the overall density (numbers µl–1) and size of suspended particles the rotifer encounters while feeding. This has been shown to correlate with behavioral regulation of pseudotrochal structures, and primarily by large medial tufts of compound cilia (cirri). When pseudotrochal cirri are extended laterally, inferred fluid flow pathlines show that only cells in the central 25 µm of the coronal disk are subject to ingestion. When pseudotrochal cirri form medially-oriented screens, fluid flow is directed away from the pseudotrochas and central corona, an effect apparent up to 70 µm in front of a restrained animal. Fluid flow in all areas of the B. calyciflorus corona is at very low Reynolds Number (Re), with calculated values always less than 10–1. Accordingly, removal of cells from feeding currents probably is not due to sieving but is more likely due to direct interception of particles by individual ciliary elements. Certain large cells — such as Euglena gracilis — are retained in the inner pseudotrochal space for up to 500 msec, ample time for B. calyciflorus to assess the physical and chemical characteristics of this or other potential foods.  相似文献   
7.
The development of the neonatal gut microbiome is influenced by multiple factors, such as delivery mode, feeding, medication use, hospital environment, early life stress, and genetics. The dysbiosis of gut microbiota persists during infancy, especially in high-risk preterm infants who experience lengthy stays in the Neonatal intensive care unit (NICU). Infant microbiome evolutionary trajectory is essentially parallel with the host (infant) neurodevelopmental process and growth. The role of the gut microbiome, the brain-gut signaling system, and its interaction with the host genetics have been shown to be related to both short and long term infant health and bio-behavioral development. The investigation of potential dysbiosis patterns in early childhood is still lacking and few studies have addressed this host-microbiome co-developmental process. Further research spanning a variety of fields of study is needed to focus on the mechanisms of brain-gut-microbiota signaling system and the dynamic host-microbial interaction in the regulation of health, stress and development in human newborns.  相似文献   
8.
In situ clearance rates of planktonic rotifers   总被引:6,自引:6,他引:0  
The in situ clearance rates of several rotifer species from a small, temperate eutrophic lake were measured using three radioactive tracer cell-types, a bacterium (Aerobacter), a yeast (Rhodoto-rula), and alga (Chlamydomonas). Rates were below 10 µl/anim/h but varied significantly among species. Keratella cochlearis, Kellicottia bostoniensis, and Conochilus dossuarius ingested all three tracer cells but rates varied substantially with tracer cell-type. Polyarthra dolichoptera and P. euryptera ingested only the algal cells. Co-occurring forms of K. cochlearis and species of Polyarthra differed markedly in size and in tracer cell utilization, indicating niche diversification in food resources.  相似文献   
9.
10.
Often referred to as the silent killer, ovarian cancer is the most lethal gynecologic malignancy. This disease rarely shows any physical symptoms until late stages and no known biomarkers are available for early detection. Because ovarian cancer is rarely detected early, the physiology behind the initiation, progression, treatment, and prevention of this disease remains largely unclear. Over the past 2 decades, the laying hen has emerged as a model that naturally develops epithelial ovarian cancer that is both pathologically and histologically similar to that of the human form of the disease. Different molecular signatures found in human ovarian cancer have also been identified in chicken ovarian cancer including increased CA125 and elevated E-cadherin expression, among others. Chemoprevention studies conducted in this model have shown that decreased ovulation and inflammation are associated with decreased incidence of ovarian cancer development. The purpose of this article is to review the major studies performed in laying hen model of ovarian cancer and discuss how these studies shape our current understanding of the pathophysiology, prevention and treatment of epithelial ovarian cancer.

Ovarian cancer is the leading cause of death among female gynecologic malignancies, with a 47% 5 y relative survival rate.154 Early detection of the disease is necessary for decreasing the high mortality rate. However, early detection is difficult due to the lack of known specific biomarkers and clinically detectable symptoms until the tumor reaches at an advanced stage. The disease has multiple subtypes. Epithelial ovarian cancer (EOC) is the most common type of ovarian cancer, accounting for about 90% of all reported cases.127,164 EOC is commonly subdivided into 5 histotypes: high-grade serous (HGSOC), low-grade serous, mucinous, endometroid (EC), and clear cell. The histotypes differ in terms of tumor cell morphology, severity, systemic effect, and response to treatment. Among the different subtypes, HGSOC accounts for about 70% of cases of EOC observed in women. HGSOC has a higher mitotic index and is a more aggressive form of cancer with a worse prognosis. HGSOC and low-grade serous histotypes exhibit distinctly different presentations of the disease82,166 and demand different treatment modalities. EC (10% to 20%), mucinous (5% to 20%), and clear cell (3% to 10%) histotypes are less common forms of the disease. The subtypes of EOC also differ in terms of 5 y survival rates of patients; that is, HGSOC (20% to 35%), EC (40% to 63%), mucinous (40% to 69%), and clear cell (35% to 50%).20,76,148Developing a representative animal model for EOC has been challenging due to the histologic and pathologic differences among different subtypes of EOC. While developing a reliable animal model is challenging due to the vast complexity and limited understanding of the origin of the disease, laying hens naturally develop EOC that is histopathologically very similar to the human form of the disease (Figure 1).15 All the different human ovarian cancer histotypes have been observed in laying hen ovarian cancer (Figure 2). In addition, the presentation of the disease in chickens is remarkably similar to the human form of the disease, with early-stage ovarian cancer in laying hens having similar precursor lesions as occur in women.15 The laying hen develops ovarian cancer spontaneously, allowing analysis of early events and investigation into the natural course of the disease, as tumors can be examined as they progress from normal to late-stage ovarian carcinoma. The gross appearance of these stages is shown in Figure 3.Open in a separate windowFigure 1.Gross pathologic presentation of chicken compared with human ovarian cancer. The remarkably similar presentation in hens (A,B) and women (C,D) at the gross anatomic level with profuse abdominal ascites and peritoneal dissemination of metastasis. A) Ascites in abdominal cavity chicken with advanced ovarian cancer (photo credit: DB Hales); (B) Chicken ovarian cancer with extensive peritoneal dissemination of metastasis (photo credit: DB Hales); (C) Distended abdomen from ascites fluid accumulation in woman with ovarian cancer (http://www.pathguy.com/bryanlee/ovca.html) (D) Human ovarian cancer with extensive peritoneal dissemination of metastasis (http://www.pathguy.com/bryanlee/ovca.html).Open in a separate windowFigure 2.Gross anatomic appearance of different stages of ovarian cancer in the chicken The progression from the normal hen ovary to late-stage metastatic ovarian cancer. (A) Normal chicken ovary showing hierarchal clutch of developing follicles and postovulatory follicle; (B) Stage 1 ovarian cancer, confined to ovary with vascularized follicles; (C) Stage 2/3 ovarian cancer, metastasis locally to peritoneal cavity with ascites; (D) Stage 4 ovarian cancer, late stage with metastasis to lung and liver with extensive ascites (photo credits: DB Hales).Open in a separate windowFigure 3.Histologic subtypes in chicken compared with human ovarian cancers. H and E staining of formalin fixed paraffin embedded tissues from hens with ovarian cancer (A through D) and women (E through G). (A) Chicken clear cell carcinoma; (B) Chicken endometrioid carcinoma; (C) Chicken mucinous adenocarcinoma; (D) Chicken serous papillary adenocarcinoma (photo credits: DB Hales). (E) Human clear cell carcinoma; (F) Human endometrioid carcinoma; (G) Human mucinous cystadenocarcinoma; (H) Human serous adenocarcinoma (https://www.womenshealthsection.com).Over the past 2 decades, the laying hen has emerged as a valuable experimental model for EOC, in addition to other in vivo models such as Patient-Derived Xenografts (PDX) and Genetically Engineered Mouse Models (GEMMs). Comparison of the hen model with other animal models has been reviewed elsewhere.72 Modern-day laying hens, such as the white leghorn, have been selected from their ancestor red jungle fowl57 for decreased broodiness and persistent ovulation, resulting in approximately one egg per day, if proper nutrition and light-dark cycles are maintained. Daily rupture and consequent repair of the ovarian surface epithelia (OSE) due to the persistent ovulation promotes potential error during rapid DNA replication. This increases the probability of oncogenic mutations, ultimately leading to neoplasia.137 Inflammation resulting from continuous ovulation also promotes the natural development of EOC.81 By the age of 2.5 to 3 y, laying hens have undergone a similar number of ovulations as a perimenopausal woman. The risk of ovarian cancer in white leghorn hens in this time (4%) is similar to the lifetime risk of ovarian cancer in women (0.35% to 8.8%).125 By the age of 4 to 6 y, the risk of ovarian cancer in hens rises to 30% to 60%.54 The incidence of ovarian carcinoma in the hens, however, depends on the age, genetic strain,80 and the egg-laying frequency of the specific breed.54 The common white leghorn hen has routinely been employed in chicken ovarian cancer studies. On average, hens are exposed to 17 h of light per day, with lights turned on at 0500 h and turned off at 2200 h. The laying hen model of EOC does present some considerable challenges. Despite its great utility for research, the model is still used mainly by agricultural poultry scientists and a small number of ovarian cancer researchers.Comprehensive and proper vivarium support is required to conduct large-scale cancer prevention studies. Only a few facilities are available for biomedical chicken research, including University of Illinois Urbana-Champaign, Cornell University, Penn State University, NC State, Auburn University, and MS State University. Another difficulty is a lack of available antibodies specific for chicken antigens. Because of the structural dissimilarities between most human proteins and murine antigens to their chicken counterparts, cross-reactivity of available antibodies is also limited. The entire chicken genome was sequenced in 2004;78 however, the chromosomal locus of many key genes, such as p53, are still unknown. Overall, humans and chickens share about 60% of genetic commonality, whereas humans and rats share about 88% of their genes. Specific pathway-mutated strains of chickens are not yet available, limiting the ability to study key pathways in carcinogenesis and prevention of cancer using this model. Although all 5 different subtypes of ovarian cancer are present in hens, their most predominant subtype is different from women. Close to 70% of women diagnosed with ovarian cancer have serous EOC, while the predominant subtype reported in hens is endometrioid.15 However, these comparisons are complicated because observations of cancer in hens consist of both early and late stages of the disease, wherein women, most of the data is from late stage and aggressive ovarian carcinoma.The spontaneous onset of ovarian cancer and the histologic and pathologic similarities to the human form of the disease make laying hens an excellent model for continued research on EOC. To date, a large number of studies have been performed on laying hens. Here we have divided the current studies into 2 groups— (A) studies that have described the molecular presentation of EOC to be similar to that in women; (
AuthorYearSignificanceKey molecular targetsCitation
Haritani and colleagues.1984Investigating ovarian tumors for key gene signaturesOvalbumin 71
Rodriguez-Burford and colleagues.2001Investigating expressions of clinically important prognostic markers in cancerous hensCA125, cytokeratin AE1/AE3, pan cytokeratin, Lewis Y, CEA, Tag 72, PCNA, EGFR, erbB-2, p27, TGF{α}, Ki-67, MUC1, and MUC2 135
Giles and colleagues.2004, 2006Investigating ovarian tumors for key gene signaturesOvalbumin, PR, PCNA, Vimentin62, 63
Jackson and colleagues.2007CA125 expression in hen ovarian tumorsCA125 79
Stammer and colleagues.2008SELENBP1 downregulation in hen ovarian tumorsSELENBP1 149
Hales and colleagues.2008Cyclooxygenase expressions in hen ovarian tumorsCOX1, COX2, PGE2 67
Urick and colleagues.2008-2009VEGF expression in cultured ascites cells from hen ovarian tumorsVEGF160, 161
Ansenberger and colleagues.2009Elevation of E-cadherin in hen ovarian tumorsE-cad 6
Hakim and colleagues.2009Investigating oncogenic mutations in hen ovarian tumorsp53, K-ras, H-ras 66
Zhuge and colleagues.2009CYP1B1 levels in chicken ovarian tumorsCYP1B1 175
Seo and colleagues.2010Upregulation of Claudin-10 in hen ovarian tumorsClaudin-10 145
Trevino and colleagues.2010Investigating ovarian tumors for key gene signaturesOvalbumin, Pax2, SerpinB3, OVM, LTF, RD 157
Choi and colleagues.2011Upregulation of MMP-3 in hen ovarian tumor stromaMMP-3 28
Barua and colleagues.2012Upregulation of DR6 in hen ovarian tumorsDR6 16
Lee and colleagues.2012-2014Upregulation of DNA methylation in hen ovarian tumorsDNMT1, DNMT3A, DNMT3B,
SPP1, SERPINB11, SERPINB13
94, 101, 103, 104
Lim and colleagues.2013-2014Key genes upregulated in endometrioid hen tumorsAvBD-11, CTNNB1, Wnt4102, 11, 100
Bradaric and colleagues.2013Investigating immune cells in hen ovarian tumors 23
Ma and colleagues.2014Identifying unique proteins from proteomic profilingF2 thrombin, ITIH2 106
Hales and colleagues.2014Key genes upregulated in hen ovarian tumorsPAX2, MSX2, FOXA2, EN1 68
Parada and colleagues,2017Unique ganglioside expressed in hen ovarian tumorsNeuGcGM3 124
Open in a separate windowTable 2.Ovarian cancer prevention studies using laying hen model
AuthorYearSignificanceCitation
Barnes and colleagues.2002Medroxyprogesterone study 14
Johnson and colleagues.2006Different genetic strain of laying hens (C strain and K strain) 80
Urick and colleagues.2009Dietary aspirin in laying hens 161
Giles and colleagues.2010Restricted Ovulator strain 61
Carver and colleagues.2011Calorie-restricted hens 25
Eilati and colleagues.2012-2013Dietary flaxseed in laying hens43, 44, 45
Trevino and colleagues.2012Oral contraceptives in laying hens 156
Rodriguez and colleagues.2013Calorie-restricted hens with or without Vitamin D and progestin 136
Mocka and colleagues.2017p53 stabilizer CP-31398 in laying hens 112
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