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Hares

Hares are small to medium-sized leporid mammals, closely related to rabbits.
They are typically found in open habitats such as grasslands and tundra.
Hares are characterized by their long hind legs, large ears, and a distinctive white or brown coat that changes with the seasons for camouflage.
They are known for their remarkable speed and agility, which helps them evade predators.
Hares are herbivores, feeding on a variety of grasses, herbs, and woody plants.
They play an important role in their ecosystems as prey for many carnivorous animals.
Reserarch on hares can provide insights into their biology, behavior, and ecology, contributing to our understanding of these fascinating lagomorph speciees.

Most cited protocols related to «Hares»

1
Social Cognition in Autism, Schizophrenia, and Psychopathy
Thirty-two adult males with an ASD were recruited via local mental health organizations (mainly through the specialized Autism Team North Netherlands of Lentis, Groningen, the Netherlands), and through mailing lists for high-functioning individuals with ASD. Six individuals with ASD were recruited from a local forensic clinic (FPC Dr. S. van Mesdag, Groningen, the Netherlands). The participants were considered to be high-functioning by their clinicians and none had an IQ score below 70. All participants were diagnosed with an ASD by a clinical psychologist or psychiatrist according to DSM-IV-TR criteria (n = 8 AD, n = 17 AS, n = 13 PDD-NOS), based on review of developmental history, current daily functioning, and observation. For this study, the ASD group will be investigated as one diagnostic entity along a continuous dimension of severity for two reasons. First, it is proposed for the near future that distinctions will no longer be made among different types of autism in clinical practice, because they have proven to be “inconsistent over time and place, and to be associated more with severity, language level, and intelligence than specific features” (www.dsm5.org). Individuals with autism and PDD-NOS have also shown qualitatively similar behavioral patterns on the ADOS with varying degrees of severity (Lord et al. 2000 (link)). Second, investigating the subtypes would lead to overly small subgroups.
Eighteen adult males with schizophrenia and predominantly negative symptomatology, mainly outpatients, were selected by a specialized local mental health organization (Psychosencluster, GGZ Drenthe, Assen, the Netherlands). Diagnosis was confirmed by a structured clinical interview, the Dutch version of the Schedules of Clinical Assessment in Neuropsychiatry developed by the WHO (SCAN 2.1, Giel and Nienhuis 1996 ). Current symptomatology was assessed by the Positive and Negative Syndrome Scale (PANNS, Kay et al. 1987 (link)).
The psychopathy group consisted of 16 males recruited from two forensic psychiatric clinics (FPC Dr. S. van Mesdag and FPC Veldzicht). As part of the standard clinical procedure, these individuals were assessed with the Psychopathy Checklist Revised (PCL-R), an instrument widely used for the diagnosis of psychopathy (e.g. Hare 1991 ). Two diagnosticians obtained consensus on this instrument after separately scoring the items using file information extended with, if necessary, a semi-structured interview.
The typically developing group consisted of 21 typically developing males, who were interviewed to verify that first-degree relatives did not have an ASD or a history of psychosis. Age and IQ was matched with the participants with ASD who also took part in the neuroimaging part of the study (n = 21). There are no significant differences between the groups in terms of age and IQ. For an overview of the group characteristics see Table 1.

Group characteristics

NMeanStdevRange
ASD
 Age3831.8211.2418–66
 IQ29101.1414.6773–133
Schizophrenia
 Age1837.0010.7319–61
 IQ1889.1713.8968–112
Psychopathy
 Age1639.0010.6723–60
 IQ1592.7316.1063–117
Controls
 Age2134.249.1421–53
 IQ2197.1916.3773–128

IQ scores were based on the Groninger Intelligence Test 2 (GIT2, Luteijn and Barelds 2004 ), except for four individuals with ASD who were administered the Wechsler Adult Intelligence Scale (WAIS, Wechsler 1997 ) and nine individuals with ASD for whom IQ scores were not obtained (they only took part in the ADOS part of the research project). For these cases, IQ was estimated to be in the normal range based on former IQ tests and clinical impression/daily functioning. GIT 2 scores for one individual with psychopathy were deemed unreliable and discarded

Bastiaansen J.A., Meffert H., Hein S., Huizinga P., Ketelaars C., Pijnenborg M., Bartels A., Minderaa R., Keysers C, & de Bildt A. (2010). Diagnosing Autism Spectrum Disorders in Adults: the Use of Autism Diagnostic Observation Schedule (ADOS) Module 4. Journal of Autism and Developmental Disorders, 41(9), 1256-1266.
Publication 2010
Adult Antisocial Personality Disorder Autistic Disorder beta-apocarotenoid-14',13'-dioxygenase Diagnosis GIT2 protein, human Hares Intelligence Tests Males Mental Health Outpatients Psychiatrist Psychologist Psychotic Disorders Radionuclide Imaging Schizophrenia Syndrome Wechsler Scales
2
Assessing Psychopathy in Bulgarian Populations
The PCL:SV is a 12-item scale based on the PCL-R, rated by trained observers following a semi-structured interview of the participant. PCL:SV items are scored on a three point scale (0 = absent; 1 = somewhat present; 2 = definitely present) and summed to provide total scores ranging from 0 to 24 points, with a total score > 18 considered indicative of psychopathy in North Americans. The PCL:SV is divided into two factors: the six items from Factor 1 assess a manipulative interpersonal style and deficient affective experience, while the six items from Factor 2 measure an unstable lifestyle and antisocial behavior.
Psychopathy ratings were based on standardized PCL:SV clinical interviews translated into Bulgarian. Assessments with the PCL:SV were conducted by a trained team of research assistants and clinicians at the Bulgarian Addictions Institute. Initial training in psychopathy assessment was provided by JV, who created the authorized version of the Bulgarian PCL-R with its publisher Multi-Health Systems. Training and supervision was further provided by GV, who had participated in formal training workshops led by Dr. Robert Hare. The two trainers have substantial experience with the use of the PCL-R and PCL:SV and with the construct of psychopathy. Training consisted of didactic sessions, case examples, and discussions. Initial ratings of study participants were conducted by pairs of team members, followed by a discussion of item scoring and total scores. Difficult or unusual assessments and instances of discordant ratings between pair members were discussed with supervisors during weekly team meetings.
Wilson M.J., Abramowitz C., Vasilev G., Bozgunov K, & Vassileva J. (2014). Psychopathy in Bulgaria: The cross-cultural generalizability of the Hare Psychopathy Checklist. Journal of psychopathology and behavioral assessment, 36(3), 389-400.
Publication 2014
Addictive Behavior Antisocial Personality Disorder Behavior, Antisocial Fibrinogen Hares North American People Supervision Workshops
3
Spatial Distribution of COVID-19 Deaths
In this article, we examined the effects of social vulnerability and health risk factors on the spatial distribution of the COVID-19-related deaths. We obtained the COVID-19 mortality data from the Cook County Medical Examiner’s Case Archive (Cook County Medical Examiner’s Office, n.d .). We then geocoded the incident location information using the ArcGIS, geographic information systems (GIS) software.
There are just over 800 census tracts in the City of Chicago, and census tracts are tied to 77 Chicago Community Areas (CCA), which are well-defined geographic boundaries. Initially 76 community areas were proposed by the Social Science Research Committee at the University of Chicago in the 1920s. O’Hare airport was added in the 1950s and in the 1980s, Edgewater was separated out from Uptown, making a total of 77 community areas (Seligman, n.d .; University of Chicago Library, n.d .). Racial/ethnic residential segregation by CCAs has been well documented (Burgess & Park, 1984 ; Margellos et al., 2004 (link); Orsi et al., 2010 (link); Sampson, 2012 (link)). Currently, 17 of 77 CCAs have over 90% of African American residents, which are located city’s south and west sides.
We created a social vulnerability index (SVI) using sociodemographic characteristics of the city’s 77 CCAs, to quantify the level of social vulnerability. We retrieved indicator variables from the U.S. Census American Community Survey (ACS) 5-year estimates between 2014 and 2018, including the percentage of poverty, the percentage of less than high school education, the percentage of female-headed households with children, median household income, and employment ratio (U.S. Census Bureau, n.d.-a ). We then performed principal component analysis (PCA) to derive a composite score for the SVI. While racial composition is often included in the SVIs, we examined the percentage of African Americans, the percentage of Whites, and the percentage of Latinx separately to estimate independent effects of race/ethnicity.
Health risk factor score was created using several comorbidities from the Chicago Health Atlas data at the CCA level (Chicago Health Atlas, n.d .). The health risk score included the rates of heart-related death, stroke deaths, asthma, hypertension, diabetes, obesity, and smoking (CDC COVID-19 Response Team, 2020 (link)). Similar to SVI, we performed PCA to create a risk score using the rates of these comorbidities.
We employed ArcGIS to conduct hotspot analysis at the CCA level to identify clusters of areas and compute bivariate local autocorrelations. Bivariate correlation (Moran’s I) ranges from −1 to 1, where 0 being no correlation, while +1 indicates perfect positive correlation and −1 suggests perfect negative correlation. Finally, to examine the total effects of SVI, risk score, and the percentage of African American residents, we ran a structural equation model that reflects our conceptual understanding of the relationships between race, social vulnerability, and health risks. We present the total effects of SVI, risk score, and the percentage of African Americans on COVID-related deaths.
Kim S.J, & Bostwick W. (2020). Social Vulnerability and Racial Inequality in COVID-19 Deaths in Chicago. Health Education & Behavior.
Publication 2020
African American Asthma Caucasoid Races cDNA Library Cerebrovascular Accident Child Congenital contractural arachnodactyly COVID 19 Diabetes Mellitus Ethnicity Hares Head of Household Heart High Blood Pressures Households Latinx Obesity Rate, Heart Woman
4
Psychopathy, Substance Use, and Violent Offenses
Psychopathy was assessed by trained research staff using the Psychopathy Checklist-Revised (PCL-R) (Hare, 2003 ). The PCL-R is a clinical measure of psychopathy, completed based on a 60-90 minute clinical interview and review of institutional files used to assess the presence of 20 psychopathy-related traits (Table 1), assigning a score of 0, 1, or 2 for each item. Inter-rater reliability ratings were available for 13 participants and yielded a high intra-class correlation (r = .99) for PCL-R total scores. Factor and facet scores were calculated according to published guidelines (Hare and Neumann, 2005 (link); Harpur et al., 1989 ). Scores for Factors 1 and 2 were moderately correlated (r = 0.66). Further, scores for related facets were moderately correlated (Interpersonal and Affective, r = 0.55; Lifestyle and Antisocial, r = 0.52). For categorical analyses participants were identified as psychopathic if they scored 30 or greater on the PCL-R (n = 50), non-psychopathic if they scored 20 or lower (n = 50), and intermediate if they scored between 20 and 30 (n = 47) (Hare, 2003 ).
Substance use disorder was assessed using the Structured Clinical Interview for DSM-IV (SCID) (First et al., 2012 ). To minimize the number of covariates used in statistical models, a composite variable was calculated for substance use; participants who met criteria for abuse or dependence on any substance (alcohol, cannabis, cocaine, opioids, stimulants, sedatives or hallucinogens) earned a substance use disorder score of “Present,” and all other participants were scored as “Absent.” IQ was estimated using the Wechsler Adult Intelligence Scale (WAIS) (Wechsler, 2008 ). Trait negative affect was assessed using the Welsh Anxiety Scale (WAS) (Welsh, 1956 ). Finally, the number of violent offenses for each participant was quantified as the count of charges for murder, assault, robbery, sexual assault, weapon-related offenses, and kidnapping.
Wolf R.C., Pujara M.S., Motzkin J.C., Newman J.P., Kiehl K.A., Decety J., Kosson D.S, & Koenigs M. (2015). Interpersonal traits of psychopathy linked to reduced integrity of the uncinate fasciculus. Human Brain Mapping, 36(10), 4202-4209.
Publication 2015
Adult Antisocial Personality Disorder Anxiety Cannabis Central Nervous System Stimulants Cocaine Drug Abuse Ethanol Hallucinogens Hares Opioids Sedatives Sexual Assault Substance Dependence Substance Use Substance Use Disorders Wechsler Scales
5
Evaluating Acetabular Dysplasia with CT Arthrography
Volunteers were recruited to match the age, weight, and body mass index (BMI) of patients with acetabular dysplasia commonly treated at our clinic. An institutional review board approved this study, and informed consent was received from 16 volunteers (7 female, 9 male) with no history of hip pain or disease.
One hip from each subject was selected randomly to receive a CT arthrogram. The hip capsule was injected with ~20 ml of a diluted contrast agent (2:1 lidocaine to OMNIPAQUE® 350, GE Healthcare Inc, Princeton, NJ) under fluoroscopic guidance. Multi-detector CT scans of the entire pelvis and both femurs were obtained within 10 mins of injection (120 kVp, 100–400 mAs, 512×512 matrix, 1.0 pitch, 300–400 mm FOV, 1.0 mm slice thickness) using a Siemens SOMATOM Definition CT Scanner. Joint traction was applied during the scan using a hare traction device to ensure that the contrast agent filled the joint space (Fig. 1a).
The CT images were read by a senior radiologist and an orthopaedic surgeon. The inclusion criteria required the hips to have a lateral center-edge angle between 25 and 40°,[21 (link),22 ] acetabular index angle (acetabular inclination or Tonnis angle) between 0 and 10°,[23 (link),24 ] qualitatively normal joint congruity, bone sphericity and cartilage morphology, and no signs of OA. CT images needed to show distribution of contrast sufficient to distinguish acetabular and femoral cartilage (Fig. 1a). Based on these criteria, 6 subjects were excluded. For the remaining 10 (5 female, 5 male), the lateral center-edge angle was 33.5±5.4° and acetabular index was 4.6±3.7°. Age, weight and BMI were 26±4 yrs, 70.0±13.9 kg and 23±3.8, respectively.
Harris M.D., Anderson A.E., Henak C.R., Ellis B.J., Peters C.L, & Weiss J.A. (2011). Finite Element Prediction of Cartilage Contact Stresses in Normal Human Hips. Journal of Orthopaedic Research, 30(7), 1133-1139.
Publication 2011
Acetabulum Arthrography Bones Capsule Cartilage CAT SCANNERS X RAY Coxa Ethics Committees, Research Femur Fluoroscopy Hares Hip Dysplasia Index, Body Mass Joints Lidocaine Males Medical Devices Omnipaque Orthopedic Surgeons Pain Patients Pelvis Radiologist Radionuclide Imaging Traction Voluntary Workers Woman

Most recents protocols related to «Hares»

1
Iberian Hare Population Trends Analysis
To study Iberian hare population trends, we calculated an index of yearly hare population instantaneous growth rate (PGR) using the hunting bag data (hare abundance index) from 1996 to 2020. Hare PGR was calculated as follows: PGR=lnAItAIt+1 where ln stands for natural logarithm, AIt is Iberian hare abundance index on year t. and AIt+1 is the Iberian hare abundance index on year t + 1. PGRs were estimated yearly from 1996 to 2019. This dependent variable was fitted to a Generalized Linear Mixed Model using the glmmTMB function (GLMMTMB, package glmmTMB21 (link)) and a gaussian family distribution and identity link function. The categorical variable vole outbreak year (i.e., with two levels: years with (1) or without vole outbreak (0), hereafter “Vole”) and “Province” (i.e., with three levels: Palencia, Valladolid and Zamora), and their interaction were used as explanatory variables. “Year” of sampling was included as a random factor (i.e., 1996–2019). Significance of the fixed effects in the models was calculated with Type II tests using the function Anova in the car package22 . We previously checked the model for overdispersion and distribution fitting using function simulateResiduals (package DHARMa23 , simulations = 999). The variable PGR expresses the change between year t and t + 1. We included AI at t as a covariate in the model, in order to take into account density-dependence in hare PGR (the extent to which the abundance changes in between year t and t + 1 depends on the abundance during year t). For this to make biological sense, we rescaled the covariable AI so that it has mean equal to zero. Thus, the effect of the other predictor variables in the model (i.e., “Vole” and “Province”) was interpreted as the effect that these variables have on PGR when the abundance value is at 0. Thus, the effect of “Vole” and “Province” on PGR will be obtained by the mean value of abundance.
We assessed the effect of vole outbreak years on the Iberian hare’s population PGR by running a multiple Pearson correlation (function ggscatter) between PGR and AI, considering both, PGR for all the years of the study period (i.e., 1996–2019) and only those years where vole outbreaks were detected (i.e., 1997, 1998, 2007, 2008, 2014, 2019).
Finally, we tested for difference in the prevalence of F.tularensis on Iberian hare’s during years with or without vole outbreaks using a GLMMTMB21 (link) with a binomial family distribution and a logit link function, where prevalence of F.tularensis in hares was the dependent variable, and “Vole” outbreak years and “Province” (i.e. Palencia, Valladolid and Zamora) were the responses variables. In this case, the variable “Vole” outbreak years included three levels (i.e. 0 = no vole outbreak, 1 = vole outbreak year, 2 = one year after vole outbreak), to assess if F.tularensis prevalence in hare also persist one year after a vole outbreak. “Year” of sampling was included as a random factor (i.e., 2007–2016). Due to the limited sample size, we did not include the interaction between “Vole” and “Province” to not overfit the model. We also previously checked the model for overdispersion and distribution fitting using function simulateResiduals (package DHARMa23 , simulations = 999). All analysis were carried out using the R statistical computing environment24 .
Rouco C., Luque-Larena J.J., Vidal D, & Mougeot F. (2023). Vole outbreaks may induce a tularemia disease pit that prevents Iberian hare population recovery in NW Spain. Scientific Reports, 13, 3898.
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Publication 2023
Biopharmaceuticals Fibrinogen Hares Microtus neuro-oncological ventral antigen 2, human
2
Monitoring Iberian Hare Populations
Yearly occurrence of vole outbreaks in NW Spain between 1996 and 2020 (i.e., 1997, 1998, 2007, 2008, 2014, 2019) were identified based on reports in the news (historical reconstruction18 (link)) and more recently (from 2009 onward) using common vole abundance indices obtained from live-trapping monitoring (i.e.4 (link),19 (link)).
To study the Iberian hare population trends we used regional hunting statistics available from the regional government (Junta de Castilla-y-León, CAZDATA Project, https://medioambiente.jcyl.es/web/es/caza-pesca/cazdata-banco-datos-actividad.html [Cited 2022 Sep 23]), which included hunting records as well as the number of hunting licences from 1974 to 2020. We used the number of hunted hares divided by the number of hunting licences each year as an abundance index for hares in “Tierra de Campos” (compiling data from the provinces of Palencia, Zamora and Valladolid). CAZDATA Project is an initiative proposed by the Hunting Federation of Castilla y León, which has the support of the regional government and, more importantly, the commitment of almost 60% of the hunting societies in the community to implement a system for monitoring hunting activity. Since this information is gathered by hunters for the benefit of the hunting activity, we are confidence on its reliability to carry out the present study.
Rouco C., Luque-Larena J.J., Vidal D, & Mougeot F. (2023). Vole outbreaks may induce a tularemia disease pit that prevents Iberian hare population recovery in NW Spain. Scientific Reports, 13, 3898.
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Publication 2023
Disease Outbreaks Hares Microtus
3
Tularemia Surveillance in Iberian Hares
We compiled data on F.tularensis prevalence in Iberian hares from 2007 to 2016 using previously published information from a passive surveillance program carried out by the “Regional Network of Epidemiological Surveillance” (Red de Vigilancia Epidemiológica de la Dirección General de Salud Pública) of Castilla-y-León region20 . This provided us with information on hare tularemia prevalence (amount of positives/number of screened individual) each year within the three provinces from “Tierra de Campos”.
Rouco C., Luque-Larena J.J., Vidal D, & Mougeot F. (2023). Vole outbreaks may induce a tularemia disease pit that prevents Iberian hare population recovery in NW Spain. Scientific Reports, 13, 3898.
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Publication 2023
Hares Tularemia
4
Diverse Species Collection and Sourcing
All the species were either collected from conventionally grown lab conditions, or obtained from the wild. With the exception of the sea hare samples which were purchased from the National Resource for Aplysia, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, samples of all the other species were kindly provided by researchers who have worked on corresponding species for years. The strain identifier (if applicable), geographical origin and providers of each species were listed in Table S1.
Zhang P., Zhu Y., Guo Q., Li J., Zhan X., Yu H., Xie N., Tan H., Lundholm N., Garcia-Cuetos L., Martin M.D., Subirats M.A., Su Y.H., Ruiz-Trillo I., Martindale M.Q., Yu J.K., Gilbert M.T., Zhang G, & Li Q. (2023). On the origin and evolution of RNA editing in metazoans. Cell Reports, 42(2), 112112.
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Publication 2023
Aplysia Hares Strains
5
Metazoan RNA Editing Site Identification Protocol
To rule out that false positives resulted from genetic variation during RNA-editing site identification, matching DNA and RNA sequences generated from the same individual/specimen are the ideal data for use in RNA editing studies.41 (link),107 (link) Thus, for the metazoan species with sufficient body mass, both genomic DNA and total RNA were extracted from the same individual, after grinding of the tissue/whole organism in liquid nitrogen. Two to three individuals were collected as biological replicates. These species included the comb jelly Mnemiopsis leidyi (three whole adults), the sponge Amphimedon queenslandica (three biopsies from three adults), the sea anemone Nematostella vectensis (three whole adults), the sea hare Aplysia californica (three whole juveniles), the oyster Crassostrea gigas (three whole adults after removing shells), the sea urchin Strongylocentrotus purpuratus (three pairs of gonad and non-gonad tissues dissected from one female and two male adults; non-gonad tissues comprised the digestive, water vascular, and nervous systems), the acorn worm Ptychodera flava (three whole adults), the lancelet Branchiostoma belcheri (three whole adults), the sea squirt Ciona savignyi (two whole adults) and the zebrafish Danio rerio (three whole adults).
For metazoan species from which a single individual is not sufficient to allow the simultaneous extraction of sufficient DNA and RNA for sequencing library construction, 10-15 individuals with similar genetic background were pooled together, then both genomic DNA and total RNA were extracted from the same pool of organisms after the whole pool was ground in liquid nitrogen. These included the hydra Hydra vulgaris (10 adults per pool, two pools to serve as biological replicates), the fruit fly Drosophila melanogaster (15 male adults per pool, two pools), and Drosophila simulans (15 male adults per pool, two pools).
For the unicellular species and tiny metazoan species, biomass was first increased by the propagation of a single colony with the same genetic background, then both genomic DNA and total RNA were extracted from the same culture of organisms. These included the ichthyosporean Sphaeroforma arctica (three cultures to serve as biological replicates), the filasterean Capsaspora owczarzaki (three cultures), the choanoflagellate Salpingoeca rosetta (three cultures) and Monosiga brevicollis (three cultures), and the metazoan Trichoplax adhaerens (three cultures).
Genomic DNA of all species was extracted with the phenol/chloroform/isopentanol (25:24:1) protocol. The integrity of the DNA samples was assayed by agarose gel electrophoresis (concentration: 1%; voltage: 150 V; Time: 40 min) before DNA-seq library construction. Total RNA of all species except the choanoflagellates was extracted using TRIzol Reagent according to manufacturer’s protocol (Invitrogen, CA, USA). Total RNA of the choanoflagellates S. rosetta and M. brevicollis was extracted using the RNAqueous Kit (Ambion, CA, USA). The quality of the RNA samples was assayed by the Agilent 2100 Bioanalyzer (Thermo Fisher Scientific, MA, USA) before RNA-seq library construction. In summary, a total of 53 DNA and 53 RNA samples were obtained in this study. After quality control before library construction, two out of the three RNA samples of M. brevicollis and one out of the three RNA samples of N. vectensis were discarded due to poor RNA integrity (RIN <6).
Zhang P., Zhu Y., Guo Q., Li J., Zhan X., Yu H., Xie N., Tan H., Lundholm N., Garcia-Cuetos L., Martin M.D., Subirats M.A., Su Y.H., Ruiz-Trillo I., Martindale M.Q., Yu J.K., Gilbert M.T., Zhang G, & Li Q. (2023). On the origin and evolution of RNA editing in metazoans. Cell Reports, 42(2), 112112.
Full text: Click here
Publication 2023
Adult Aplysia Biopharmaceuticals Biopsy Blood Vessel Branchiostoma belcheri Chloroform Choanoflagellata Ciona savignyi Crassostrea gigas Ctenophora Digestive System DNA, A-Form DNA Library Drosophila Drosophila melanogaster Drosophila simulans Electrophoresis, Agar Gel Females Genetic Background Genetic Diversity Genome Gonads Hares Helminths Human Body Hydra isopentyl alcohol Klippel-Feil Syndrome Lancelets Males Mnemiopsis Nitrogen Oysters Phenol Porifera RNA-Seq RNA Sequence Sea Anemones Sea Urchin Strongylocentrotus purpuratus Systems, Nervous Tissues Trichoplax trizol Urochordata Zebrafish

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More about "Hares"

Lagomorphs, Leporids, Rabbits, Cottontails, Jackrabbits, Snowshoe Hares, Arctic Hares, Tundra Hares, Grassland Hares, Herbivores, Prey Animals, Predator-Prey Dynamics, Seasonal Camouflage, Ecologically Important Species, Mammalian Biology, Behavioral Ecology, Evolutionary Adaptations, Wildlife Conservation, Reproducibility in Research, AI-Powered Comparisons, Data-Driven Decision Making, PubCompare.ai, Staphylococcus aureus, PBS, Penicillin, Streptomycin, MATLAB, GraphPad Prism 7, LSRFortessa.