Mitochondrial DNA restriction site variation in Tasmanian populations of Orange Roughy (Hoplostethus atlanticus), a deep-water marine teleost

1989 ◽  
Vol 40 (1) ◽  
pp. 1 ◽  
Author(s):  
JR Ovenden ◽  
AJ Smolenski ◽  
RWG White
Keyword(s):  
Mitochondrial Dna ◽  
West Coast ◽  
East Coast ◽  
Restriction Site ◽  
The West ◽  
Orange Roughy ◽  
Site Change ◽  
Restriction Site Variation ◽  
Site Variation ◽  
Hoplostethus Atlanticus

The orange roughy, Hoplostethus atlanticus, forms the basis of an important trawl fishery in Australia and New Zealand which is currently being over-exploited. To gain information about the stock structure of an Australian orange roughy population, ten restriction enzymes were used to survey the restriction- site variation in the mitochondrial genome of 23 individuals collected from the east coast and 26 individuals collected from the west coast of Tasmania. The mean diversity between all 49 genomes was a low 0.19%. Of the eleven haplotypes identified, only one was present in both the east and west coast samples. Four haplotypes were found only in the east coast sample and six were found only in the west coast sample. Eight haplotypes were related to the haplotype found on both coasts by the gain or loss of one restriction site. One haplotype collected in the east coast sample was related to one other east coast haplotype by one site change. One haplotype collected from the west coast was related to a west coast haplotype by one site change. If this pattern is confirmed by further mitochondrial DNA studies, it could be inferred that gene flow between the orange roughy populations on the east and west coasts of Tasmania is low.

Restriction site variation, length polymorphism and changes in gene order in the mitochondrial DNA of the yeast Kluyveromyces lactics

1990 ◽  
Vol 58 (4) ◽  
pp. 227-234 ◽  
Author(s):  
Coria O. Roberto ◽  
Eugenia Zalce O. María ◽  
Mendoza R. Valentín ◽  
Alvarez J. Gloria ◽  
Cobos de Alba Tuena ◽  
...  
Keyword(s):  
Mitochondrial Dna ◽  
Length Polymorphism ◽  
Gene Order ◽  
Restriction Site ◽  
Restriction Site Variation ◽  
Site Variation

scholarly journals Hierarchical Analysis of Nucleotide Diversity in Geographically Structured Populations

Genetics ◽  
1996 ◽  
Vol 142 (2) ◽  
pp. 629-639 ◽  
Author(s):  
Kent E Holsinger ◽  
Roberta J Mason-Gamer
Keyword(s):  
Nucleotide Diversity ◽  
Restriction Site ◽  
Rooted Tree ◽  
Structured Populations ◽  
Hierarchical Analysis ◽  
Restriction Site Variation ◽  
Hierarchical Levels ◽  
Site Variation ◽  
The Mean ◽  
Mean Time

Abstract Existing methods for analyzing nucleotide diversity require investigators to identify relevant hierarchical levels before beginning the analysis. We describe a method that partitions diversity into hierarchical components while allowing any structure present in the data to emerge naturally. We present an unbiased version of Nei's nucleotide diversity statistics and show that our modification has the same properties as Wright's  F  ST. We compare its statistical properties with several other F  ST estimators, and we describe how to use these statistics to produce a rooted tree of relationships among the sampled populations in which the mean time to coalescence of haplotypes drawn from populations belonging to the same node is smaller than the mean time to coalescence of haplotypes drawn from populations belonging to different nodes. We illustrate the method by applying it to data from a recent survey of restriction site variation in the chloroplast genome of Coreopsis grandiflora.

scholarly journals ENSO and Wintertime Extreme Precipitation Events over the Contiguous United States

2008 ◽  
Vol 21 (1) ◽  
pp. 22-39 ◽  
Author(s):  
Siegfried D. Schubert ◽  
Yehui Chang ◽  
Max J. Suarez ◽  
Philip J. Pegion
Keyword(s):  
United States ◽  
West Coast ◽  
Extreme Precipitation ◽  
East Coast ◽  
Daily Precipitation ◽  
Precipitation Variability ◽  
The West ◽  
Extreme Precipitation Events ◽  
The Impact ◽  
Precipitation Events

Abstract In this study the authors examine the impact of El Niño–Southern Oscillation (ENSO) on precipitation events over the continental United States using 49 winters (1949/50–1997/98) of daily precipitation observations and NCEP–NCAR reanalyses. The results are compared with those from an ensemble of nine atmospheric general circulation model (AGCM) simulations forced with observed SST for the same time period. Empirical orthogonal functions (EOFs) of the daily precipitation fields together with compositing techniques are used to identify and characterize the weather systems that dominate the winter precipitation variability. The time series of the principal components (PCs) associated with the leading EOFs are analyzed using generalized extreme value (GEV) distributions to quantify the impact of ENSO on the intensity of extreme precipitation events. The six leading EOFs of the observations are associated with major winter storm systems and account for more than 50% of the daily precipitation variability along the West Coast and over much of the eastern part of the country. Two of the leading EOFs (designated GC for Gulf Coast and EC for East Coast) together represent cyclones that develop in the Gulf of Mexico and occasionally move and/or redevelop along the East Coast producing large amounts of precipitation over much of the southern and eastern United States. Three of the leading EOFs represent storms that hit different sections of the West Coast (designated SW for Southwest coast, WC for the central West Coast, and NW for northwest coast), while another represents storms that affect the Midwest (designated by MW). The winter maxima of several of the leading PCs are significantly impacted by ENSO such that extreme GC, EC, and SW storms that occur on average only once every 20 years (20-yr storms) would occur on average in half that time under sustained El Niño conditions. In contrast, under La Niña conditions, 20-yr GC and EC storms would occur on average about once in 30 years, while there is little impact of La Niña on the intensity of the SW storms. The leading EOFs from the model simulations and their connections to ENSO are for the most part quite realistic. The model, in particular, does very well in simulating the impact of ENSO on the intensity of EC and GC storms. The main model discrepancies are the lack of SW storms and an overall underestimate of the daily precipitation variance.

RESEARCH ON PREMATURE INFANTS—SOME PERSPECTIVES

PEDIATRICS ◽  
1963 ◽  
Vol 32 (3) ◽  
pp. 319-325
Author(s):  
S. Z. LEVINE
Keyword(s):  
Clinical Research ◽  
Premature Infants ◽  
West Coast ◽  
East Coast ◽  
Good Friend ◽  
The West ◽  
Clinical Research Center ◽  
Principle Investigator ◽  
Long Time ◽  
The Many

THERE ARE A number of reasons why I appreciate deeply your invitation to join in these dedication exercises of the Clinical Research Center for Premature Infants. This Center for the care and study of premature infants extends to the West Coast a field of study in which I, on the East Coast, have been interested for many years. Equally gratifying is the circumstance that it will have Dr. Norman Kretchmer, my long-time colleague and good friend, as its Principle Investigator; and Dr. Sumner Yaffe, his distinguished associate, as its first Program Director. Under their direction and with a team of competent workers, with splendid facilities and an adequate budget, we are assured of imaginative exploration and new approaches to the many unknowns still awaiting solution.

Quantitative seismicity maps of India

1972 ◽  
Vol 62 (5) ◽  
pp. 1119-1132 ◽  
Author(s):  
K. L. Kaila ◽  
V. K. Gaur ◽  
Hari Narain
Keyword(s):  
Return Period ◽  
West Coast ◽  
Active Zone ◽  
East Coast ◽  
Indian Subcontinent ◽  
B Value ◽  
Tibet Plateau ◽  
The West ◽  
Period Map ◽  
A Value

Abstract Using the Kaila and Narain (1971) method, three quantitative seismicity maps have been prepared for the Indian subcontinent which are compared with regional tectonics. These are the A-value map, the b-value map and the return-period map for earthquakes with magnitude 6 and above where A and b are the constants in the cumulative regression curve represented by log N = A - bM. The A-value seismicity map shows that India can be divided into two broad seismic zones, the northern seismically highly active zone and the southern moderately active zone. In the northern active zone, a number of seismic highs have been delineated such as the Pamir high, the northwest-southeast trending Srinagar-Almora high, the Shillong massif high, the Arakan Yoma high and the West Pakistan highs. These seismic highs are consistent with the Himalayan tectonic trends. Contrary to this, two seismic highs fall in the Tibet plateau region which align transversely to the main Himalayan trend. In the southern moderately active zone, two seismic highs are clearly discernible, the east and the west coast high, the latter being seismically more active than the former. The least active zone encompasses the Vindhyan syncline and the areas of Delhi and Aravalli folding. Between this zone and the east coast high lies another moderately active zone which encloses the Godavari graben, western part of the Mahanadi graben and the Chattisgarh depression. The b-value seismicity map also demarcates the same active zones as are brought out on the A-value map. The return-period map of India for earthquakes with magnitude 6 and above shows a minimum return period of 100 years in the Pamirs, about 130 years in the various seismic highs in the northern active zone, 180 years on the west coast high, 200 years on the east coast high and about 230 years in the least active Vindhyan-Aravalli zone and the Hyderabad-Kurnool area. These quantitative seismicity maps are also compared with the seismic zoning map of Indian Standards Institution and seismicity maps of India prepared by other workers.

The I-4 Corridor

2019 ◽  
pp. 76-108
Author(s):  
Susan A. MacManus ◽  
David J. Bonanza ◽  
Anthony A. Cilluffo
Keyword(s):  
West Coast ◽  
Political Geography ◽  
East Coast ◽  
The West ◽  
Rural Counties

This chapter examines the critical political geography of Florida—the 130-mile expanse from Tampa on the west coast to Daytona Beach on the east coast known as the I-4 corridor.This mix of urban, suburban, and rural counties usually decides elections in Florida.

Sign in / Sign up

Export Citation Format

Share Document