Pond Boss Forums MANAGING AN EXISTING POND Evaluating and adjusting fish populations Do I need some better genes?

Could not get those articles yet but found these.



Tramactions of the American Fisheries Society 109:108-115, 1980

¸ Copyright by the American Fisheries Society 1980

Genetic and Morphological Variation of Bluegill

Populations in Florida Lakes

JAMES D. FELLEY

Department of Zoology, University of Oklahoma

Norman, Oklahoma 73019

JOHN C. AVISE

Department of Zoology, University of Georgia

Athens, Georgia 30602

Abstract

The structure of bluegill (Lepomis macrochirus) populations in natural Florida lakes was assessed

from clcctromorphic and morphologicharacters. Elcctrophorctically assaycd allclc frequencies

arc homogeneous within lakes and heterogeneous among lakes. Populations in two adjacent

lakes connected by a short river arc nearly identical. Several considerations indicate that cvcn

young-of-the-year bluegills arc well mixed within subpopulations of these lakes, and that indi-

vidual dispersal is important in maintaining intcrsubpopulation homogcncity in allclc frequency.

This pattern of genetic differentiation contrasts with the pattern of hctcrogcncity observed in

mcristic counts for several morphological traits. At the microgeographic level, genetic homo-

gcncity probably reflects a long-term history of bluegill movements within a lake, while within-

lake morphological hcterogcncity reflects the varied conditions during individual development

to which incompletely isolated subpopulations are exposed.

The genetic homogeneity observed within

lakes is not reflected in the morphological char-

acteristics (Fig. 2). Hagen (1973) found high

heritabilities for meristics traits but noted that

heritability can only be defined for given envi-

ronmental conditions. Meristic traits are influ-

enced during embryonic development by such

environmental variables as temperature, CO2

concentration, salinity, and pH (T•ning 1952;

Barlow 1961; Fowler 1970). The variation in

locality means for these meristic traits may thus

be evidence of the environmental conditions,

varying temporally and microgeographically, to

which the developing fish were subjected. Thus

we can envision the possibility of a lake con-

sisting of/a patchwork of environmental con-

ditions influencing developmentally plastic

traits. Between-locality heterogeneity in such

morphological characters would then be regen-

erated in each generation, while the between-

locality homogeneity in genetic composition re-

flects effects of a long-term history of bluegill

movement within a lake.

On a broader perspective, all bluegills in the

Florida lakes are similar to one another, both

morphologically and genetically. Their meristic

counts and genotype frequencies are character-

istic of the Florida bluegill subspecies, and are

very distinct from bluegills from Georgia and

South Carolina to Texas (Avise and Smith

1974; Felley, in press). At the macrogeographic

level, there is a clear correspondence between

morphology and genetics. At the microgeo-

graphic level, genetic homogeneity may reflect

the long-term history of bluegill movement

within a lake, while morphological heteroge-

neity reflects the varied developmental condi-

tions to which individuals in incompletely iso-

lated subpopulations are exposed.



North American Journal of Fisheries Management 17:543-556, 1997

© Copyright by the American Fisheries Society 1997

Geographic Patterns in Genetic and Life History Variation in

Pumpkinseed Populations from Four East-Central

Ontario Watersheds

MICHAEL G. Fox

Environmental and Resource Studies Program and Department of Biology

Trent University, Peterborough, Ontario K9J 7B8, Canada

JULIE E. CLAUSSEN AND DAVID P. PHILIPP

Center for Aquatic Ecology, Illinois Natural History Survey

607 East Peabody Drive, Champaign, Illinois 61820, USA

Abstract.—We examined the geographic distribution of biochemical genetic and life history

characteristics of 16 populations of pumpkinseed Lepomis gibbosus within four east-central Ontario

watersheds to determine (1) if populations within watersheds were more alike for either of these

traits than populations among watersheds, (2) if the distribution of genetic and life history characteristics

among watersheds coincided with each other, and (3) if the distribution of genetic and

life history characteristics among watersheds showed some geographic pattern. Pumpkinseeds

collected early in the reproductive season in the years 1990-1993 were assessed for reproductive

maturity, gonadosomattc index (females only), and juvenile growth. Allele frequencies at six

polymorphic loci were determined by protein electrophoresis. Cluster analysis based upon genetic

distance coefficients showed three distinct groups, one containing populations from the Rideau

River watershed, a second containing populations from the Crowe River watershed, and a third

containing a mixture of populations from the Cataraqui River and Otonabee River watersheds.

This cluster pattern does not coincide with a geographic distance matrix among river systems

based upon current watersheds, but is consistent with suggested post-Pleistocene recolonization

routes from both the Mississippi and Atlantic refugia. Mean age and length at maturity, however,

showed an east-west pattern of variation, with the populations in the two central Ontario watersheds

maturing earlier and at a smaller size than the populations in the two eastern Ontario watersheds.

The cluster pattern of life history traits also did not coincide with a geographic distance matrix

based upon current watersheds, nor did it coincide with the cluster pattern based upon genetic

distance coefficients. The differences in genetic and life history patterns may reflect original

founder effects during initial recolonization events, the effects of drift subsequent to that time,

life history responses to east-west differences in natural or human-induced environmental factors,

or some combination of these factors. These observed patterns in the distribution of genetic

variation (i.e., the clustering of populations within watersheds) support the concept of managing

native fisheries by the stock concept.



Fish also exhibit interpopulational variation in

life history traits, some of which can be attributed

to genetic factors (McPhail 1977; Fields, et al.

1987; Gharrett et al. 1988; Snyder and Dingle

1988; Beacham el al. 1989; Philipp and Whitt

1991; Toline and Baker 1994; see also Stearns and

Koella 1986). A high degree of variation in reproductive

life history traits has been shown to

occur even among fish populations within the same

geographic region. Although some of this variation

is clearly related to environmental variability (e,g,,

Constantz 1979; Baltz and Moyle 1982; Fox and

Keast 1991), reproductive life history variation

within a geographic region also occurs among fish

populations for which major environmental differences

are not evident (Schmeidler and Brown

1990; Hutchings 1993; Fox 1994).





More

FELLEY, J. In press. Analysis of morphology and

asymmetry in bluegill sunfish (Lepomis macrochi-

rus) in the southeastern United States. Copeia.



NEY, J.J., AND L. L. SMITH, JR. 1976. Serum protein

variability in geographically defined bluegill (Le-

pomis macrochirus) populations. Transactions of

the American Fisheries Society 105:281-290.

From

Evolutionary Ecology Research, 1999, 1: 111–128

© 1999 Gary G. Mittelbach

Variation in feeding morphology between pumpkinseed

populations: Phenotypic plasticity or evolution?

Gary G. Mittelbach,1* Craig W. Osenberg2 and Peter C. Wainwright3‡

These results show that the natural variation in

pharyngeal morphology between these populations of pumpkinseeds is primarily the result of a

plastic response to the environment, rather than a response to selection driven by the environmental

differences.
Thus, although our results provide no evidence of a genetic basis for variation in functional

morphology, the observed phenotypic plasticity represents an important mechanism

that can mould a fish’s morphology to the resource base of a lake. Ultimately, this would be

most adaptive if reduced crushing morphology resulted in the more efficient use of softbodied

prey. To date, we have no evidence for such a trade-off in pumpkinseed, although

work on its sister species, the redear sunfish, has shown that such a trade-off exists (Huckins,

1997; see also Ehlinger, 1990; Schluter, 1995; Robinson et al., 1996, for other examples

of trade-offs).

Robinson et al. (1993) collected pumpkinseeds from the shallow littoral zone

and from rocky outcrops in the open water of Paradox Lake, NY, and found that individuals

from these two areas differed in diet. Pumpkinseeds from rocky outcrops feed on

zooplankton and snails, while those in the littoral zone feed on snails and other bentic

invertebrates. Individuals from the two areas also differed in body shape, gill-raker width

and pectoral fin length. In a common-garden type experiment, Robinson and Wilson (1996)

found that phenotypic plasticity and genetic differentiation accounted for 53 and 14%,

respectively, of the variation in body shape. Therefore, like our study, phenotypic plasticity

was the major factor accounting for morphological variation among pumpkinseeds,

although genetic differentiation also appeared to contribute significantly to the Paradox

Lake polymorphism.

ALSO

Ehlinger, T.J. 1990. Phenotype-limited feeding efficiency and habitat choice in bluegill: Individual

differences and trophic polymorphism. Ecology, 71: 886–896.



Ehlinger, T.J. and Wilson, D.S. 1988. Complex foraging polymorphism in bluegill sunfish. Proc. Natl.

Acad. Sci., 85: 1878–1882.



Lauder, G.V. 1983a. Functional and morphological bases of trophic specialization in sunfishes

(Teleostei, Centrarchidae). J. Morph., 178: 1–21.



Mittelbach, G.G., Osenberg, C.W. and Wainwright, P.C. 1992. Variation in resource abundance

affects diet and feeding morphology in the pumpkinseed sunfish (Lepomis gibbosus). Oecologia,

90: 8–13.



Wainwright, P.C., Lauder, G.V., Osenberg, C.W. and Mittelbach, G.G. 1991b. The functional basis

of intraspecific trophic diversification in sunfishes. In The Unity of Evolutionary Biology (E.C.

Dudley, ed.), pp. 515–528. Portland, OR: Dioscorides Press.



Wainwright, P.C., Lauder, G.V., Osenberg, C.W. and Mittelbach, G.G. 1991b. The functional basis

of intraspecific trophic diversification in sunfishes. In The Unity of Evolutionary Biology (E.C.

Dudley, ed.), pp. 515–528. Portland, OR: Dioscorides Press.

So it's really about epigenetics and not genetics?

The little bit I understand about epigenetics is that you can have two specimens with identical genes (clones) and depending on what genes are being supressed or activated, some traits will show through differently depending on outside factors, similar to why Rainbow the cat's clone was striped while Rainbow was calico in Texas A&M's research. It also may explain why one human twin can develop cancer while the other doesn't. It is also believed that once these switches are activated, the parents can pass the changes onto the offspring.

So the question is, how can we influence or rather how are we influencing these traits?

What's different about the saucer shaped BG's environment. Is it weeds? Is is food?

Anybody have any obese streamlined BG?

How about skinny saucer shaped?

This is getting longhaired but interesting. From Wikipedia

At the individual organism level - phenotypic plasticity

The ability of an organism with a given genotype to change its phenotype in response to changes in the environment is called phenotypic plasticity.[1] Such plasticity in some cases expresses as several highly morphologically distinct results; in other cases, a continuous norm of reaction describes the functional interrelationship of a range of environments to a range of phenotypes.

A highly illustrative example of phenotypic plasticity is found in the social insects, colonies of which depend on the division of their members into distinct castes, such as workers and guards.[4] These two castes differ dramatically in appearance and behaviour. However, while these differences are genetic in basis, they are not inherited; they arise during development and depend on the manner of treatment of the eggs by the queen and the workers, who manipulate such factors as embryonic diet and incubation temperature. The genome of each individual contains all the instructions needed to develop into any one of several 'morphs', but only the genes that form part of one developmental program are activated.[5]

At the cellular level - epigenetics

Epigenetics refers to changes in gene expression. These changes may remain through cell divisions for the remainder of the cell's life. Sometimes the changes last for multiple generations. However, there is no change in the underlying DNA sequence of the organism,[1] instead, environmental factors cause the organism's genes to behave (or "express themselves") differently.[2] The best example of epigenetic changes in eukaryotic biology is the process of cellular differentiation. During morphogenesis, totipotent stem cells become the various pluripotent cell lines of the embryo which in turn become fully differentiated cells. In other words, a single fertilized egg cell - the zygote - changes into the many cell types including neurons, muscle cells, epithelium, blood vessels et cetera as it continues to divide. It does so by a process of activating some genes while silencing others.[3]



The role of phenotypic plasticity in driving genetic

evolution

Trevor D. Price1*, Anna Qvarnstro¨m2 and Darren E. Irwin3

Models of population divergence and speciation are often based on the assumption that differences

between populations are due to genetic factors, and that phenotypic change is due to natural selection.

It is equally plausible that some of the differences among populations are due to phenotypic plasticity.

Phenotypic plasticity is widespread in nature and may speed up, slow down, or have little effect on evolutionary

change. Moderate levels of plasticity may often facilitate genetic evolution but careful analyses of individual

cases are needed to ascertain whether plasticity has been essential or merely incidental to population differentiation.



Comparisons of populations of the same species on continents

and islands have demonstrated differences in foraging

behaviours (MacArthur & Wilson 1967; Yeaton

1974; Blondel et al. 1988; Prodon et al. 2002). Similar

comparisons have also demonstrated differences in morphology

(Clegg & Owens 2002). In individual cases the

behavioural and morphological differences have been

directly connected (e.g. Yeaton 1974; Grant 1979; Feinsinger

& Swarm 1982).

I do realize that we are getting pretty darn in-depth. However, those who are interested, take a look at this!

Foraging performance of diet-induced morphotypes in pumpkinseed sunfish (Lepomis gibbosus) favours resource polymorphism.

Research Paper

Journal of Evolutionary Biology. 20(2):673-684, March 2007.
PARSONS, K. J.; ROBINSON, B. W.
Abstract:
Morphological plasticity can influence adaptive divergence when it affects fitness components such as foraging performance. We induced morphological variation in pumpkinseed sunfish (Lepomis gibbosus) ecomorphs and tested for effects on foraging performance. Young-of-year pumpkinseed sunfish from littoral and pelagic lake habitats were reared each on a 'specialist diet' representing their native habitat-specific prey, or a 'generalist diet' reflecting a combination of native and non-native prey. Specialist and generalist diets, respectively, induced divergent and intermediate body forms. Specialists had the highest capture success on their native prey whereas generalist forms were inferior. Specialists faced trade-offs across prey types. However, pelagic specialists also had the highest intake rate on both prey types suggesting that foraging trade-offs are relaxed when prey are abundant. This increases the likelihood of a resource polymorphism because the specialized pelagic form can be favoured by directional selection when prey are abundant and by diversifying selection when prey resources are restricted.

I'm having a bit of trouble following the terminology.

So, their shape determines what they eat and what they eat and determines their shape and what their parents, grandparents, greatgrandparents shape is or what they ate may also determine how my bluegill are shaped and what they eat?

What's so complicated about that?

The way I read it that is foraging strategies are largely responsible for differences in body shapes.

Specialists tend to be "saucers" while generalists tend to be more "streamlined".

Personally I still think that whichever one has the most abundant food source and the least amount of competition is still the most well "rounded" one.

WHAT?????? Some of those words look like they are missing a few vowels.

I watched a special on the Discovery Channel the other evening that was about identical twins. During the show the topic of epigenetics came up. Very interesting stuff and presented in a format that even a bean counter could understand.

I saw it on Nova Science Now on PBS. Kinda made me rethink the whole genetics thing.

I did a little "sampling" last night with a small hook and crickets for bait. The 4"-6" bluegills have a more rounded body shape then the larger fish. I only caught 1 that was about 8" and it looked more like the 2006 photo's I posted. They all seem to be benefiting from the increased rations and higher protein pellets. I'd guess they're about 15% heavier but I didn't weigh them. I'll be sure to have the camera handy next time.

Here's some pics from last night. My flash was off, sorry for the low quality.

Good pictures, Ryan. Those sure look like healthy, plump fish with the more streamlined body shape. Guys? Whatcha think??

My WAG is genetics – these two CNBG were caught from same pond – same day – minutes apart, two weeks ago.
They are from a ¼ acre “grow-out” pond that I culled “inferior” CNBG from main pond that are a mix of native, Arkansas strain (mixed genes), and pure Florida stockers.

Here are a few more. Some weeds (less than 3%) and some structure with fertile water and supp feeding (one feeder 16 acres) about 1 lb per acre per week during growing season.

Wow! Colors and shapes all over the place. All nice fish.

George, that top fish is a freak! That's what I'm looking for. The second one is a beauty too.

Ewest, those fish look really good for such a low feeding rate. They vary so much for one body of water, even if it is 16 acres. Were your stock from multiple sources? How old is the pond?

New info on BG RWs and factors in growth and other factors like SHAPE , ENERGETIC HISTORY and GENETICS.



Interpretation of Relative Weight in Three Populations of

Wild Bluegills: A Cautionary Tale

TIMOTHY COPELAND,*1 BRIAN R. MURPHY, AND JOHN J. NEY

North American Journal of Fisheries Management 28:368–377, 2008

Copyright by the American Fisheries Society 2008

Abstract.—Physiological status of wild fish is inherently variable in time and space, and investigators need

to understand how this variation affects the interpretation of condition indices. Our objective was to describe

the relationship of relative weight (Wr) to several indicators of nutritional status (lipid, protein, and water

content, and weights of internal organs) in two populations of bluegill Lepomis macrochirus and see how well

this relationship performed when tested against an independent data set, a third



Explanatory Hypotheses

The variables we compared with Wr are commonly

used to assess the nutritional status of fish. Several

previous studies found significant correlations between

those variables and Wr. Why were correlations to Wr so

weak in this study? We developed four explanatory

hypotheses.

Differences in body shape may also be influential.

Standard weight, or Ws, the denominator used in

calculation of Wr, is exclusively a function of length.

Body shape logically affects the chances of weight

varying from changes in a dimension other than the

main body axis. A compressed species, such as

bluegill, should be more likely to exhibit changes in

shape not related to length than more cylindrical

species. Shape changes would be manifested as extra

variation about the Ws curve. Additionally, habitatrelated

differences in morphology within bluegill

populations have been demonstrated (Layzer and Clady

1987; Ehlinger and Wilson 1988). These differences

may affect the ability of a single Ws equation to remove

the size component of total weight in bluegills.

Genetics.—Bluegills may be genetically inclined

to be thin or plump and gradations between the extremes

could be found in any population. In this case, Wr

would carry limited information on nutritional status.

Energetic history.—Feeding history may influence

the relationship of Wr to body components. Shearer

(1994) cautioned that relationships predicting body

composition should be applied only to growing fish.

growth. Fed and

starved fish have different energetic strategies and both

are probably in the same population because of

resource patchiness and differences in individual

ability. Fish with ample energetic reserves grow

differently than those with depleted reserves (Broekhuizen

et al. 1994). Fasted fish will typically grow

more quickly after re-feeding than individuals that have

been fed continuously, a phenomenon termed compensatory

compensatory growth (Weatherley and Gill 1981;

Population ecology.—Energy allocation decisions

are influenced by environmental conditions, resulting

in different energy allocation strategies (Deacon and

Keast 1987; Belk and Hales 1993; Drake et al. 1997).

Allocation strategy can affect the nutritional state of

individuals as energetic investment and expenditures

are adjusted to maximize fitness (Justus and Fox 1994;

Post and Parkinson 2001). One potential effect of

alternative strategies would be to decouple Wr from

somatic investment in the individual if the majority of

energy is channeled into maturation and reproduction.

Environmental conditions may influence energy

allocation in a manner independent of reproductive

strategy (Rogers and Smith 1993). The benefits of

increased energy storage and body mass are well

known. However, increased body mass has potential

concomitant costs due to predation risk, metabolic

costs, injury risk, increased foraging, and health effects

of obesity (Witter and Cuthill 1993). Energy storage

and relative body mass are, thus, life history traits to be

optimized in terms of survival (Rogers 1987).

Habitat selection based on trade-offs between predation

risk and energetic profitability has been demonstrated

for bluegills (Werner et al. 1983; Werner and Hall

1988). These trade-offs can explain population differences

in growth and size structure (Nibbelink and

Carpenter 1998) and have implications for lipid storage

and Wr.