POPULATIONS OF THE LAKE TANGANYIKA POECILID FISH, LAMPRICHTHYS - - PowerPoint PPT Presentation

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POPULATIONS OF THE LAKE TANGANYIKA POECILID FISH, LAMPRICHTHYS - - PowerPoint PPT Presentation

COMPARATIVE MOLECULAR ECOLOGY OF NATIVE AND LAKE KIVU INTRODUCED POPULATIONS OF THE LAKE TANGANYIKA POECILID FISH, LAMPRICHTHYS TANGANICANUS, EASTERN AFRICA By Joseph Lushombo Matabaro Universit Officielle de Bukavu, DRCongo I. INTRODUCTION


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By Joseph Lushombo Matabaro Université Officielle de Bukavu, DRCongo

COMPARATIVE MOLECULAR ECOLOGY OF NATIVE AND LAKE KIVU INTRODUCED POPULATIONS OF THE LAKE TANGANYIKA POECILID FISH, LAMPRICHTHYS TANGANICANUS, EASTERN AFRICA

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  • I. INTRODUCTION / Background

The Albertine rift region is famous for high Biodiversity , livelihoods of riparian and exciting geological events among others. It holds several lakes! Lake Tanganyika, the most ancient of Albertine rift lakes containing several hundreds of endemic fish species (Poll 1986) with fascinating fish ecology making the lake a valuable microcosm for evolutionary studies between species(explosive speciation, adaptive radiation, phylogenetics)

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The lake provides animal proteins to over 10 Millions of people in the 4 bounding countries being estimated to 45% proteins for riparian closed to the Lake (LTA, 2010).

  • I. INTRODUCTION / Background
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  • I. INTRODUCTION / Background

Despite its importance, Lake Tanganyika is threatened by: Pollution (sedimentation, industrial and urban discharge),

  • verfishing,

and use of unconventional fishing gears. In its northern part, Lake Tanganyika receives water drained by the Ruzizi River from Lake Kivu from 120km far away without remarkable mixture of fish species from both lakes.

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  • I. INTRODUCTION / Background

Lake Kivu,

  • Relatively

poor in fish species diversity compared to other great lakes

  • f the Albertine rift
  • Relatively Young and originated from

volcanic eruption

  • Famous for its huge amounts of

methane and other gases physically dissolved in molecular form in the deep waters.

  • Physicho-chemicals

conditions deeply different from those of Lake Tanganyika

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  • I. INTRODUCTION / Background
  • Currently, 29 fish species are known from Lake Kivu and its tributaries:

19 Cichlids species: 15 Cichlids species belonging to Haplochromis genus are endemic to Lake Kivu

  • Among fish species that live in Lake Kivu, 4 fish species are reported

introduced Limnothrissa miodon, Oreochromis macrochir, Tilapia rendalli, and recently Lamprichthys tanganicanus

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  • I. INTRODUCTION / Background

Lake Kivu fisheries are many based on the exploitation of the introduced Clupeid fish, Limnothrissa miodon with a minimum sustained yield estimated at about 13500 tons a year Since 2006, several individuals of the poeciliid fish species Lamprichthys tanganicanus are caught together with those of Limnothrissa miodon in Lake Kivu.

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The presence

  • f

Lamprichthys tanganicanus into Lake Kivu may create some scientific concerns on the origin, period of introduction and its ecology in a new habitat known chemically different from Lake Tanganyika.

  • I. INTRODUCTION / Background

Lake Tanganyika is separated with Lake Kivu by natural barrier, the Ngomo falls in the upper Ruzizi River that prevents eventual fish community sharing between these lakes.

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  • I. INTRODUCTION / Statement of the problem

Fish introduction has been considered as an ecological threat on indigenous species by competition, predation or hybridization and alteration of the ecosystem health (Marck et al. 2000) Limnothrissa miodon: Disappearance of the greatest Lake Kivu Cladoceran, Daphnia curvirostris (Dumont 1986) and significant impact

  • n the body size of the cladoceran Diaphanosoma excisum

(Isumbisho, 2006) Decrease in genetic diversity in the introduced population (Hauser, 1996) Nile Perch, Lates niloticus, Most responsible of change in fish species composition in Lake Victoria.

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  • I. INTRODUCTION / Statement of the problem

However, for Lamprichthys tanganicanus, as a New case: No presumption can be formulated without carrying out investigations. Captures are important in Lake Kivu Geographic origin of Lake Kivu population founder is unknown. In addition, invasive species are subject to some adaptation behaviors to survive in and colonize the new environment during invasion (Siervers et al. 2012 )

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  • I. INTRODUCTION / Objectives

Main objective of This Project

To identify ecological and genetic adaptation patterns

  • f the introduced populations of the poecilid fish,

Lamprichthys tanganicanus in lake Kivu

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Specifically, this project aims in both Lakes Kivu and Tanganyika:

  • 1. To characterize the distribution of Lamprichthys tanganicanus in Lake Kivu

2.To compare the reproductive strategies of L. Tanganicanus in both native and introduction habitats 3.To compare the diet of the tanganyika killifish in both native and introduction habitats

  • 4. To characterize morphometric (phenotypic) parameters of both native and

introduced populations 5.To compare the genetic structure (native and introduced) and define the geographic origin of L. tanganicanus populations

  • I. INTRODUCTION / Objectives
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Among the 4 introduced fish species in Lake Kivu, L. tanganicanus is the only one that has not yet previously been reported in any other reservoirs. Its recent invasion of Lake Kivu is a new case. Baseline information missing! Its ecological characteristics and invasive status of invasive have not yet been investigated .

  • I. INTRODUCTION / Significance
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In addition, the connectivity and genetic history of L. tanganicanus populations have not previously been investigated in any Lake.

  • I. INTRODUCTION / Significance

Lake tanganyika geographic location of strains that invaded Lake Kivu is not elucidated up to now.

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  • II. MATERIAL AND METHODS : SAMPLING SITE LOCATION
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  • II. MATERIAL AND METHODS.

II.1. Study on the Reproductive strategies of L. tanganicanus in both Lakes Kivu and Tanganyika.

Field work Fish sampling was conducted seasonally on both Lakes Kivu and Tanganyika using a set

  • f

experimental gillnet

  • f

1,5m in depth and 30m in large, mesh size ranged from 9mmx9mm, 10mmx10mm and 15mmx15mm in all sampling sites After fishing, catch was be kept into labelled containers with 10%

  • formalin. Label of each container

shows the time and date of sampling, name of the locality, sampling depth, substrate and geographic coordinates.

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  • II. MATERIAL AND METHODS.

II.1. Study on the reproductive strategies of L. tanganicanus in both lakes Kivu and Tanganyika. Lab work:

On each fish specimen, Sex, Weight (g), Standard Length (mm), Total length (mm) was recorded using a weighing scale and manual caliper. After dissection, Gonads was carefully removed and weighed and development stage determined following Legendre and Ecoutin(1989). Gonado-somatic index (GSI) was calculated using the formula proposed by Lagrer (1971). The correlation between weight and Standard Length was computably generated through the regression coefficient with the help of SATISTIICA software.

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  • II. 2. Comparative study on the diet of the Tanganyika Poeciliid fish

Lamprichthys tanganicanus in both Lakes Tanganyika and Kivu

  • II. MATERIAL AND METHODS

Samples were monthly collected in the same sites. On the field, a set of experimental gillnet of 1,5m in depth and 30m in large with 3 different mesh sizes was used. Collected fishes were introduced into labelled containers with 10% formalin for preservation.

In the laboratory, fish samples were first weighed and measured

Each fish was dissected to remove the gut that was also be

  • pened to analyse its contents.
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  • II. MATERIAL AND METHODS

II.2. Comparative study on the diet of the Tanganyika Poeciliid fish Lamprichthys tanganicanus in both Lakes Tanganyika and Kivu

Food items from guts ware taxonomically identified using a microscope and microscope slide equipment described by Contente et al. (2012). Individuals of each food item were identified to possible lowest taxonomic level and

  • counted. In Total, 239 fish individuals have

been dissected. Diet data will be treated using methods largely used for expression of diet results following Hyslop, 1980, Lalèyè et al. 2006 and Contente et al.( 2012)

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  • II. 3. Population Genetic study in both Lakes Kivu and Tanganyika: Origin of

Lake Kivu killifish population.

  • II. MATERIAL AND METHODS

Field work After fishing, and before transferring the catch into formalin solution, samples of tissues were collected on each specimen. On each specimen, the whole right pectoral fin of the fish was removed and kept into labelled vials containing 96% ethanol for preservation. Cryo Vials containing fin samples were kept into fresh cool box being transferred in the laboratory at kept at room temperature.

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Lab work Usual activities for molecular studies will be performed on each fish fin samples, these include:

  • DNA extraction,
  • II. MATERIAL AND METHODS
  • II. 3. Population Genetic study in both Lakes Kivu and Tanganyika: Origin of

Lake Kivu killifish population

  • PCR (Polymerase Chain Reaction) of DNA extracted samples will be

carried out in a molecular Lab

  • PCR products sequencing
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  • II. MATERIAL AND METHODS

II.3. Population Genetic study in both Lakes Kivu and Tanganyika: Origin of Lake Kivu killifish populations Data analyses Both mitochondrial DNA and microsatellite data will be analysed using DnaSP version 5 and Arlequin ver.3.5 software to determine: Genetic population structure per site in both lakes, Haplotypes diversity per site, Estimate of the size of population, Origin of Lake Kivu population and other genetic parameters following (Menezes et al. 2012), Haynes (2009) and Verheyen et al.(2003).

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II.4. Characterization of phenotypic parameters in native and introduced populations of the Tanganyika killifish Lamprichthys tanganicanus

  • II. MATERIAL AND METHODS

Lab work

Fish specimen were

  • btained

from individuals that have undergone sampling

  • f fins for genetic studies.

Manual caliper was used for measurements and all count data will be recorded using a binocular stereo microscope. 27 Measurements were recorded on each specimen. We followed Wildecampes and Malumbres (2004) for measuring morphometric characters and Van der Zee and Sonnenberg (2011) for meristic records.

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Principal component analyses (PCA) techniques will be used to analyse morphometric and meristic data on the covariance matrix of log transformed measurements and the correlation matrix of raw meristcs. II.4. Characterization

  • f

phenotypic parameters in native and introduced populations of the Tanganyika killifish Lamprichthys tanganicanus Data analyses

  • II. MATERIAL AND METHODS

Populations will be ranged in geographical groups to evaluate eventual geographic variations. Differences in ratios of measurements (relative to head or standard length) and meristics for these will be tested using pair wise Mann Whitney U tests.

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  • III. EXPECTED OUTPUTS
  • Spatial and temporal distribution of the L. tanganicanus in

both Lakes Kivu and Tanganyika

  • Size at first maturity and growth of L. tanganicanus in both

Lake Kivu and Tanganyika

  • Diet of L. tanganicanus in both Lake Kivu and Tanganyika
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  • III. EXPECTED OUTPUTS
  • Description
  • f

population genetics structure

  • f

Lamprichthys tanganicanus (killifish) in both Lakes Tanganyika and Kivu.

  • Lake Tanganyika geographic origin of Lake Kivu killifish
  • Morphological characterization of native and introduced

populations of L. tanganicanus.

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  • IV. Preliminary Results/Distribution
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  • IV. Preliminary Results/Distribution
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Preliminary Results/Distribution

Variation de la capture de L. miodon par filet selon le milieu

0,5 1 1,5 2 2,5 3 3,5 4 filet9mm filet10mm filet15mm Filet Capture (kg) littorale Pelagique

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  • IV. Preliminary Results/Distribution

.1 .2 .3 .4 .5 .6 .7 .8 Cell Mean 08h9h 10h11h 11h12h 12h13h 13h14h 14h15h 15h16h 16h17h 17h18h 17h18h 18h19h 20h21h 21h22h 4h6h 4h6h 5h7h 7h09h 7h8h 8h10h 8h9h 9h10h Cell Interaction Bar Plot for Ltfilet10mm(kg) Effect: heure peche Error Bars: ± 1 Standard Error(s)

.05 .1 .15 .2 .25 .3 .35 Cell Mean 08h9h 10h11h 11h12h 12h13h 13h14h 14h15h 15h16h 16h17h 17h18h 17h18h 18h19h 20h21h 21h22h 4h6h 4h6h 5h7h 7h09h 7h8h 8h10h 8h9h 9h10h Cell Interaction Bar Plot for Ltfilet9mm(kg) Effect: heure peche Error Bars: ± 1 Standard Error(s)

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  • IV. Preliminary Results/Distribution

.1 .2 .3 .4 .5 .6 Cell Mean 08h9h 10h11h 11h12h 12h13h 13h14h 14h15h 15h16h 16h17h 17h18h 17h18h 18h19h 20h21h 21h22h 4h6h 4h6h 5h7h 7h09h 7h8h 8h10h 8h9h 9h10h Cell Interaction Bar Plot for Lmfilet10mm(kg) E ffect: heure peche E rror Bars: ± 1 Standard E rror(s)

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  • IV. Partial Results/Distribution
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  • IV. Preliminary Results/Economic input
  • f L. tanganicanus in Lake Kivu
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  • IV. Preliminary Results/Economic input
  • f L. tanganicanus in Lake Kivu

comparaison de la capture en obscure et lunaire

50 100 150 200 250 300 350 400 Limnothrissa miodon Lamprichthys tanganicanus Haplochromis spp Obscure Lunaire

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  • IV. Preliminary Results/Morphometry
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  • IV. Preliminary Results/Morphometry
  • 0.8
  • 0.6
  • 0.4
  • 0.2

0.2 0.4 0.6 0.8 Component 1

  • 0.4
  • 0.32
  • 0.24
  • 0.16
  • 0.08

0.08 0.16 0.24 0.32 Component 2

Male of Kivu: blue spot, n=29 Male of Tang: Red spot, n=24 Female of Kivu: Green spots, n= 19 Females of Tang: Violet spots, n= 21

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Preliminary Results/Morphometry

 Morphemetric characteristics of Lt, Unisexual PCA

plot of Log-transformed value for males

Males from LK, n=29: filled square Males from LT, n=24: empty square

  • 0.48
  • 0.36
  • 0.24
  • 0.12
0.12 0.24 0.36 0.48 0.6 Component 1
  • 0.16
  • 0.08
0.08 0.16 0.24 0.32 0.4 0.48 Component 2
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Preliminary Results/Morphometry

 Morphemetric characteristics of Lt, Unisexual PCA

plot of Log-transformed values for females

Females from LK, n=19: filled square Females from LT, n=21: empty square

  • 0.6
  • 0.5
  • 0.4
  • 0.3
  • 0.2
  • 0.1
0.1 0.2 0.3 0.4 Component 1
  • 0.2
  • 0.16
  • 0.12
  • 0.08
  • 0.04
0.04 0.08 0.12 0.16 Component 2
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Preliminary Results: Diet

 Comparison of numeric Index in both Lakes

0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00 90.00 LT AbI% LK AbI%

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Preliminary Results: Diet

 Comparison of Occurrence Index in both Lakes

10 20 30 40 50 60 70 80 Oc-I% Kivu, n=120 Oc-I %Tang n=116

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Preliminary Results: Diet

Variation of insects feeding within sampling sites and sex

20 40 60 80 100 120 Cell Mean for insect% bralima crh est agrico kalundu kamongola karamba kashekezi kazimia kivovo mbabara pelagique port israel port trafca rafiki ruganda shegeshi M F Cell Bar Chart Grouping Variable(s): site Split By: sexe Error Bars: ± 1 Standard Error(s)

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Preliminary Results: Diet

Variation of scales feeding within sampling sites and sex

10 20 30 40 50 60 Cell Mean for Ecailles% bralima crh est agrico kalundu kamongola karamba kashekezi kazimia kivovo mbabara pelagique port israel port trafca rafiki ruganda shegeshi M F Cell Bar Chart Grouping Variable(s): site Split By: sexe E rror Bars: ± 1 Standard E rror(s)

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Preliminary Results: Reproductive Strategies

Regression plot Standard Length vs. Body weight, n=120 Regression plot Standard Length vs. Body weight, n=120

Lake Kivu Lake Tanganyika

.4 .5 .6 .7 .8 .9 1 1.1 1.2 1.3 1.4 logPoids 1.75 1.8 1.85 1.9 1.95 2 2.05 LogLS Y = -4.812 + 3 * X; R^2 = .944 Inclusion criteria: Criteria 6 from Lac Kivu.xls (imported).svd

  • .2

.2 .4 .6 .8 1 1.2 1.4 1.6 logPoids 1.6 1.65 1.7 1.75 1.8 1.85 1.9 1.95 2 2.05 2.1 LogLS Y = -4.996 + 3.099 * X; R^2 = .952

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Preliminary Results: Reproductive Strategies

Linear Regression for males (SL vs Body weight Linear Regression for males (SL vs Body weight

Lake Kivu Lake Tanganyika

1.62 1.68 1.74 1.8 1.86 1.92 1.98 2.04 2.1 SL

  • 0.9
  • 0.6
  • 0.3

0.3 0.6 0.9 1.2 1.5 1.8 B.W 1.76 1.8 1.84 1.88 1.92 1.96 2 2.04 SL 0.48 0.6 0.72 0.84 0.96 1.08 1.2 1.32 B.W

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Preliminary Results: Reproductive Strategies

Linear Regression for females (SL vs Body weight, n=61 Linear Regression for females (SL vs Body weight, n=37

Lake Kivu Lake Tanganyika

1.75 1.775 1.8 1.825 1.85 1.875 1.9 1.925 1.95 SL 0.32 0.4 0.48 0.56 0.64 0.72 0.8 0.88 0.96 1.04 B.W 1.792 1.808 1.824 1.84 1.856 1.872 1.888 SL 0.52 0.56 0.6 0.64 0.68 0.72 0.76 0.8 0.84 B.W

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Preliminary Results: Reproductive Strategies

Lac Stade de maturité Nombre Pourcentage Tanganyika 2 3985 73,9 3 1111 20,6 4 297 5,5 Kivu 2 5998 65,7 3 2150 23,5 4 989 10,8

n

Frequency of female Gonad maturity stage Evolution of female gonad maturing

10 20 30 40 50 60 70 80 St2 St3 St4 Tanganyika Kivu

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Preliminary Results: Reproductive Strategies

Lac moyenne écart-type n min max Tanganyika 145,7 42,6 37 62 242 Kivu 148,9 44,6 61 54 255

K=56.84mm; Tang=61.25mm

Absolute Fecundity Size at first maturity

10 20 30 40 50 60 70 80 90 100 SLMin#3/4 SLMax#3/4 Kivu n=61 Tanganyika, n=37

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Preliminary Results: Reproductive Strategies

Variation of GSI within Lakes and Period of sampling

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  • V. Further Research activities

 Data analyses for Diet and Reproduction strategies

  • f L. tanganicanus (continued)

 Mophometric measurements to include samples from

  • ther localities (Tanzania, Zambia) and geo-

morphemetric approach!

 Molecular analyses of samples from many localities

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