Identification of two cryptic Baltic Sea flounder species using otolith shape analysis

Itämeri on haastava elinympäristö eliölajeille. Sen syntyhistoria ja nykyiset olosuhteet vaikeuttavat lajien levittäytymistä alueelle ja toisaalta aiheuttavat sopeutumista, jopa lajiutumista. Itämeressä on havaittu uusi endeeminen kampelalaji, Itämeren kampela, jota ei voida erottaa kampelasta ulkoi...

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Bibliografiset tiedot
Päätekijä: Koivunen, Henna
Muut tekijät: Matemaattis-luonnontieteellinen tiedekunta, Faculty of Sciences, Bio- ja ympäristötieteiden laitos, Department of Biological and Environmental Science, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2023
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/88141
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author Koivunen, Henna
author2 Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Bio- ja ympäristötieteiden laitos Department of Biological and Environmental Science Jyväskylän yliopisto University of Jyväskylä
author_facet Koivunen, Henna Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Bio- ja ympäristötieteiden laitos Department of Biological and Environmental Science Jyväskylän yliopisto University of Jyväskylä Koivunen, Henna Matemaattis-luonnontieteellinen tiedekunta Faculty of Sciences Bio- ja ympäristötieteiden laitos Department of Biological and Environmental Science Jyväskylän yliopisto University of Jyväskylä
author_sort Koivunen, Henna
datasource_str_mv jyx
description Itämeri on haastava elinympäristö eliölajeille. Sen syntyhistoria ja nykyiset olosuhteet vaikeuttavat lajien levittäytymistä alueelle ja toisaalta aiheuttavat sopeutumista, jopa lajiutumista. Itämeressä on havaittu uusi endeeminen kampelalaji, Itämeren kampela, jota ei voida erottaa kampelasta ulkoisten ominaisuuksien perusteella. Sopivan tunnistusmenetelmän löytäminen on tärkeää sekä luonnonsuojelun että kalatalouden tarpeisiin. Tässä työssä tutkittiin onko Itämeressä esiintyvien kryptisten kampelalajien otoliittien ääriviiojen muodossa eroja ja arvioitiin onko otoliitin ääriviivan muotoon perustuvua muotoanalyysi lajeille sopiva tunnistusmenetelmä. Lisäksi tutkittiin erottaako menetelmä Pulmankijärvessä esiintyvät kampelat Itämeren sukulaisistaan. Menetelmänä käytettiin R- tilasto-ohjelmiston shapeR- pakettia. Tutkimusta varten geneettisin menetelmin tunnistettujen kampeloiden otoliitit kuvattiin ja saadulle aineistolle suoritettiin muotoanalyysi Wavelet ja Fourier menetelmillä shapeR- pakettia käyttäen. Klusterianalyysillä ja lineaarisella erottelevalla analyysillä arvioitiin, kuinka hyvin eri lajien ja populaatioiden yksilöt voidaan tunnistaa ja lisäksi ANOVA:lla tutkittiin otoliiteista kerättyjä muoto muuttujia. Otoliitin koko muuttujat eivät eronneet tilastollisesti merkittävästi lajien välillä, otoliitin eri puolien välillä tai saman yksilön vasemman ja oikean otoliitin välillä. Kun kaikkia ryhmiä tutkittiin samaan aikaan, otoliitin ääriviivan muodossa oli ryhmien välillä tilastollisesti merkitseviä eroja. Tunnistusprosentti kaikkien tutkittujen ryhmien välillä lineaarista erottelevaa analyysiä käyttäen oli 74%. Vaikka tunnistusprosentti oli varsin hyvä (77 %) Itämerestä pyydettyjen lajien välillä, otoliittien ääriviivojen muodossa ei ollut tilastollisesti merkittäviä eroja standardoituja Wavelet tai Fourier kertoimia käytettäessä. Korkein saatu tunnistusprosentti Itämeren ja Pulmankijärven kampeloiden välillä oli 65% ja Itämeren kampelan ja Pulmankijärvestä pyydetyn kampelan välillä 90%. Vaikka tunnistusprosentit olivat korkeita, ryhmien tunnistusmenestyksen tarkempi tarkastelu osoitti, että korkea kokonaistunnistusprosentti perustuu menetelmän kykyyn tunnistaa lähes kaikki Itämeren kampela yksilöt oikein ja muut ryhmät heikosti. Otoliittien ääriviivan muoto analyysi ei siis ole luotettava tunnistusmenetelmä tutkituille lajeille. Jatkossa on syytä tutkia voidaanko muotoanalyysin tunnistusastetta parantaa. The Baltic Sea is a challenging environment for species. Its formation history and current state cause adaptations and even drive speciation. A new endemic flounder species, the Baltic flounder, has been found in the Baltic Sea and new information about its ecology is needed for species conservation and fisheries management purposes. The aim of this study was to examine whether there are differences in otolith shape between European flounder and Baltic flounder and evaluate whether otolith shape analysis can be used to identify these two flounder species. Additionally, it was studied whether shape analysis can recognize a separate population of European flounder from Lake Pulmankijärvi, Northern Lapland. Formerly collected, already identified, otolith samples were used in this study. Otoliths were photographed, and images were analyzed with statistical software R’ shapeR package. Analyses included Wavelet and Fourier reconstructions of otolith outlines, ANOVA like permutation test for correspondence analysis, cluster analysis and linear discriminant analysis. Additionally, ANOVA was used to study collected otolith size variables. Otolith size variables did not differ statistically significantly between species, between left and right otolith or between different sides of an otolith. There were statistically significant differences in otolith outline shape when all groups were studied together. The highest total classification rate between all groups was 74%. The total classification rate between European flounder from Baltic Sea and Baltic flounder was 77%, but there were no statistically significant differences in otolith outline shape either with standard Wavelet or Fourier coefficients. The total classification rate between European flounder samples from the Baltic Sea and Lake Pulmankijärvi was 65%, and between European flounder from the Lake Pulmankijärvi and the Baltic flounder 90%. However, when classification success was studied for each group, the method could classify most of the Baltic flounder samples correctly, while other groups it classified poorly. Outline shape analysis of otoliths is therefore not a reliable identification method for the studied species. Future studies should examine if the classification rate of shape analysis could be improved.
first_indexed 2023-06-30T20:00:30Z
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Sen syntyhistoria ja nykyiset olosuhteet vaikeuttavat lajien levitt\u00e4ytymist\u00e4 alueelle ja toisaalta aiheuttavat sopeutumista, jopa lajiutumista. It\u00e4meress\u00e4 on havaittu uusi endeeminen kampelalaji, It\u00e4meren kampela, jota ei voida erottaa kampelasta ulkoisten ominaisuuksien perusteella. Sopivan tunnistusmenetelm\u00e4n l\u00f6yt\u00e4minen on t\u00e4rke\u00e4\u00e4 sek\u00e4 luonnonsuojelun ett\u00e4 kalatalouden tarpeisiin. T\u00e4ss\u00e4 ty\u00f6ss\u00e4 tutkittiin onko It\u00e4meress\u00e4 esiintyvien kryptisten kampelalajien otoliittien \u00e4\u00e4riviiojen muodossa eroja ja arvioitiin onko otoliitin \u00e4\u00e4riviivan muotoon perustuvua muotoanalyysi lajeille sopiva tunnistusmenetelm\u00e4. Lis\u00e4ksi tutkittiin erottaako menetelm\u00e4 Pulmankij\u00e4rvess\u00e4 esiintyv\u00e4t kampelat It\u00e4meren sukulaisistaan. Menetelm\u00e4n\u00e4 k\u00e4ytettiin R- tilasto-ohjelmiston shapeR- pakettia. Tutkimusta varten geneettisin menetelmin tunnistettujen kampeloiden otoliitit kuvattiin ja saadulle aineistolle suoritettiin muotoanalyysi Wavelet ja Fourier menetelmill\u00e4 shapeR- pakettia k\u00e4ytt\u00e4en. Klusterianalyysill\u00e4 ja lineaarisella erottelevalla analyysill\u00e4 arvioitiin, kuinka hyvin eri lajien ja populaatioiden yksil\u00f6t voidaan tunnistaa ja lis\u00e4ksi ANOVA:lla tutkittiin otoliiteista ker\u00e4ttyj\u00e4 muoto muuttujia. Otoliitin koko muuttujat eiv\u00e4t eronneet tilastollisesti merkitt\u00e4v\u00e4sti lajien v\u00e4lill\u00e4, otoliitin eri puolien v\u00e4lill\u00e4 tai saman yksil\u00f6n vasemman ja oikean otoliitin v\u00e4lill\u00e4. Kun kaikkia ryhmi\u00e4 tutkittiin samaan aikaan, otoliitin \u00e4\u00e4riviivan muodossa oli ryhmien v\u00e4lill\u00e4 tilastollisesti merkitsevi\u00e4 eroja. Tunnistusprosentti kaikkien tutkittujen ryhmien v\u00e4lill\u00e4 lineaarista erottelevaa analyysi\u00e4 k\u00e4ytt\u00e4en oli 74%. 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The total classification rate between European flounder from Baltic Sea and Baltic flounder was 77%, but there were no statistically significant differences in otolith outline shape either with standard Wavelet or Fourier coefficients. The total classification rate between European flounder samples from the Baltic Sea and Lake Pulmankij\u00e4rvi was 65%, and between European flounder from the Lake Pulmankij\u00e4rvi and the Baltic flounder 90%. However, when classification success was studied for each group, the method could classify most of the Baltic flounder samples correctly, while other groups it classified poorly. Outline shape analysis of otoliths is therefore not a reliable identification method for the studied species. 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spellingShingle Koivunen, Henna Identification of two cryptic Baltic Sea flounder species using otolith shape analysis Itämeri shapeR P. solemdali P. flesus Akvaattiset tieteet Aquatic sciences 4012 kampela flounder
title Identification of two cryptic Baltic Sea flounder species using otolith shape analysis
title_full Identification of two cryptic Baltic Sea flounder species using otolith shape analysis
title_fullStr Identification of two cryptic Baltic Sea flounder species using otolith shape analysis Identification of two cryptic Baltic Sea flounder species using otolith shape analysis
title_full_unstemmed Identification of two cryptic Baltic Sea flounder species using otolith shape analysis Identification of two cryptic Baltic Sea flounder species using otolith shape analysis
title_short Identification of two cryptic Baltic Sea flounder species using otolith shape analysis
title_sort identification of two cryptic baltic sea flounder species using otolith shape analysis
title_txtP Identification of two cryptic Baltic Sea flounder species using otolith shape analysis
topic Itämeri shapeR P. solemdali P. flesus Akvaattiset tieteet Aquatic sciences 4012 kampela flounder
topic_facet 4012 Akvaattiset tieteet Aquatic sciences Itämeri P. flesus P. solemdali flounder kampela shapeR
url https://jyx.jyu.fi/handle/123456789/88141 http://www.urn.fi/URN:NBN:fi:jyu-202306304287
work_keys_str_mv AT koivunenhenna identificationoftwocrypticbalticseaflounderspeciesusingotolithshapeanalysis