Reproduction is adapted to survival characteristics across geographically isolated medfly populations
We propose the hypothesis that individual longitudinal trajectories of fertility are closely coupled to varying survival schedules across geographically isolated populations of the same species, in such a way that peak reproduction takes place before substantial increases in mortality are observed....
Gespeichert in:
Veröffentlicht in: | Proceedings of the Royal Society. B, Biological sciences Biological sciences, 2009-12, Vol.276 (1677), p.4409-4416 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4416 |
---|---|
container_issue | 1677 |
container_start_page | 4409 |
container_title | Proceedings of the Royal Society. B, Biological sciences |
container_volume | 276 |
creator | Müller, Hans-Georg Wu, Shuang Diamantidis, Alexandros D. Papadopoulos, Nikos T. Carey, James R. |
description | We propose the hypothesis that individual longitudinal trajectories of fertility are closely coupled to varying survival schedules across geographically isolated populations of the same species, in such a way that peak reproduction takes place before substantial increases in mortality are observed. This reproductive adaptation hypothesis is investigated for medflies through a statistical analysis of biodemographic data that were obtained for female medflies from six geographically far apart regions. The following results support the hypothesis: (i) both survival and reproductive schedules differ substantially between these populations, where early peaks and subsequently fast declining reproduction are observed for short-lived and protracted reproductive schedules for long-lived flies; (ii) when statistically adjusting reproduction for the observed differences in survival, the differences in reproductive schedules largely vanish, and thus the observed differences in fertility across the populations can be explained by differences in population-specific longevity; and (iii) specific survival patterns of the medflies belonging to a specific population predict the individual reproductive schedule for the flies in this population. The analysis is based on innovative statistical tools from functional data analysis. Our findings are consistent with an adaptive mechanism whereby trajectories of fertility evolve in response to specific constraints inherent in the population survival schedules. |
doi_str_mv | 10.1098/rspb.2009.1461 |
format | Article |
fullrecord | <record><control><sourceid>jstor_pubme</sourceid><recordid>TN_cdi_jstor_primary_40506075</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>40506075</jstor_id><sourcerecordid>40506075</sourcerecordid><originalsourceid>FETCH-LOGICAL-c624t-8e2a413e889948dc98f004553d04acf1e50f240b6fb255b72078c5d293f716993</originalsourceid><addsrcrecordid>eNp9kUuP0zAUhSMEYsrAlh0oK1il2I6fGzRoBANoJB6CYWk5jtO6pHGwk0L_PTekKnTBrKKb-53jY58se4zREiMlX8TUV0uCkFpiyvGdbIGpwAVRjN7NFkhxUkjKyFn2IKUNAoxJdj87w0qoUjCyyNxn18dQj3bwoct9yk1t-sHV-RDyNMad35k2t2sTjR1c9GnwFhgbQ0r5yoVVNP3aW9O2exCH1kzSrasbmPvQj_ADfNPD7F5j2uQeHb7n2dc3r79cvi2uP1y9u3x1XVhO6FBIRwzFpZNSKSprq2SDEGWsrBE1tsGOoYZQVPGmIoxVgiAhLauJKhuBuVLlefZy9u3HClJY1w3RtLqPfmviXgfj9emm82u9CjtNJBYYczB4fjCI4cfo0qC3PlnXtqZzYUxalJCPEc6AfHYrSTChWPESwOUM_nm06JpjHIz01KGeOtRTh3rqEARP_73EX_xQGgDlDMSwh9cM1rthrzdhjB2M_7d9Mqs2aQjx6EoRQxyJ6ULFvIeS3a_j3sTvmgs4V99Iqj9y-v7b1c0njYAnM7_2q_VPH50-iQNDHxMEEFxjLoSmFE0FXdwqmiLb0A1Qz6lSN2MLRdZN-Rt4t-5V</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>21241963</pqid></control><display><type>article</type><title>Reproduction is adapted to survival characteristics across geographically isolated medfly populations</title><source>Jstor Complete Legacy</source><source>MEDLINE</source><source>PubMed Central</source><creator>Müller, Hans-Georg ; Wu, Shuang ; Diamantidis, Alexandros D. ; Papadopoulos, Nikos T. ; Carey, James R.</creator><creatorcontrib>Müller, Hans-Georg ; Wu, Shuang ; Diamantidis, Alexandros D. ; Papadopoulos, Nikos T. ; Carey, James R.</creatorcontrib><description>We propose the hypothesis that individual longitudinal trajectories of fertility are closely coupled to varying survival schedules across geographically isolated populations of the same species, in such a way that peak reproduction takes place before substantial increases in mortality are observed. This reproductive adaptation hypothesis is investigated for medflies through a statistical analysis of biodemographic data that were obtained for female medflies from six geographically far apart regions. The following results support the hypothesis: (i) both survival and reproductive schedules differ substantially between these populations, where early peaks and subsequently fast declining reproduction are observed for short-lived and protracted reproductive schedules for long-lived flies; (ii) when statistically adjusting reproduction for the observed differences in survival, the differences in reproductive schedules largely vanish, and thus the observed differences in fertility across the populations can be explained by differences in population-specific longevity; and (iii) specific survival patterns of the medflies belonging to a specific population predict the individual reproductive schedule for the flies in this population. The analysis is based on innovative statistical tools from functional data analysis. Our findings are consistent with an adaptive mechanism whereby trajectories of fertility evolve in response to specific constraints inherent in the population survival schedules.</description><identifier>ISSN: 0962-8452</identifier><identifier>EISSN: 1471-2954</identifier><identifier>EISSN: 1471-2945</identifier><identifier>DOI: 10.1098/rspb.2009.1461</identifier><identifier>PMID: 19793752</identifier><language>eng</language><publisher>England: The Royal Society</publisher><subject>Adaptation, Biological - physiology ; Analysis of Variance ; Animals ; Biodemography ; Ceratitis capitata ; Ceratitis capitata - physiology ; Data analysis ; Egg fertility ; Eggs ; Eigenfunctions ; Female ; Fertility ; Fertility - physiology ; Functional Data Analysis ; Functional Regression ; Geography ; Insect reproduction ; Isolated Populations ; Linear Models ; Longevity ; Longevity - physiology ; Materials ; Medfly ; Models, Biological ; Mortality ; Population growth ; Principal Component Analysis ; Trajectories</subject><ispartof>Proceedings of the Royal Society. B, Biological sciences, 2009-12, Vol.276 (1677), p.4409-4416</ispartof><rights>Copyright 2009 The Royal Society</rights><rights>2009 The Royal Society</rights><rights>2009 The Royal Society 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c624t-8e2a413e889948dc98f004553d04acf1e50f240b6fb255b72078c5d293f716993</citedby><cites>FETCH-LOGICAL-c624t-8e2a413e889948dc98f004553d04acf1e50f240b6fb255b72078c5d293f716993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40506075$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40506075$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,723,776,780,799,881,27901,27902,53766,53768,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19793752$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Müller, Hans-Georg</creatorcontrib><creatorcontrib>Wu, Shuang</creatorcontrib><creatorcontrib>Diamantidis, Alexandros D.</creatorcontrib><creatorcontrib>Papadopoulos, Nikos T.</creatorcontrib><creatorcontrib>Carey, James R.</creatorcontrib><title>Reproduction is adapted to survival characteristics across geographically isolated medfly populations</title><title>Proceedings of the Royal Society. B, Biological sciences</title><addtitle>Proc. R. Soc. B</addtitle><addtitle>Proc. R. Soc. B</addtitle><description>We propose the hypothesis that individual longitudinal trajectories of fertility are closely coupled to varying survival schedules across geographically isolated populations of the same species, in such a way that peak reproduction takes place before substantial increases in mortality are observed. This reproductive adaptation hypothesis is investigated for medflies through a statistical analysis of biodemographic data that were obtained for female medflies from six geographically far apart regions. The following results support the hypothesis: (i) both survival and reproductive schedules differ substantially between these populations, where early peaks and subsequently fast declining reproduction are observed for short-lived and protracted reproductive schedules for long-lived flies; (ii) when statistically adjusting reproduction for the observed differences in survival, the differences in reproductive schedules largely vanish, and thus the observed differences in fertility across the populations can be explained by differences in population-specific longevity; and (iii) specific survival patterns of the medflies belonging to a specific population predict the individual reproductive schedule for the flies in this population. The analysis is based on innovative statistical tools from functional data analysis. Our findings are consistent with an adaptive mechanism whereby trajectories of fertility evolve in response to specific constraints inherent in the population survival schedules.</description><subject>Adaptation, Biological - physiology</subject><subject>Analysis of Variance</subject><subject>Animals</subject><subject>Biodemography</subject><subject>Ceratitis capitata</subject><subject>Ceratitis capitata - physiology</subject><subject>Data analysis</subject><subject>Egg fertility</subject><subject>Eggs</subject><subject>Eigenfunctions</subject><subject>Female</subject><subject>Fertility</subject><subject>Fertility - physiology</subject><subject>Functional Data Analysis</subject><subject>Functional Regression</subject><subject>Geography</subject><subject>Insect reproduction</subject><subject>Isolated Populations</subject><subject>Linear Models</subject><subject>Longevity</subject><subject>Longevity - physiology</subject><subject>Materials</subject><subject>Medfly</subject><subject>Models, Biological</subject><subject>Mortality</subject><subject>Population growth</subject><subject>Principal Component Analysis</subject><subject>Trajectories</subject><issn>0962-8452</issn><issn>1471-2954</issn><issn>1471-2945</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUuP0zAUhSMEYsrAlh0oK1il2I6fGzRoBANoJB6CYWk5jtO6pHGwk0L_PTekKnTBrKKb-53jY58se4zREiMlX8TUV0uCkFpiyvGdbIGpwAVRjN7NFkhxUkjKyFn2IKUNAoxJdj87w0qoUjCyyNxn18dQj3bwoct9yk1t-sHV-RDyNMad35k2t2sTjR1c9GnwFhgbQ0r5yoVVNP3aW9O2exCH1kzSrasbmPvQj_ADfNPD7F5j2uQeHb7n2dc3r79cvi2uP1y9u3x1XVhO6FBIRwzFpZNSKSprq2SDEGWsrBE1tsGOoYZQVPGmIoxVgiAhLauJKhuBuVLlefZy9u3HClJY1w3RtLqPfmviXgfj9emm82u9CjtNJBYYczB4fjCI4cfo0qC3PlnXtqZzYUxalJCPEc6AfHYrSTChWPESwOUM_nm06JpjHIz01KGeOtRTh3rqEARP_73EX_xQGgDlDMSwh9cM1rthrzdhjB2M_7d9Mqs2aQjx6EoRQxyJ6ULFvIeS3a_j3sTvmgs4V99Iqj9y-v7b1c0njYAnM7_2q_VPH50-iQNDHxMEEFxjLoSmFE0FXdwqmiLb0A1Qz6lSN2MLRdZN-Rt4t-5V</recordid><startdate>20091222</startdate><enddate>20091222</enddate><creator>Müller, Hans-Georg</creator><creator>Wu, Shuang</creator><creator>Diamantidis, Alexandros D.</creator><creator>Papadopoulos, Nikos T.</creator><creator>Carey, James R.</creator><general>The Royal Society</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>C1K</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20091222</creationdate><title>Reproduction is adapted to survival characteristics across geographically isolated medfly populations</title><author>Müller, Hans-Georg ; Wu, Shuang ; Diamantidis, Alexandros D. ; Papadopoulos, Nikos T. ; Carey, James R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c624t-8e2a413e889948dc98f004553d04acf1e50f240b6fb255b72078c5d293f716993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adaptation, Biological - physiology</topic><topic>Analysis of Variance</topic><topic>Animals</topic><topic>Biodemography</topic><topic>Ceratitis capitata</topic><topic>Ceratitis capitata - physiology</topic><topic>Data analysis</topic><topic>Egg fertility</topic><topic>Eggs</topic><topic>Eigenfunctions</topic><topic>Female</topic><topic>Fertility</topic><topic>Fertility - physiology</topic><topic>Functional Data Analysis</topic><topic>Functional Regression</topic><topic>Geography</topic><topic>Insect reproduction</topic><topic>Isolated Populations</topic><topic>Linear Models</topic><topic>Longevity</topic><topic>Longevity - physiology</topic><topic>Materials</topic><topic>Medfly</topic><topic>Models, Biological</topic><topic>Mortality</topic><topic>Population growth</topic><topic>Principal Component Analysis</topic><topic>Trajectories</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Müller, Hans-Georg</creatorcontrib><creatorcontrib>Wu, Shuang</creatorcontrib><creatorcontrib>Diamantidis, Alexandros D.</creatorcontrib><creatorcontrib>Papadopoulos, Nikos T.</creatorcontrib><creatorcontrib>Carey, James R.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the Royal Society. B, Biological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Müller, Hans-Georg</au><au>Wu, Shuang</au><au>Diamantidis, Alexandros D.</au><au>Papadopoulos, Nikos T.</au><au>Carey, James R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reproduction is adapted to survival characteristics across geographically isolated medfly populations</atitle><jtitle>Proceedings of the Royal Society. B, Biological sciences</jtitle><stitle>Proc. R. Soc. B</stitle><addtitle>Proc. R. Soc. B</addtitle><date>2009-12-22</date><risdate>2009</risdate><volume>276</volume><issue>1677</issue><spage>4409</spage><epage>4416</epage><pages>4409-4416</pages><issn>0962-8452</issn><eissn>1471-2954</eissn><eissn>1471-2945</eissn><abstract>We propose the hypothesis that individual longitudinal trajectories of fertility are closely coupled to varying survival schedules across geographically isolated populations of the same species, in such a way that peak reproduction takes place before substantial increases in mortality are observed. This reproductive adaptation hypothesis is investigated for medflies through a statistical analysis of biodemographic data that were obtained for female medflies from six geographically far apart regions. The following results support the hypothesis: (i) both survival and reproductive schedules differ substantially between these populations, where early peaks and subsequently fast declining reproduction are observed for short-lived and protracted reproductive schedules for long-lived flies; (ii) when statistically adjusting reproduction for the observed differences in survival, the differences in reproductive schedules largely vanish, and thus the observed differences in fertility across the populations can be explained by differences in population-specific longevity; and (iii) specific survival patterns of the medflies belonging to a specific population predict the individual reproductive schedule for the flies in this population. The analysis is based on innovative statistical tools from functional data analysis. Our findings are consistent with an adaptive mechanism whereby trajectories of fertility evolve in response to specific constraints inherent in the population survival schedules.</abstract><cop>England</cop><pub>The Royal Society</pub><pmid>19793752</pmid><doi>10.1098/rspb.2009.1461</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0962-8452 |
ispartof | Proceedings of the Royal Society. B, Biological sciences, 2009-12, Vol.276 (1677), p.4409-4416 |
issn | 0962-8452 1471-2954 1471-2945 |
language | eng |
recordid | cdi_jstor_primary_40506075 |
source | Jstor Complete Legacy; MEDLINE; PubMed Central |
subjects | Adaptation, Biological - physiology Analysis of Variance Animals Biodemography Ceratitis capitata Ceratitis capitata - physiology Data analysis Egg fertility Eggs Eigenfunctions Female Fertility Fertility - physiology Functional Data Analysis Functional Regression Geography Insect reproduction Isolated Populations Linear Models Longevity Longevity - physiology Materials Medfly Models, Biological Mortality Population growth Principal Component Analysis Trajectories |
title | Reproduction is adapted to survival characteristics across geographically isolated medfly populations |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T08%3A55%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reproduction%20is%20adapted%20to%20survival%20characteristics%20across%20geographically%20isolated%20medfly%20populations&rft.jtitle=Proceedings%20of%20the%20Royal%20Society.%20B,%20Biological%20sciences&rft.au=M%C3%BCller,%20Hans-Georg&rft.date=2009-12-22&rft.volume=276&rft.issue=1677&rft.spage=4409&rft.epage=4416&rft.pages=4409-4416&rft.issn=0962-8452&rft.eissn=1471-2954&rft_id=info:doi/10.1098/rspb.2009.1461&rft_dat=%3Cjstor_pubme%3E40506075%3C/jstor_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=21241963&rft_id=info:pmid/19793752&rft_jstor_id=40506075&rfr_iscdi=true |