Haploids, polymorphisms and fluctuating selection
I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispe...
Ausführliche Beschreibung
Autor*in: |
Dean, Antony M. [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2018transfer abstract |
---|
Schlagwörter: |
---|
Umfang: |
15 |
---|
Übergeordnetes Werk: |
Enthalten in: Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus - Jääskeläinen, Anne J. ELSEVIER, 2015, TPB : an interdisciplinary journal, Orlando, Fla |
---|---|
Übergeordnetes Werk: |
volume:124 ; year:2018 ; pages:16-30 ; extent:15 |
Links: |
---|
DOI / URN: |
10.1016/j.tpb.2018.07.003 |
---|
Katalog-ID: |
ELV045072841 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV045072841 | ||
003 | DE-627 | ||
005 | 20230626010417.0 | ||
007 | cr uuu---uuuuu | ||
008 | 190205s2018 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.tpb.2018.07.003 |2 doi | |
028 | 5 | 2 | |a GBV00000000000439.pica |
035 | |a (DE-627)ELV045072841 | ||
035 | |a (ELSEVIER)S0040-5809(18)30140-0 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 610 |q VZ |
082 | 0 | 4 | |a 616.019405 |q VZ |
082 | 0 | 4 | |a 610 |q VZ |
084 | |a 44.45 |2 bkl | ||
100 | 1 | |a Dean, Antony M. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Haploids, polymorphisms and fluctuating selection |
264 | 1 | |c 2018transfer abstract | |
300 | |a 15 | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. | ||
520 | |a I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. | ||
650 | 7 | |a Diffusion approximation |2 Elsevier | |
650 | 7 | |a Fluctuating selection |2 Elsevier | |
650 | 7 | |a Genic selection |2 Elsevier | |
650 | 7 | |a Haploid/clonal polymorphism |2 Elsevier | |
773 | 0 | 8 | |i Enthalten in |n Academic Press |a Jääskeläinen, Anne J. ELSEVIER |t Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus |d 2015 |d TPB : an interdisciplinary journal |g Orlando, Fla |w (DE-627)ELV01821438X |
773 | 1 | 8 | |g volume:124 |g year:2018 |g pages:16-30 |g extent:15 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.tpb.2018.07.003 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a SSG-OLC-PHA | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_40 | ||
936 | b | k | |a 44.45 |j Immunologie |q VZ |
951 | |a AR | ||
952 | |d 124 |j 2018 |h 16-30 |g 15 |
author_variant |
a m d am amd |
---|---|
matchkey_str |
deanantonym:2018----:alisoyopimadlcut |
hierarchy_sort_str |
2018transfer abstract |
bklnumber |
44.45 |
publishDate |
2018 |
allfields |
10.1016/j.tpb.2018.07.003 doi GBV00000000000439.pica (DE-627)ELV045072841 (ELSEVIER)S0040-5809(18)30140-0 DE-627 ger DE-627 rakwb eng 610 VZ 616.019405 VZ 610 VZ 44.45 bkl Dean, Antony M. verfasserin aut Haploids, polymorphisms and fluctuating selection 2018transfer abstract 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism Elsevier Enthalten in Academic Press Jääskeläinen, Anne J. ELSEVIER Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus 2015 TPB : an interdisciplinary journal Orlando, Fla (DE-627)ELV01821438X volume:124 year:2018 pages:16-30 extent:15 https://doi.org/10.1016/j.tpb.2018.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_40 44.45 Immunologie VZ AR 124 2018 16-30 15 |
spelling |
10.1016/j.tpb.2018.07.003 doi GBV00000000000439.pica (DE-627)ELV045072841 (ELSEVIER)S0040-5809(18)30140-0 DE-627 ger DE-627 rakwb eng 610 VZ 616.019405 VZ 610 VZ 44.45 bkl Dean, Antony M. verfasserin aut Haploids, polymorphisms and fluctuating selection 2018transfer abstract 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism Elsevier Enthalten in Academic Press Jääskeläinen, Anne J. ELSEVIER Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus 2015 TPB : an interdisciplinary journal Orlando, Fla (DE-627)ELV01821438X volume:124 year:2018 pages:16-30 extent:15 https://doi.org/10.1016/j.tpb.2018.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_40 44.45 Immunologie VZ AR 124 2018 16-30 15 |
allfields_unstemmed |
10.1016/j.tpb.2018.07.003 doi GBV00000000000439.pica (DE-627)ELV045072841 (ELSEVIER)S0040-5809(18)30140-0 DE-627 ger DE-627 rakwb eng 610 VZ 616.019405 VZ 610 VZ 44.45 bkl Dean, Antony M. verfasserin aut Haploids, polymorphisms and fluctuating selection 2018transfer abstract 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism Elsevier Enthalten in Academic Press Jääskeläinen, Anne J. ELSEVIER Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus 2015 TPB : an interdisciplinary journal Orlando, Fla (DE-627)ELV01821438X volume:124 year:2018 pages:16-30 extent:15 https://doi.org/10.1016/j.tpb.2018.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_40 44.45 Immunologie VZ AR 124 2018 16-30 15 |
allfieldsGer |
10.1016/j.tpb.2018.07.003 doi GBV00000000000439.pica (DE-627)ELV045072841 (ELSEVIER)S0040-5809(18)30140-0 DE-627 ger DE-627 rakwb eng 610 VZ 616.019405 VZ 610 VZ 44.45 bkl Dean, Antony M. verfasserin aut Haploids, polymorphisms and fluctuating selection 2018transfer abstract 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism Elsevier Enthalten in Academic Press Jääskeläinen, Anne J. ELSEVIER Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus 2015 TPB : an interdisciplinary journal Orlando, Fla (DE-627)ELV01821438X volume:124 year:2018 pages:16-30 extent:15 https://doi.org/10.1016/j.tpb.2018.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_40 44.45 Immunologie VZ AR 124 2018 16-30 15 |
allfieldsSound |
10.1016/j.tpb.2018.07.003 doi GBV00000000000439.pica (DE-627)ELV045072841 (ELSEVIER)S0040-5809(18)30140-0 DE-627 ger DE-627 rakwb eng 610 VZ 616.019405 VZ 610 VZ 44.45 bkl Dean, Antony M. verfasserin aut Haploids, polymorphisms and fluctuating selection 2018transfer abstract 15 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism Elsevier Enthalten in Academic Press Jääskeläinen, Anne J. ELSEVIER Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus 2015 TPB : an interdisciplinary journal Orlando, Fla (DE-627)ELV01821438X volume:124 year:2018 pages:16-30 extent:15 https://doi.org/10.1016/j.tpb.2018.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_40 44.45 Immunologie VZ AR 124 2018 16-30 15 |
language |
English |
source |
Enthalten in Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus Orlando, Fla volume:124 year:2018 pages:16-30 extent:15 |
sourceStr |
Enthalten in Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus Orlando, Fla volume:124 year:2018 pages:16-30 extent:15 |
format_phy_str_mv |
Article |
bklname |
Immunologie |
institution |
findex.gbv.de |
topic_facet |
Diffusion approximation Fluctuating selection Genic selection Haploid/clonal polymorphism |
dewey-raw |
610 |
isfreeaccess_bool |
false |
container_title |
Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus |
authorswithroles_txt_mv |
Dean, Antony M. @@aut@@ |
publishDateDaySort_date |
2018-01-01T00:00:00Z |
hierarchy_top_id |
ELV01821438X |
dewey-sort |
3610 |
id |
ELV045072841 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV045072841</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626010417.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">190205s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.tpb.2018.07.003</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000439.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV045072841</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0040-5809(18)30140-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">616.019405</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.45</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dean, Antony M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Haploids, polymorphisms and fluctuating selection</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">15</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Diffusion approximation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fluctuating selection</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Genic selection</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Haploid/clonal polymorphism</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Academic Press</subfield><subfield code="a">Jääskeläinen, Anne J. ELSEVIER</subfield><subfield code="t">Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus</subfield><subfield code="d">2015</subfield><subfield code="d">TPB : an interdisciplinary journal</subfield><subfield code="g">Orlando, Fla</subfield><subfield code="w">(DE-627)ELV01821438X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:124</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:16-30</subfield><subfield code="g">extent:15</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.tpb.2018.07.003</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.45</subfield><subfield code="j">Immunologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">124</subfield><subfield code="j">2018</subfield><subfield code="h">16-30</subfield><subfield code="g">15</subfield></datafield></record></collection>
|
author |
Dean, Antony M. |
spellingShingle |
Dean, Antony M. ddc 610 ddc 616.019405 bkl 44.45 Elsevier Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism Haploids, polymorphisms and fluctuating selection |
authorStr |
Dean, Antony M. |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV01821438X |
format |
electronic Article |
dewey-ones |
610 - Medicine & health 616 - Diseases |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
610 VZ 616.019405 VZ 44.45 bkl Haploids, polymorphisms and fluctuating selection Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism Elsevier |
topic |
ddc 610 ddc 616.019405 bkl 44.45 Elsevier Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism |
topic_unstemmed |
ddc 610 ddc 616.019405 bkl 44.45 Elsevier Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism |
topic_browse |
ddc 610 ddc 616.019405 bkl 44.45 Elsevier Diffusion approximation Elsevier Fluctuating selection Elsevier Genic selection Elsevier Haploid/clonal polymorphism |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
hierarchy_parent_title |
Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus |
hierarchy_parent_id |
ELV01821438X |
dewey-tens |
610 - Medicine & health |
hierarchy_top_title |
Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV01821438X |
title |
Haploids, polymorphisms and fluctuating selection |
ctrlnum |
(DE-627)ELV045072841 (ELSEVIER)S0040-5809(18)30140-0 |
title_full |
Haploids, polymorphisms and fluctuating selection |
author_sort |
Dean, Antony M. |
journal |
Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus |
journalStr |
Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
600 - Technology |
recordtype |
marc |
publishDateSort |
2018 |
contenttype_str_mv |
zzz |
container_start_page |
16 |
author_browse |
Dean, Antony M. |
container_volume |
124 |
physical |
15 |
class |
610 VZ 616.019405 VZ 44.45 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Dean, Antony M. |
doi_str_mv |
10.1016/j.tpb.2018.07.003 |
dewey-full |
610 616.019405 |
title_sort |
haploids, polymorphisms and fluctuating selection |
title_auth |
Haploids, polymorphisms and fluctuating selection |
abstract |
I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. |
abstractGer |
I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. |
abstract_unstemmed |
I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_22 GBV_ILN_40 |
title_short |
Haploids, polymorphisms and fluctuating selection |
url |
https://doi.org/10.1016/j.tpb.2018.07.003 |
remote_bool |
true |
ppnlink |
ELV01821438X |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1016/j.tpb.2018.07.003 |
up_date |
2024-07-06T16:32:04.377Z |
_version_ |
1803848016861331456 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV045072841</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626010417.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">190205s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.tpb.2018.07.003</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000439.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV045072841</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0040-5809(18)30140-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">616.019405</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.45</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dean, Antony M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Haploids, polymorphisms and fluctuating selection</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">15</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">I analyze the joint impact of directional and fluctuating selection with reversible mutation in finite bi-allelic haploid populations using diffusion approximations of the Moran and chemostat models. Results differ dramatically from those of the classic Wright–Fisher diffusion. There, a strong dispersive effect attributable to fluctuating selection dissipates nascent polymorphisms promoted by a relatively weak emergent frequency dependent selective effect. The dispersive effect in the Moran diffusion with fluctuations every birth–death event is trivial. The same frequency dependent selective effect now dominates and polymorphism is promoted. The dispersive effect in the chemostat diffusion with fluctuations every generation is identical to that in the Wright–Fisher diffusion. Nevertheless, polymorphism is again promoted because the emergent frequency dependent effect is doubled, an effect attributable to geometric reproduction within generations. Fluctuating selection in the Moran and chemostat diffusions can also promote bi-allelic polymorphisms when one allele confers a net benefit. Rapid fluctuations within generations are highly effective at promoting polymorphism in large populations. The bi-allelic distribution is approximately Gaussian but becomes uniform and then U-shaped as the frequency of environmental fluctuations decreases to once a generation and then once every multiple generations. Trade-offs (negative correlations in fitness) help promote polymorphisms but are not essential. In all three models the frequency dependent effect raises the probability of ultimate fixation of new alleles, but less effectively in the Wright–Fisher diffusion. Individual-based forward simulations confirm the calculations.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Diffusion approximation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fluctuating selection</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Genic selection</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Haploid/clonal polymorphism</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Academic Press</subfield><subfield code="a">Jääskeläinen, Anne J. ELSEVIER</subfield><subfield code="t">Development and evaluation of a real-time EBOV-L-RT-qPCR for detection of Zaire ebolavirus</subfield><subfield code="d">2015</subfield><subfield code="d">TPB : an interdisciplinary journal</subfield><subfield code="g">Orlando, Fla</subfield><subfield code="w">(DE-627)ELV01821438X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:124</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:16-30</subfield><subfield code="g">extent:15</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.tpb.2018.07.003</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.45</subfield><subfield code="j">Immunologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">124</subfield><subfield code="j">2018</subfield><subfield code="h">16-30</subfield><subfield code="g">15</subfield></datafield></record></collection>
|
score |
7.4026995 |