TY - JOUR
T1 - Polymorphism Data Can Reveal the Origin of Species Abundance Statistics
AU - Maruvka, Yosef E.
AU - Shnerb, Nadav M.
PY - 2009/4
Y1 - 2009/4
N2 - What is the underlying mechanism behind the fat-tailed statistics observed for species abundance distributions? The two main hypotheses in the field are the adaptive (niche) theories, where species abundance reflects its fitness, and the neutral theory that assumes demographic stochasticity as the main factor determining community structure. Both explanations suggest quite similar species-abundance distributions, but very different histories: niche scenarios assume that a species population in the past was similar to the observed one, while neutral scenarios are characterized by strongly fluctuating populations. Since the genetic variations within a population depend on its abundance in the past, we present here a way to discriminate between the theories using the genetic diversity of noncoding DNA. A statistical test, based on the Fu-Li method, has been developed and enables such a differentiation. We have analyzed the results gathered from individual- based simulation of both types of histories and obtained clear distinction between the Fu-Li statistics of the neutral scenario and that of the niche scenario. Our results suggest that data for 10-50 species, with approximately 30 sequenced individuals for each species, may allow one to distinguish between these two theories.
AB - What is the underlying mechanism behind the fat-tailed statistics observed for species abundance distributions? The two main hypotheses in the field are the adaptive (niche) theories, where species abundance reflects its fitness, and the neutral theory that assumes demographic stochasticity as the main factor determining community structure. Both explanations suggest quite similar species-abundance distributions, but very different histories: niche scenarios assume that a species population in the past was similar to the observed one, while neutral scenarios are characterized by strongly fluctuating populations. Since the genetic variations within a population depend on its abundance in the past, we present here a way to discriminate between the theories using the genetic diversity of noncoding DNA. A statistical test, based on the Fu-Li method, has been developed and enables such a differentiation. We have analyzed the results gathered from individual- based simulation of both types of histories and obtained clear distinction between the Fu-Li statistics of the neutral scenario and that of the niche scenario. Our results suggest that data for 10-50 species, with approximately 30 sequenced individuals for each species, may allow one to distinguish between these two theories.
UR - http://www.scopus.com/inward/record.url?scp=66249143787&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1000359
DO - 10.1371/journal.pcbi.1000359
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C2 - 19390605
AN - SCOPUS:66249143787
SN - 1553-734X
VL - 5
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 4
ER -