Spatial autocorrelation of genotypes in populations of Impatiens pallida and Impatiens capensis

Schoen, Daniel J.; Latta, Robert G.

doi:10.1038/hdy.1989.90

Cited by 76 publications

(44 citation statements)

References 34 publications

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“…Consistently, most studies involving large populations have elicited patterns of spatial genetic organization over short distances (Epperson & Clegg, 1986;Schoen & Latta, 1989;Perry & Knowles, 1991;Schnabel et at., 1991;Wagner et a!., 1991;Shapcott, 1995), although some exceptions seem to occur (Levin, 1976;Dewey & Heywood, 1988). The existence of spatial structuring in large populations facilitates the generation and maintenance of high levels of variability with which to sustain efficient reproductive performance, survive stochastic events or adjust to novel fluctuating environments (Huenneke, 1991).…”

Section: Introductionmentioning

confidence: 83%

Space-time patterns of genetic structure within a stand of Androcymbium gramineum (Cav.) McBride (Colchicaceae)

Caujapé‐Castells

Pedrola‐Monfort²

1997

Heredity

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Space-time patterns of genetic structure in the largest known Spanish stand of Androcymbium gramineum were explored through spatial autocorrelation on allele frequencies at 17 allozymic loci. Our results strongly suggest that the consistent overall profiles of short-distance genetic structure detected have evolved in a scenario of prolonged habitat uniformity by the action of prolific vegetative reproduction overlaid with a minor incidence of outcrossing and self-fertilization. Investigation of the temporal component of spatial genetic structure through the assessment of differently aged cohorts of plants provided evidence that patch sizes in this stand are progressively enlarged in the absence of microhabitat differentiation. These results explain the maintenance of large amounts of variability in this endangered endemic species.

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Section: Introductionmentioning

confidence: 83%

Space-time patterns of genetic structure within a stand of Androcymbium gramineum (Cav.) McBride (Colchicaceae)

Caujapé‐Castells

Pedrola‐Monfort²

1997

Heredity

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“…Os genótipos individuais podem ser tratados como classes nominais, com suas distribuições espaciais descritas em termos de estatísticas de contagem de vizinhos pareados "join-counts" (Epperson & Clegg 1986, Epperson & Allard 1989, Schoen & Latta 1989, Epperson 1995. De forma alternativa, os indivíduos podem ser caracterizados por suas freqüências alélicas, com a distribuição espacial dos alelos sendo descrita em termos de um coeficiente de autocorrelação, usualmente o coeficiente I de Moran (Dewey & Heywood 1988, Campbell & Dooley 1992.…”

Section: Introductionunclassified

“…Contudo, os estudos dos padrões espaciais de variabilidade genética dentro de populações têm mostrado o poder da análise de autocorrelação espacial para descrever a estrutura genética e para detectar seleção natural (Sokal & Oden 1978b, Epperson & Clegg 1986, Dewey & Heywood 1988, Epperson & Allard 1989, Schoen & Latta 1989, Knowles et al 1992, Shea & Furnier 2002.…”

Section: Introductionunclassified

Estrutura genética intrapopulacional em Cryptocarya moschata Nees (Lauraceae)

Moraes¹,

Monteiro²,

Vencovsky³

2004

Rev. bras. Bot.

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-(Intrapopulation genetic structure in Cryptocarya moschata Nees (Lauraceae)). Through the analysis of six enzyme systems (ACP, ALP, CAT, GOT, PPO and PO), with 18 polymorphic loci, allele frequencies of 24 alleles were calculated for 141 adult individuals of a natural population of Cryptocarya moschata (Brazilian nutmeg), from Carlos Botelho State Park (24º03'21" S, 47º59'36" W), São Miguel Arcanjo, SP, Brazil, which were sampled in an area ca. 647 ha. The spatial genetic structure was investigated by the spatial autocorrelation method, using Moran's I coefficients estimated for 10 distance classes. Additionally, for the same distance classes, coefficients r were calculated through a multivariate analysis. Both approaches were qualitatively similar, poiting out that 15 correlograms from Moran's I coefficients were significant at 95% probability level. The total correlogram from r coefficients indicated that there was a significant spatial structure for the distance class of 0 to 150 m. By subdividing this class into 10 m intervals, positive spatial autocorrelation was detected in the majority of classes, suggesting that clusters of C. moschata trees, which were shorter than 50 m apart, were constituted of individuals with greater genetic similarity and were probably related. However, the greatest genetic similarity occurred among individuals being 105 m apart, which could be related to the kind of seed dispersal promoted by Brachyteles arachnoides (Primates -Cebidae). Results showed that for an adequate sampling, aiming to detect genetic diversity, the collection of individuals separated by a distance of 750 m, or more, from each other, would be advisable.Key words -Cryptocarya moschata, isozymes, Moran's I coefficients, multilocus analysis, spatial autocorrelation RESUMO -(Estrutura genética intrapopulacional em Cryptocarya moschata Nees (Lauraceae)). Pela análise de seis sistemas enzimáticos (ACP, ALP, CAT, GOT, PPO e PO), com 18 locos polimórficos, foram calculadas as freqüências alélicas de 24 alelos referentes a 141 indivíduos adultos de uma população natural de Cryptocarya moschata (noz-moscada-do-Brasil) do Parque Estadual Carlos Botelho (24º03'21" S, 47º59'36" W), São Miguel Arcanjo, SP, amostrados em uma área de cerca de 647 ha. A estrutura genética espacial foi investigada através do método de autocorrelação espacial, utilizando-se coeficientes I de Moran estimados para 10 classes de distância. Adicionalmente, para as mesmas classes de distância, estimaram-se os coeficientes r através de uma análise multivariada. Ambas as abordagens mostraram-se similares qualitativamente, sendo que 15 correlogramas de coeficientes I foram significativos ao nível de 95% de probabilidade. O correlograma total gerado pelos coeficientes r indicou estruturação espacial significativa para a classe de distância de 0 a 150 m. Pela subdivisão desta classe em intervalos de 10 m, detectou-se autocorrelação espacial positiva na maioria das classes, indicando que os agrupamentos de árvores de C. moschata, que se encontra...

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“…Email: rngm50cornell.edu terns of genotypes have been interpreted in plant populations (Epperson 1990;Heywood 1991). In the absence of discernible environmental heterogeneity, nonrandom clustering of genotypes has been interpreted as evidence for local pollen and seed dispersal (Epperson & Clegg 1986;Schoen & Latta 1989;Campbell & Dooley 1991;Schnabel et al 1991;Maki & Masuda 1993). Conversely, the absence of spatial genetic structure has been taken for evidence that gene flow is not restricted on a local scale (Waser 1987;Dewey & Heywood 1988; Epperson &r Allard 1989).…”

Section: Introductionmentioning

confidence: 99%

Spatial analysis of nuclear and mitochondrial RFLP genotypes in populations of the chestnut blight fungus, Cryphonectria parasitica

Milgroom

Lipari

1995

Molecular Ecology

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Spatial structure of both nuclear and mitochondrial RFLPs were studied in several p o p ulations of the chestnut blight fungus, Cryphonectnk purusiticu, using a variety of spatial autocorrelation tests designed to detect nonrandom patterns. Fungal individuals were sampled from cankers on infected chestnut trees, and the location of each tree was mapped. Single-locus nuclear RFLPs, nuclear fingerprints, and mitochondrial DNA haplotypes were determined for each individual. Individuals with the same DNA fingerprint genotypes occurred closer together than would be expected at random in four of the five plots, while mitochondrial DNA haplotypes were aggregated in all five plots. Genetic distances between individuals, expressed as one minus the proportion of shared restriction fragment size classes for fingerprints and mitochondrial haplotypes, were significantly correlated with Euclidean distances between individuals in four of the five populations, but these correlations were very weak (r < 0.18). The same DNA fingerprint and single-copy nuclear RFLP alleles occurred on the same trees or immediately neighbouring trees more often than would be expected at random. Most of the aggregation for all three genetic markers occurred among individuals within the same cluster of chestnut stems or on neighbouring trees. Lack of spatial autocorrelation in one population was probably due to sampling on a larger scale that was too coarse to detect any patterns. Significant aggregation of genotypes in C. purusiticu is most likely caused by some degree of restricted dispersal within populations. The implications of restricted dispersal are discussed in relation to the breeding system and isolation by distance in populations of C. purasiticu.

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Spatial autocorrelation of genotypes in populations of Impatiens pallida and Impatiens capensis

Cited by 76 publications

References 34 publications

Space-time patterns of genetic structure within a stand of Androcymbium gramineum (Cav.) McBride (Colchicaceae)

Space-time patterns of genetic structure within a stand of Androcymbium gramineum (Cav.) McBride (Colchicaceae)

Estrutura genética intrapopulacional em Cryptocarya moschata Nees (Lauraceae)

Spatial analysis of nuclear and mitochondrial RFLP genotypes in populations of the chestnut blight fungus, Cryphonectria parasitica

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