The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
Stephen R Palumbi - One of the best experts on this subject based on the ideXlab platform.
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Genetic Divergence reproductive isolation and marine speciation
Annual Review of Ecology Evolution and Systematics, 1994Co-Authors: Stephen R PalumbiAbstract:In marine species, high dispersal is often associated with only mild Genetic differentiation over large spatial scales. Despite this generalization, there are numerous reasons for the accumulation of Genetic differences between large, semi-isolated marine populations. A suite of well-known evolutionary mechanisms can operate within and between populations to result in Genetic Divergence, and these mechanisms may well be augmented by newly discovered Genetic processes. This variety of mechanisms for Genetic Divergence is paralleled by great diversity in the types of reproductive isolation shown by recently diverged marine species. Differences in spawning time, mate recognition, environmental tolerance, and gamete compatibility have all been implicated in marine speeiation events. There is substantial evidence for rapid evolution of reproductive isolation in strictly allopatrie populations (e,g. across the Isthmus of Panama). Evidence for the action of selection in increasing reproductive isolation in sympatric populations is fragmentary. Although a great deal of information is available on population Genetics, reproductive isolation, and cryptic or sibling species in marine environments, the influence of particular Genetic changes on reproductive isolation is poorly understood for marine (or terrestrial) taxa. For a few systems, like the co-evolution of gamete recognition proteins, changes in a small number of genes may give rise to reproductive isolation. Such studies show how a focus on the physiology, ecology, or sensory biology of reproductive isolation can help uncover the
Jonathan B Losos - One of the best experts on this subject based on the ideXlab platform.
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quantifying the roles of ecology and geography in spatial Genetic Divergence
Ecology Letters, 2013Co-Authors: Ian J Wang, Richard E Glor, Jonathan B LososAbstract:Investigating the properties of ecological landscapes that influence gene flow among populations can provide key insights into the earliest stages of biological Divergence. Both ecological and geographical factors can reduce gene flow, which can lead to population Divergence, but we know little of the relative strengths of these phenomena in nature. Here, we use a novel application of structural equation modelling to quantify the contributions of ecological and geographical isolation to spatial Genetic Divergence in 17 species of Anolis lizards. Our comparative analysis shows that although both processes contributed significantly, geographical isolation explained substantially more Genetic Divergence than ecological isolation (36.3 vs. 17.9% of variance respectively), suggesting that despite the proposed ubiquity of ecological Divergence, non-ecological factors play the dominant role in the evolution of spatial Genetic Divergence.
Ian J Wang - One of the best experts on this subject based on the ideXlab platform.
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quantifying the roles of ecology and geography in spatial Genetic Divergence
Ecology Letters, 2013Co-Authors: Ian J Wang, Richard E Glor, Jonathan B LososAbstract:Investigating the properties of ecological landscapes that influence gene flow among populations can provide key insights into the earliest stages of biological Divergence. Both ecological and geographical factors can reduce gene flow, which can lead to population Divergence, but we know little of the relative strengths of these phenomena in nature. Here, we use a novel application of structural equation modelling to quantify the contributions of ecological and geographical isolation to spatial Genetic Divergence in 17 species of Anolis lizards. Our comparative analysis shows that although both processes contributed significantly, geographical isolation explained substantially more Genetic Divergence than ecological isolation (36.3 vs. 17.9% of variance respectively), suggesting that despite the proposed ubiquity of ecological Divergence, non-ecological factors play the dominant role in the evolution of spatial Genetic Divergence.
S.k. Singh - One of the best experts on this subject based on the ideXlab platform.
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Genetic Divergence in pomegranate for fruit and its quality characters
Annals of Horticulture, 2020Co-Authors: Kamlesh K. Meena, Sunil Pareek, Poonam Kashyap, S.k. Singh, Subhadra SinghAbstract:Twenty four genotypes of pomegranate were evaluated for fruit and quality characters to determine their Genetic Divergence. Following D2 analysis, the genotypes were grouped into 4 clusters containing the highest 8 genotypes in cluster IV. Most of the genotypes were much divergent based on character constellation and also highly variable for individual character. On the basis of fruit and quality, 5 diverse and desirable genotypes (Alandi, Jyoti, Seedless, P-26 and Bassein Seedless) were selected. So based on Genetic Divergence these promising genotypes may be selected to provide the best breeding material to achieve the maximum Genetic Divergence with regard to average fruit weight and quality in pomegranate genotypes.
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Genetic Divergence for Yield and its Component Traits in Pomegranate (Punica granatum L.)
Indian Journal of Plant Genetic Resources, 2020Co-Authors: Room Singh, Kamlesh K. Meena, S.k. SinghAbstract:Twenty four genotypes of pomegranate, both exotic and indigenous were studied for Genetic Divergence for a set of eight traits by using Mahalanobis D2 statistic. The genotypes were grouped into five clusters. The genotypes did not show any relation to the geographical diversity. Based on Genetic Divergence and superior cluster means, it is predicted that the crosses between genotypes from cluster IV and V may result in superior types.
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Genetic Divergence for quantitative traits in rice germplasm
Electronic Journal of Plant Breeding, 2015Co-Authors: P. K. Bhati, S.k. Singh, S. Y. Dhurai, A. SharmaAbstract:An investigation was carried out with 52 genotypes of rice to study the nature and magnitude of Genetic Divergence using D 2 statistics. Fifty two genotypes were grouped into 8 clusters based on Euclidean cluster analysis with cluster-IV containing maximum of 14 genotypes. Maximum intra-cluster distance was observed in cluster- IV (187.87) indicating greater Genetic Divergence among genotypes belonging to this cluster. Number of spikelets panicle -1 , plant height, grain panicle -1 and grain yield plant -1 contributed maximum towards Genetic Divergence. Maximum inter-cluster distance was observed between cluster-IV and VIII (1875.84) followed by cluster IV and cluster VII (1453.19), cluster II and cluster VIII (1275.66) and cluster II and cluster VII (1034.22) indicating wide Genetic diversity between the clusters which may be used in rice hybridization programme(s) for improving grain yield through transgressive breeding. Hence, the crosses between BPT-5204 × IR 58025B, IET 20924 × IR 68897B and BPT-5204 × IR 68897B (cluster-IV × cluster-VIII), BPT-5204 × Khuta Dhan and IET 20924 × Khuta Dhan (cluster-IV × cluster-VII), Dantaswari × IR 58025B and IDR-763 × IR 58025B (cluster-II × cluster-VIII), Dantaswari × Khuta Dhan and IDR-763 × Khuta Dhan (cluster-II × cluster-VII) could be suggested for the exploitation of transgressive segregants for both yield and yield traits.
Richard E Glor - One of the best experts on this subject based on the ideXlab platform.
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quantifying the roles of ecology and geography in spatial Genetic Divergence
Ecology Letters, 2013Co-Authors: Ian J Wang, Richard E Glor, Jonathan B LososAbstract:Investigating the properties of ecological landscapes that influence gene flow among populations can provide key insights into the earliest stages of biological Divergence. Both ecological and geographical factors can reduce gene flow, which can lead to population Divergence, but we know little of the relative strengths of these phenomena in nature. Here, we use a novel application of structural equation modelling to quantify the contributions of ecological and geographical isolation to spatial Genetic Divergence in 17 species of Anolis lizards. Our comparative analysis shows that although both processes contributed significantly, geographical isolation explained substantially more Genetic Divergence than ecological isolation (36.3 vs. 17.9% of variance respectively), suggesting that despite the proposed ubiquity of ecological Divergence, non-ecological factors play the dominant role in the evolution of spatial Genetic Divergence.
