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Environmental and geographic variables are effective surrogates for genetic variation in conservation planning.

ABSTRACT: Protected areas buffer species from anthropogenic threats and provide places for the processes that generate and maintain biodiversity to continue. However, genetic variation, the raw material for evolution, is difficult to capture in conservation planning, not least because genetic data require considerable resources to obtain and analyze. Here we show that freely available environmental and geographic distance variables can be highly effective surrogates in conservation planning for representing adaptive and neutral intraspecific genetic variation. We obtained occurrence and genetic data from the IntraBioDiv project for 27 plant species collected over the European Alps using a gridded sampling scheme. For each species, we identified loci that were potentially under selection using outlier loci methods, and mapped their main gradients of adaptive and neutral genetic variation across the grid cells. We then used the cells as planning units to prioritize protected area acquisitions. First, we verified that the spatial patterns of environmental and geographic variation were correlated, respectively, with adaptive and neutral genetic variation. Second, we showed that these surrogates can predict the proportion of genetic variation secured in randomly generated solutions. Finally, we discovered that solutions based only on surrogate information secured substantial amounts of adaptive and neutral genetic variation. Our work paves the way for widespread integration of surrogates for genetic variation into conservation planning.

SUBMITTER: Hanson JO

PROVIDER: S-EPMC5715761 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Environmental and geographic variables are effective surrogates for genetic variation in conservation planning.

Hanson Jeffrey O JO Rhodes Jonathan R JR Riginos Cynthia C Fuller Richard A RA

Proceedings of the National Academy of Sciences of the United States of America 20171031 48

Protected areas buffer species from anthropogenic threats and provide places for the processes that generate and maintain biodiversity to continue. However, genetic variation, the raw material for evolution, is difficult to capture in conservation planning, not least because genetic data require considerable resources to obtain and analyze. Here we show that freely available environmental and geographic distance variables can be highly effective surrogates in conservation planning for representi ...[more]

PMID: 29087942

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Project description:BackgroundHuman skin color is highly heritable and one of the most variable phenotypic traits. However, the genetic causes and environmental selective pressures underlying this phenotypic variation have remained largely unknown. To investigate whether the pigmentation related-genes polymorphisms are associated with the geographic environmental variables. We selected randomly 795 healthy individuals from eight ethnic groups in nine provinces in China. Six single nucleotide polymorphisms (SNPs) of SLC45A2 and TYR were genotyped using Agena MassARRAY. The Chi-square test and Spearman correlation analysis were used to compare the frequency distribution of genotypes among different ethnic groups and evaluate the relationship between SNP genetic diversity and environmental variables, respectively.ResultsThe results indicated that rs28777 and rs183671 (SLC45A2) and rs1042602 (TYR) genotype frequency distributions were significantly different between the Xinjiang-Uighur and other ethnic groups (P < 0.05). Spearman correlation analysis found that rs28777-A (r = - 0.090, P = 0.011), rs183671-G (r = - 0.105, P = 0.003), rs1042602-A (r = - 0.108, P = 0.002), rs1126809-A (r = - 0.151, P < 0.001) allele frequencies were negatively correlated with the longitude; rs183671-G (r = 0.151), rs1042602-A (r = 0.157) and rs1126809-A (r = 0.138) allele frequencies were positively associated with the latitude (P < 0.001); rs183671-G (r = 0.116, P = 0.001), rs1042602-A (r = 0.105, P = 0.003) and rs1126809-A (r = 0.070, P = 0.048) allele frequencies were positively correlated with the sunshine hours; rs183671-G (r = - 0.076, P = 0.033), rs1042602-A (r = - 0.079, P = 0.027) and rs1126809-A (r = - 0.076, P = 0.031) were negatively correlated with the annual average temperature.ConclusionsOur results confirmed the idea that environmental factors have been an important selective pressure upon pigmentation related gene polymorphisms.

Project description:The degradation of soil and water resources has underpinned the chronic household level food insecurity in Ethiopia. The Purpose of the study was to assess the perceived effectiveness of soil and water conservation practices in the study area, and recommend sustainable planning, and management measures. The data for this study were collected via household interview schedule, focus group discussion, key informant interview, and personal observation. Data collected through household survey questionnaire were analysed with the help of simple ddescriptive statistics (mean, standard deviations, percentages, frequencies, and cross tabulation). Chi-squire test was used to see the difference between nominal/categorical dependent variable and the nominal independent variable. Qualitative data were analysed through thematic analysis, and narration. Over cultivation, deforestation, overgrazing, runoff from upslope and the easily erodible nature of the soil, poor agricultural practices, absence of appropriate soil conservation practices, over Population, intensity of rainfall, and cultivation of steep slopes and marginal lands without adequate erosion-controlling measures were identified as causes of soil erosion in the study area. The major structural soil and water conservation measures identified in the study area include: waterway, contour ploughing, cultural ditches, mulching, fallowing, soil bund, agroforestry, tree planting, area closure, cut off-drains, and wood check dams. The major challenges for implementing structural soil and water conservation measures identified in the study area include: physical soil conservation structures were not supported by biological works, lack of regular maintenance of soil and water conservation structures, and absence of care for trees planted on physical structures. A combination of structural and non-structural soil and water conservation measures should be practiced in the study area to achieve the sustainable development goals in agricultural development sector.

Dataset Information

Environmental and geographic variables are effective surrogates for genetic variation in conservation planning.

Publications

Environmental and geographic variables are effective surrogates for genetic variation in conservation planning.

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