FGFR1 signaling is associated with the magnitude of morphological integration in human head shape

Hünemeier, Tábita; Gómez-Valdés, Jorge; Azevedo, Soledad de; Quinto‐Sanchez, Mirsha; Passaglia, Luciane Maria Pereira; Salzano, Francisco M.; Sánchez‐Mejorada, Gabriela; Alonzo, Víctor Acuña; Martínez‐Abadías, Neus; Bortolini, Maria-Cátira; González‐José, Rolando

doi:10.1002/ajhb.22496

Cited by 10 publications

(11 citation statements)

References 76 publications

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“…Hünemeier et al . ). The first gene, FGF3 , was tagged by a downstream SNP that was an outlier for percentage tree cover (BF = 3.17), and the second gene, FGF14 , was tagged by an intronic SNP highly ranked for mean diurnal temperature range (BF = 5.46).…”

Section: Resultsmentioning

confidence: 97%

Genetic subdivision and candidate genes under selection in North American grey wolves

Schweizer

vonHoldt

Harrigan³

et al. 2015

Molecular Ecology

103

134

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Previous genetic studies of the highly mobile grey wolf (Canis lupus) found population structure that coincides with habitat and phenotype differences. We hypothesized that these ecologically distinct populations (ecotypes) should exhibit signatures of selection in genes related to morphology, coat colour and metabolism. To test these predictions, we quantified population structure related to habitat using a genotyping array to assess variation in 42 036 single-nucleotide polymorphisms (SNPs) in 111 North American grey wolves. Using these SNP data and individual-level measurements of 12 environmental variables, we identified six ecotypes: West Forest, Boreal Forest, Arctic, High Arctic, British Columbia and Atlantic Forest. Next, we explored signals of selection across these wolf ecotypes through the use of three complementary methods to detect selection: FST /haplotype homozygosity bivariate percentilae, bayescan, and environmentally correlated directional selection with bayenv. Across all methods, we found consistent signals of selection on genes related to morphology, coat coloration, metabolism, as predicted, as well as vision and hearing. In several high-ranking candidate genes, including LEPR, TYR and SLC14A2, we found variation in allele frequencies that follow environmental changes in temperature and precipitation, a result that is consistent with local adaptation rather than genetic drift. Our findings show that local adaptation can occur despite gene flow in a highly mobile species and can be detected through a moderately dense genomic scan. These patterns of local adaptation revealed by SNP genotyping likely reflect high fidelity to natal habitats of dispersing wolves, strong ecological divergence among habitats, and moderate levels of linkage in the wolf genome.

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Section: Resultsmentioning

confidence: 97%

Genetic subdivision and candidate genes under selection in North American grey wolves

Schweizer

vonHoldt

Harrigan³

et al. 2015

Molecular Ecology

103

134

View full text Add to dashboard Cite

show abstract

“…BMI was also taken into consideration by Shrimpton et al [9], together with sex and age. Nonetheless, specific studies showed that a correlation exists between soft-tissue depth thickness and underlying craniometric dimension regardless to diet, age, and sex [29]. This preserves the possibility of comparing results concerning skin and bony parts, by guaranteeing a quantitative relationship between the dimensions of the two.…”

Section: Discussionmentioning

confidence: 95%

“…Thus, no intra-nor inter-individual errors are computed. Nonetheless, even if only one user makes the allocation, different observations are registered sometimes: two [16], three [7], five [13,29]. And a time period can pass between different localizations: one week [13] or four weeks [16].…”

Section: Landmark Allocationmentioning

confidence: 98%

“…The number of observers positioning landmarks in this context is always single user-based [7,8,13,29]. Thus, no intra-nor inter-individual errors are computed.…”

Section: Landmark Allocationmentioning

confidence: 99%

“…In particular, in the forensic context, landmarks are completely manually allocated. Manual localization methods are digitization [7,29], physical markers placing [15], and software-aided localization [10]. Related supporting tools and software are Microscribe G2X digitizer [29], Mimics 14.11 [10], Amira 5.2.2 [8], MorphoJ [13], VRMesh [16], MakeHuman [13].…”

Section: Landmark Allocationmentioning

confidence: 99%

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Facial Landmarks for Forensic Skull-Based 3D Face Reconstruction: A Literature Review

Vezzetti

Marcolin

Tornincasa

et al. 2016

Lecture Notes in Computer Science

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Abstract. Recent Face Analysis advances have focused the attention on studying and formalizing 3D facial shape. Landmarks, i.e. typical points of the face, are perfectly suited to the purpose, as their position on visage shape allows to build up a map of each human being's appearance. This turns to be extremely useful for a large variety of fields and related applications. In particular, the forensic context is taken into consideration in this study. This work is intended as a survey of current research advances in forensic science involving 3D facial landmarks. In particular, by selecting recent scientific contributions in this field, a literature review is proposed for in-depth analyzing which landmarks are adopted, and how, in this discipline. The main outcome concerns the identification of a leading research branch, which is landmark-based facial reconstruction from skull. The choice of selecting 3D contributions is driven by the idea that the most innovative Face Analysis research trends work on three-dimensional data, such as depth maps and meshes, with three-dimensional software and tools. The third dimension improves the accurateness and is robust to colour and lightning variations.

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Shifts in subsistence type and its impact on the human skull's morphological integration

Paschetta

Azevedo

González

et al. 2015

American J Hum Biol

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FGFR1 signaling is associated with the magnitude of morphological integration in human head shape

Abstract: Since FGFR genes present nonconservative and tissue-specific splicing sites, they may have some effect on protein structure and performance likely involved in developmental processes responsible for the magnitude and pattern of MI in the human head.

Cited by 10 publications

References 76 publications

Genetic subdivision and candidate genes under selection in North American grey wolves

Genetic subdivision and candidate genes under selection in North American grey wolves

Facial Landmarks for Forensic Skull-Based 3D Face Reconstruction: A Literature Review

Shifts in subsistence type and its impact on the human skull's morphological integration

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