Presentation3 - Representa & DIVmapas tools

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Mauricio Parra Quijano FAO consultant International Treaty on Plant Genetic Resources for Nutrition and Agriculture CAPFITOGEN Program Coordinator Tools

description

CAPFITOGEN english presentations for workshops

Transcript of Presentation3 - Representa & DIVmapas tools

Page 1: Presentation3 - Representa & DIVmapas tools

Mauricio Parra QuijanoFAO consultant International Treaty on Plant Genetic Resources for Nutrition and Agriculture CAPFITOGEN Program Coordinator

Tools

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Representa

Evaluates the ecogeographical representativeness of germplasm collections

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Genetic representation

A B C

accggtccc accggtcgc accggtctc

A B C

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B

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C BA

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Ecogeographic representation

A BBBBBBB CCC

A B C Unique

A BB CC Even

A BBBB CC Proportional

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Representativeness based on ELC maps

y

x

Coordinates of passport dataELC map of Cuba (from ELC mapas tool)

Sites with species´ occurrences

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ELC categoriesN

en

trie

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Genebank set

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ELC categories

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ntr

ies

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External sources set1 2 3 4 5 6 7 8 9 10

ELC categories

% c

ells

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Overall distributionCategories of the map

Χ2 test

upperupper midlower midlower

Quartiles

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Validation through germplasm evaluation/characterization

-Apparents

-Non-apparents

Adaptive traits:

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DIVmapas

Provides maps of phenotypic, genotypic and/or eco-geographical diversity

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Measuring the diversity of the collections

Characterization

Morphological

Biochemical / Molecular /ADN

Agronomical / Physiological / PhytopathologicalEntomological

Eco-geographical

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Cluster analysis

hclust (*, "average")

He

ight

How we have visualized the genetic diversity

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-0.2 0.0 0.2 0.4

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PCO for genotypic characterization

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O 2

d = 2

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X

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slope

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t_sand

t_caco3

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Eigenvalues

How we have visualized the genetic diversity

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DIVmapas

A different way to visualize the diversity Collecting sites with a minimum level of geo-referencing quality

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DIVmapas

Overlapping a grid (N x N km cells)

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DIVmapas

Selection of cells that include collecting sites (centroids are points in yellow )

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DIVmapas

Detection of neighbouring cells which centroids (green points) falls at X km (radius ) around of the presence cell centroid (yellow points)

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DIVmapas

Generation of areas of influence from each centroid

Detection of accessions collected within each area of influence

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DIVmapas

OTU 89 233 152

89 0

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152 15 14 0

OTU VAR1 VAR2 VAR3 VAR4 VAR5

89 233 0.56 13 600 0

233 198 1.43 13 700 0

152 201 0.88 10 600 1

Distance algorithm

Averaged distance = (10+15+14)/3

= 13

Local multivariate analysis

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DIVmapas

Same process for all cells that include collecting sites

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DIVmapas

Same process for neighbouring cells

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DIVmapas

0 0 0 0 1 3 2

1 1 0 1 1 2 1

1 1 0 1 1 0 0

0 0 0 0 0 0 0

Result 1:Number of analyzed accessions by cell

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DIVmapas

0 13 8

0 0 0 0 2 0

0 0 0 0

Result 2:Averaged distances assigned to each cell

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DIVmapas

Bias in sampling? Correction via "bootstrapping"

1

2......n

Median = 2

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Applied DIVmapas

Ecuadorian collection ofArachis hipogaea L.

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Applied DIVmapas

Number of collecting sites per cell

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Applied DIVmapas

Averagedeuclidean distance

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