IUFRO2015: Difference between revisions
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=== Paoletti - Forest Ecology (Presentation) === | === Paoletti - Forest Ecology (Presentation) === | ||
* Works on all aspect of Agroforestry | support conferences | Host journals ROREST (IF: 1.15) | * Works on all aspect of Agroforestry | support conferences | Host journals ROREST (IF: 1.15) | ||
* Italy is 6th is Europe on | * Italy is 6th is Europe on forest coverage | ||
* 54% is coppicers (choosing trees in forest) | * 54% is coppicers (choosing trees in forest) | ||
* 66% is from Private owners | * 66% is from Private owners | ||
=== Chostri === | === Chostri === | ||
* Welcome and explained about the several congress of Forestry in florence | * Welcome and explained about the several congress of Forestry in florence | ||
* Farming and | * Farming and Forestry, climate change studies will bring great impact to the planet | ||
* | === Yousry A El-Kassaby === | ||
* Origin of IUFRO | |||
** Next will be in Germany | |||
=== Sally Aitken - Millions of markers, but what is the message ? === | |||
* Sub Title: Population genomics of adaptation to climate in conifers | |||
* Theme: '''Adaptree''' | |||
* Climate change create mis-match between populations. Eg: pine and spurce | |||
** Aim: to detect the patterns of local adaptation from genomic data | |||
** Trees do the local adaptation through small effects of many loci | |||
** These were done through GWAS | Taking '''neutral''' population | |||
** Transcriptome -> aligned with whole genome sequence | |||
** In addition did some exon - capture (20 million SNPs in pine and spurce together) | |||
** Choose 1 million SNPs per species based on several filters | |||
** Categorized SNPs based GEA (Genotype-environment association) | |||
** Strong differentiation of North vs South (obviously) | |||
** Took the outliers (SNPs) out and correlated them : Strong positive correlation between pine and spurce (again obvious) | |||
** Looked at LD | |||
*** LD in GWAS: Did with the sub-population and observed the longer LD block, (which is again obvious) | |||
*** LD is skewed if the population is not adjusted (Again obvious fact idiot) | |||
** 6 common genes as outliers (basically major effect genes) in pine and spruce | |||
** Irrelevant last slide | |||
** Full summary is all about obvious facts | |||
* How would you use the genomic data on local adaptation: will use the specific population which is more amenable to adaption to be used in conservation. (??!) . OK Nice. How many of the population is really '''marked''' for conservation??? | |||
** These guys really make fun with the Govt Funds. | |||
* Good question | |||
** Time is also factor while dissecting the envt..! correct | |||
** Minor effect is also a big factor in decision making | |||
=8 JUN 2015= | |||
==Mathias - Populus GWAS == | |||
* Exon Capture and genotyping by targeted sequencing | |||
* Stat | |||
** 18K genes | |||
** Association | |||
*** Lignin and S/G rario -> Got a 120 kb haplotype highly associated with biomass and lignin | |||
*** '''Phenotype prediction workshop''' | Onlien | Free | Augest 2015 | |||
** Chlroloplast | |||
*** Interesting - predominant haplotypes | |||
==Barbara - GS in E.benthamii & pellita (Dario Lab)== | |||
* General path | |||
* Population structure | |||
* Ne estimation (54 and 35) | |||
* GBLUP analysis | |||
* PBLUP analysis | |||
== Pine - population structure == | |||
=General Take home from Adaptive Population Genomics = | |||
* Multi-clones | |||
* Seeds | |||
* models for Adaptive SNPs across environment | |||
* Stable genotypes | |||
* Hybrids to create as much as variation | |||
= Conifer Genomes = | |||
* 3 pines (22, 33, 18 GB genomes ) | |||
** NGS way | |||
** Done with Denovo assembly | Version 1.1 released | |||
** Version 2 will be released by end of 2015 | |||
* Spruce genome | completed | Denovo assembly | |||
** Millions of scaffold | small to medium gaps | |||
=10JUN 2015 = | |||
==Quercusr - Leaf morphology association == | |||
* Some markers based on candidate gene | |||
* Low Fst values and No association | |||
* Phenotypic vatration is explined only 11% | |||
* No marker acccuracy calculated | |||
==Plant based effector molecules in Micorhyza fungi == | |||
Latest revision as of 09:45, 10 June 2015
8 JUN 2015
- Registration
Introduction
Speach by G. Surico (Italian)
- Welcoming the IURO family
- Florence Univ is one of the best for Science and Technology and Research
- One has to understand the food for the planet should be seen as wealth of the planet in terms of plants and biodiversity
- Welome all to the beautiful city with exciting discussions.
Speech by Loreto (English)
- Importance of conference
- About CNR EXPO (with 200 scientists all over the world
Chanco | Chairman of Italian Academy of Sciences (Italian)
- Talks on Biology, its diversification | Central dogma of Research in Biology
- Need for heterogenicity | the complexity of biology
Speech by Scaramuzzi - Director of Biology (Italian)
- Orgin of Academy of science in Italy (206 years back)
- Importance of Agriculture and need for feeding the planet
- I was a tree grower and I am proud of it.
- Hope on Molecular biology
Veronesi (Chariman of Agricultural society )
- Declares that he is the specialists of tree genetics
- Knowledge should be published
- Have a positive attitude
Paoletti - Forest Ecology (Presentation)
- Works on all aspect of Agroforestry | support conferences | Host journals ROREST (IF: 1.15)
- Italy is 6th is Europe on forest coverage
- 54% is coppicers (choosing trees in forest)
- 66% is from Private owners
Chostri
- Welcome and explained about the several congress of Forestry in florence
- Farming and Forestry, climate change studies will bring great impact to the planet
Yousry A El-Kassaby
- Origin of IUFRO
- Next will be in Germany
Sally Aitken - Millions of markers, but what is the message ?
- Sub Title: Population genomics of adaptation to climate in conifers
- Theme: Adaptree
- Climate change create mis-match between populations. Eg: pine and spurce
- Aim: to detect the patterns of local adaptation from genomic data
- Trees do the local adaptation through small effects of many loci
- These were done through GWAS | Taking neutral population
- Transcriptome -> aligned with whole genome sequence
- In addition did some exon - capture (20 million SNPs in pine and spurce together)
- Choose 1 million SNPs per species based on several filters
- Categorized SNPs based GEA (Genotype-environment association)
- Strong differentiation of North vs South (obviously)
- Took the outliers (SNPs) out and correlated them : Strong positive correlation between pine and spurce (again obvious)
- Looked at LD
- LD in GWAS: Did with the sub-population and observed the longer LD block, (which is again obvious)
- LD is skewed if the population is not adjusted (Again obvious fact idiot)
- 6 common genes as outliers (basically major effect genes) in pine and spruce
- Irrelevant last slide
- Full summary is all about obvious facts
- How would you use the genomic data on local adaptation: will use the specific population which is more amenable to adaption to be used in conservation. (??!) . OK Nice. How many of the population is really marked for conservation???
- These guys really make fun with the Govt Funds.
- Good question
- Time is also factor while dissecting the envt..! correct
- Minor effect is also a big factor in decision making
8 JUN 2015
Mathias - Populus GWAS
- Exon Capture and genotyping by targeted sequencing
- Stat
- 18K genes
- Association
- Lignin and S/G rario -> Got a 120 kb haplotype highly associated with biomass and lignin
- Phenotype prediction workshop | Onlien | Free | Augest 2015
- Chlroloplast
- Interesting - predominant haplotypes
Barbara - GS in E.benthamii & pellita (Dario Lab)
- General path
- Population structure
- Ne estimation (54 and 35)
- GBLUP analysis
- PBLUP analysis
Pine - population structure
General Take home from Adaptive Population Genomics
- Multi-clones
- Seeds
- models for Adaptive SNPs across environment
- Stable genotypes
- Hybrids to create as much as variation
Conifer Genomes
- 3 pines (22, 33, 18 GB genomes )
- NGS way
- Done with Denovo assembly | Version 1.1 released
- Version 2 will be released by end of 2015
- Spruce genome | completed | Denovo assembly
- Millions of scaffold | small to medium gaps
10JUN 2015
Quercusr - Leaf morphology association
- Some markers based on candidate gene
- Low Fst values and No association
- Phenotypic vatration is explined only 11%
- No marker acccuracy calculated