Reference Genome Sequencing: Conifer Genomics Module 17

Authors:

Nicholas Wheeler, University of California Davis; David B. Neale, University of California Davis

This is the 17th module in a series of 17 developed by Conifer Translational Genomics Network (CTGN) and the Conifer Reference Genome Sequencing (PineRefSeq) Project. This module by PineRefSeq focuses on the development of a reference genome sequence for pine.

Introduction

A reference genome is the initial sequence to which all subsequent sequences are ultimately compared, and therefore must be as complete as possible given fiscal and technical constraints. Reference genome sequences result from the de novo sequencing and assembly of a haploid complement of an organism’s genome. Assembling the billions of nucleotide bases that make up the conifer genome is a monumental challenge, but important because the reference genome leads to the identification of all or most of the genes in an organism, and reveals features of the genome structure, such as the amount and order of repetitive elements and the nature of regulatory elements. Re-sequencing, or sequencing, other individuals within the same species is vastly less time consuming and costly once a reference genome exists. Re-sequencing reveals the amount and distribution of genetic variation (mutations) within a genome on an individual or population basis.

The purpose of this learning module is to describe an adaptive approach to the sequencing of very large conifer genomes. Long considered a task so daunting it might never be achieved, the development of next generation sequencing (NGS) technologies has opened the door to deciphering even these leviathan genomes. The work described in this module reflects the continuous evolution of state-of-the-art genome sequencing and the specific approaches of a team of researchers funded by the USDA NIFA AFRI program ($14.625 million dollars over five years). The reference genome produced by the PineRefSeq project, formerly known as the Loblolly Pine Genome Project, is anticipated to dramatically change the landscape of forest genetics.

Module 17 screen shot

Module 17 — Reference Genome Sequencing

See other Conifer Genomics Modules

 

 

 

You can also watch the video on YouTube

Download the transcript

Cite This Learning Module

Wheeler, N., and Neale, D.B. Reference Genome Sequencing [Online Learning Module]. Pine Reference Sequence. eXtension Foundation. Available at: https://plant-breeding-genomics.extension.org/reference-genome-sequencing:-conifer-genomics-module-17/ (verified April 29, 2013)
 

Funding Statement

The Conifer Reference Genome Sequencing (PineRefSeq) Project developed this resources with funding provided by the USDA/NIFA Grant #2011-67009-30030. Development of this page was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.

Attachments:

PinRefSeq.pdf (8.73 MB)

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Plant Breeding and Genomics Learning Lessons

imageCurricula designed for the continuing education of plant breeding professionals and student learners
These lessons are designed for the continuing education of plant breeders and students.

 

Bioinformatics
Experimental Design
Statistical Inference
    Analysis with R
    Analysis with SAS
Phenotyping
Population Development and Genetics
Molecular Markers and Genotyping
Genetic Mapping and QTL Analysis
Breeding and Selection
Polyploidy
Techniques

 

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A Recipe for the Perfect Salsa Tomato: NAPB Webinar

This presentation is part of the “How to Breed New Plant Varieties: Imagining and Engineering Crops” series and describes how processing tomatoes are bred.

The recording will be available soon.

Original Broadcast: Tuesday, April 29, 2014

About the Webinar

Dr. David Francis from The Ohio State University will present a webinar on the breeding of tomatoes.

Find all upcoming and archived webinars »

About the Presenter

David Francis is a professor of Horticulture and Crop Sciences at The Ohio State University. Dr. Francis’ research program aims to understand the processes involved in plant disease resistance and fruit quality while contributing to the applied goal of developing tomato varieties adapted to a humid environment.

Dr. David Francis

Resources

Slides from the Webinar

TomatoLab Youtube

Pollinating tomato video

Tomato seed saving video

C. M. Rick Tomato Genetic Resources Center

Tutorial:  Germplasm Resources Information Network

System Requirements

PC-based attendees
Required: Windows® 7, Vista, XP or 2003 Server
Macintosh®-based attendees
Required: Mac OS® X 10.6 or newer
Mobile attendees
Required: iPhone®, iPad®, Android™ phone or Android tablet

Java needs to be installed and working on your computer to join the webinar. If you have concerns, please test your Java at http://java.com/en/download/testjava.jsp prior to joining the webinar. If you are running Mac OS X 10.6 with Safari, please be sure to test your Java. If it isn’t working, please try Firefox (http://www.mozilla.com) or Chrome (http://www.google.com/chrome). The webinar program will require you to download software before connecting you to the webinar, so if you don’t have administrative rights on your computer, you may not be able to do this, although you can listen in by phone. If you’d like to test your connection to gotowebinar in advance, go here.

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Mapping Economically Important Traits In Tetraploid Potato Using Genome-Wide SNPs

Author:

David Douches, Michigan State University

A colloquium presentation recorded live at the 2012 American Society for Horticultural Science meeting in Miami, Florida

 Mapping Economically Important Traits In Tetraploid Potato Using Genome-Wide SNPs. David Douches.

If you experience problems viewing this video connect to our YouTube channel or see the YouTube troubleshooting guide.

View all of the colloquium presentations at ASHS 2012.

 

About the Webinar

This webinar is a live broadcast of a colloquim featuring SolCAP project members at the 2012 American Society for Horticultural Science(ASHS) conference in Miami, Florida. 

Funding Statement

Development of this page was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.
 

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Genomic Relationships and GBLUP

Author:

Fikret Isik, North Carolina State University

This tutorial describes calculations of realized genomic relationships from DNA markers and the application of GBLUP for genomic estimated breeding values in animal and plant breeding. Two demos are provided using R and ASReml software. The tutorial was recorded as a live webinar on August 1, 2013.

Learning Objectives

  • Estimate realized genomic relationships (G matrix) using SNP markers with different methods
  • Compare realized genomic relationships with pedigree based genetic relationships (A matrix)
  • Calculate genomic estimated breeding values using the inverse of the G matrix 

Software Links 

R Statistical Software (Open Source)
Bioconductor: GeneticsPed Package (Open Source)
ASReml

Supplemental Files (attached below)

R Scripts
     Calculate genomic relationships: Gmatrix_webinar.R
     Calculate inverse of G Matrix: Ginverse_Webinar.R
Data Files Used in Demostrations
     ped.ped
     C165pedmatrix.csv
     data.csv
     Genotype_c.csv
     Marker.txt

Part 1 Introduction and Marker Matrices

Part 2 Calculating Genomic Relationships (G matrix): R Demonstration 

Part 3 Genetic evaluation with ABLUP and GBLUP: ASReml Demonstration

Full Recording

About the Presenter

Fikret T. Isik

Fikret Isik is Associate Professor and Associate Director of North Carolina State University Cooperative Tree Improvement Program. Dr. Isik has been awarded with USDA Secretary’s Honor Award, NATO post-doctoral fellowships, and the Turkish Higher Education Council honorary Associate Professor of genetics. He is currently involved in the following areas of research: 1) genomic prediction methods in forest tree breeding and development of tree breeding strategies for genomic era; 2) development of a quantitative model of the pathways and regulation of lignin biosynthesis in poplar and 3) pathogen by pine genotype interactions in the fusiform rust – Pinus taeda pathosystem.

Related Publication

Zapata-Valenzuela, J., Whetten, R. W., Neale, D. B., McKeand, S. E., & Isik, F. (2013). Genomic Estimated Breeding Values Using Genomic Relationship Matrices in a Cloned Population of Loblolly Pine. G3: Genes| Genomes| Genetics.

Recommended Reading

Forni, S., Aguilar, I., & Misztal, I. (2011). Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information. Genetics Selection Evolution, 43(1).

Henderson, C. R. (1984). Linear models in animal breeding.

Lynch, M., & Walsh, B. (1998). Genetics and analysis of quantitative traits.

Mrode, R. A., & Thompson, R. (2005). Linear models for the prediction of animal breeding values. Cabi, UK.

VanRaden, P. M. (2008). Efficient methods to compute genomic predictions. Journal of Dairy Science, 91(11), 4414-4423.

Funding Statement

Development of this resource was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, Dry Bean Root Health East Africa, National Institute of Food and Agriculture (NIFA) Coordinated Agricultural Project Conifer Translational Genomics Network and NC State University Cooperative Tree Improvement Program. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.

 

Attachments:

GBLUP_Webinar_Slides.pdf (2.18 MB)

Supplementary Files.zip (872.53 KB)

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David S. Douches

David S. Douches is the Director of the Plant Breeding, Genetics and Biotechnology Interdepartmental Graduate Program at Michigan State University and is the Faculty coordinator for the Michigan State University Montcalm Potato Research Center. David is the principle scientist of the Michigan State University potato breeding and genetics project and co-PI in the North Central Regional Potato Breeding and Genetics project. David is the PI/Director of the multi-institutional USDA/AFRI grant, SolCAP: translational genomics for potato and tomato (2011 USDA Secretary’s Honors Award).

David has over 30 years of experience in potato breeding and genetics, and has directed an active potato breeding program for the development of improved cultivars in Michigan for 25 years. The focus of his program is to develop new cultivars for Michigan’s potato industry by integrating new genetic engineering techniques with conventional breeding efforts.  Key traits targeted for improvement Colorado potato beetle resistance, disease resistance to scab, late blight, PVY, and chip processing from long-term storage.  Numerous lines bred in the program are currently being tested in commercial field trials in Michigan in collaboration with the Michigan Potato Industry Commission. His research lab also provides a potato fingerprint service since 1990. 

Contact Information

Email

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Effects of Human Selection on Elite Tomato Germplasm and Implications for Genome-Based Selection

Author:

David Francis, Ohio State University

A colloquium presentation recorded live at the 2012 American Society for Horticultural Science meeting in Miami, Florida

 The Effects of Human Selection on Elite Tomato Germplasm and Implications for Genome-based Selection. David Francis. 

If you experience problems viewing this video connect to our YouTube channel or see the YouTube troubleshooting guide.

PDF of the presentation

View all of the colloquium presentations at ASHS 2012.

 

About the Webinar

This webinar is a live broadcast of a colloquim featuring SolCAP project members at the 2012 American Society for Horticultural Science(ASHS) conference in Miami, Florida. 

Funding Statement

Development of this page was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.
 

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Population Development and Genetics

These tutorials describe the development and use of breeding populations as well as the effect of population genetics structure on linkage.

Germplasm

Population Structure and Linkage

 

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Amy Iezzoni

Amy Iezzoni is a Professor at Michigan State University in the Department of Horticulture. Amy is a tart cherry breeder working in several areas of cherry improvement and genetics. She is working to incorporate disease resistance from a wild cherry species into commercially acceptable tart cherry cultivars. Understanding the genetic control of trait variation, is important to Amy’s research program. She currently uses genetic markers to improve fruit quality and predict whether a selection will be self-sterile or self-fertile. 

Contact Information

Email

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Investigating Breeding Priorities Using Socioeconomic Methods

Authors:

Dr. Karina Gallardo Ph.D., Washington State University; Huixin Li, Washington State University

This webinar, recorded April 17, 2013, explores the application of survey data to determine how breeding targets are prioritized within Rosaceous breeding programs, and how socioeconomic challenges affect the determination and implementation of breeding priorities.

About the Presenters


R. Karina Gallardo is an Assistant Scientist Extension Specialist in the School of Economic Sciences. She is stationed at the Tree Fruit Research and Extension Center and is affiliated faculty of the Center for Precision and Automated Agricultural System at Washington State University. She holds a BS in Food Science from Universidad Nacional Agraria La Molina (Lima, Peru), a Master in Science in Agricultural Economics from Mississippi State University and a PhD in Agricultural Economics from Oklahoma State University. Karina’s primary research and outreach goal is to enhance value-added agribusiness opportunities for specialty crops in the state of Washington. Her areas of research are focused on consumer demand analysis and the economics of technological change. Karina is conducting research assessing consumers’ preferences for fresh fruit quality, and understanding the profitability and various other factors affecting growers’ adoption of new technologies, such as new cultivars, improved pest management systems, and labor enhancing mechanisms.


Huixin Li is a PhD student in the School of Economic Sciences at Washington State University advised by Vicki McCracken.

 

Introduction to RosBREED and Socio-Economic Objectives (Part 1 of 3)

If you experience problems viewing this video connect to our YouTube channel or see the YouTube troubleshooting guide.

Breeder’s Survey Data Analysis with SAS (Part 2 of 3)

If you experience problems viewing this video connect to our YouTube channel or see the YouTube troubleshooting guide.

Results and Conclusions (Part 3 of 3)

If you experience problems viewing this video connect to our YouTube channel or see the YouTube troubleshooting guide.

Recommended Reading

Gallardo, R. K., Nguyen, D., McCracken, V., Yue, C., Luby, J., & McFerson, J. R. (2012). An Investigation of Trait Prioritization in Rosaceous Fruit Breeding Programs. HortScience, 47(6), 771-776.

Yue, C., Gallardo, R. K., McCracken, V. A., Luby, J., McFerson, J. R., Liu, L., & Iezzoni, A. (2012). Technical and Socioeconomic Challenges to Setting and Implementing Priorities in North American Rosaceous Fruit Breeding Programs. HortScience, 47(9), 1320-1327.

Register for Upcoming Webinars and View Archive 

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