DOE Joint Genome Institute

  • COVID-19
  • About Us
  • Contact Us
  • Our Science
    • DOE Mission Areas
    • Science Programs
    • Science Highlights
    • Scientists
    A vertical tree stump outdoors with about a dozen shiitake mushrooms sprouting from its surface.
    Tracing the Evolution of Shiitake Mushrooms
    Understanding Lentinula genomes and their evolution could provide strategies for converting plant waste into sugars for biofuel production. Additionally, these fungi play a role in the global carbon cycle.

    More

    Soil Virus Offers Insight into Maintaining Microorganisms
    Through a collaborative effort, researchers have identified a protein in soil viruses that may promote soil health.

    More

    Data yielded from RIViT-seq increased the number of sigma factor-gene pairs confirmed in Streptomyces coelicolor from 209 to 399. Here, grey arrows denote previously known regulation and red arrows are regulation identified by RIViT-seq; orange nodes mark sigma factors while gray nodes mark other genes. (Otani, H., Mouncey, N.J. Nat Commun 13, 3502 (2022). https://doi.org/10.1038/s41467-022-31191-w)
    Streamlining Regulon Identification in Bacteria
    Regulons are a group of genes that can be turned on or off by the same regulatory protein. RIViT-seq technology could speed up associating transcription factors with their target genes.

    More

  • Our Projects
    • Search JGI Projects
    • DOE Metrics/Statistics
    • Approved User Proposals
    • Legacy Projects
    A panoramic view of a lake reflecting a granite mountain.
    Genome Insider: Methane Makers in Yosemite’s Lakes
    Meet researchers who sampled the microbial communities living in the mountaintop lakes of the Sierra Nevada mountains to see how climate change affects freshwater ecosystems, and how those ecosystems work.

    Listen

    A light green shrub with spiny leaves, up close.
    Genome Insider: A Shrubbier Version of Rubber
    Hear from the consortium working on understanding the guayule plant's genome, which could lead to an improved natural rubber plant.

    Listen

    The switchgrass diversity panel growing at the Kellogg Biological Station in Michigan. (David Lowry)
    Mapping Switchgrass Traits with Common Gardens
    The combination of field data and genetic information has allowed researchers to associate climate adaptations with switchgrass biology.

    More

  • Data & Tools
    • IMG
    • Data Portal
    • MycoCosm
    • PhycoCosm
    • Phytozome
    • GOLD
    iPHoP image (Simon Roux)
    iPHoP: A Matchmaker for Phages and their Hosts
    Building on existing virus-host prediction approaches, a new tool combines and evaluates multiple predictions to reliably match viruses with their archaea and bacteria hosts.

    More

    Abstract image of gold lights and squares against a black backdrop
    Silver Age of GOLD Introduces New Features
    The Genomes OnLine Database makes curated microbiome metadata that follows community standards freely available and enables large-scale comparative genomics analysis initiatives.

    More

    Graphical overview of the RNA Virus MetaTranscriptomes Project. (Courtesy of Simon Roux)
    A Better Way to Find RNA Virus Needles in the Proverbial Database Haystacks
    Researchers combed through more than 5,000 data sets of RNA sequences generated from diverse environmental samples around the world, resulting in a five-fold increase of RNA virus diversity.

    More

  • User Programs
    • Calls for Proposals
    • Special Initiatives & Programs
    • Product Offerings
    • User Support
    • Policies
    • Submit a Proposal
    Green plant matter grows from the top, with the area just beneath the surface also visible as soil, root systems and a fuzzy white substance surrounding them.
    Supercharging SIP in the Fungal Hyphosphere
    Applying high-throughput stable isotope probing to the study of a particular fungi, researchers identified novel interactions between bacteria and the fungi.

    More

    Digital ID card with six headshots reads: Congratulations to our 2022 Function Genomics recipients!
    Final Round of 2022 CSP Functional Genomics Awardees
    Meet the final six researchers whose proposals were selected for the 2022 Community Science Program Functional Genomics call.

    More

    croppe image of the JGI helix sculpture
    Tips for a Winning Community Science Program Proposal
    In the Genome Insider podcast, tips to successfully avail of the JGI's proposal calls, many through the Community Science Program.

    Listen

  • News & Publications
    • News
    • Blog
    • Podcasts
    • Webinars
    • Publications
    • Newsletter
    • Logos and Templates
    • Photos
    2022 JGI-UC Merced interns (Thor Swift/Berkeley Lab)
    Exploring Possibilities: 2022 JGI-UC Merced Interns
    The 2022 UC Merced intern cohort share how their summer internship experiences have influenced their careers in science.

    More

    image from gif that shows where in the globe JGI fungal collaborators are located.
    Using Team Science to Build Communities Around Data
    As the data portals grow and evolve, the research communities further expand around them. But with two projects, communities are forming to generate high quality genomes to benefit researchers.

    More

    Cow Rumen and the Early Days of Metagenomics
    Tracing a cow rumen dataset from the lab to material for a hands-on undergraduate research course at CSU-San Marcos that has since expanded into three other universities.

    More

News & Publications
Home › Blog › From Berkeley to Binghamton: Tracking Strawberry Evolution

July 12, 2023

From Berkeley to Binghamton: Tracking Strawberry Evolution

a picture of cotton growing in the wild, cut up strawberries on a cutting board, and camelina grass growing in the wild

Left to right: cotton, strawberries, and Camelina sativa are among the plants to which researchers applied the subgenome identification method. (Cotton Inc., Strawberry via Pixabay, Camelina by Fornax via Wikimedia Commons, CC-SA 3.0)

In the summer of 2015, Adam Session was a postdoc working at the DOE Joint Genome Institute with Dan Rokhsar, who also holds a joint appointment with the University of California, Berkeley. Nowadays, Session is an Assistant Professor at Binghamton University in New York. He and Rokhsar have recently published a Nature Communications paper that builds off their early collaborations that could help crop breeders and researchers predict how crops and model organisms may evolve. 

Determining the genetic codes of plants is often challenging because in many plants chromosomes are present in more than two copies, a condition known as polyploidy. The multiple copies arise from past genome duplication, which occurs in two basic ways. In “autopolyploids”, genome duplication occurs within a single species. By contrast, “allopolyploids” arise when different ancestral species crossbreed before genome doubling. In allopolyploids, the set of chromosomes from each ancestor is called a subgenome. Session and Rokhsar, building on work with former JGI postdoc Jarrod Chapman, developed a method to correctly identify polyploid subgenomes without needing to know the genomes of their ancestors.

The method was tested on a number of plants, including genomes of cotton lineages and the oilseed crop false flax – genomes that have been sequenced by the JGI – and the common strawberry, which is octoploid (eight copies of each chromosome). All of these genomes are available on the JGI plant portal Phytozome. “The broad applicability of the method is likely the most important, but also the ability to understand the complicated evolutionary history of strawberry in such detail is biologically interesting,” Session said. 

The Kmer Subgenome Identification method can be accessed here so that, Session said, other scientists can “follow a step-by-step process to apply it to any genome of interest.” This figure outlines the general methodology he and Rokhsar came up with:

Picture describing method that was used by Adam Session and Dan Rokhsar

Outline of the method. (Nat Commun. 2023. https://doi.org/10.1038/s41467-023-38560-z

Until they came up with this new method, Session mentioned that the analysis for determining the evolutionary history of strawberries wasn’t completely accurate. “They took every single gene from octoploid strawberry, compared it to other non-polyploid strawberries, and said ‘whichever gene you’re the closest to is the one I’m going to say you evolved from’,” he said. “This approach could work if genes from all possible candidate ancestors are available. Our method clearly identifies the four subgenomes based on non-genic sequences.” 

In his words, the history of the strawberry is complicated because, “when you have comparisons to other closely related species, it’s hard to analyze. The ancestors are a bit hard to identify and there’s a small possibility that something could be missing from the analysis (due to extinction or you didn’t sample it). But once we deciphered the subgenomes we came up with a simple series of events leading from multiple small wild strawberry species to the beautiful strawberries you find at the market.”

Session credited his time with Rokhsar (both during and after his time at the JGI) as a helpful influence for both developing the method and publishing the paper. “I would say there was a lot back-and-forth, y’know, over the decade that I worked with Dan to develop this specific procedure.” The rapport they built during this project and others (including the dissertation that preceded his JGI postdoc) was influential in “creating an early algorithm and developing it in order to talk about the subgenome identity.” 

These days, Session is starting his lab at Binghamton “studying polyploids and transposon evolution, expanding on this kind of analysis in more species, as well as modifying this method to study other types of problems surrounding differential distribution of repeats in genomes.” He’s working with Rokhsar on a newer genome project, and enjoys the fact that he can use what they’ve developed here to further future research and answer complex questions.

Publication:

  • Session AM and Rokhsar DS. Transposon signatures of allopolyploid genome evolution. Nat Communications. 2023 Jun 1. doi: 10.1038/s41467-023-38560-z

Related Links:

  • Binghamton University news release: The ingredients for a strawberry: New method traces ancestry of hybrids
  • Phytozome plant portal
  • JGI Feature: Meet a JGI Postdoc: Adam Session

Share this:

  • Click to share on Facebook (Opens in new window)
  • Click to share on LinkedIn (Opens in new window)
  • Click to share on Pinterest (Opens in new window)
  • Click to share on Twitter (Opens in new window)
  • Click to print (Opens in new window)

The U.S. Department of Energy Joint Genome Institute, a DOE Office of Science User Facility at Lawrence Berkeley National Laboratory, is committed to advancing genomics in support of DOE missions related to clean energy generation and environmental characterization and cleanup. JGI provides integrated high-throughput sequencing and computational analysis that enable systems-based scientific approaches to these challenges. Follow @jgi on Twitter.

DOE’s Office of Science is the largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.

Filed Under: Blog, News Releases

More topics:

  • COVID-19 Status
  • News
  • Science Highlights
  • Blog
  • Webinars
  • CSP Plans
  • Featured Profiles

Related Content:

Natural Prodcast Episode 21 – Elizabeth Parkinson

Natural Prodcast podcast logo

A Collaboration to Improve Plant Genome Annotations Across Species

A tiled collage of square photos of different plants - soybeans, and sorghum, for example.

Request for Information: BERAC Unified Data Framework

Image of network data cables courtesy of Berkeley Lab

An Earth Month Look at Sustainability Efforts at the JGI

Three people standing outside, holding garden pots where succulents are growing.

JGIota: A biofuel breakthrough in anaerobic fungi with Michelle O’Malley and Tom Lankiewicz

A Genome Insider Logo Image

JGIota: Sequencing Shiitakes with David Hibbett

A Genome Insider Logo Image
  • Careers
  • Contact Us
  • Events
  • User Meeting
  • MGM Workshops
  • Internal
  • Disclaimer
  • Credits
  • Policies
  • Emergency Info
  • Accessibility / Section 508 Statement
  • Flickr
  • LinkedIn
  • RSS
  • Twitter
  • YouTube
Lawrence Berkeley National Lab Biosciences Area
A project of the US Department of Energy, Office of Science

JGI is a DOE Office of Science User Facility managed by Lawrence Berkeley National Laboratory

© 1997-2023 The Regents of the University of California