May 27, 2026
About this newsletter:
This is the May 2026 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community.

The Yeast Genetics Meeting is the premier meeting for people studying various aspects of eukaryotic biology in yeast, the major model organism for understanding human cell biology and human disease mechanisms. This international meeting has a 40-year history and is held every two years in North America.
The SGD team will be at this year’s Yeast Genetics Meeting at Asilomar, and we’d love to connect with you! We’re hosting a workshop and will have a table and posters throughout the conference.
Workshop: Unlocking Yeast Biology with SGD: Tools, Data, and Discovery
Monday, June 15, 2026 | 3:30 p.m. – 5:30 p.m.
Learn how to leverage the Saccharomyces Genome Database (SGD) to accelerate your research. This workshop will highlight key tools, curated datasets, and practical strategies for exploring gene function, pathways, and genomic data in Saccharomyces cerevisiae. Whether you’re a longtime SGD user or new to the resource, you’ll discover ways to make the most of SGD’s comprehensive data and analysis tools.
Stop by our table and posters during the meeting to chat with the SGD team, share your feedback, ask questions, or learn about the latest updates to SGD and the Alliance of Genome Resources. We look forward to seeing you there!

We’re excited to announce the launch of a new BLAST service for Saccharomyces Genome Database (SGD) data, now available at the Alliance of Genome Resources. This release marks another significant milestone in our ongoing effort to migrate SGD services and data to the Alliance platform, ensuring continued access to essential yeast genomics tools within an integrated, multi-organism framework.
What’s New
The Alliance BLAST service provides researchers with powerful sequence similarity search capabilities against SGD datasets, maintaining the functionality that the yeast research community has relied on for years while benefiting from the Alliance’s modern infrastructure and cross-species integration.
Key Features
Part of a Broader Migration
This BLAST service is part of our comprehensive strategy to transition SGD resources to the Alliance of Genome Resources. This migration ensures that:
Visit the Alliance of Genome Resources to access the new services for SGD BLAST and Fungal BLAST. The datasets will be familiar to longtime SGD users.
We remain committed to supporting the yeast research community through this transition. Additional SGD tools and features will continue to migrate to the Alliance platform in the coming months. Stay tuned for updates, and as always, we welcome your feedback.
Textpresso is a specialized literature search tool provided by SGD that allows users to search through full-text scientific articles using keywords.

It’s particularly useful for finding specific mentions of genes, phenotypes, or experimental details that might not appear in article abstracts.
Textpresso has implemented a new authentication system using Amazon Cognito as part of the ongoing migration to the Alliance of Genome Resources infrastructure. Previously, Textpresso could be used without logging in, but going forward, all users will need to create a free account through a simple self-signup process. The new system provides secure authentication while maintaining the powerful literature search capabilities researchers depend on. When you next visit Textpresso, you’ll be prompted to create an account using your email address. You’ll receive a verification code to complete the setup, and then you’ll be ready to search. Your existing Textpresso bookmarks will continue to work, you’ll just need to log in first. More information: http://textmining.textpresso.org/new-login-system/
Have you discovered the function of a previously uncharacterized Saccharomyces cerevisiae gene? Here’s everything you need to know about giving it an official standard name.
Understanding Yeast Gene Nomenclature
SGD maintains the S. cerevisiae nomenclature according to guidelines established by the yeast research community. These conventions ensure consistency and clarity across the field, making it easier for researchers worldwide to communicate about genes and their functions.
The Naming Rules
Valid standard names for S. cerevisiae ORFs follow a simple but important format:
This naming convention has served the yeast community well for decades, creating an intuitive system where gene names often provide immediate clues about biological roles.
How to Reserve Your Gene Name
If you’re preparing to publish work on a gene that currently has only a systematic name (like YAL037W), reserve a standard name through SGD before publication. Here’s how:

The Reservation Process
Best Practices for Publication
When you’re ready to publish, we recommend:
✓ Double-check the literature to ensure your chosen name is still unique
✓ Include both the ORF name and gene name in your abstract – this helps SGD and other databases find and curate your paper efficiently
✓ Verify your reservation is still active if your publication timeline will extend beyond the initial twelve-month period
Need More Information?
You can review the nomenclature conventions for yeast on our Help pages. The complete gene naming process is described in detail in our Gene Naming Guidelines.
Questions?
The SGD team is here to help! If you have questions about the gene name reservation process or nomenclature guidelines, please don’t hesitate to contact us.
The 9.0.0 release includes data refreshes from each of the model organism source databases as well as various backend improvements.
Updates and improvements have been made to the following pages:
The 8.3.0 release includes data refreshes from each of the model organism source databases as well as various backend improvements.
Updates and improvements have been made to the following pages:
microPublication Biology is part of the emerging genre of rapidly-published research communications. microPublications publishes brief, novel findings, negative and/or reproduced results, and results which may initially lack a broader scientific narrative. Each article is peer-reviewed, assigned a DOI, and indexed through PubMed and PubMedCentral. Consider microPubublications when you have a result that doesn’t necessarily fit into a larger story, but will be of value to others. Latest yeast microPublications:
Recently, PomBase learned that their grant application to the UK’s Biotechnology and Biological Sciences Research Council (BBSRC) for three years of funding was unsuccessful.

This decision places PomBase on a path to closure. Without alternative support, which at present seems unlikely, Pombase will lose not only the database but also the specialist expertise required to curate, maintain, and develop it. All three staff are funded entirely through grants; when funding stops, the resource and the knowledge behind it disappear together.
PomBase, like SGD, is a core piece of scientific infrastructure. It underpins research far beyond the yeast community, enabling discovery, reproducibility, and data integration across the life sciences. Losing it would not be a local setback; it would be a permanent loss to the global research ecosystem.
This is not just about PomBase. Essential bioinformatics resources are at risk. Other model organism databases, like SGD and Flybase, are under the same funding squeeze. FlyBase now requires support by direct fees from the community to sustain its curation. The wider scientific community must choose to sustain the shared infrastructure that drives modern biology and innovation. The contraction of funding has exposed a systemic vulnerability in how we fund biological data resources. We urge funders, institutions, and the community to recognize what is at stake. Once lost, resources like PomBase, Flybase, and SGD cannot simply be rebuilt.

We are deeply saddened to share the news of the passing of David Botstein, a towering figure in modern genetics and a foundational force behind the Saccharomyces Genome Database (SGD).
SGD began in the early 1990s in David’s lab at Stanford University, and his vision for a rigorously curated, community-centered resource set the course for what SGD is today. His belief that carefully organized, interoperable data would accelerate discovery has guided our work from the start and continues to shape our mission.
David’s scientific impact is vast and enduring. He co-authored the landmark 1980 paper introducing the use of restriction fragment length polymorphisms (RFLPs) for human genetic mapping, a conceptual breakthrough that opened the door to finding disease genes well before whole-genome sequencing was possible. He later helped usher in the era of genome-wide expression analysis, demonstrating how systematic measurement and clustering of gene expression could illuminate cellular pathways, regulatory programs, and physiological states. Across decades, his work, leadership, and mentorship helped define the fields of genetics and genomics.
Yeast, and the global community that studies it, benefited enormously from David’s clarity of thought and sense of purpose. He championed model organisms as engines of insight, insisting that fundamental principles uncovered in yeast could illuminate biology more broadly. From the beginning, he advocated for standards, reproducibility, and open data, principles that remain at the heart of SGD. Many of the practices we still rely on, including careful literature-based curation, genotype-to-phenotype integration, and community engagement, grew directly from his vision.
David was also a gifted mentor and collaborator. He trained and inspired generations of scientists, curators, engineers, and students, encouraging bold ideas and rigorous tests of those ideas. Those who worked with him remember his incisive questions, his generosity with time and credit, and his unwavering commitment to getting the science right. His influence extends through the many people he mentored and the communities and institutes he helped build at MIT, Stanford, Princeton, and beyond.
To the SGD team, David’s legacy is personal. We have been honored to steward a resource he helped bring into being, and we remain committed to the principles he championed: accuracy, openness, and service to the community.
We extend our deepest condolences to David’s family, friends, colleagues, and the many people around the world who learned from and were inspired by him.
Note: If you wish to receive this newsletter via email, please contact the SGD Help Desk at sgd-helpdesk@lists.stanford.edu.
Categories: Newsletter
Tags: Newsletter
December 11, 2025
About this newsletter:
This is the December 2025 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community.
Budget cuts from NIH continue to strain SGD’s finances. Despite our efforts at reducing costs, we still have significant ongoing budgetary challenges. Donations are now critical for our work to continue. Your generous gift to SGD enables us to continue providing essential information for your research and teaching efforts. We are now able to accept gifts via credit card. To contribute using a credit card, please use this form: give.stanford.edu.
If you’d like to contribute by check, please contact us at: sgd-helpdesk@lists.stanford.edu
We thank you in advance for your support!

Baruch et al. have compiled and published A comprehensive overview of yeast libraries and their role in advancing cell biology, which describes a comprehensive list of genome-wide collections of Saccharomyces cerevisiae. They have grouped similar strain libraries together and have curated detailed descriptions, mating types, genotypes, references, and genome coverage. This information can help researchers identify strain libraries of interest to them. All of this information can also be found in tables on LibrarYeast. We have added links to these tables under the Resources section of individual Protein, Phenotype, and Interaction tabs.

This year, we celebrate and thank J. Michael “Mike” Cherry as he retires after decades of visionary leadership of the Saccharomyces Genome Database. From the earliest days of the yeast genome to today’s multi‑omic era, Mike helped shape SGD into the trusted, rigorously curated resource at the heart of the yeast community. His commitment to high‑quality data, interoperability, and open science empowered discoveries around the world, and his mentorship nurtured generations of curators, developers, and collaborators. Mike’s steady guidance, big‑picture thinking, and relentless focus on serving researchers have left a lasting legacy that will continue to guide SGD’s mission.
On November 14th, many past and current Cherry lab members gathered at Stanford to celebrate Mike’s career. Thank you to everyone who attended, and especially to everyone that shared stories or memories from the past 3 decades of SGD. Gavin Sherlock is SGD’s new PI, and he is hardly a stranger to SGD! Mike and Gavin published their first article together about SGD in Science all the way back in 1998: Chervitz et al., Comparison of the Complete Protein Sets of Worm and Yeast: Orthology and Divergence.
On behalf of the SGD team and the global yeast community, we extend our deepest gratitude to Mike and wish him joy and fulfillment in the next chapter.
Thank you, Mike, for everything.

If you’re itching for something to do over the winter break, have you checked your newly published data at SGD lately? SGD can use your help! Authors can submit data and information about their publications by pointing us to novel results, datasets (we appreciate GEO accession IDs!), or other important information, using SGD’s simple “Submit Data” form: https://www.yeastgenome.org/submitData.
The 8.2.0 release includes data refreshes from each of the model organism source databases as well as various backend improvements. The sequence viewers on the gene and allele pages have been restored on gene pages, in the Alleles and Variants and Sequence Feature Viewer sections, and on allele pages, in the Genomic Variant Information section (see for example the mouse gene Pten and mouse allele for Pten). Also, on the gene page Alleles and Variants section, interactions between the variant sequence viewer and the alleles/variants table have been restored. Website infrastructure is upgraded to React 19 and migrated to Vite.
On November 20, Tim Schedl, microPublication Biology Editorial Board member, presented an overview of the MicroPublication journal which publishes brief scholarly reports of research findings based on data presented in a single figure. View the recording of the latest Alliance of Genome Resources webinar: Introduction to MicroPublication Biology. Webinars are also planned for 2026, in January, February, and March. See the Event Calendar for the schedule of upcoming Alliance office hours and webinars.
The termination of the NIH/NHGRI FlyBase grant has placed the long-term sustainability of FlyBase at risk. However, thanks to the generous support of several key individuals and institutions, FlyBase has announced that they will remain operational through the coming year. Looking ahead, ensuring FlyBase’s sustainability beyond the next year – and successfully integrating with the Alliance – will require new funding sources. FlyBase, like SGD, is asking for continued donations from any and all Fly supporters. For more information on how to support FlyBase, see the FlyBase wiki:
WormBase announced their final release, WS298, on November 27, 2025. The existing WormBase website will continue provide access to this archived WS298 release of WormBase, and the content hosted there will no longer be updated except for essential maintenance to ensure continued availability. Ongoing curation, annotation, data updates, and new data for Caenorhabditis elegans will now be managed through the Alliance of Genome Resources. Users should refer to the Alliance for the most current worm datasets and continued resource development. Read more on the WormBase blog.
microPublication Biology is part of the emerging genre of rapidly-published research communications. microPublications publishes brief, novel findings, negative and/or reproduced results, and results which may initially lack a broader scientific narrative. Each article is peer-reviewed, assigned a DOI, and indexed through PubMed and PubMedCentral. Consider microPubublications when you have a result that doesn’t necessarily fit into a larger story, but will be of value to others. Latest yeast microPublications:
We want to take this opportunity to wish you and your family, friends, and lab mates the best during the upcoming holidays. Stanford University will be closed for two weeks starting end of day Friday, December 19th, and reopening on Monday, January 5th, 2026. Although SGD staff members will be taking time off, the website will be up and running throughout the winter break, and we will resume responding to user requests and questions in the new year.
Note: If you wish to receive this newsletter via email, please contact the SGD Help Desk at sgd-helpdesk@lists.stanford.edu.
Categories: Newsletter
April 30, 2025
About this newsletter:
This is the Spring 2025 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community.

Budget cuts from NIH continue to strain SGD’s finances. Despite our efforts at reducing costs, we still have significant ongoing budgetary challenges. Donations are now critical for our work to continue.
Your generous gift to SGD enables us to continue providing essential information for your research and teaching efforts. We are now able to accept gifts via credit card.
To contribute using a credit card, please use this form: give.stanford.edu.
If you’d like to contribute by check, please contact us at: sgd-helpdesk@lists.stanford.edu
Thank you for your support!

Saccharomyces Genome Database: Advances in Genome Annotation, Expanded Biochemical Pathways, and Other Key Enhancements has now been published in GENETICS and is available in the March 2025 issue.
Check out the most recent updates at SGD, including:

YeastPathways, the database of metabolic pathways and enzymes in the budding yeast Saccharomyces cerevisiae, is manually curated and maintained by the biocuration team at SGD.
This resource is jam-packed with information, but was somewhat hidden from view. We have been doing different things recently to make the pathways more readily accessible. Initially, we added a new section with pathways links on the relevant gene pages (ex. DFR1). Additionally, we made the pathways available in SGD Search. Now, we have transformed the metabolic pathways and associated genes/enzymes into Gene Ontology (GO) annotations (ex. DFR1).
Because many fundamental molecular processes and pathways are evolutionarily conserved between yeast and higher eukaryotes, including humans, the curated metabolic pathway information has great value for the transfer of knowledge to other organisms. It is for this reason that the YeastPathways data were exported in BioPAX (Demir et al. 2010) format for import into Noctua, a tool for collaborative curation of biological pathways and gene annotations that was developed by the GO Consortium (Thomas et al. 2019). BioPAX provides a standardized format for representing biological pathways, allowing researchers to integrate pathway information from different sources and databases. Noctua can import pathway data encoded in BioPAX format to populate the pathway editor with molecular interactions, biological processes, and regulatory relationships, and can utilize BioPAX files to combine pathway data from multiple datasets for pathway curation and analysis.
Pathways curated and edited in Noctua can be exported both as GO annotations for yeast and orthologous genes in other species, or as pathway annotations in BioPAX, facilitating the sharing of curated pathways with other researchers, databases, and analysis tools using a standard format, promoting data exchange, and collaboration within the scientific community.

The Yeast Phenome is a collaborative project from the Baryshnikova lab at Calico Life Sciences to create a comprehensive compendium of systematic loss-of-function phenotypes for the budding yeast Saccharomyces cerevisiae.
The Yeast Phenome systematically tracks, collects, and annotates all published phenotypic screens utilizing the yeast knock-out collection.
Locus-specific links to the Yeast Phenome are now available in the Resources section of the Phenotype tab and will take you directly to the corresponding page of the Yeast Phenome data library. Try it now: the SGD phenotype page for ARP1, and the linked ARP1 page at Yeast Phenome.

microPublication Biology is part of the emerging genre of rapidly-published research communications. microPublications publishes brief, novel findings, negative and/or reproduced results, and results which may initially lack a broader scientific narrative. Each article is peer-reviewed, assigned a DOI, and indexed through PubMed and PubMedCentral.
Consider microPubublications when you have a result that doesn’t necessarily fit into a larger story, but will be of value to others.
Latest yeast microPublications:
All yeast microPublications can be found in SGD.

The 8.1.0 release includes data refreshes from each of the model organism source databases as well as various backend improvements.
Recent changes in 8.0.0 and 8.1.0 include:
There is now an Event Calendar with the schedule of upcoming Alliance office hours and webinars: https://www.alliancegenome.org/event-calendar
Categories: Newsletter
December 13, 2024
About this newsletter:
This is the December 2024 issue of the SGD newsletter. The goal of this newsletter is to inform SGD users about new features from SGD and to foster communication within the yeast community.

We are thrilled to announce that we have now integrated AlphaFold protein structures into our protein pages! This cutting-edge addition provides detailed, high-accuracy 3D models of protein structures, offering invaluable insights into protein function and interactions. Researchers can now explore these comprehensive structural predictions directly within SGD, facilitating advanced studies in molecular biology and bioinformatics. Dive into the new AlphaFold protein structures and elevate your research with this powerful tool!
AlphaFold, developed by DeepMind, is an AI program that accurately predicts protein structures from amino acid sequences, enabling visualization of protein conformations.
The predicted structures can be accessed through the Protein Data Bank (PDB) and AlphaFold Protein Structure Database. Thanks to Kim Rutherford and Val Wood of Pombase for tips about adding AlphaFold structures to SGD.

Here at SGD we provide high-quality curated genomic, genetic, and molecular information on the genes and gene products of the budding yeast Saccharomyces cerevisiae. In 2011, SGD implemented InterMine, an open-source data warehouse system with a sophisticated querying interface, to better meet the complex and diverse needs of researchers searching and comparing data, resulting in the creation of YeastMine.
YeastMine is a multifaceted search and retrieval environment that provides access to diverse data types. Searches can be initiated with a list of genes, a list of Gene Ontology terms, or lists of many other data types. The results from queries can be combined for further analysis and saved or downloaded in customizable file formats. Queries themselves can be customized by modifying predefined templates or by creating a new template to access a combination of specific data types.
In July 2024, YeastMine was discontinued due to ongoing cuts in funding at SGD. However, we have moved the YeastMine data into AllianceMine, hosted by the Alliance of Genome Resources, of which SGD is a founding member. You can even access lists like “ALL_Verified_Uncharacterized_Dubious_ORFs” through the AllianceMine Lists just as you could in the previous versions of YeastMine. Ensure any bookmarks to YeastMine have been updated to match the new URL: https://www.alliancegenome.org/bluegenes/alliancemine. User documentation for the new YeastMine interface is available from InterMine.

The Global Biodata Coalition has an open letter campaign to show support for sustainable funding for biodata resources.
Please take a minute to read and sign- the form takes only seconds to fill out. Everyone – including students and postdocs, bioinformaticians and curators, PIs and directors – is invited to join those of us that have already added our signatures in support of the GBC. Find more information and sign at the GBC site.
As another casualty of decreased funding, SGD will no longer provide the Community Wiki. Some of the resources hosted on the wiki have been moved to our Help pages, the Alliance Community Forum, or remain available though the SGD downloads site. We thank all our past and current Community Wiki contributors, and invite the yeast community to join SGD on the Alliance Community forum.

Saccharomyces Genome Database: Advances in Genome Annotation, Expanded Biochemical Pathways, and Other Key Enhancements has now been published in GENETICS and is available as an accepted manuscript. Check out the most recent updates at SGD, including the two most recent reference genome annotation updates, expanded biochemical pathways representation, changes to SGD search and data files, and other enhancements to the SGD website and user interface.

microPublication Biology is part of the emerging genre of rapidly-published research communications. microPublications publishes brief, novel findings, negative and/or reproduced results, and results which may initially lack a broader scientific narrative. Each article is peer-reviewed, assigned a DOI, and indexed through PubMed and PubMedCentral.
Consider microPubublications when you have a result that doesn’t necessarily fit into a larger story, but will be of value to others.
Latest yeast microPublications:
All yeast microPublications can be found in SGD.

The Alliance of Genome Resources, a collaborative effort between SGD and other model organism databases (MODs), released version 7.4 in October 2024.
The 7.4.0 release includes ~2.5 million variants of clinical significance from ClinVar. The Alliance removed 400 million human variants from the search because their inclusion was hampering site performance. The removed variants are mostly of unknown or uncertain clinical significance. The Alliance has instead included over 2.5 million human variants of known clinical significance from ClinVar. This should speed up the performance of the search function and improve site stability. The Alliance will address inclusion of the other high throughput human variants in the future. More detailed information about the 7.4 Alliance release can be found in the release notes.

Budget cuts from NIH continue to strain SGD’s finances. Despite our efforts at reducing costs, we still have significant ongoing budgetary challenges. Donations are now critical for our work to continue.
Your generous gift to SGD will help us to continue providing essential information for your research and teaching efforts.
To contribute, please make checks payable to Stanford University, noting that “the funds should be used to support the Saccharomyces Genome Database project, under the direction of Drs. Sherlock and Cherry in the Department of Genetics, Stanford University. Account : GHJKO, Genetics : WAZC.”
Thank you for your support!
Kindly send by mail to:
Development Services
PO Box 20466
Stanford, CA 94309
CONTACT US: sgd-helpdesk@lists.stanford.edu

We want to take this opportunity to wish you and your family, friends, and lab mates the best during the upcoming holidays. Stanford University will be closed for two weeks starting end of day Friday, December 20th, and reopening on Monday, January 6th, 2025. Although SGD staff members will be taking time off, the website will be up and running throughout the winter break, and we will resume responding to user requests and questions in the new year.
Note: If you wish to receive this newsletter by email, please contact the SGD Help Desk at sgd-helpdesk@lists.stanford.edu.
Categories: Newsletter
June 20, 2024
About this newsletter:
This is the Summer 2024 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community. You can view this newsletter as well as previous newsletters, on the SGD Community Wiki.

Budget cuts from NIH continue to strain SGD’s finances. Despite our efforts at reducing costs, we still have significant ongoing budgetary challenges. Donations are now critical for our work to continue.
Your generous gift to SGD will help us to continue providing essential information for your research and teaching efforts.
To contribute, please make checks payable to Stanford University, noting that “the funds should be used to support the Saccharomyces Genome Database project, under the direction of Drs. Sherlock and Cherry in the Department of Genetics, Stanford University. Account : GHJKO, Genetics : WAZC.”
Thank you for your support!
Kindly send by mail to:
Development Services
PO Box 20466
Stanford, CA 94309
CONTACT US: sgd-helpdesk@lists.stanford.edu

The S. cerevisiae strain S288C reference genome annotation has been updated to include previously unannotated features. The new genome annotation is release R64.5.1, dated 2024-05-29. Note that the underlying genome sequence itself was not altered; the chromosome sequences remain stable and unchanged.
The R64.5.1 update included:
Various sequence and annotation files are available on SGD’s Downloads site. You can find more update details on the Details of 2024 Reference Genome Annotation Update R64.5 SGD Wiki page.
The saccharomyces_cerevisiae.gff contains sequence features of Saccharomyces cerevisiae and related information such as Locus descriptions and GO annotations. The saccharomyces_cerevisiae.gff is fully compatible with Generic Feature Format Version 3, and is updated weekly.
In recent years, SGD has made two significant changes to the GFF content (described in more detail below):
In November 2020, SGD updated the transcripts in the GFF file to reflect the experimentally determined transcripts (Pelechano et al. 2013, Ng et al. 2020), when possible. The longest transcripts were determined for two different growth media – galactose and dextrose. When available, experimentally determined transcripts for one or both conditions were added for a gene. When this data was absent, transcripts matching the start and stop coordinates of an open reading frame (ORF) were used.
Starting November 2020: BDH2/YAL061W with rows for longest transcripts expressed in GAL and in YPD.

Then in February 2024, SGD increased the start and stop coordinates of genes to encompass the start and stop coordinates of the longest experimentally determined transcripts, regardless of condition. This change was made in order to comply with JBrowse 2, a newer and more extensible genome browser, which requires that parent features in GFF files (genes) are larger than child features (mRNA, CDS, etc) (Diesh et al., 2023).
After February 2024: BDH2/YAL061W with expanded start/stop coordinates for ‘gene’, still with rows for longest transcripts expressed in GAL, YPD.

GFF is a standard format used by many groups. SGD uses the GFF file to load the reference tracks in SGD’s genome browser resource.

SGD is jam-packed with information, with new data being added every day. It’s a lot to keep up with, and with so much info, some inevitably ends up hidden from view. To make the various data types in SGD more readily accessible, we have made various improvements to the SGD search:

microPublication Biology is part of the emerging genre of rapidly-published research communications. microPublications publishes brief, novel findings, negative and/or reproduced results, and results which may initially lack a broader scientific narrative. Each article is peer-reviewed, assigned a DOI, and indexed through PubMed and PubMedCentral.
Consider microPubublications when you have a result that doesn’t necessarily fit into a larger story, but will be of value to others.
Latest yeast microPublications:
All yeast microPublications can be found in SGD.

The Alliance of Genome Resources, a collaborative effort between SGD and other model organism databases (MODs), released version 7.2 in June 2024.
The 7.2.0 release updates the Associated Alleles and Associated Models tables on Disease pages:
Categories: Newsletter
December 13, 2023
About this newsletter:
This is the December 2023 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community. You can view this newsletter, as well as previous newsletters, on the SGD Community Wiki.
The S. cerevisiae strain S288C reference genome annotation was updated. The new genome annotation is release R64.4.1, dated 2023-08-23. Note that the underlying genome sequence itself was not altered in any way.
This annotation update included:
new uORFs for 3 ORFs:
8 new ncRNAs:
3 ORFs demoted from ‘Uncharacterized’ to ‘Dubious’ based on request from NCBI because they overlap tRNAs:
Various sequence and annotation files are available on SGD’s Downloads site. You can find more update details on the Details of 2023 Reference Genome Annotation Update R64.4 SGD Wiki page.

SGD’s instance of Textpresso has recently been updated! Each week, SGD biocurators triage new publications from PubMed to load the newest yeast papers into the database. Once they are in SGD, those papers get indexed and loaded into Textpresso – a tool for full-text mining and searching.
This is the new part: Content updates in SGD’s Textpresso are now happening on a weekly basis, meaning you can search full text of the very latest yeast papers!
You already love Textpresso for searching full text and its other bells and whistles:
Textpresso can be accessed via the “Full-text Search” link under “Literature” in the purple toolbar that runs across the top of most SGD webpages. Now you can search full text of the very latest yeast papers each week!

YeastPathways, which is the database of metabolic pathways and enzymes in the budding yeast Saccharomyces cerevisiae, is manually curated and maintained by the curation team at SGD.
This resource is jam-packed with information, but somewhat hidden from view. To make the pathways more readily accessible, some time ago we added a new section with pathways links on the relevant gene pages. Now the pathways are available in SGD Search!
The category “Biochemical Pathways” is now available, with facets (i.e., subcategories) for References and Loci. For even easier access, we also added the Pathway names and IDs to the autocomplete in the Search box, to enable quick browsing. Enjoy!

microPublication Biology is part of the emerging genre of rapidly-published research communications. We are seeing a strong set of microPublications come through the database and are glad for this venue to publish brief, novel findings, negative and/or reproduced results, and results which may initially lack a broader scientific narrative. Each article is peer-reviewed, assigned a DOI, and indexed through PubMed and PubMedCentral.
Consider microPubublications when you have a result that doesn’t necessarily fit into a larger story, but will be of value to others.
Latest yeast microPublications:
All yeast microPublications can be found in SGD.

YeastMine is SGD’s data warehouse, powered by InterMine. We have so many templates (i.e., pre-defined queries) that provide access to so many different kinds of data.
A big area of focus for SGD and the yeast community is alleles. Alleles are different versions of genes that vary in DNA and sometimes protein sequence. Did you know that you can easily and quickly get all curated yeast allele data directly from YeastMine?
The Genes -> Alleles template returns data for one gene or a list of genes or the entire genome! Data include standard and systematic names for genes, gene name descriptions, allele names and descriptions, allele types, aliases, and references. SGDIDs for genes are included, and now SGDIDs for the alleles have been added. Previously, this query returned all of these data without the SGDIDs for the alleles. Based on user feedback, we have now made these allele SGDIDs available, so that they can be used to identify and distinguish different alleles.
Back in the day, SGD maintained an FTP site to distribute data in various files. More recently, you have found these files in the SGD Downloads site. We have now moved these files to YeastMine:
From the YeastMine homepage, click Templates at top left. In the Filter, select ‘Downloads’ to constrain the list of templates.
The following query templates are listed under Downloads:
For help using YeastMine, please see the SGD Help Pages and our YeastMine playlist on the SGD YouTube Channel.

SGD curators use the Chemical Entities of Biological Interest (ChEBI) Ontology, maintained by EMBL-EBI, to describe chemicals used in experiments curated from yeast publications and displayed on SGD webpages.
You may have noticed that we have recently added chemical structures provided by ChEBI to the Chemical pages in SGD! Click the structure to zoom in, click again to zoom back out.
It’s a small detail, but we love this feature, and hope that you do too! Thanks, ChEBI!

The Alliance of Genome Resources, a collaborative effort between SGD and other model organism databases (MOD), released version 6.0 in September 2023.
Version 6.0 adds new features to gene pages:

Discourse, Mastodon, BlueSky – oh my! Social media is in a chaotic period, with once tight-knit communities having been dismantled and thrown into the ether. SGD feels your pain; we have been searching for our audience, waiting for the stardust to settle, coagulate, coalesce…. In the interim, in an effort to reach you, we have set up SGD outposts on various platforms:
Discourse: The Alliance of Genome Resources Community Forum brings together communities of the major model organisms – yeast, worm, fly, zebrafish, frog, rat, and mouse – in one place. Users can create accounts to post announcements and questions, and chat with other researchers in a science-focused arena. Contact SGD for an invited account, which has additional permissions.
Mastodon: We’re just getting started with Mastodon; follow SGD at @yeastgenome@genomic.social
BlueSky: We’ve also just begun with BlueSky; follow SGD at @yeastgenome.bsky.social
We will be cross-posting to the various accounts – come find SGD on these platforms and we can navigate this latest social media adventure together!

We want to take this opportunity to wish you and your family, friends and lab mates the best during the upcoming holidays. Stanford University will be closed for two weeks starting December 21, reopening on January 4th, 2024. Although SGD staff members will be taking time off, the website will be up and running throughout the winter break, and we will resume responding to user requests and questions in the new year.
Note: If you no longer wish to receive this newsletter, please contact the SGD Help Desk at sgd-helpdesk@lists.stanford.edu.
Categories: Newsletter
Tags: Newsletter
June 22, 2023
About this newsletter:
This is the Summer 2023 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community. You can view this newsletter as well as previous newsletters, on the SGD Community Wiki .

Biochemical pathways have been added to SGD search in order to facilitate easy access to metabolic yeast pathway pages at YeastPathways .
YeastPathways is a database of metabolic pathways and enzymes in the budding yeast Saccharomyces cerevisiae . YeastPathways content is manually curated and maintained by the curation team at SGD, your model organism database for budding yeast. Check it out! 👀 http://yeastgenome.org/search?q=&category=pathway
Manual curation of pathways is an ongoing process at SGD. We welcome feedback from the research community. Please feel free to contact us with any questions or comments.

The May 2023 issue of GENETICS features the second annual collection of Model Organism Database articles.
Scientists from Alliance of Genome Resources member groups SGD , RGD , ZFIN , Gene Ontology , and Xenbase have provided updates on recent activities and innovations.
Be sure to browse the issue and get acquainted with these excellent Knowledgebase and Database Resource papers at GENETICS.

We are proud that SGD has been included in the first list of Global Core Biodata Resources (GCBRs) announced last December by the Global Biodata Coalition (GBC)! This collection of 37 resources comprises deposition databases which archive and preserve primary research data, and knowledgebases, such as SGD, that add value to research data through expert curation and annotation. The list is meant to highlight those data resources whose long term funding and sustainability is critical to life science and biomedical research worldwide.
GCBRs represent the most crucial resources within the global life science data community. SGD’s selection as a key global data resource recognizes that SGD is essential to the global research endeavor.
For more information regarding the Global Biodata Coalition, including a link to the full list of selected core biodata resources, please see the full press release from the GBC.

SGD recently updated our RNA pages to add secondary structures provided by RNAcentral and generated by R2DT .
Thumbnails and linkouts to RNAcentral via RNAcentral IDs are shown on the Summary and Sequence pages. Interactive secondary structure viewers are available on the Sequence pages.
Take the pages for a spin! For more information about the structures, please see the Help page at RNAcentral.

The new website CoSMoS.c. – Conserved Sequence Motif in Saccharomyces cerevisiae – may be of interest to investigators who study protein modifications in budding yeast. The new web-based search algorithm scores conservation of amino acid sequences based on whole-genome sequencing of 1000+ wild and domesticated yeast isolates.
In the recent publication describing the method , Li and Dohlman examined each of the 550 pairs of duplicated genes in S. cerevisiae , integrating 38,000+ documented post-translational modifications (PTMs), and 30,000+ reported interactions between protein kinases and substrates (all obtained from SGD !). More than 3,500 instances were identified where only one of two paralogous proteins undergoes a PTM despite having retained the same amino acid residue in both. Li and Dohlman found that the most common modifications – phosphorylation, ubiquitylation and acylation, but not N-glycosylation – occur in regions of high sequence conservation. The analysis indicates that differences in PTMs may be an important source of protein neo- or sub-functionalization, and that such differences likely account for the retention of closely related enzymes throughout evolution.
You can find links to CoSMoS.c. at the bottom of your favorite protein page at SGD, in the Resources section under Post-translational Modifications.

microPublication Biology is part of the emerging genre of rapidly-published research communications. We are seeing a strong set of microPublications come through the database and are glad for this venue to publish brief, novel findings, negative and/or reproduced results, and results which may initially lack a broader scientific narrative. Each article is peer-reviewed, assigned a DOI, and indexed through PubMed and PubMedCentral.
Consider microPubublications when you have a result that doesn’t necessarily fit into a larger story, but will be of value to others.
Latest yeast microPublications:
All yeast microPublications can be found in SGD .

The Alliance of Genome Resources , a collaborative effort from SGD and other model organism databases (MOD), released version 5.3 last October and version 5.4 this past April.
Version 5.3 saw the addition of Xenopus data from Xenbase. These amphibians are an important tetrapod model, spanning the evolutionary gap between the mammalian (human, mouse, and rat) and zebrafish data already included in the Alliance. Xenopus have long been used in developmental and cell biology, and two species are widely studied. The African clawed frog, X. laevis is an allotetraploid (2n = 36) of hybrid origin. The resulting X. laevis genome has a set of ‘long’ and ‘short’ chromosomes and gene symbols are therefore appended with ‘.L’ or ‘.S’ denoting on which chromosome pair they reside. The second Xenopus species, the Western clawed frog X. tropicalis , is a conventional diploid (2n=20), and is increasingly used in human disease modeling.
Data for both Xenopus species are organized on individual gene pages that feature data such as gene descriptions, orthology to human and other species, disease associations for orthologs, an expression ribbon view, and a Sequence Feature Viewer.
Version 5.4 provides new Alliance SimpleMine and Facebook URLs:
Categories: Newsletter
July 28, 2022
About this newsletter:
This is the Summer 2022 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community. You can view this newsletter as well as previous newsletters on our Community Wiki.
Thousands of SGD users run their data against SGD data every day and this can put a heavy load on servers. To improve performance, we have invested in dockerizing our full database so that loads can be better distributed in real time. We are currently at the stage of testing the frontend of our software to look for bugs, which we do for every update. The next phase will entail dockerizing and testing the backend, so we can improve our data uploads.
We hope to see improved performance for you, our users. If you happen to notice faster speeds or fewer hiccups…we’d be quite glad to hear about it! (A message to the SGD Helpdesk reaches us all.)
SGD triages all the papers that come out each week to find those that add value to our database. In the process, we are continually impressed by the quality of the research done in yeast and we decided it was time to bring back the “Research Spotlight” as a post that appears on the SGD home page in the “New and Noteworthy” section.
The goal is to highlight interesting new work that either continues an ongoing story, makes a twist in the story we all thought we knew (such as an unexpected side gig for a protein), or offers a new technique or perspective for mining the most value from the yeast model. There are numerous intriguing papers in yeast, including those shedding light on human disease by dissecting the cellular biology in yeast, using our remarkable tools, so as to identify new targets or drugs for humans.
As the model organism databases move toward forming the Alliance of Genome Resources, which will streamline and integrate our combined data, we expect this power to make useful connections will only grow.
We may have forgotten how to talk to other people in person, but the Yeast Genetics Meeting is going to give us a chance to practice. The meeting will be held in person for the first time in four years at UCLA, from August 17-21. We hope to see you there!
Of course, it being the COVID era, you can also register to attend virtually, and the cost will not be higher for late registration.
A big congratulations to the award recipients who are the invited speakers for 2022. Tom Petes is receiving the YGM Lifetime Achievement Award, Trisha Davis is giving the Winge-Lindegren Address, Maya Schuldiner is receiving the Ira Herskowitz Award, and Michael Desai is giving the Lee Hartwell Lecture. Learn more about these researchers and their work at the YGM website.
While on the subject of congratulations, a past recipient of the YGM Lifetime Achievement Award and a longtime friend and advisor of SGD has been further honored with a full issue of the journal Biomolecules dedicated to his work, Transmembrane and Intracellular Signal Transduction Mechanisms: A Themed Issue in Honor of Professor Jeremy Thorner
We are grateful to have Dr. Thorner’s work integrated into the SGD database and into our wider community’s ongoing mission to understand yeast.
On the topic of integration, SGD is happy to integrate new data sets that add value to the database. We have the ability to incorporate these datasets directly from research groups, rather than from publications. Most recently we integrated the AlphaFold predicted 3D structures for complexes as links on the SGD Interaction and Protein pages. It is now possible to look for your own proteins or complexes of interest and go straight to the predicted structure.
Another recent example is AnalogYeast, a dataset of analogs to yeast proteins in non-fungal organisms predicted by sequence similarity, which was created by the Schuldiner lab. Links have been added to the Resources sections of SGD Protein and Homology pages.
We are open to more of this collaboration and would be glad to hear from community members who think they have data useful to other researchers. Get in touch!
microPublication is part of the emerging genre of rapidly-published research communications. We are seeing a strong set of microPublications come through the database and are glad for this venue to publish brief, novel findings, negative and/or reproduced results, and results which may lack a broader scientific narrative. Each article is peer-reviewed, assigned a DOI, and indexed through PubMed and PubMedCentral.
Consider microPubublications when you have a result that doesn’t necessarily fit into a larger story, but will be of value to others.
To see recent micropublications in yeast, visit the list of micropubs in SGD.
The Alliance of Genome Resources, a collaborative effort from SGD and other model organism databases (MOD), released version 5.2 this past May.
Categories: Newsletter
December 14, 2021
About this newsletter:
This is the Fall 2021 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community. You can view this newsletter as well as previous newsletters on our Community Wiki.

SGD has made recent updates to our protein complex pages to improve clarity and ease of use. The new pages for each complex will have the same format as gene pages, with tabs across the top for each category of information, including a Summary page, a Gene Ontology page, and a Literature page. Just as we do for all of your favorite genes, Gene Ontology and Literature curation for complexes will be ongoing.
If you have any questions or feedback about the updates to our complex pages, please do not hesitate to contact us at any time.
SGD has long been the keeper of the official Saccharomyces cerevisiae gene nomenclature. Robert Mortimer handed over this responsibility to SGD in 1993 after maintaining the yeast genetic map and gene nomenclature for 30 years.
The accepted format for gene names in S. cerevisiae comprises three uppercase letters followed by a number. The letters typically signify a phrase (referred to as the “Name Description” in SGD) that provides information about a function, mutant phenotype, or process related to that gene, for example “ADE” for “ADEnine biosynthesis” or “CDC” for “Cell Division Cycle”. Gene names for many types of chromosomal features follow this basic format regardless of the type of feature named, whether an ORF, a tRNA, another type of non-coding RNA, an ARS, or a genetic locus. Some S. cerevisiae gene names that pre-date the current nomenclature standards do not conform to this format, such as MRLP38, RPL1A, and OM45.
A few historical gene names predate both the nomenclature standards and the database, and were less computer-friendly than more recent gene names, due to the presence of punctuation. SGD recently updated these gene names to be consistent with current standards and to be more software-friendly by removing punctuation. The old names for these four genes have been retained as aliases.
| ORF | Old gene name | New gene name |
|---|---|---|
| YGL234W | ADE5,7 | ADE57 |
| YER069W | ARG5,6 | ARG56 |
| YBR208C | DUR1,2 | DUR12 |
| YIL154C | IMP2′ | IMP21 |
For many years, a widely adopted systematic nomenclature has existed for yeast protein-coding genes, or ORFs, as many yeast researchers call them. Readers of the last SGD newsletter will recall that, earlier this year, SGD adopted a new systematic nomenclature for the entire annotated complement of ncRNAs.
We have just put into place a new systematic nomenclature for S. cerevisiae genes that are not found in the reference genome of strain S288C (“non-reference” genes). This new systematic nomenclature is similar to, but distinct from, that used for ORFs and that used for ncRNAs. Non-reference genes are designated by a symbol consisting of three uppercase letters and a four-digit number, as follows: Y for “Yeast”, SC for “Saccharomyces cerevisiae”, and a four-digit number corresponding to the sequential order in which the gene was added to SGD. We currently have 55 of these genes in SGD, some of which are old favorites like MAL21/YSC0004 and MATA/YSC0046, while others are more recent additions like XDH1/YSC0051. Going forward, as evidence is published pointing to other S. cerevisiae genes not present in the S288C reference genome, they will be added to the annotation using the next sequential number available. We already have 15 more of these YSC0000 names reserved by researchers and awaiting publication.
If you have some non-reference genes for which these names would be appropriate, please let us know!
Would you like to see the shape of your protein?
SGD now contains links to AlphaFold in the Resources sections of the Summary, Protein, and Homology pages for every gene.
We recently replaced HomoloGene, Ensembl, TreeFam and PANTHER homology datasets in YeastMine with homology data from DIOPT (DRSC integrative ortholog prediction tool). DIOPT integrates orthology predictions from multiple sources, including HomoloGene, Ensembl, TreeFam, and PANTHER. Using the Gene->Non-fungal and S. cerevisiae Homologs pre-generated query, you can look for DIOPT homologs for a single or multiple yeast genes. The results table provides identifiers and standard names for the yeast and homologous genes, as well as organism and predictive score information. As with other YeastMine templates, results can be saved as lists and analyzed further.
Pre-generated queries for human homolog(s) of your favorite yeast gene and their corresponding disease associations remain largely unchanged. You can begin with your favorite human gene or disease keyword and retrieve the yeast counterparts of the relevant gene(s). As an example, you can search for the S. cerevisiae homologs of all human genes associated with disorders that contain the keyword “diabetes” (view search). The results table provides identifiers and standard names for the yeast and human genes, OMIM gene and disease identifiers and name, as well as predictive algorithm sources and scores.
The Alliance of Genome Resources, a collaborative effort from SGD and other model organism databases (MOD), released version 4.1 this past August. Notable improvements and new features include:
From October 12-14, SGD biocurators attended the Gene Ontology Consortium’s Fall Meeting with participants from around the world. The goal of these meetings is to bring together data scientists with diverse backgrounds (curators, programmers, etc.) for lively discussions regarding how to better capture, curate, analyze, and serve data to researchers, educators, students, and other life science professionals. Our goal in participating in these meetings each year is to find ways to make SGD even better for you!
Discussion topics included, but were not limited to:
We know that 2021 has been another challenging year for everyone. Our thoughts go out to all those who have been impacted by recent events. We wish you and your family, friends, and lab mates the best during the upcoming holidays.
Stanford University will be closed for two weeks starting December 20, and will reopen on January 3rd, 2022. Although SGD staff members will be taking time off, the website will be up and running throughout the winter break, and we will resume responding to user requests and questions in the new year.
Categories: Newsletter
Tags: Newsletter, Saccharomyces cerevisiae
May 27, 2021
About this newsletter:
This is the Spring 2021 issue of the SGD newsletter. The goal of this newsletter is to inform our users about new features in SGD and to foster communication within the yeast community. You can view this newsletter as well as previous newsletters on our Community Wiki.
SGD curators periodically update the chromosomal annotations of the S. cerevisiae Reference Genome, which is derived from strain S288C.
The R64.3 annotation release, dated 2021-04-21, included various updates and additions:
Various sequence and annotation files are available on SGD’s Downloads site. You can find more update details and read about the new systematic nomenclature system for noncoding RNA genes on the Details of 2021 Reference Genome Annotation Update R64.3 SGD Wiki page.
SGD is excited to introduce our new Homology Pages! These pages can be accessed by clicking on the Homology tab in the header of SGD gene pages, as seen below.
The information displayed on the Homology Pages is divided into several sections:


Functional Complementation annotations are now viewable on reference pages for which there is curatable functional complementation data. This information describes cross-species functional complementation between yeast and other species, and is curated by SGD and the Princeton Protein Orthology Database (P-POD).

SGD has updated the current Gene–>UTRs YeastMine template with newly calculated 5′ and 3′ UTR sequence/coordinates. Additionally, transcript iso-forms for specific genes from the Pelachano et al., 2013 study can be accessed in YeastMine using the new Gene–>Transcripts template. Both templates can be found under the “Templates” section of YeastMine under the “Expression” category.

Textpresso has recently been updated with a new system, adopting an overhauled user interface and introducing several new features including:
Textpresso Central can also be accessed by clicking on “Full-text Search” under the Literature pull-down menu on the home page of SGD. More information about the changes and types of papers stored in Textpresso can be found in their About Us help section or (from Müller et al., 2018).

SGD now has approximately 13,000 alleles that are either fully or partially curated. To navigate to an allele page, use the search bar to find a specific allele or enter a gene name and select an allele from the autocomplete list. Additionally, these pages can be accessed by clicking on the allele name in a gene’s Phenotype Annotation table. SGD Curators continue to add new alleles or update existing ones as new information becomes available.
You can generate a list of all alleles in our database or find alleles for a specific gene using the Genes –> Alleles template in YeastMine.

Did you know that you can find human disease associations for yeast genes and their orthologs in other key model organisms at the Alliance of Genome Resources?
SGD is a founding member of the Alliance of Genome Resources, which was established to facilitate the use of diverse model organisms in understanding the genetic and genomic bases of human biology, health, and disease. Gene pages for yeast and other model organisms at the Alliance include a section for Disease Associations, including those for orthologous genes. Human diseases are represented using the Disease Ontology (DO).

From May 10th – 14th, Senior Biocuration Scientist Edith Wong, Senior Biocuration Scientist Rob Nash, Senior Biocuration Scientist Marek Skrzypek, Biocuration Scientist Suzi Aleksander, and Associate Biocuration Scientist Micheal Alexander were instructors for the Virtual Fungal Pathogen Genomics Workshop hosted by Wellcome Connecting Science. Our curators helped attendees learn more about the unique tools hosted on our website and provided them the opportunity to learn about other curation tools from FungiDB, EnsemblFungi, CGD, MycoCosm, and JGI.
We would like to thank the Fungal Pathogen Genomics team for facilitating a successful virtual workshop, and for providing excellent training in web-based data mining resources for all attendees.

Categories: Newsletter