MétaCan
Menu
Back to cohort
Record W4200131701 · doi:10.21203/rs.3.rs-1198968/v1

Reference genome-assisted identification of stem rust resistance gene Sr62 encoding a tandem kinase

2021· preprint· en· W4200131701 on OpenAlexaff
Guotai Yu, Oadi Matny, Nicolas Champouret, Burkhard Steuernagel, Matthew Moscou, Inmaculada Hernández‐Pinzón, Phon Green, Şadiye Hayta, Mark A. Smedley, Wendy Harwood, Ngonidzashe Kangara, Yajuan Yue, Catherine Gardener, Mark J. Banfield, Pablo D. Olivera, Cole Welchin, Jamie Simmons, E. Millet, Anna Minz‐Dub, Moshe Ronen, Raz Avni, Amir Sharon, Mehran Patpour, Annemarie Fejer Justesen, Murukarthick Jayakodi, Axel Himmelbach, Nils Stein, Shuangye Wu, Jesse Poland, Jennifer Ens, Curtis Pozniak, Miroslava Karafiátová, István Molnár, Jaroslav Doležel, E. R. Ward, T. Lynne Reuber, Jonathan D. G. Jones, Martin Mascher, Brian J. Steffenson, Brande B. H. Wulff

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsUniversity of Saskatchewan
FundersBiotechnology and Biological Sciences Research CouncilTel Aviv UniversityGatsby Charitable FoundationDirectorate for Biological SciencesUniversity of MinnesotaGordon and Betty Moore Foundation
KeywordsStem rustBiologyGeneticsGeneGenomePlant disease resistanceComputational biology

Abstract

fetched live from OpenAlex

<title>Abstract</title> The wild relatives and progenitors of wheat have been widely used as sources of disease resistance (<italic>R</italic>) genes. Molecular identification and characterization of these <italic>R</italic> genes facilitates their manipulation and tracking in breeding programmes. We developed a reference-quality genome assembly of the wild diploid wheat relative <italic>Aegilops sharonensis</italic> and used positional mapping, mutagenesis, RNA-Seq and transgenesis to identify the stem rust resistance gene <italic>Sr62</italic>, which was also transferred to common wheat. This gene encodes a tandem kinase, homologues of which exist across multiple taxa in the plant kingdom. Stable <italic>Sr62</italic> transgenic wheat lines showed high levels of resistance against diverse isolates of the stem rust pathogen, highlighting the utility of <italic>Sr62</italic> for deployment as part of a polygenic stack to maximize the durability of stem rust resistance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.135
GPT teacher head0.344
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueResearch SquareSame topicWheat and Barley Genetics and PathologyFrench-language works237,207