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Record W2994807934 · doi:10.1101/2019.12.11.869693

Chromosome-scale genome assembly provides insights into rye biology, evolution, and agronomic potential

2019· preprint· en· W2994807934 on OpenAlexafffund
M. Timothy Rabanus‐Wallace, Bernd Hackauf, Martin Mascher, Thomas Lux, Thomas Wicker, Heidrun Gundlach, Mariana Báez, Andreas Houben, Klaus Mayer, Liangliang Guo, Jesse Poland, Curtis Pozniak, Sean Walkowiak, Joanna Melonek, Coraline R. Praz, Mona Schreiber, Hikmet Budak, Matthias Heuberger, Burkhard Steuernagel, Brande B. H. Wulff, Andreas Börner, Brook Byrns, Jana Čížková, Brian Fowler, Allan K. Fritz, Axel Himmelbach, Gemy Kaithakottil, Jens Keilwagen, Beat Keller, David Konkin, Jamie Larsen, Qiang Li, Beata Myśków, Sudharsan Padmarasu, Nidhi Rawat, Uğur Sesiz, Sezgi Biyiklioglu, Andy Sharpe, Hana Šimková, Ian Small, David Swarbreck, Helena Toegelová, Н. В. Цветкова, A. V. Voylokov, Jan Vrána, Eva Bauer, Hanna Bolibok-Brągoszewska, Jaroslav Doležel, Anthony Hall, Jizeng Jia, Viktor Korzun, André Laroche, Xuefeng Ma, Frank Ordon, Hakan Özkan, Monika Rakoczy‐Trojanowska, Uwe Scholz, Alan H. Schulman, Dörthe Siekmann, Stefan Stojałowski, Vijay Tiwari, M. Spannagl, Nils Stein

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsGlobal Institute for Water SecurityAgriculture and Agri-Food CanadaNational Research Council CanadaUniversity of Saskatchewan
FundersAgriculture and Agri-Food CanadaDirectorate for Biological SciencesGerman Network for Bioinformatics InfrastructureBundesministerium für Bildung und ForschungEuropean Regional Development FundDeutsche ForschungsgemeinschaftBundesministerium für Ernährung und LandwirtschaftBiotechnology and Biological Sciences Research CouncilGrantová Agentura České RepublikyLeibniz-GemeinschaftUniversitätsmedizin Göttingen
KeywordsTriticeaeSecaleBiologyTriticaleGenomeGeneticsChromosomePlant disease resistanceChromosome engineeringGenome evolutionGeneAgronomy

Abstract

fetched live from OpenAlex

Abstract We present a chromosome-scale annotated assembly of the rye ( Secale cereale L. inbred line ‘Lo7’) genome, which we use to explore Triticeae genomic evolution, and rye’s superior disease and stress tolerance. The rye genome shares chromosome-level organization with other Triticeae cereals, but exhibits unique retrotransposon dynamics and structural features. Crop improvement in rye, as well as in wheat and triticale, will profit from investigations of rye gene families implicated in pathogen resistance, low temperature tolerance, and fertility control systems for hybrid breeding. We show that rye introgressions in wheat breeding panels can be characterised in high-throughput to predict the yield effects and trade-offs of rye chromatin.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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.

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

Citations31
Published2019
Admission routes2
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicWheat and Barley Genetics and PathologyFrench-language works237,207