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Record W2762667920 · doi:10.24870/cjb.2017-a174

Transcriptome profiling of floral development in Dendrocalamus hamiltoniiuncovers floral transition mechanism in bamboos

2017· article· en· W2762667920 on OpenAlexvenueno aff
Pooja Thapa, Amita Bhattacharya, Anil K. Sood

Bibliographic record

VenueCanadian Journal of Biotechnology · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBamboo properties and applications
Canadian institutionsnot available
Fundersnot available
KeywordsTranscriptomeProfiling (computer programming)BiologyBotanyMechanism (biology)Computer scienceGeneticsGenePhysicsGene expression

Abstract

fetched live from OpenAlex

Bamboos are the giant woody grasses belonging to family Poaceae. The plants have versatile utilities including rural and industrial applications. Bamboos are indeed major players in the economies of many Asian countries. They support an international trade worth more than US$ 2.5 billion per year and this is expected to increase further. Bamboos have long juvenile phase and unique flowering behavior -the major deterrents to their conservation and propagation. Most genera/species have a long intermast period of juvenile stage that varies from 40-120 years after which bamboos flower gregariously, irrespective of geographical locations. The entire culms of all clonal individuals from a single mother, flower simultaneously and die en masse. This results in huge loss of valuable germplasm, and is a continuous but unpredictable threat to all standing populations of bamboos. Besides gregarious flowering, some culms of bamboos flower sporadically, set a few seeds annually and die. Although the process of flowering in bamboos demands attention, it is poorly understood. Therefore, an attempt was made to elucidate the molecular mechanism of floral transition in Dendrocalamus hamiltonii, a multipurpose bamboo native to Himalayan region using a transcriptomic approach in an in vitro system. The Illumina paired-end sequencing was conducted, and a total of 37862456, 35040478 and 35017513 reads were obtained after filtering by RNA-seq of the vegetative, about-to-flower and flowering stages. These were assembled into 191575 transcripts with mean length of 1005.68 bp. A total of 98,782 unigenes were annotated in the NCBI non-redundant protein database and 86,665 in the Swiss-Prot database. Also, 73,802 annotated unigenes were allocated to gene ontology (GO) categories. In them most of the unigenes were categorized into biological process followed by molecular function and cellular component. By searching against the Kyoto Encyclopedia of Genes and Genomes Pathway database (KEGG), 7,222 unigenes were assigned to 372 KEGG pathways and in addition 28905 simple sequence repeats (SSRs) were identified. In total 7439 differentially expressed floral specifiers representing the three floral developmental stages were identified.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.205
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.

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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