Evidence map›Paper›PMID 39494052›Full record

ArticleFrontiers in plant science2024

Discovery of genes that positively affect biomass and stress associated traits in poplar.

Tatyana Georgieva, Yordan Yordanov, Elena Yordanova, Md Rezaul Islam Khan, Kaiwen Lyu, Victor Busov

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tatyana GeorgievaCollege of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, United States.
Yordan YordanovDepartment of Biological Sciences, Eastern Illinois University, Charleston, IL, United States.
Elena YordanovaCollege of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, United States.
Md Rezaul Islam KhanCollege of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, United States.
Kaiwen LyuCollege of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, United States.
Victor BusovCollege of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Woody biomass serves as a renewable resource for various industries, including pulp and paper production, construction, biofuels, and electricity generation. However, the molecular mechanisms behind biomass traits are poorly understood, which significantly curtails the speed and efficiency of their improvement. We used activation tagging to discover genes that can positively affect tree biomass-associated traits. We generated and screened under greenhouse conditions a population of 2,700 independent activation tagging lines. A total of 761 lines, which had significantly and positively affected at least one biomass-associated trait, were discovered. The tag was positioned in the genome for forty lines which were affected in multiple traits and activation of proximal genes validated for a subset. For two lines we fully recapitulated the phenotype of the original lines through overexpression. Moreover, the overexpression led to more pronounced and additional improvements, not observed in the original lines. Importantly, the overexpression of a Fasciclin-like gene (PtaFLA10) and a Patatin-like gene (PtaPAT) was found to substantially improve biomass, with a 40% increase in dry-stem weight, and enhance drought tolerance, respectively. Additionally, PtaPAT overexpression increased cellulose content, which is crucial for biofuel production. Our work shows that the activation tagging approach applied even on a non-genome saturation scale in a poplar tree can be successfully used for the discovery of genes positively modify biomass productivity. Such dominant forward genetics approaches can aid in biotechnological manipulation of woody biomass traits and help unravel the functions and mechanisms of individual genes, gene families, and regulatory modules.

Indexed as

activation tagdrought stressfasciclin like genegene discovery toolspatatinpoplar

Identifiers

PMID39494052
PMCPMC11528158

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.