Evidence map›Paper›PMID 31553810›Full record

ArticleThe New phytologist2020

Cell and chloroplast anatomical features are poorly estimated from 2D cross-sections.

Richard Harwood, Elinor Goodman, Marin Gudmundsdottir, Minh Huynh, Quinn Musulin, Magnolia Song, Margaret M Barbour

Abstract read
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In one paragraph

Article in The New phytologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Creating a virtual leaf.AoB PLANTS · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Maximum COProceedings. Biological sciences · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Richard HarwoodSchool of Life and Environmental Sciences, The University of Sydney, Private Bag 4011, Narellan, NSW, 2567, Australia.
Elinor GoodmanSchool of Life and Environmental Sciences, The University of Sydney, Private Bag 4011, Narellan, NSW, 2567, Australia.
Marin GudmundsdottirSchool of Life and Environmental Sciences, The University of Sydney, Private Bag 4011, Narellan, NSW, 2567, Australia.
Minh HuynhAustralian Centre for Microscopy and Microanalysis, The University of Sydney, City Road, Sydney, NSW, 2006, Australia.
Quinn MusulinSchool of Life and Environmental Sciences, The University of Sydney, Private Bag 4011, Narellan, NSW, 2567, Australia.
Magnolia SongSchool of Life and Environmental Sciences, The University of Sydney, Private Bag 4011, Narellan, NSW, 2567, Australia.
Margaret M BarbourSchool of Life and Environmental Sciences, The University of Sydney, Private Bag 4011, Narellan, NSW, 2567, Australia.ORCID 0000-0001-9220-0015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf function is intimately related to the size, shape, abundance and position of cells and chloroplasts. Anatomy has long been assessed and quantified in two dimensions with 3D structure inferred from 2D micrographs. Serial block face scanning electron microscopy (SBF-SEM) was used to reconstruct 95 cells and 1173 chloroplasts from three wheat and nine chickpea leaves (three samples each from three chickpea genotypes). Wheat chloroplast volume was underestimated by 61% in mesophyll cells and 45% in bundle sheath cells from 2D micrographs, whereas chickpea mesophyll chloroplast volume was underestimated by 60% using simple geometrical models. Models of chickpea spongy and palisade cells both under- and overestimated surface area and volume by varying degrees. These models did not adequately capture irregular shapes such as flattening of chloroplasts or lobed spongy mesophyll cells. It is concluded that simple geometrical models to estimate chloroplast and cell 3D volume and surface area from 2D micrographs are inadequate, and that SBF-SEM has strong potential to contribute to improved understanding of leaf form and function.

Indexed as

ChloroplastsMesophyll CellsCell SizeMicroscopy, Electron, ScanningPlant Leavescell volumechickpeachloroplastmesophyllserial block face scanning electron microscopywheat

Identifiers

PMID31553810

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.