Evidence map›Paper›PMID 31257428›Full record

ArticleJournal of experimental botany2019

Genetic architecture of leaf photosynthesis in rice revealed by different types of reciprocal mapping populations.

Shunsuke Adachi, Toshio Yamamoto, Toru Nakae, Masahiro Yamashita, Masaki Uchida, Ryoji Karimata, Naoto Ichihara, Kazuya Soda, Takayuki Ochiai, Risako Ao and 8 more

Abstract read
In one paragraph

Article in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  8. Species-wide inventory ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Feeding the world: impacts of elevated [COHorticulture research · 2023
    Article
  14. Review
  15. Genetics as a key to improving crop photosynthesis.Journal of experimental botany · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Article
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4 · The record

Corrections and comments

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

18 authors.

Shunsuke AdachiGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Toshio YamamotoInstitute of Crop Science, National Agriculture and Food Research Organization (NARO), Kannondai, Tsukuba, Ibaraki, Japan.
Toru NakaeGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Masahiro YamashitaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Masaki UchidaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Ryoji KarimataGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Naoto IchiharaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Kazuya SodaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Takayuki OchiaiGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Risako AoGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Chikako OtsukaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Ruri NakanoGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Toshiyuki TakaiInstitute of Crop Science, National Agriculture and Food Research Organization (NARO), Kannondai, Tsukuba, Ibaraki, Japan.
Takashi IkkaInstitute of Crop Science, National Agriculture and Food Research Organization (NARO), Kannondai, Tsukuba, Ibaraki, Japan.
Katsuhiko KondoInstitute of Crop Science, National Agriculture and Food Research Organization (NARO), Kannondai, Tsukuba, Ibaraki, Japan.
Tadamasa UedaInstitute of Crop Science, National Agriculture and Food Research Organization (NARO), Kannondai, Tsukuba, Ibaraki, Japan.
Taiichiro OokawaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.
Tadashi HirasawaGraduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The improvement of leaf net photosynthetic rate (An) is a major challenge in enhancing crop productivity. However, the genetic control of An among natural genetic accessions is still poorly understood. The high-yielding indica cultivar Takanari has the highest An of all rice cultivars, 20-30% higher than that of the high-quality japonica cultivar Koshihikari. By using reciprocal backcross inbred lines and chromosome segment substitution lines derived from a cross between Takanari and Koshihikari, we identified three quantitative trait loci (QTLs) where the Takanari alleles enhanced An in plants with a Koshihikari genetic background and five QTLs where the Koshihikari alleles enhanced An in plants with a Takanari genetic background. Two QTLs were expressed in plants with both backgrounds (type I QTL). The expression of other QTLs depended strongly on genetic background (type II QTL). These beneficial alleles increased stomatal conductance, the initial slope of An versus intercellular CO2 concentration, or An at CO2 saturation. Pyramiding of these alleles consistently increased An. Some alleles positively affected biomass production and grain yield. These alleles associated with photosynthesis and yield can be a valuable tool in rice breeding programs via DNA marker-assisted selection.

Indexed as

Quantitative Trait LociAllelesChromosome MappingOryzaPhotosynthesisPlant LeavesBackcross inbred linechromosome segment substitution linenitrogen contentphenologyphotosynthesisquantitative trait locusreciprocal mapping populationricestomatal conductanceyield

Identifiers

PMID31257428
PMCPMC6793464

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Registered trials

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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.