Evidence map›Paper›PMID 30374526›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018

Crop resistant starch and genetic improvement: a review of recent advances.

Jian Xia, Dong Zhu, Ruomei Wang, Yue Cui, Yueming Yan

Abstract readReview
PubMed Publisher
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

5 authors.

Jian XiaLaboratory of Molecular Genetics and Proteomics, College of Life Science, Capital Normal University, 100048, Beijing, China.
Dong ZhuLaboratory of Molecular Genetics and Proteomics, College of Life Science, Capital Normal University, 100048, Beijing, China.
Ruomei WangLaboratory of Molecular Genetics and Proteomics, College of Life Science, Capital Normal University, 100048, Beijing, China.
Yue CuiLaboratory of Molecular Genetics and Proteomics, College of Life Science, Capital Normal University, 100048, Beijing, China.
Yueming YanLaboratory of Molecular Genetics and Proteomics, College of Life Science, Capital Normal University, 100048, Beijing, China. yanym@cnu.edu.cn.

Funding

National Key R & D Program of China 2016YFD0100502National Natural Science Foundation of China 31271703National Natural Science Foundation of China 31771773
6 · The paper itself

Abstract

Resistant starch (RS), as a healthy dietary fiber, meets with great human favor along with the rapid development and improvement of global living standards. RS shows direct effects in reducing postprandial blood glucose levels, serum cholesterol levels and glycemic index. Therefore, RS plays an important role in preventing and improving non-communicable diseases, such as obesity, diabetes, colon cancer, cardiovascular diseases and chronic kidney disease. In addition, RS leads to its potential applied value in the development of high-quality foodstuffs, such as bread, noodles and dumplings. This paper reviews the recent advances in RS research, focusing mainly on RS classification and measurement, formation, quantitative trait locus mapping, genome-wide association studies, molecular marker development and genetic improvement through induced mutations, plant breeding combined with marker-assisted selection and genetic transformation. Challenges and perspectives on further RS research are also discussed.

Indexed as

Dietary FiberCrops, AgriculturalGenetic Association StudiesGenetic MarkersHumansPlant BreedingQuantitative Trait LociStarchDietary FiberGenetic MarkersStarch

Identifiers

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.