Evidence map›Paper›PMID 39039437›Full record

ArticleBMC plant biology2024

Prediction of suitable regions of wild tomato provides insights on domesticated tomato cultivation in China.

Ping Liu, Ruohan Xie, Guorong Xin, Yufei Sun, Shihao Su

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ping LiuSchool of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, 518107, China.
Ruohan XieSchool of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, 518107, China.
Guorong XinSchool of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, 518107, China. lssxgr@mail.sysu.edu.cn.
Yufei SunSchool of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, 518107, China. sunyf37@mail.sysu.edu.cn.
Shihao SuSchool of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, 518107, China. sushh7@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is one of the biggest challenges to the world at present. Tomato is also suffered from devastating yield loss due to climate change. The domesticated tomato (Solanum lycopersicum) is presumed to be originated from the wild tomato (S. pimpinellifolium). In this study, we compared the climate data of S. pimpinellifollium with the domesticated tomato, predicted the suitable regions of S. pimpinellifollium in China using MaxEnt model and assessed their tolerance to drought stress. We found that the predicted suitable regions of wild tomato are highly consistent with the current cultivated regions of domesticated tomato, suggesting that the habitat demand of domesticated tomato descended largely from its ancestor, hence the habitat information of wild tomato could provide a reference for tomato cultivation. We further predicted suitable regions of wild tomato in the future in China. Finally, we found that while average drought tolerance between wild and domesticated tomato accessions shows no difference, tolerance levels among wild tomato accessions exhibit higher variation, which could be used for future breeding to improve drought resistance. To summarize, our study shows that suitable regions of wild tomato provide insights into domesticated tomato cultivation in China.

Indexed as

DomesticationDroughtsSolanum lycopersicumChinaClimate ChangeCrops, AgriculturalEcosystemClimate changeMaxEntSolanum lycopersicumSolanum pimpinellifoliumSuitable regionTomato

Identifiers

PMID39039437
PMCPMC11265077

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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.