Evidence map›Paper›PMID 42377893›Full record

ArticleScience China. Life sciences2026

Time-series dynamics and biocontrol potential of postharvest bacteria in litchi microbiota.

Huiyu Hou, Hujie Lyu, Haifei Yang, Yao Wang, Tianyuan Zhang, Junbo Yang, Salsabeel Yousuf, Hao Luo, Xiaofang Yao, Yong-Xin Liu

Abstract read
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In one paragraph

Article in Science China. Life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Huiyu HouState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Hujie LyuState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Haifei YangState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Yao WangState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Tianyuan ZhangState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Junbo YangState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Salsabeel YousufState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Hao LuoState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Xiaofang YaoState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China. yaoxiaofang@caas.cn.
Yong-Xin LiuState Key Laboratory of Tropical Crop Breeding, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China. liuyongxin@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postharvest surface microbiota plays a pivotal role in fruit spoilage and disease development, directly influencing shelf life and food safety. In this study, we systematically investigated the dynamic changes of peel-associated microbial communities in two litchi cultivars with distinct storability (Huaizhi and Nuomici), under both natural and fungicide (prochloraz) treatments over a 9 d storage period. Amplicon sequencing, time-series analysis, and a random forest model identified five key genera-Acetobacter, Methylobacterium, Sphingomonas, Gluconobacter, and Pantoea-strongly associated with storage time. Notably, culturable isolates from these genera exhibited significant antagonistic activity against the common postharvest fungal pathogens Peronophythora litchii and Colletotrichum gloeosporioides, with Gluconobacter sp. Lc45 demonstrating high-efficiency antagonism. Furthermore, a random forest model based on microbial biomarkers accurately predicted fruit freshness (R

Indexed as

16S rRNA gene sequencinglitchimicrobiomerandom foresttime-series

Identifiers

PMID42377893

What OpenQuestion holds

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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.