Evidence map›Paper›PMID 41340927›Full record

ReviewAnimal nutrition (Zhongguo xu mu shou yi xue hui)2025

Termites and their gut microbiome in animal nutrition: Advances and biotechnological applications.

Avila-Valbuena Samuel David, Pérez-Rubio María Del Rocío

Abstract readReview
In one paragraph

Review in Animal nutrition (Zhongguo xu mu shou yi xue hui), 2025. 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

2 authors.

Avila-Valbuena Samuel DavidUniversidad Cooperativa de Colombia, Ibagué, Tolima 730002, Colombia.
Pérez-Rubio María Del RocíoUniversidad Cooperativa de Colombia, Ibagué, Tolima 730002, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the late 20th century, termites have attracted attention due to the vast potential of their gut microbiome and digestive enzymes, which enable them to efficiently degrade lignocellulosic biomass, making them a promising resource for animal nutrition, particularly for recovering fibrous waste. Termite gastrointestinal symbionts and enzymes are highly effective at decomposing plant fiber, thus positioning them as natural bioreactors with significant biotechnological potential. This review examines the evolving applications of termites in animal feed, including their incorporation as protein sources in diets for monogastric animals and fish, as well as the utilization of bacteria, fungi, and enzymes derived from their guts as additives to enhance the digestibility of agricultural byproducts in both ruminants and non-ruminants. Furthermore, recent developments have demonstrated the identification and heterologous expression of lignocellulolytic enzymes and metabolites with prebiotic and detoxifying properties. The diversity of termite species offers an exceptional source of microbial communities. These communities highly adaptable to various fibrous substrates due to their diet, which enhances their potential despite existing limitations in cultivation and process standardization. However, their gut microbiota remains an untapped resource with immense potential to improve feed efficiency, promote sustainability, and reduce reliance on conventional inputs. It is concluded that at larger scale in vivo studies are needed to fully realize the potential of these symbiotic systems in animal nutrition.

Indexed as

Animal feedBiotechnological applicationFibrous biomass pretreatmentLignocellulosic degradationTermite microbiome

Identifiers

PMID41340927
PMCPMC12670568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.