ArticleWorld journal of microbiology & biotechnology2026
Genetic Diversity analysis of industrial Saccharomyces cerevisiae strains and their correlation with fermentation performance.
Article in World journal of microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Sugarcane molasses serves as a vital non-food feedstock for ethanol fermentation, and its efficient utilisation depends on breeding of excellent microbial strains. Therefore, identification of industrial strains for ethanol fermentation is central to improving fermentation efficiency. To identify high-efficiency ethanol-fermenting strains, we developed a method for preparing high-throughput polymerase chain reaction (PCR) templates within 3 min using seven industrial Saccharomyces cerevisiae strains, integrating single-cell morphology and phenotypic variations in ethanol fermentation. Method specificity was confirmed by amplifying and sequencing the internal transcribed spacer region, and the efficiency was validated by extracting genomic DNA using cetyltrimethylammonium bromide (CTAB). Subsequent genetic diversity analysis using random amplified polymorphic DNA (RAPD) with eight effective primers screened from twenty-two random primers revealed genetic similarity coefficients ranging between 0.47 and 0.96. The high-yield strains 1015-04-01 and 1002-03-03 showed the highest similarity (0.96), whereas strain 1015-04-01 and the low-yield strain 1415 exhibited the lowest similarity (0.47). Unweighted pair group method with arithmetic mean (UPGMA) cluster analysis demonstrated that the high-yield strain 1016-02-04, and strains 1415 and 1313 formed a major cluster, and the low-yield strains 1415 and 1313 formed a distinct subcluster; four other high-yield strains constituted a separate cluster, indicating certain genetic differences between high- and low-yield strains, together with partial genetic overlap. The RAPD results exhibited a certain correlation with differences in final ethanol concentration and single-cell morphology, providing preliminary genetic marker references for the rapid identification and screening of high-performance strains used in ethanol fermentation from sugarcane molasses.
Indexed as
Identifiers
42126753What OpenQuestion holds
Registered trials
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.