Evidence map›Paper›PMID 35658919›Full record

ArticleBiotechnology for biofuels and bioproducts2022

Integrative transcriptome and proteome analyses of Trichoderma longibrachiatum LC and its cellulase hyper-producing mutants generated by heavy ion mutagenesis reveal the key genes involved in cellulolytic enzymes regulation.

Miaoyin Dong, Shuyang Wang, Fuqiang Xu, Guoqing Xiao, Jin Bai, Junkai Wang, Xisi Sun

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 19 citations in OpenAlex.

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  6. A Combined Study on Optimization,Biochemistry research international · 2022
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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

7 authors at 4 institutions in 1 country.

Miaoyin DongInstitute of Modern Physics, Chinese Academy of Sciences, 509 Nanchang Rd, Lanzhou, 730000, Gansu, People's Republic of China.
Shuyang WangInstitute of Modern Physics, Chinese Academy of Sciences, 509 Nanchang Rd, Lanzhou, 730000, Gansu, People's Republic of China. wangsy@impcas.ac.cn.
Fuqiang XuInstitute of Modern Physics, Chinese Academy of Sciences, 509 Nanchang Rd, Lanzhou, 730000, Gansu, People's Republic of China.
Guoqing XiaoInstitute of Modern Physics, Chinese Academy of Sciences, 509 Nanchang Rd, Lanzhou, 730000, Gansu, People's Republic of China. xiaogq@impcas.ac.cn.
Jin BaiInstitute of Modern Physics, Chinese Academy of Sciences, 509 Nanchang Rd, Lanzhou, 730000, Gansu, People's Republic of China.
Junkai WangCollege of Physics and Electronic Engineering, Northwest Normal University, 967Anning East Rd, Lanzhou, 730000, Gansu, People's Republic of China.
Xisi SunInstitute of Modern Physics, Chinese Academy of Sciences, 509 Nanchang Rd, Lanzhou, 730000, Gansu, People's Republic of China.
Chinese Academy of Sciences · CNInstitute of Modern Physics · CNUniversity of Chinese Academy of Sciences · CNNorthwest Normal University · CN

Funding

the Cooperation Project of Gansu Academy of Sciences 2020HZ-01the Key Research and Development plan of Gansu Province 21YF5FA138the Local Cooperation Project of the Chinese Academy of Sciences YD-2021-01the National Natural Science Foundation of China 12075294the Project of Agricultural Science and Technology of Yunnan Province 202101AE090028
6 · The paper itself

Abstract

backgroundThe major challenge of facing the efficient utilization of biomass is the high cost of cellulolytic enzyme, while the Trichoderma longibrachiatum plays an essential role in the production of industrial enzymes and biomass recycling.

resultsThe cellulase hyper‑producing mutants of LC-M4 and LC-M16 derived from the wild type T. longibrachiatum LC strain through heavy ion mutagenesis exhibited the high-efficiency secretion ability of cellulase and hemicellulose. The FPase activities of LC-M4 (4.51 IU/mL) and LC-M16 (4.16 IU/mL) mutants increased by 46.91% and 35.5% when compared to the LC strain, respectively. Moreover, these two cellulase hyper-producing mutants showed faster growth rate on the cellulosic substrates (Avicel and CMC-Na) plate than that of LC strain. Therefore, an integrative transcriptome and proteome profiling analysis of T. longibrachiatum LC and its cellulase hyper‑producing mutant LC-M4 and LC-M16 were employed to reveal the key genes involved in cellulolytic enzymes regulation. It was showed that the transcriptome and proteome profiles changed dramatically between the wild strain and mutant strains. Notably, the overlapped genes obtained from integrative analysis identified that the protein processing in ER involved in protein secretory pathway, starch and sucrose metabolism pathway and N-glycan biosynthesis pathway were significantly changed both in cellulase hyper-producing mutants and thereby improving the enzyme secretion efficiency, which maybe the main reason of cellulase hyper-production in LC-M4 and LC-M16 mutants. In addition, the three DEGs/DEPs (PDI, Sec61, VIP36) related with protein secretion in ER and two DEGs/DEPs (OST, MOGS) related with N-glycan biosynthesis were identified as key candidate genes participating in enzyme protein biosynthesis and secretion.

conclusionsIn this study, a hypothetical secretory model of cellulase protein in filamentous fungi was established on the basis of DEGs/DEPs and key genes identified from the omics analysis, which were of great guidance on the rational genetic engineering and/or breeding of filamentous fungi for improving cellulase production.

Indexed as

CellulaseHyper-producing mutantsProteomicsTranscriptomicsTrichoderma longibrachiatum

Identifiers

PMID35658919
PMCPMC9166314
OpenAlexW4282017091

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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.