Construction of gene co-expression networks in cultured silkworm cells and identification of previously uncharacterized lepidopteran-specific genes required for chromosome dynamics.
Chromosome dynamics
Gene co-expression network
Holocentric chromosome
RNAi
Silkworm
Journal
Insect biochemistry and molecular biology
ISSN: 1879-0240
Titre abrégé: Insect Biochem Mol Biol
Pays: England
ID NLM: 9207282
Informations de publication
Date de publication:
12 2022
12 2022
Historique:
received:
22
07
2022
revised:
01
11
2022
accepted:
11
11
2022
pubmed:
22
11
2022
medline:
24
1
2023
entrez:
21
11
2022
Statut:
ppublish
Résumé
Advances in sequencing technology and bioinformatics have accelerated gene discovery and homology-based functional annotation in many species, and numerous targeted gene studies have greatly expanded the understanding of gene functions. Nevertheless, there are still many genes that lack homology with genes in other evolutionary lineages and are left as genes with unknown functions. We constructed a gene co-expression network from the Bombyx mori ovary-derived cell line, BmN4, and attempted to infer the biological roles of uncharacterized genes based on the correlation between the function-known and unknown genes. Within this network, we focused on the co-expression modules involved in chromosome architecture, dynamics, and integrity, and selected the uncharacterized genes for subsequent RNAi-based phenotypic screening. This approach enabled the identification of 5 genes whose knockdown led to abnormalities in chromosome dynamics and spindle morphology in mitosis. One of them was a recently characterized gene, BmCenp-T, which plays a central role in building the kinetochore protein complex on the silkworm holocentric chromosomes. In this study, we suggest a method for constructing the gene co-expression network and selecting candidate genes for small-scale RNAi screening. This approach is complementary to homology-based annotation and may be useful for the analysis of lineage-specific uncharacterized genes such as orphan genes.
Identifiants
pubmed: 36410580
pii: S0965-1748(22)00157-6
doi: 10.1016/j.ibmb.2022.103875
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
103875Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare no conflict of interest.