Cadmium stress triggers significant metabolic reprogramming in Enterococcus faecium CX 2-6.
Cadmium stress triggers significant metabolic reprogramming in Enterococcus faecium CX 2-6.
复制标题
DOI:
10.1016/j.csbj.2021.10.021
复制
发表时间:
2021
影响因子:
6
通讯作者:
Yin Y
中科院分区:
文献类型:
--
作者:
Cheng X;Yang B;Zheng J;Wei H;Feng X;Yin Y
A cadmium resistant strain of Enterococcus faecium CX 2–6 is sequenced. Differential expression analysis found 47% of CX 2–6 genes are significantly affected by Cd treatment. Differentially expressed genes (DEGs) form physically linked gene clusters in the CX 2–6 genome. A prophage is unique to CX 2–6 and is strongly activated by high Cd concentration. A majority of DEGs responding to Cd treatment are present in the core genome. Heavy metal pollutions in the soils are increasingly threatening the global crop and food production. Using plant associated bacteria to remediate heavy metal contamination is a promising approach. We have isolated a cadmium (Cd) resistant Enterococcus faecium strain CX 2–6 from a heavy metal contaminated farmland. We have shown that: (i) CX 2–6 can tolerate cadmium (Cd) with a slower growth rate; (ii) The CX 2–6 complete genome is fully assembled using PacBio long reads; (iii) Differential expression analysis found 47% of CX 2–6 genes are significantly affected by Cd treatment and form three gene groups with distinct expression profiles; (iv) Differentially expressed genes (DEGs) form physically linked gene clusters in the CX 2–6 genome, and one of the gene clusters corresponds to a prophage that is unique to CX 2–6 and is strongly activated when Cd concentration is higher; (v) A majority of DEGs responding to Cd treatment are present in the core genome; and (vi) 55 noncoding RNA genes are identified and 49 of them are DEGs responding to cadmium stress. Our pan-genome analysis and comparative RNA-seq data analysis has significantly improved our understanding of the metabolic reprogramming of E. faecium CX 2–6 under Cd stress.
登录
查看更多内容
影响因子:
14.9
作者:
Bertelli C;Laird MR;Williams KP;Simon Fraser University Research Computing Group;Lau BY;Hoad G;Winsor GL;Brinkman FSL
通讯作者:
Brinkman FSL
影响因子:
14.9
作者:
Huang, Hsi-Yuan;Chang, Heng-Yi;Chou, Chih-Hung;Tseng, Ching-Ping;Ho, Shinn-Ying;Yang, Chi-Dung;Ju, Yih-Wei;Huang, Hsien-Da
通讯作者:
Huang, Hsien-Da
影响因子:
6.4
作者:
Gouliouris T;Raven KE;Ludden C;Blane B;Corander J;Horner CS;Hernandez-Garcia J;Wood P;Hadjirin NF;Radakovic M;Holmes MA;de Goffau M;Brown NM;Parkhill J;Peacock SJ
通讯作者:
Peacock SJ
影响因子:
14.9
作者:
Couvin D;Bernheim A;Toffano-Nioche C;Touchon M;Michalik J;Néron B;Rocha EPC;Vergnaud G;Gautheret D;Pourcel C
通讯作者:
Pourcel C
影响因子:
8.8
作者:
Islam, G. M. Rabiul;Habib, Mohammad Ruzlan;Jolly, Y. N.
通讯作者:
Jolly, Y. N.