Evolutionary innovation through transcription factor rewiring in microbes is shaped by levels of transcription factor activity, expression, and existing connectivit

被引:0
|
作者
Shepherd, Matthew J. [1 ,2 ]
Pierce, Aidan P. [1 ]
Taylor, Tiffany B. [1 ]
机构
[1] Univ Bath, Milner Ctr Evolut, Dept Life Sci, Bath, England
[2] Univ Manchester, Sch Biol Sci, Div Evolut & Genom Sci, Manchester, Lancs, England
基金
英国生物技术与生命科学研究理事会;
关键词
GLOBAL REGULATORY NETWORKS; PSEUDOMONAS-AERUGINOSA; GENE-EXPRESSION; BACTERIA; EVOLVABILITY; DIVERSITY; MOTILITY;
D O I
10.1371/journal.pbio.3002348
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The survival of a population during environmental shifts depends on whether the rate of phenotypic adaptation keeps up with the rate of changing conditions. A common way to achieve this is via change to gene regulatory network (GRN) connections-known as rewiring-that facilitate novel interactions and innovation of transcription factors. To understand the success of rapidly adapting organisms, we therefore need to determine the rules that create and constrain opportunities for GRN rewiring. Here, using an experimental microbial model system with the soil bacterium Pseudomonas fluorescens, we reveal a hierarchy among transcription factors that are rewired to rescue lost function, with alternative rewiring pathways only unmasked after the preferred pathway is eliminated. We identify 3 key properties-high activation, high expression, and preexisting low-level affinity for novel target genes-that facilitate transcription factor innovation. Ease of acquiring these properties is constrained by preexisting GRN architecture, which was overcome in our experimental system by both targeted and global network alterations. This work reveals the key properties that determine transcription factor evolvability, and as such, the evolution of GRNs. Changes to gene regulatory network connections, known as rewiring, facilitate novel interactions and innovation of transcription factors. This study reveals three key properties that facilitate transcription factor innovation and evolvability: high activation, high expression, and pre-existing low-level affinity for novel target genes.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Transcription factor expression in lymphocyte development: Clues to the evolutionary origins of lymphoid cell lineages?
    Anderson, MK
    Rothenberg, EV
    ORIGIN AND EVOLUTION OF THE VERTEBRATE IMMUNE SYSTEM, 2000, 248 : 137 - 155
  • [22] Alterations in neurotransmitter levels and transcription factor expression following intranasal buprenorphine administration
    Xhakaza, Sanelisiwe P.
    Khoza, Leon J.
    Haripershad, Advaitaa M.
    Ghazi, Terisha
    Dhani, Shanel
    Mutsimhu, Cosmas
    Molopa, Molopa J.
    Madurai, Nithia P.
    Madurai, Lorna
    Singh, Sanil D.
    Gopal, Nirmala D.
    Kruger, Hendrik G.
    Govender, Thavendran
    Chuturgoon, Anil
    Naicker, Tricia
    Baijnath, Sooraj
    BIOMEDICINE & PHARMACOTHERAPY, 2021, 138
  • [23] Control of transferrin expression by β-amyloid through the CP2 transcription factor
    Jang, Sang-Min
    Kim, Jung-Woong
    Kim, Chul-Hong
    An, Joo-Hee
    Kang, Eun-Jin
    Kim, Chul Geun
    Kim, Hyun-Jung
    Choi, Kyung-Hee
    FEBS JOURNAL, 2010, 277 (19) : 4054 - 4065
  • [24] MYC Amplifies Gene Expression Through Global Changes in Transcription Factor Dynamics
    Larson, Daniel R.
    BIOPHYSICAL JOURNAL, 2021, 120 (03) : 135A - 135A
  • [25] tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor
    Honkela, Antti
    Gao, Pei
    Ropponen, Jonatan
    Rattray, Magnus
    Lawrence, Neil D.
    BIOINFORMATICS, 2011, 27 (07) : 1026 - 1027
  • [26] MYC amplifies gene expression through global changes in transcription factor dynamics
    Patange, Simona
    Ball, David A.
    Wan, Yihan
    Karpova, Tatiana S.
    Girvan, Michelle
    Levens, David
    Larson, Daniel R.
    CELL REPORTS, 2022, 38 (04):
  • [27] Expression and DNA binding activity of the tomato transcription factor RIN (ripening inhibitor)
    Zhu, Hong-Liang
    Zhu, Ben-Zhong
    Li, Ying-Cong
    Shao, Yi
    Wang, Xiao-Guang
    Xie, Yuan-Hong
    Chen, An-Jun
    Luo, Jun-He
    Jia, Xiao-Yan
    Luo, Yun-Bo
    BIOSCIENCE BIOTECHNOLOGY AND BIOCHEMISTRY, 2008, 72 (01) : 250 - 252
  • [28] Projection of Expression Profiles to Transcription Factor Activity Space Provides Added Information
    Bornshten, Rut
    Danilenko, Michael
    Rubin, Eitan
    GENES, 2022, 13 (10)
  • [29] Limits on information transduction through amplitude and frequency regulation of transcription factor activity
    Hansen, Anders S.
    O'Shea, Erin K.
    ELIFE, 2015, 4
  • [30] Transcription factor expression is the main determinant of variability in gene co-activity
    van Duin, Lucas
    Krautz, Robert
    Rennie, Sarah
    Andersson, Robin
    MOLECULAR SYSTEMS BIOLOGY, 2023, 19 (07)