A genetic toolkit for tagging intronic MiMIC containing genes

  1. Sonal Nagarkar-Jaiswal
  2. Steven Z DeLuca
  3. Pei-Tseng Lee
  4. Wen-Wen Lin
  5. Hongling Pan
  6. Zhongyuan Zuo
  7. Jiangxing Lv
  8. Allan C Spradling
  9. Hugo J Bellen  Is a corresponding author
  1. Howard Hughes Medical Institute, Baylor College of Medicine, United States
  2. Howard Hughes Medical Institute, Carnegie Institution for Science, United States
  3. Baylor College of Medicine, United States
  4. Texas Children's Hospital, United States

Abstract

Previously, we described a large collection of Minos-Mediated Integration Cassettes (MiMICs) that contain two phiC31 recombinase target sites and allow the generation of a new exon that encodes a protein tag when the MiMIC is inserted in a codon intron (Nagarkar-Jaiswal et al., 2015). These modified genes permit numerous applications including assessment of protein expression pattern, identification of protein interaction partners by immunoprecipitation followed by mass spec, and reversible removal of the tagged protein in any tissue. At present, these conversions remain time and labor-intensive as they require embryos to be injected with plasmid DNA containing the exon tag. In this study, we describe a simple and reliable genetic strategy to tag genes/proteins that contain MiMIC insertions using an integrated exon encoding GFP flanked by FRT sequences. We document the efficiency and tag 60 mostly uncharacterized genes.

https://doi.org/10.7554/eLife.08469.001

Introduction

One of the most powerful techniques for characterizing gene function is to generate transgenic animals in which an epitope tag such as GFP has been fused to the gene at its normal genomic location (Ross-Macdonald et al., 1999; Morin et al., 2001; Skarnes et al., 2004). These tagged proteins are extremely useful as they permit determination of protein localization in vivo as well as conditional, tissue specific, temporal and reversible removal of the tagged proteins (Nagarkar-Jaiswal et al., 2015). However, previous methods for generating protein trap alleles in Drosophila have allowed only about 800 genes to be successfully tagged (Kelso et al., 2004; Buszczak et al., 2007; Quinones-Coello et al., 2007; Aleksic et al., 2009; Lowe et al., 2014).

We previously developed a flexible system for engineering the Drosophila genome using the Minos-Mediated Integration Cassette (MiMIC) transposable element. We generated 15,660 strains with a single MiMIC inserted at random within the fly genome and mapped their insertion site (Bellen et al., 2011; Venken et al., 2011; Nagarkar-Jaiswal et al., 2015). MiMIC carries sequences that function as a gene and protein trap when inserted in the proper orientation in a coding intron. Moreover, its content can be replaced by Recombination-Mediated Cassette Exchange (RMCE) leading to the introduction of any desired DNA, such as an artificial exon that encodes a protein tag. This approach can potentially be used to tag thousands of genes. Currently, 2854 existing insertions are located within the coding introns of 1862 distinct genes (Nagarkar-Jaiswal et al., 2015), and MiMIC-like elements can now be placed in any gene of interest by CRISPR (Zhang et al., 2014). Unfortunately, the RMCE method needed to convert these insertions into functional protein traps requires embryonic injections of an appropriate donor DNA and screening of many offspring to identify the desired events, a labor and cost-intensive procedure that does not scale easily. We therefore developed a more efficient and economical in vivo genetic tagging methodology that can in principle be used to generate protein trap alleles of all Drosophila genes.

Results and discussion

We developed a genetic strategy that allows the desired RMCE event to take place efficiently without the need for microinjection. The method uses FLP recombinase to release a genomically integrated DNA flanked by FRT sites into the nucleoplasm where it can efficiently undergo phiC31 integrase-mediated cassette exchange, as shown by Gohl et al. (2011). As shown in Figure 1A, we engineered three donor cassettes, one for each reading frame. The core, which contains a splice acceptor (SA) followed by a (GGS)4 flexible linker, multiple tags (EGFP-FlAsH-StrepII-TEVcs-3xFlag {GFSTF}), another (GGS)4 flexible linker, and a splice donor (SD), is flanked by two inverted attB sites for phiC31-mediated RMCE (Venken et al., 2011). We then cloned this cassette core between tandem FRT sites in a P-element transformation vector (Gong and Golic, 2003). FLP-mediated recombination between the tandem FRT sites excises a circular donor DNA molecule from its initial genetic locus, promoting its efficient recombination with a distal target site (Golic et al., 1997). A mini-white eye color marker gene between our donor cassette and one of the FRT sites allows us to monitor the presence or absence of the donor cassette in FLP recombinase-containing stocks.

Schematic of flippase and phiC31 integrase mediated in vivo protein tagging.

(A) Flp mediated generation of circular DNA with tag sequences. Donor line carries a source of Flp recombinase and phiC31 integrase, and the core cassette for a specific phase (0, 1, or 2) encoding a (GGS)4 flexible linker (L), multiple tags EGFP-FlAsH-StrepII-TEVcs-3xFlag (GFSTF), another (GGS)4 flexible linker, and a splice donor (SD), which is flanked by two inverted attB and two FRT sites oriented in that same direction. Upon Flp expression, the core is flipped out as a circular DNA containing one FRT site. (B) In vivo integration of tag sequence into Minos-Mediated Integration Cassette (MiMIC) locus. At a MiMIC locus in a coding intron, the MiMIC gene trap cassette is replaced by L-EGFP-FlAsH-StrepII-TEVcs-3xFlag-L sequence by phiC31 integrase resulting in loss of yellow+ marker.

https://doi.org/10.7554/eLife.08469.002
Figure 1—source data 1

List of constructs.

https://doi.org/10.7554/eLife.08469.003
Figure 1—source data 2

List of fly strains generated.

Stocks #1 to 6 are stocks that contain the GFSTF construct (phase 0, 1, and 2) for tagging genes/proteins that map to chromosome II and III. Stocks # 7: FRT cassette maps to chromosome 2 and contains phase 0 construct; #8: FRT cassette maps to chromosome 2 and contains phase 1 construct; #9: FRT cassette maps to chromosome 2 and contains phase 2 construct; #10: FRT cassette maps to chromosome 3 and contains phase 0 construct; #11: FRT cassette maps to chromosome 3 and contains phase 1 construct; #12 FRT cassette maps to chromosome 3 and contains phase 2 construct.

https://doi.org/10.7554/eLife.08469.004

We created 6 stocks (Figure 1—source data 2), each harboring one of the three donor transgenes located on the second or third chromosome, and a heat shock-inducible FLP recombinase and a germ line-expressed phiC31 integrase on the X-chromosome. Because the heat shock-inducible FLP recombinase is somewhat leaky at 18°C, the donor transgene is lost from these stocks at a low frequency, resulting in rare white-eyed flies, which we periodically discard.

To initiate RMCE, we crossed the appropriate donor flies to MiMIC-containing flies and heat shocked the resulting embryos and larvae (Figure 2). Within the primordial germ cells of some of the embryos and larvae, phiC31 integrase catalyzed recombination between attB sites in the donor and attP sites in the MiMIC transposon. The positive RMCE events were selected based on the loss of the y + marker present in the original MiMIC (Figure 2). We confirmed the integration and orientation of the donor cassette by PCR as described in Venken et al. (2011). Typically, 50% of the integration events are in the proper orientation.

Crossing scheme for generating EGFP tagged MiMIC lines.

Females carrying the hs-FLP and vasa-phiC31 integrase on the X-chromosome, and the FRT flanked multiple tag (GFSTF) cassette on the II-chromosome are crossed to males carrying a MiMIC insertion in a coding intron of a gene on the III-chromosome. The resulting embryos are heat shocked, and adult progeny with the desired genotype are crossed with flies carrying appropriate balancers. The resulting progeny is screened for the loss of white+ and yellow+ and crossed to flies carrying appropriate balancers to establish stocks, which are then verified by PCR assay.

https://doi.org/10.7554/eLife.08469.005

We observed one to ten RMCE events in 93 out of 113 attempts in our initial trial when we set up 3–7 crosses (Cross 2 in Figure 2). After PCR screening, 60/93 of the tested MiMICs allowed integration of at least one donor in the proper orientation to tag the endogenous gene (Supplementary file 1). In summary, we set up 3–7 vials for each starting cross and obtained 60/113 tagged genes. Since the efficiency of RMCE and the ease of detecting yellow progeny vary between different starting sites, we propose to set up 10–20 vials and to score more progeny to improve the success rate. The method has been found to work for a wide variety of genes including a gene located in a telomeric region (lethal giant larvae (l(2)gl)), suggesting that there may be few limitations in its applicability.

To ensure that the expression pattern and protein distribution correspond to the endogenous protein, we costained two tagged lines with GFP for which specific monoclonal antibodies are available: Eyes shut (Eys) (mAb 21A6,) and Delta (Dl) (mAb C594.9B) (Figure 3A). In both cases, the protein recognized by the mAb colocalizes with the GFP and match the described expression patterns (Das et al., 2013; Haltom et al., 2014). Note, however, that the GFP tagged Eys protein is present in the cytoplasm of the photoreceptors and the inter-rhabdomere spaces (IRS) of the photoreceptors, whereas the mAb against Eys mostly localizes to the IRS (Figure 3A). These data are in agreement with what we previously observed for numerous tagged proteins (Venken et al., 2011; Nagarkar-Jaiswal et al., 2015).

Expression of EGFP tagged protein in various tissues.

(A) Colocalization of GFP tagged proteins with gene specific antibodies: anti-GFP signals (green) show colocalization with anti-Eys (red) in inter-rhabdomere space in adult eye (top panel) and anti-Delta (blue) in L3 eye imaginal disc in bottom panel. Scale bars, 2 μm and 5 μm. (B) Examples of EGFP expression pattern in different tissues from third instar larvae: brain; l(2)gl (A), Dl (B), twins (tws) (C), Sap-r (E), Rgk3 (F), and Hrb98DE (G), wing imaginal disc: kay (D), hindgut: CG10086 (H), and cells of the cuticle: CG5656 (I). Scale bars 100 μm. (AI, except G), 25 μm (G). Eys, eyes shut.

https://doi.org/10.7554/eLife.08469.006

We stained third instar larval brains and discs for the 60 tagged gene/proteins. The examples, shown in Figure 3B, include lethal (2) giant larvae (l(2)gl) (a), Delta (Dl) (b), and twins (tws) (c) whose expression patterns are consistent with published data (Kooh et al., 1993; Albertson and Doe, 2003; Chabu and Doe, 2009). Similarly, kayak/fos (kay) is expressed in wing disc nuclei (d) as described earlier (Zeitlinger and Bohmann, 1999). The expression pattern of the remaining genes has not been previously described (Figure 3B): Saposin-related (Sap-r) is expressed in a subset of cells in larval brain (e), Rad, Gem/Kir family member 3 (Rgk3) is enriched in mushroom body in L3 larval brain (f), Heterogeneous nuclear ribonucleoprotein at 98DE (Hrb98DE) is expressed in L3 larval brain (g), CG10086 is expressed in hindgut (h), and CG5656 is expressed in the cells of the cuticle (i). The expression patterns of all these genes as well as all the genes listed in Supplementary file 1 are documented in the MiMIC RMCE database at http://flypush.imgen.bcm.tmc.edu/pscreen/rmce/.

In summary, we developed a genetic tagging strategy that will greatly facilitate the EGFP tagging of nearly 2000 genes that already carry MiMIC insertions (Nagarkar-Jaiswal et al., 2015). The same strategies can also be used for tagging genes with other protein tags. In addition, a similar strategy based on lox sites instead of FRT cassettes has recently been developed to integrate an artificial exon carrying the GAL4 gene in MiMICs inserted in coding introns (Diao et al., 2015). These insertions are mutagenic but permit the expression of the endogenous wild-type and mutant cDNAs of Drosophila as well as other species under the control of UAS. Moreover, these tagging methods can now be combined with CRISPR directed integration of attP carrying cassettes similar to MiMIC in coding introns to tag almost every gene in Drosophila (Zhang et al., 2014).

Material and methods

Cloning

Request a detailed protocol

The core cassettes (attB-SA- phase 0/1/2-[GGS]4-EGFP-FlAsH-StrepII-TEVcs-3xFlag-[GGS]4-SD-attB) for Phase 0,1, or 2 were excised from pBS-KS-attB1-2-PT-SA-SD-0-EGFP-FlAsH-StrepII-TEVcs-3xFlag, pBS-KS-attB1-2-PT-SA-SD-1-EGFP-FlAsH-StrepII-TEVcs-3xFlag, or pBS-KS-attB1-2-PT-SA-SD-2-EGFP-FlAsH-StrepII-TEVcs-3xFlag as NheI/NsiI fragments and subcloned into P-element vector pW35 (DGRC) between PstI/AvrII to create final donor vectors pW35-FRT-attB-SA-phase 0-(GGS)4-EGFP-FlAsH-StrepII-TEVcs-3xFlag-(GGS)4-SD-attB-white+-FRT, pW35-FRT-attB-SA-phase 1-(GGS)4-EGFP-FlAsH-StrepII-TEVcs-3xFlag-(GGS)4-SD-attB-white+-FRT and pW35-FRT-attB-SA-phase 2-(GGS)4-EGFP-FlAsH-StrepII-TEVcs-3xFlag-(GGS)4-SD-attB-white+-FRT.

In vivo tagging

Request a detailed protocol

Around 15–20 phase-specific homozygous donor females (P{ry+t7.2= hsFLP}12, y1w*M{vas-int.B}ZH-2A; P{FRT-attB-{GFSTF}-attB(w+)-FRT}; Pri1/TM6B, Tb1 or P{ry+t7.2 = hsFLP}12, y1 w*M{vas-int.B}ZH-2A; S1/CyO; P{FRT-attB-{GFSTF}-attB (w+)-FRT}) were crossed with 5–10 males carrying MiMIC insertion in coding intron (y1 w*; Mi[MIC y+] geneMI/Mi[MIC y+] geneMI or balancer). Crosses were transferred to new vials every third day and constantly kept at 18°C. Vials with progeny embryos and larvae were heat shocked on day 3, 4, and 5 for 20 minutes at 37°C in a water bath and raised at 25°C. About 5–7 vials with a pool of 5 F1 males with mosaic red eyes and yellow body were crossed with 10–15 virgins of y1w67c23; In(2LR)Gla, wgGla−1/SM6a or y1w*; D/TM6b, Hu, Tb. Transgenic F2 progeny were screened for loss of yellow+ (yellow-phenotype) and subsequently crossed to virgins of y1w67c23; In(2LR)Gla, wgGla−1/SM6a or y1w*; D/TM3,Sb, Tb to establish stocks. Correct RMCE events were confirmed by PCR assay as described in Nagarkar-Jaiswal et al., 2015.

Immunostaining

Request a detailed protocol

Briefly, third instar larvae were dissected for larval brains, imaginal discs, and gut in 1xPBS and fixed in 3.7% formaldehyde for 30 min at room temperature and washed in 0.2% Triton X-100 (Nagarkar-Jaiswal et al., 2015). They were then incubated for 1 hr at RT in 10% NGS-PBS-0.2% Triton X-100 and stained with primary antibodies diluted in 10% NGS-PBS-0.2% Triton X-100 overnight at 4°C. The samples were washed and incubated with secondary antibodies for 2 hr at RT. The samples were then washed and mounted in Vectashield (Vector Labs, Burlingame, CA) and imaged with a Zeiss LSM710 confocal microscope and processed using Adobe Photoshop (Adobe Systems Inc., San Jose, CA, USA).

Antibodies used

Request a detailed protocol

Primary antibodies used: rabbit anti-GFP 1:1000 (Life Technologies, A11122), mouse anti-Delta 1:1000 (C594.9B, DSHB [Qi et al., 1999]), and mouse anti-Eys 1:250 (21A6, DSHB [Fujita et al., 1982]). Secondary antibodies used: Alexa 488 (Invitrogen, Life Technologies, Grand Island, NY), Cy5 and Cy3 conjugated antibodies (Jackson ImmunoResearch, West Grove, PA) were used at 1:500.

References

    1. Gong WJ
    2. Golic KG
    (2003) Ends-out, or replacement, gene targeting in Drosophila
    Proceedings of the National Academy of Sciences of USA 100:2556–2561.
    https://doi.org/10.1073/pnas.0535280100
    1. Kooh PJ
    2. Fehon RG
    3. Muskavitch MA
    (1993)
    Implications of dynamic patterns of Delta and Notch expression for cellular interactions during Drosophila development
    Development 117:493–507.
    1. Zeitlinger J
    2. Bohmann D
    (1999)
    Thorax closure in Drosophila: involvement of Fos and the JNK pathway
    Development 126:3947–3956.

Decision letter

  1. Mani Ramaswami
    Reviewing Editor; Trinity College Dublin, Ireland

eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.

Thank you for submitting your work entitled “A genetic toolkit for tagging intronic MiMIC containing genes” for peer review at eLife. Your submission has been favorably evaluated by K VijayRaghavan (Senior editor), Mani Ramaswami (Reviewing editor), and two reviewers.

The reviewers have discussed the reviews with one another and the Reviewing editor has drafted this decision to help you prepare a revised submission.

Summary:

This Research Advance describes the creation of a genetic toolkit that allows for the (Recombination Mediated Cassette Exchange) RMCE of an integrated exon encoding for GFP with existing MIMIC insertions. This resource bypasses the need for laborious injections and will facilitate the use of MIMIC lines for epitope tagging genes at their endogenous sites. An extension of the recent MiMIC resource that was published in eLife, it documents a simplified and streamlined version of converting an intronic MiMIC insertion (containing 2 attP sites) into a GFP tagged protein locus without need for the traditional labour-intensive injection approach. The source of the circular donor plasmid that contains both attB sites and the GFP cassette is a Flp mediated excision of a transgenic insertion. Transgenic lines for all three reading frames on second and third chromosome together with Flp and phiC31 sources were generated. The successful exchange has been demonstrated for 60 loci.

This RMCE approach provides a significant advance of the former MiMIC resource and can also be used beyond MiMIC, e.g. if the attP cassette has been inserted by CRISPR.

Essential revisions:

Several points should be addressed:

1) Figure 1 appears incorrect: surely the white+ box should be between the attB site and the FRT.

2) In the paragraph starting with “We observed RMCE events…”, the sentence “We set up 3-7 vials for each starting cross and this was sufficient to obtain 60/116 (113 or 116) tagged genes.” What is meant by (113 or 116)? This paragraph suggests that RMCE is unsuccessful in close to half of the lines tested. Do the authors have any insights into why this may be the case? Is there a common feature amongst the MIMIC lines that failed RMCE?

The authors should provide some idea of how efficient the process is. How many individual events were obtained from the 3-7 starting vials? How many flies were typically screened to get potential recombinants?

3) In “Since the efficiency of RMCE…”, yellow should be replaced by yellow.

4) In the same paragraph, the authors should list examples of genes in heterochromatic regions.

5) Given the utility of newly developed CRISPR/Cas9 techniques, the authors should discuss the strengths of MIMIC system. The case can certainly be made. But the GFP cassettes described here represent only an incremental start. This resource would be greatly enhanced by generating lines with additional tags, as previously described by the authors.

https://doi.org/10.7554/eLife.08469.008

Author response

1) Figure 1 appears incorrect: surely the white+ box should be between the attB site and the FRT.

We thank the reviewers for pointing out this error. We made the correction in Figure 1.

2) In the paragraph starting withWe observed RMCE events…, the sentenceWe set up 3-7 vials for each starting cross and this was sufficient to obtain 60/116 (113 or 116) tagged genes.” What is meant by (113 or 116)? This paragraph suggests that RMCE is unsuccessful in close to half of the lines tested. Do the authors have any insights into why this may be the case? Is there a common feature amongst the MIMIC lines that failed RMCE?

We thank the reviewers for pointing out this issue. We have deleted the numbers.

This paragraph suggests that RMCE is unsuccessful in close to half of the lines tested. Do the authors have any insights into why this may be the case? Is there a common feature amongst the MIMIC lines that failed RMCE? The authors should provide some idea of how efficient the process is.

The RMCE was successful in 82% (93/113) of cases (please see the first sentence of this paragraph). This number includes EGFP cassette insertions in positive and negative orientation. However the probability of getting EGFP inserted in the correct orientation is statistically 50% of total RMCE events. The number 60 is the number of genes for which the EGFP cassette was inserted in the correct orientation resulting in EGFP tagged fusion proteins. Therefore with the current number of crosses (3-7 vials; Cross 2 in Figure 2) the efficiency is 53% (60/113). This can be increased by setting a greater number of screening crosses (10-20 vials per line) to obtain more RMCE events with insertion in positive orientation. Indeed, we recovered significantly more positive events with 7 crosses than with three crosses.

How many individual events were obtained from the 3-7 starting vials? How many flies were typically screened to get potential recombinants?

We obtained 1-10 RMCE positive individuals after screening a total of 300-700 flies from 3-7 vials.

3) InSince the efficiency of RMCE…, yellow should be replaced by yellow.

We have corrected it.

4) In the same paragraph, the authors should list examples of genes in heterochromatic regions.

We have included the gene name (Lethal giant larva (l(2)gl)) in text.

5) Given the utility of newly developed CRISPR/Cas9 techniques, the authors should discuss the strengths of MIMIC system. The case can certainly be made. But the GFP cassettes described here represent only an incremental start. This resource would be greatly enhanced by generating lines with additional tags, as previously described by the authors.

We have modified the last paragraph of the Discussion.

https://doi.org/10.7554/eLife.08469.009

Article and author information

Author details

  1. Sonal Nagarkar-Jaiswal

    Howard Hughes Medical Institute, Baylor College of Medicine, Houston, United States
    Contribution
    SN-J, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article
    Contributed equally with
    Steven Z DeLuca
    Competing interests
    The authors declare that no competing interests exist.
  2. Steven Z DeLuca

    Department of Embryology, Howard Hughes Medical Institute, Carnegie Institution for Science, Baltimore, United States
    Contribution
    SZDL, Conception and design, Drafting or revising the article
    Contributed equally with
    Sonal Nagarkar-Jaiswal
    Competing interests
    The authors declare that no competing interests exist.
  3. Pei-Tseng Lee

    Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, United States
    Contribution
    P-TL, Acquisition of data, Drafting or revising the article
    Competing interests
    The authors declare that no competing interests exist.
  4. Wen-Wen Lin

    Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, United States
    Contribution
    W-WL, Acquisition of data, Drafting or revising the article
    Competing interests
    The authors declare that no competing interests exist.
  5. Hongling Pan

    Howard Hughes Medical Institute, Baylor College of Medicine, Houston, United States
    Contribution
    HP, Acquisition of data, Drafting or revising the article
    Competing interests
    The authors declare that no competing interests exist.
  6. Zhongyuan Zuo

    Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, United States
    Contribution
    ZZ, Acquisition of data, Drafting or revising the article
    Competing interests
    The authors declare that no competing interests exist.
  7. Jiangxing Lv

    Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, United States
    Contribution
    JL, Acquisition of data, Drafting or revising the article
    Competing interests
    The authors declare that no competing interests exist.
  8. Allan C Spradling

    Department of Embryology, Howard Hughes Medical Institute, Carnegie Institution for Science, Baltimore, United States
    Contribution
    ACS, Conception and design, Drafting or revising the article
    Competing interests
    The authors declare that no competing interests exist.
  9. Hugo J Bellen

    1. Howard Hughes Medical Institute, Baylor College of Medicine, Houston, United States
    2. Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, United States
    3. Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, United States
    4. Department of Neuroscience, Baylor College of Medicine, Houston, United States
    5. Program in Developmental Biology, Baylor College of Medicine, Houston, United States
    Contribution
    HJB, Conception and design, Drafting or revising the article
    For correspondence
    hbellen@bcm.edu
    Competing interests
    The authors declare that no competing interests exist.

Funding

National Institute of General Medical Sciences (NIGMS) (RO1GM067858)

  • Pei-Tseng Lee
  • Wen-Wen Lin
  • Zhongyuan Zuo
  • Jiangxing Lv

Howard Hughes Medical Institute (HHMI) (HHMI)

  • Sonal Nagarkar-Jaiswal
  • Hongling Pan
  • Allan C Spradling
  • Hugo J Bellen

Helen Hay Whitney Foundation (Postdoctoral fellowship)

  • Steven Z DeLuca

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank Qiaohong Gao, Zhihua Wang, and Paolo Mangahas for technical help. We thank Karen L Schulze and Megan E Campbell for comments on the manuscript. This research was supported by NIGMS R01GM067858. Confocal microscopy was supported by NICHD 1U54HD083092 to the Baylor College of Medicine Intellectual and Developmental Disabilities Research Center. We thank the Bloomington Drosophila Stock Center (BDSC) for numerous stocks. HJB and AS are Investigators of the Howard Hughes Medical Institute. SZD is supported by a Helen Hay Whitney Foundation postdoctoral fellowship.

Reviewing Editor

  1. Mani Ramaswami, Trinity College Dublin, Ireland

Version history

  1. Received: May 5, 2015
  2. Accepted: June 22, 2015
  3. Accepted Manuscript published: June 23, 2015 (version 1)
  4. Version of Record published: July 13, 2015 (version 2)

Copyright

© 2015, Nagarkar-Jaiswal et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 7,154
    Page views
  • 1,802
    Downloads
  • 92
    Citations

Article citation count generated by polling the highest count across the following sources: Scopus, Crossref, PubMed Central.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Sonal Nagarkar-Jaiswal
  2. Steven Z DeLuca
  3. Pei-Tseng Lee
  4. Wen-Wen Lin
  5. Hongling Pan
  6. Zhongyuan Zuo
  7. Jiangxing Lv
  8. Allan C Spradling
  9. Hugo J Bellen
(2015)
A genetic toolkit for tagging intronic MiMIC containing genes
eLife 4:e08469.
https://doi.org/10.7554/eLife.08469

Further reading

    1. Cell Biology
    2. Microbiology and Infectious Disease
    Valentin Wernet, Marius Kriegler ... Reinhard Fischer
    Research Article Updated

    Communication is crucial for organismic interactions, from bacteria, to fungi, to humans. Humans may use the visual sense to monitor the environment before starting acoustic interactions. In comparison, fungi, lacking a visual system, rely on a cell-to-cell dialogue based on secreted signaling molecules to coordinate cell fusion and establish hyphal networks. Within this dialogue, hyphae alternate between sending and receiving signals. This pattern can be visualized via the putative signaling protein Soft (SofT), and the mitogen-activated protein kinase MAK-2 (MakB) which are recruited in an alternating oscillatory manner to the respective cytoplasmic membrane or nuclei of interacting hyphae. Here, we show that signal oscillations already occur in single hyphae of Arthrobotrys flagrans in the absence of potential fusion partners (cell monologue). They were in the same phase as growth oscillations. In contrast to the anti-phasic oscillations observed during the cell dialogue, SofT and MakB displayed synchronized oscillations in phase during the monologue. Once two fusion partners came into each other’s vicinity, their oscillation frequencies slowed down (entrainment phase) and transit into anti-phasic synchronization of the two cells’ oscillations with frequencies of 104±28 s and 117±19 s, respectively. Single-cell oscillations, transient entrainment, and anti-phasic oscillations were reproduced by a mathematical model where nearby hyphae can absorb and secrete a limited molecular signaling component into a shared extracellular space. We show that intracellular Ca2+ concentrations oscillate in two approaching hyphae, and depletion of Ca2+ from the medium affected vesicle-driven extension of the hyphal tip, abolished the cell monologue and the anti-phasic synchronization of two hyphae. Our results suggest that single hyphae engage in a ‘monologue’ that may be used for exploration of the environment and can dynamically shift their extracellular signaling systems into a ‘dialogue’ to initiate hyphal fusion.

    1. Cell Biology
    2. Microbiology and Infectious Disease
    Juan Xiang, Chaoyang Fan ... Pei Xu
    Research Article Updated

    The relative positions of viral DNA genomes to the host intranuclear environment play critical roles in determining virus fate. Recent advances in the application of chromosome conformation capture-based sequencing analysis (3 C technologies) have revealed valuable aspects of the spatiotemporal interplay of viral genomes with host chromosomes. However, to elucidate the causal relationship between the subnuclear localization of viral genomes and the pathogenic outcome of an infection, manipulative tools are needed. Rapid repositioning of viral DNAs to specific subnuclear compartments amid infection is a powerful approach to synchronize and interrogate this dynamically changing process in space and time. Herein, we report an inducible CRISPR-based two-component platform that relocates extrachromosomal DNA pieces (5 kb to 170 kb) to the nuclear periphery in minutes (CRISPR-nuPin). Based on this strategy, investigations of herpes simplex virus 1 (HSV-1), a prototypical member of the human herpesvirus family, revealed unprecedently reported insights into the early intranuclear life of the pathogen: (I) Viral genomes tethered to the nuclear periphery upon entry, compared with those freely infecting the nucleus, were wrapped around histones with increased suppressive modifications and subjected to stronger transcriptional silencing and prominent growth inhibition. (II) Relocating HSV-1 genomes at 1 hr post infection significantly promoted the transcription of viral genes, termed an ‘Escaping’ effect. (III) Early accumulation of ICP0 was a sufficient but not necessary condition for ‘Escaping’. (IV) Subnuclear localization was only critical during early infection. Importantly, the CRISPR-nuPin tactic, in principle, is applicable to many other DNA viruses.