Functional annotation report: *Drosophila melanogaster* **Hn/Henna** (CG7399; UniProt E8NH57) Falcon Edison Scientific Literature 14 citations 1 artifacts 2026-09-08T18:14:18.949264

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Functional annotation report: Drosophila melanogaster Hn/Henna (CG7399; UniProt E8NH57)

Executive conclusion

The supplied UniProt record and the gene-specific literature are concordant: Hn, more commonly called Henna, is D. melanogaster CG7399, encoding phenylalanine 4-monooxygenase/phenylalanine hydroxylase (PAH; EC 1.14.16.1). Its best-supported physiological function is conversion of L-phenylalanine to L-tyrosine, thereby maintaining endogenous tyrosine supply. The clearest tissue-level evidence places the nutritionally relevant activity in the fat-body/hemocyte Cg-Gal4 domain, although CG7399 has also been reported in larval dopaminergic neurons. Its exact subcellular localization has not been established by the retrieved studies.

A major nomenclature warning is essential. Older literature used aliases such as TPH, DTPH, Trh, or PAH for CG7399. However, CG7399/Henna must not be confused with CG9122/Trh, the principal tryptophan hydroxylase expressed in serotonergic neurons. A 2012 analysis explicitly distinguishes these loci and reports CG7399 in dopaminergic—not serotonergic—larval neurons (huser2012theserotonergiccentral pages 2-3).

1. Identity verification

The literature independently identifies Henna as the fly gene encoding phenylalanine hydroxylase, matching the supplied protein name and domain architecture (francisco2022molecularandneuronal pages 77-83, leitaogoncalves2017commensalbacteriaand pages 5-7). A foundational study cited in the retrieved record immunologically detected PAH protein in D. melanogaster: Silva et al., “Immunological detection of phenylalanine hydroxylase protein in Drosophila melanogaster,” Biochemical Journal 287:85–89 (1992), DOI: https://doi.org/10.1042/bj2870085 (francisco2022molecularandneuronal pages 237-240).

Thus, the identification is sufficiently secure to proceed, provided that historical “TPH/Trh” references are checked at the locus level.

2. Molecular function and reaction

Primary reaction

The high-confidence physiological assignment is:

L-phenylalanine + tetrahydrobiopterin + O₂ → L-tyrosine + 4a-hydroxytetrahydrobiopterin

The direct organismal evidence strongly supports the phenylalanine-to-tyrosine transformation. The 2017 study states that tyrosine is synthesized from phenylalanine by Henna-encoded PAH and shows that reducing Hn function makes dietary tyrosine conditionally essential (leitaogoncalves2017commensalbacteriaand pages 5-7).

Tetrahydrobiopterin, molecular oxygen, and catalytic non-heme iron are expected requirements of biopterin-dependent aromatic-amino-acid hydroxylases and agree with the supplied domain annotations. However, this chemistry should be regarded as family-level mechanistic inference for E8NH57, because the retrieved texts did not contain purified-Hn cofactor titrations, metal analysis, or kinetic constants.

Substrate specificity

The best-supported physiological substrate is L-phenylalanine, and the product is L-tyrosine. In Hn-knockdown flies, dietary tyrosine rescued the nutritional phenotype dose-dependently, whereas proline did not, providing pathway-specific evidence rather than merely a nonspecific amino-acid effect (leitaogoncalves2017commensalbacteriaand pages 5-7, francisco2022molecularandneuronal pages 83-89).

Historical reports that CG7399 can contribute tryptophan-hydroxylating activity do not establish it as the canonical serotonergic tryptophan hydroxylase. CG9122/Trh is the gene expressed in serotonergic brain neurons, whereas CG7399/Henna is reported in dopaminergic neurons (huser2012theserotonergiccentral pages 2-3). No retrieved purified-enzyme study directly compared Hn catalytic efficiency for phenylalanine, tryptophan, and tyrosine; consequently, absolute biochemical specificity and kinetic selectivity remain insufficiently documented here.

Annotation question Best-supported conclusion Evidence type, source, and date Confidence and limitations
Correct identity Hn/Henna is CG7399, the Drosophila melanogaster phenylalanine hydroxylase represented by UniProt E8NH57. It is distinct from CG9122/Trh, the principal neuronal tryptophan hydroxylase. Historical aliases including TPH, PAH, DTPH, and Trh caused nomenclature ambiguity. Gene-specific literature distinguishes CG7399/Henna from CG9122/Trh and reports CG7399 expression in larval dopaminergic rather than serotonergic neurons; Huser et al., published October 2012 (huser2012theserotonergiccentral pages 2-3). High. Gene name, locus, and functional descriptions agree. The E8NH57-to-CG7399 mapping was supplied by the user rather than independently retrieved.
Primary catalytic function Hn catalyzes L-phenylalanine to L-tyrosine, permitting tyrosine to function as a nutritionally nonessential amino acid in flies. Henna is explicitly identified as fly phenylalanine hydroxylase. Hn knockdown produces a tyrosine-dependent phenotype rescued by tyrosine but not proline; Leitão-Gonçalves et al., published April 25, 2017 (leitaogoncalves2017commensalbacteriaand pages 5-7, francisco2022molecularandneuronal pages 83-89). A 1992 study immunologically detected fly phenylalanine-hydroxylase protein (francisco2022molecularandneuronal pages 237-240). High for the physiological Phe-to-Tyr assignment; moderate for detailed enzymology. Retrieved evidence lacks purified-Hn kinetics, direct product measurements, and comparative substrate assays.
Enzyme family, domains, and chemistry The supplied InterPro assignments place E8NH57 in the biopterin-dependent aromatic-amino-acid hydroxylase family. The expected PAH reaction is L-Phe plus tetrahydrobiopterin and oxygen yielding L-Tyr plus 4a-hydroxytetrahydrobiopterin; a catalytic non-heme iron center is expected. Family- and domain-based inference from the user-supplied UniProt and InterPro annotations, supported by the literature classification of Henna as PAH (leitaogoncalves2017commensalbacteriaand pages 5-7, francisco2022molecularandneuronal pages 237-240). Moderate. Dependence on BH4, oxygen, and iron is expected from enzyme-family chemistry but was not directly demonstrated for E8NH57 in the retrieved experimental text. The UniProt recommended name carries computational ARBA evidence.
Substrate specificity The best-supported physiological substrate is phenylalanine, with tyrosine as product. Historical reports of tryptophan-hydroxylating activity do not justify relabeling Hn as the canonical serotonergic Trh enzyme. Tyrosine-specific dietary rescue after Hn knockdown supports the Phe-to-Tyr pathway. CG9122, rather than CG7399, is expressed in serotonergic brain neurons; evidence published in 2012 and 2017 (huser2012theserotonergiccentral pages 2-3, leitaogoncalves2017commensalbacteriaand pages 5-7). High for physiological Phe utilization; low-to-moderate for absolute specificity. No retrieved purified-enzyme comparison of Phe, Trp, and Tyr establishes kinetic selectivity.
Cellular and tissue site of function Hn-dependent systemic tyrosine synthesis is required in the fat-body and hematopoietic Cg-Gal4 domain. Neuronal or tracheal knockdown did not reproduce the diet-dependent feeding phenotype. CG7399 has separately been reported in larval dopaminergic neurons. Cg-Gal4-directed knockdown was effective, whereas elav-Gal4 neuronal and btl-Gal4 tracheal knockdowns were not; sample sizes were 14–20 or 15–20 assays, published in 2017 (leitaogoncalves2017commensalbacteriaand pages 5-7, francisco2022molecularandneuronal pages 83-89). Dopaminergic-neuron expression was discussed in 2012 (huser2012theserotonergiccentral pages 2-3). Moderate-to-high for the tissue required in the feeding assay. Cg-Gal4 also drives in hemocytes, preventing exclusive assignment to fat-body cells. Lack of a neuronal feeding phenotype does not prove absence of neuronal function. No direct subcellular-localization evidence was retrieved.
Nutritional and behavioral pathway By supplying endogenous tyrosine, Hn connects phenylalanine metabolism with amino-acid sufficiency and protein appetite. Whole-animal Hn RNAi caused strong yeast preference when dietary nonessential amino acids were removed. Tyrosine rescued the response dose-dependently, whereas proline did not; commensal bacteria also failed to rescue Hn-dependent tyrosine limitation. Three independent RNAi hairpins; whole-animal feeding assays, n = 10–20; tissue assays, n = 14–20; qPCR, n = 6 with three experimental and two technical replicates per genotype; microbiota comparison, n = 20–30. Leitão-Gonçalves et al., published April 25, 2017 (leitaogoncalves2017commensalbacteriaand pages 21-23, leitaogoncalves2017commensalbacteriaand pages 7-9, leitaogoncalves2017commensalbacteriaand pages 5-7, francisco2022molecularandneuronal pages 83-89). High for the RNAi-by-diet interaction. This is functional physiology rather than direct catalytic biochemistry, and activity of Cg-Gal4 in hemocytes complicates tissue attribution.
DOPA and dopamine pathway Because tyrosine is the precursor used by tyrosine hydroxylase to produce L-DOPA, Hn could indirectly support DOPA and dopamine synthesis. Reported expression in dopaminergic neurons is consistent with this pathway relationship. Expression evidence places CG7399 in larval dopaminergic neurons; published in 2012 (huser2012theserotonergiccentral pages 2-3). Historical genetic work on aromatic-amino-acid hydroxylases and DOPA was identified, but its full experimental text was not retrieved. Moderate as pathway context; low for a direct Hn-specific flux claim. No retrieved experiment quantified L-DOPA or dopamine following Hn manipulation.
Serotonin and pteridines Older literature associates Hn or PAH with serotonin and pteridine biology, including eye-pigment effects, but these claims remain historical and incompletely verified here. Hn is not CG9122/Trh, the canonical serotonergic hydroxylase. A 1997 paper on PAH participation in serotonin and pteridine synthesis and later henna-splicing and pigment studies were identified, but full results were unavailable. A 2012 analysis directly distinguishes CG7399 from CG9122 (huser2012theserotonergiccentral pages 2-3). Low-to-moderate. Titles alone cannot establish mechanism, magnitude, or directness. Reported serotonin effects could be indirect through amino-acid or pteridine-cofactor metabolism and must not be conflated with CG9122 activity.
Recent research status The search found no clearly gene-specific Hn or E8NH57 primary study from 2023–2024. The strongest functional study retrieved was published in 2017; a 2022 thesis restated and contextualized those findings. Search results and the 2022 thesis discussion of Henna-dependent tyrosine synthesis and feeding assays (francisco2022molecularandneuronal pages 77-83, francisco2022molecularandneuronal pages 83-89). Moderate. Absence from the retrieved search set does not prove that no 2023–2024 publication exists. Current annotation relies chiefly on foundational biochemical and genetic literature and the 2017 nutritional study.

Table: Evidence-ranked annotation of Drosophila Hn/Henna (CG7399; E8NH57), separating direct experiments from family-level inference and unresolved historical claims. It highlights the CG9122/Trh nomenclature distinction and scarcity of 2023–2024 gene-specific research.

3. Biological processes and pathways

Phenylalanine and tyrosine homeostasis

Hn supplies tyrosine from dietary or systemic phenylalanine. Under normal conditions, this permits tyrosine to behave as a nonessential amino acid. Ubiquitous Hn RNAi effectively converted tyrosine into a conditionally essential nutrient: removing nonessential amino acids induced a strong yeast appetite in knockdown flies but not controls. Adding tyrosine suppressed this response dose-dependently (leitaogoncalves2017commensalbacteriaand pages 5-7, francisco2022molecularandneuronal pages 83-89).

This places Hn upstream of several tyrosine-dependent outputs:

  1. Protein synthesis and systemic amino-acid balance. This is the most directly demonstrated role.
  2. Nutrient-sufficiency signaling and protein appetite. Hn deficiency is sensed physiologically as limiting tyrosine and changes food selection.
  3. L-DOPA and dopamine biosynthesis. Tyrosine is the precursor for tyrosine-hydroxylase-dependent L-DOPA production. CG7399 expression in larval dopaminergic neurons is consistent with this relationship, but the retrieved studies did not quantify dopamine or L-DOPA after Hn manipulation (huser2012theserotonergiccentral pages 2-3).
  4. Cuticle and pigment metabolism. These are plausible downstream consequences of altered tyrosine/DOPA and pteridine metabolism, and older henna-mutant literature addresses such phenotypes; nevertheless, direct quantitative evidence was not available in the retrieved full text.

Serotonin and pteridine metabolism

Older studies reported PAH/Henna involvement in serotonin and pteridine biology, including Alcañiz and Silva, “Phenylalanine hydroxylase participation in the synthesis of serotonin and pteridines in Drosophila melanogaster,” published March 1997, DOI: https://doi.org/10.1016/S0742-8413(96)00148-X. A later study associated a 45-nucleotide insertion in henna pre-mRNA with reduced drosopterin content: Wang et al., published August 2008, DOI: https://doi.org/10.1007/s11427-008-0089-6.

These historical claims require caution because their full experimental results were unavailable in the retrieved corpus. Any serotonin effect could reflect substrate overlap, altered pteridine/cofactor metabolism, or an indirect consequence of amino-acid homeostasis. It should not be interpreted as evidence that Hn is CG9122/Trh or that Hn is the principal serotonergic enzyme (huser2012theserotonergiccentral pages 2-3).

4. Tissue and cellular localization

Functional tissue requirement

The strongest functional localization comes from tissue-directed RNAi. Hn knockdown using Cg-Gal4, which drives in the fat body and also hemocytes, caused increased yeast appetite when dietary nonessential amino acids were absent. Equivalent knockdown with elav-Gal4 in neurons or btl-Gal4 in trachea did not reproduce that nutritional phenotype (leitaogoncalves2017commensalbacteriaand pages 21-23, leitaogoncalves2017commensalbacteriaand pages 5-7, francisco2022molecularandneuronal pages 83-89).

The appropriate interpretation is that systemic tyrosine synthesis relevant to this feeding assay occurs in the fat-body/hemocyte expression domain, analogous to the mammalian liver’s role in amino-acid metabolism. The experiment cannot assign the effect exclusively to fat-body cells because Cg-Gal4 also labels hemocytes (leitaogoncalves2017commensalbacteriaand pages 5-7).

Nervous system expression

CG7399 has been reported in larval dopaminergic neurons rather than serotonergic neurons (huser2012theserotonergiccentral pages 2-3). The absence of a feeding phenotype after broad neuronal RNAi does not prove that neuronal Hn lacks function; it only shows that neuronal knockdown was insufficient to generate the specific diet-dependent appetite phenotype tested.

Subcellular localization

No direct microscopy, fractionation, organelle-targeting, secretion, or membrane-topology evidence was retrieved. Given that PAH is a soluble metabolic enzyme and the supplied annotation contains catalytic aromatic-amino-acid-hydroxylase domains rather than membrane-spanning or signal-peptide features, a soluble intracellular localization is the most reasonable inference, but it is not directly demonstrated for E8NH57 by the retrieved studies.

5. Experimental evidence and quantitative findings

The most informative modern experiment is Leitão-Gonçalves et al., published April 25, 2017 in PLOS Biology, DOI: https://doi.org/10.1371/journal.pbio.2000862.

The behavioral readout was yeast preference during defined-diet amino-acid deprivation. The study used nonparametric Kruskal–Wallis tests with Dunn correction for relevant comparisons and reported significance categories through p<0.001. Exact effect sizes are not recoverable from the retrieved text, so they should not be reconstructed from figure descriptions alone (leitaogoncalves2017commensalbacteriaand pages 5-7, leitaogoncalves2017commensalbacteriaand pages 3-5).

6. Current applications and real-world relevance

Hn is presently most useful as an experimental metabolic model, not as a deployed biotechnology or therapeutic target.

These are research implementations rather than evidence that Hn itself has a current clinical or industrial application.

7. Recent developments and state of the literature

A targeted search did not identify a clearly Hn/E8NH57-specific primary paper from 2023–2024. The strongest recent gene-specific experiment retrieved remains the 2017 PLOS Biology study. A 2022 research synthesis restated the Hn RNAi, dietary rescue, and tissue-directed findings but did not supply new purified-enzyme kinetics or structural characterization (francisco2022molecularandneuronal pages 77-83, francisco2022molecularandneuronal pages 83-89).

Accordingly, the current annotation is unusually dependent on foundational biochemical/genetic studies and one strong modern physiological study. There is no retrieved Hn-specific cryo-EM/X-ray structure, catalytic-efficiency dataset, proteome-resolved subcellular localization experiment, or 2023–2024 mechanistic update.

8. Expert assessment and annotation confidence

High confidence:

Moderate confidence:

Unresolved or weakly supported:

Overall functional annotation

Hn/Henna encodes a soluble, biopterin-dependent aromatic-amino-acid hydroxylase whose primary physiological role in D. melanogaster is phenylalanine hydroxylation to produce tyrosine. Its systemic metabolic function is supported most strongly in the fat-body/hemocyte domain, where it helps maintain tyrosine sufficiency and thereby prevents a compensatory protein/yeast appetite. Downstream contributions to DOPA/dopamine and pigmentation are biologically plausible, while serotonin and pteridine effects remain less directly resolved. Historical TPH/Trh aliases must not be used to conflate Hn/CG7399 with the serotonergic tryptophan hydroxylase CG9122.

References

  1. (huser2012theserotonergiccentral pages 2-3): Annina Huser, Astrid Rohwedder, Anthi A. Apostolopoulou, Annekathrin Widmann, Johanna E. Pfitzenmaier, Elena M. Maiolo, Mareike Selcho, Dennis Pauls, Alina von Essen, Tripti Gupta, Simon G. Sprecher, Serge Birman, Thomas Riemensperger, Reinhard F. Stocker, and Andreas S. Thum. The serotonergic central nervous system of the drosophila larva: anatomy and behavioral function. PLoS ONE, 7:e47518, Oct 2012. URL: https://doi.org/10.1371/journal.pone.0047518, doi:10.1371/journal.pone.0047518. This article has 95 citations and is from a peer-reviewed journal.

  2. (francisco2022molecularandneuronal pages 77-83): APT Francisco. Molecular and neuronal mechanisms underlying protein appetite. Unknown journal, 2022.

  3. (leitaogoncalves2017commensalbacteriaand pages 5-7): Ricardo Leitão-Gonçalves, Zita Carvalho-Santos, Ana Patrícia Francisco, Gabriela Tondolo Fioreze, Margarida Anjos, Célia Baltazar, Ana Paula Elias, Pavel M. Itskov, Matthew D. W. Piper, and Carlos Ribeiro. Commensal bacteria and essential amino acids control food choice behavior and reproduction. Apr 2017. URL: https://doi.org/10.1371/journal.pbio.2000862, doi:10.1371/journal.pbio.2000862. This article has 389 citations and is from a highest quality peer-reviewed journal.

  4. (francisco2022molecularandneuronal pages 237-240): APT Francisco. Molecular and neuronal mechanisms underlying protein appetite. Unknown journal, 2022.

  5. (francisco2022molecularandneuronal pages 83-89): APT Francisco. Molecular and neuronal mechanisms underlying protein appetite. Unknown journal, 2022.

  6. (leitaogoncalves2017commensalbacteriaand pages 21-23): Ricardo Leitão-Gonçalves, Zita Carvalho-Santos, Ana Patrícia Francisco, Gabriela Tondolo Fioreze, Margarida Anjos, Célia Baltazar, Ana Paula Elias, Pavel M. Itskov, Matthew D. W. Piper, and Carlos Ribeiro. Commensal bacteria and essential amino acids control food choice behavior and reproduction. Apr 2017. URL: https://doi.org/10.1371/journal.pbio.2000862, doi:10.1371/journal.pbio.2000862. This article has 389 citations and is from a highest quality peer-reviewed journal.

  7. (leitaogoncalves2017commensalbacteriaand pages 7-9): Ricardo Leitão-Gonçalves, Zita Carvalho-Santos, Ana Patrícia Francisco, Gabriela Tondolo Fioreze, Margarida Anjos, Célia Baltazar, Ana Paula Elias, Pavel M. Itskov, Matthew D. W. Piper, and Carlos Ribeiro. Commensal bacteria and essential amino acids control food choice behavior and reproduction. Apr 2017. URL: https://doi.org/10.1371/journal.pbio.2000862, doi:10.1371/journal.pbio.2000862. This article has 389 citations and is from a highest quality peer-reviewed journal.

  8. (leitaogoncalves2017commensalbacteriaand pages 3-5): Ricardo Leitão-Gonçalves, Zita Carvalho-Santos, Ana Patrícia Francisco, Gabriela Tondolo Fioreze, Margarida Anjos, Célia Baltazar, Ana Paula Elias, Pavel M. Itskov, Matthew D. W. Piper, and Carlos Ribeiro. Commensal bacteria and essential amino acids control food choice behavior and reproduction. Apr 2017. URL: https://doi.org/10.1371/journal.pbio.2000862, doi:10.1371/journal.pbio.2000862. This article has 389 citations and is from a highest quality peer-reviewed journal.

Artifacts

Citations

  1. huser2012theserotonergiccentral pages 2-3
  2. francisco2022molecularandneuronal pages 237-240
  3. leitaogoncalves2017commensalbacteriaand pages 5-7
  4. leitaogoncalves2017commensalbacteriaand pages 21-23
  5. leitaogoncalves2017commensalbacteriaand pages 7-9
  6. francisco2022molecularandneuronal pages 77-83
  7. francisco2022molecularandneuronal pages 83-89
  8. leitaogoncalves2017commensalbacteriaand pages 3-5
  9. https://doi.org/10.1042/bj2870085
  10. https://doi.org/10.1016/S0742-8413(96
  11. https://doi.org/10.1007/s11427-008-0089-6.
  12. https://doi.org/10.1371/journal.pbio.2000862.
  13. https://doi.org/10.1371/journal.pone.0047518,
  14. https://doi.org/10.1371/journal.pbio.2000862,