diff --git a/FEATURE_BACKLOG.md b/FEATURE_BACKLOG.md
index c92e2d95b365fe681eb5d5bcb5c80705d495739c..bcd6e58871caf739127836129125b3dabf054a80 100644
--- a/FEATURE_BACKLOG.md
+++ b/FEATURE_BACKLOG.md
@@ -56,7 +56,7 @@ Decisions and dependencies for implementation:
 - Implemented: eukaryotic tree with bounded subtrees and exact, expandable “Other lineages” aggregates; NCBI taxonomy with source checksums and dates; merged IDs resolved. Unresolved taxonomy is excluded from the eukaryotic view.
 - Implemented: English names beside every scientific name, from NCBI Taxonomy common names plus a curated gloss table (`refresh_common_names.py`).
 - Remaining: connect the taxonomy inventory to accession-level annotation results and distinguish partial/complete base coverage.
-- Remaining: clade icons. [PhyloPic](https://www.phylopic.org) is the usable source and resolves NCBI taxids directly, walking up the tree when a clade has no silhouette of its own: `GET https://api.phylopic.org/resolve/ncbi.nlm.nih.gov/taxid/{taxid}?embed_primaryImage=true` with `Accept: application/vnd.phylopic.v2+json`, which returns an SVG under `_embedded.primaryImage._links.vectorFile.href`. Two things to settle before using it: licences differ per image (CC0, CC BY 4.0, CC BY-SA 3.0 and at least one CC BY-NC-SA 3.0 among the groups the atlas shows first), so each icon needs its own credit line and the non-commercial ones need replacing or omitting; and the SVGs should be fetched once into the repo rather than hot-linked, to keep the Space free of external requests.
+- Implemented: clade silhouettes from PhyloPic, filtered to CC0/Public Domain Mark/CC BY at build time (`refresh_icons.py`), with every CC BY artist credited in the interface.
 
 ## F003 — Comparison with RefSeq annotations
 
diff --git a/README.md b/README.md
index 5a79ca59b281c14c8667ab453f57133880fe1d53..09d32f95ca1344ae08d6dea950367c3894408810 100644
--- a/README.md
+++ b/README.md
@@ -27,6 +27,8 @@ Click a group to expand its direct lineages into a new column on the right; ever
 
 English names come from `data/common_names.json`, built by `refresh_common_names.py` from NCBI Taxonomy's `genbank common name` and `common name` entries (about 9,200 taxa) plus a curated table of roughly 190 short glosses for the large unranked clades NCBI leaves unnamed. Glosses are plain-language summaries of the living members of a clade, not formal synonyms; the scientific name stays the primary label and a gloss that merely repeats it is dropped at build time. Rebuild it with `python refresh_common_names.py` once `.cache/coverage/taxdump.tar.gz` is present; the build fails if a curated taxid no longer matches its scientific name in the snapshot.
 
+Each group also carries a clade silhouette from [PhyloPic](https://www.phylopic.org), fetched by `refresh_icons.py` into `data/icons/` with the map and credits in `data/icons.json`. The fetcher resolves each taxon's NCBI ID to a PhyloPic node and prefers that node's representative image, falling back to a clade search only when the representative one is not free to use. Both searches exclude NonCommercial and ShareAlike images: NC is unsettled for a Space run by a company, and SA would reach into the repository as soon as an icon were adapted. What ships is CC0, Public Domain Mark and CC BY, stored byte-for-byte as PhyloPic serves it, with every CC BY artist credited in the "Silhouette credits" panel. Icons are fetched for groups with at least 100 assemblies; smaller groups borrow their nearest illustrated ancestor at render time. Gradio serves them as static files through `gr.set_static_paths`, so each is cached once by the browser instead of riding along in every re-render.
+
 The graphic uses server-rendered SVG/HTML with scoped styles in `atlas.css` and delegated click/keyboard handlers in `atlas.js`; no external graphics library or image assets are required. Include these files when deploying.
 
 The annotation workspace shares the atlas palette and typography through `style.py` and `app.css`: warm panels, serif section headings, green controls, and matching tables, downloads, and disclosures. CDS plots use a solid green positive strand and a dashed warm-brown negative strand; binary labels use green. The fixed light palette stays consistent with the landing graphic under either OS color preference. Include both style files when deploying; Gradio 6 receives the theme and stylesheet in `launch()`.
diff --git a/app.css b/app.css
index f1becc9ec82a36bdce4b3265526e2e7c29c18232..29f438509eba123de9bd74726f49e70c70352094 100644
--- a/app.css
+++ b/app.css
@@ -39,11 +39,11 @@
 /* Full-width navigation: one equal segment for each view. */
 .gradio-container { width:100%!important; min-width:0!important; box-sizing:border-box; }
 #atlas-navigation { border:0; background:transparent; min-width:0; max-width:100%; }
-#atlas-navigation > .tab-wrapper { width:100%; height:auto!important; min-height:76px; border:0!important; box-shadow:none!important; margin:0 0 20px; padding:0; }
-#atlas-navigation > .tab-wrapper > .tab-container { display:grid!important; grid-template-columns:repeat(2,minmax(0,1fr)); gap:6px; width:100%!important; height:auto!important; box-sizing:border-box; border:1px solid #dbe3d3!important; border-radius:18px; padding:6px; margin:0; background:#edf2e7; box-shadow:none!important; }
-#atlas-navigation > .tab-wrapper > .tab-container > button { display:flex!important; align-items:center; justify-content:center; width:100%; min-width:0; min-height:62px; height:auto!important; box-sizing:border-box; padding:14px 12px; margin:0!important; border:0!important; border-radius:12px; box-shadow:none!important; background:transparent; color:#52694f; font:600 17px/1.3 Arial,Helvetica,sans-serif; white-space:normal; text-align:center; text-decoration:none!important; }
-#atlas-navigation > .tab-wrapper > .tab-container > button:hover { background:#e0e9d9; color:#173c30; }
-#atlas-navigation > .tab-wrapper > .tab-container > button[aria-selected="true"] { background:#245d45; color:#fffefa; }
+#atlas-navigation > .tab-wrapper { width:100%; height:auto!important; min-height:0; border:0!important; box-shadow:none!important; margin:0 0 18px; padding:0; }
+#atlas-navigation > .tab-wrapper > .tab-container { display:flex!important; justify-content:flex-start; gap:26px; width:100%!important; height:auto!important; box-sizing:border-box; border:0!important; border-bottom:1px solid #dbe3d3!important; border-radius:0; padding:0; margin:0; background:transparent; box-shadow:none!important; }
+#atlas-navigation > .tab-wrapper > .tab-container > button { display:inline-flex!important; align-items:center; justify-content:flex-start; width:auto; min-width:0; min-height:0; height:auto!important; box-sizing:border-box; padding:0 2px 11px; margin:0!important; border:0!important; border-bottom:2px solid transparent!important; border-radius:0; box-shadow:none!important; background:transparent; color:#6c7d6a; font:600 14px/1.4 Arial,Helvetica,sans-serif; white-space:nowrap; text-align:left; text-decoration:none!important; transition:color .15s; }
+#atlas-navigation > .tab-wrapper > .tab-container > button:hover { background:transparent; color:#173c30; }
+#atlas-navigation > .tab-wrapper > .tab-container > button[aria-selected="true"] { background:transparent; color:#173c30; border-bottom-color:#245d45!important; }
 #atlas-navigation > .tab-wrapper::before, #atlas-navigation > .tab-wrapper::after,
 #atlas-navigation > .tab-wrapper > .tab-container::before, #atlas-navigation > .tab-wrapper > .tab-container::after,
 #atlas-navigation > .tab-wrapper > .tab-container > button::before, #atlas-navigation > .tab-wrapper > .tab-container > button::after { content:none!important; display:none!important; }
@@ -54,6 +54,6 @@
 .database-heading h1 { color:#173c30; font:400 clamp(32px,5vw,48px)/1.1 Georgia,'Times New Roman',serif; letter-spacing:-1px; margin:0 0 12px; }
 .database-heading p { color:#647467; font:14px/1.6 Arial,Helvetica,sans-serif; margin:0; }
 @media(max-width:700px) {
- #atlas-navigation > .tab-wrapper > .tab-container { gap:4px; padding:4px; border-radius:14px; }
- #atlas-navigation > .tab-wrapper > .tab-container > button { font-size:12px; min-height:68px; padding:10px 3px; border-radius:10px; overflow-wrap:anywhere; }
+ #atlas-navigation > .tab-wrapper > .tab-container { gap:18px; }
+ #atlas-navigation > .tab-wrapper > .tab-container > button { font-size:13px; padding:0 1px 9px; }
 }
diff --git a/atlas.css b/atlas.css
index 42a8b576824869b95eefb707bc59237501cfc485..e3db05658e5eb6d342bcf15b8cda4a75fbb02daa 100644
--- a/atlas.css
+++ b/atlas.css
@@ -37,12 +37,15 @@
 .tree-node.is-selected .bar-outline { stroke:#173c30; stroke-width:1.5; }
 .tree-node.is-sibling { opacity:.62; transition:opacity .15s; }
 .tree-node.is-sibling:hover,.tree-node.is-sibling:focus { opacity:1; }
+.tree-icon { opacity:.62; transition:opacity .15s; }
+.tree-node.is-selected .tree-icon { opacity:.85; }
+.tree-node:not(.is-direct):hover .tree-icon { opacity:.9; }
 .tree-label,.tree-english,.tree-count { paint-order:stroke; stroke:#f7f8f0; stroke-width:4px; stroke-linejoin:round; }
 .tree-label { font:600 13px Arial,Helvetica,sans-serif; fill:#254735; transition:fill .15s; }
 .tree-node.is-selected .tree-label { font-weight:700; fill:#173c30; }
 .tree-english { font:italic 11.5px Georgia,'Times New Roman',serif; fill:#5d7a66; }
 .tree-count { font:11px Arial,Helvetica,sans-serif; fill:#697966; }
-.tree-node:not(.is-direct):hover .tree-label,.tree-node:focus .tree-label { fill:#0f2e22; text-decoration:underline; }
+.tree-node:not(.is-direct):hover .tree-label,.tree-node:focus .tree-label { fill:#0f2e22; }
 .tree-node:not(.is-direct):hover .bar-outline { stroke:#287557; stroke-width:2; }
 .atlas-footer { display:flex; align-items:center; flex-wrap:wrap; gap:15px; justify-content:space-between; border-top:1px solid #dde4d5; padding-top:14px; color:#6c7a66; font-size:11px; line-height:1.6; }
 .atlas-legend { display:flex; gap:7px; align-items:center; }
diff --git a/data/icons.json b/data/icons.json
new file mode 100644
index 0000000000000000000000000000000000000000..f10a3e27231f4de2dad80dd46197ec07a3d880b2
--- /dev/null
+++ b/data/icons.json
@@ -0,0 +1,4303 @@
+{
+ "source": "https://www.phylopic.org",
+ "build": 558,
+ "api": "https://api.phylopic.org/resolve/ncbi.nlm.nih.gov/taxid/{taxid} then /images?filter_clade=\u2026&filter_license_nc=false&filter_license_sa=false",
+ "note": "Silhouettes are stored exactly as PhyloPic serves them, unmodified.",
+ "minimum_assemblies": 100,
+ "counts": {
+  "primary_image": 557,
+  "assigned": 701,
+  "clade_fallback": 117,
+  "unresolved": 392,
+  "no_free_image": 4,
+  "distinct_icons": 447,
+  "bytes": 5891595
+ },
+ "licenses": {
+  "https://creativecommons.org/licenses/by/4.0/": 59,
+  "https://creativecommons.org/publicdomain/zero/1.0/": 297,
+  "https://creativecommons.org/licenses/by/3.0/": 45,
+  "https://creativecommons.org/publicdomain/mark/1.0/": 46
+ },
+ "images": {
+  "00508809-a509-4330-9e3d-9d3b54248667": {
+   "license": "https://creativecommons.org/licenses/by/4.0/",
+   "attribution": "Graham Montgomery",
+   "contributor": "Graham Montgomery",
+   "page": "https://www.phylopic.org/images/00508809-a509-4330-9e3d-9d3b54248667",
+   "ratio": 0.993,
+   "bytes": 3857
+  },
+  "0192754b-c8ab-43c0-a475-1a2ad0cfd202": {
+   "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+   "attribution": "Anilocra (vectorization by Yan Wong)",
+   "contributor": "Yan Wong",
+   "page": "https://www.phylopic.org/images/0192754b-c8ab-43c0-a475-1a2ad0cfd202",
+   "ratio": 0.544,
+   "bytes": 2484
+  },
+  "01a21193-6599-463c-a5f0-75b6fe03189d": {
+   "license": "https://creativecommons.org/licenses/by/3.0/",
+   "attribution": "Auckland Museum and T. Michael Keesey",
+   "contributor": "T. Michael Keesey",
+   "page": "https://www.phylopic.org/images/01a21193-6599-463c-a5f0-75b6fe03189d",
+   "ratio": 1.813,
+   "bytes": 7274
+  },
+  "02974d7f-f93c-4c59-b847-3b080368c168": {
+   "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+   "attribution": "Carlos Cano-Barbacil",
+   "contributor": "Carlos Cano-Barbacil",
+   "page": "https://www.phylopic.org/images/02974d7f-f93c-4c59-b847-3b080368c168",
+   "ratio": 3.728,
+   "bytes": 1966
+  },
+  "030163a0-eddc-4bf3-aac2-5e7594124820": {
+   "license": "https://creativecommons.org/licenses/by/4.0/",
+   "attribution": "Bob Nicholls (original illustration)",
+   "contributor": "T. Michael Keesey",
+   "page": "https://www.phylopic.org/images/030163a0-eddc-4bf3-aac2-5e7594124820",
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+   "attribution": "Niall McGinty",
+   "contributor": "Niall McGinty",
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diff --git a/refresh_icons.py b/refresh_icons.py
new file mode 100644
index 0000000000000000000000000000000000000000..5139ca5110d415671e4622cc553c3c4ad78c8aaf
--- /dev/null
+++ b/refresh_icons.py
@@ -0,0 +1,226 @@
+"""Fetch clade silhouettes from PhyloPic for the groups the Genome Atlas shows.
+
+PhyloPic resolves NCBI taxids directly and walks up its own tree when a clade has
+no silhouette of its own, so a request for Eumetazoa answers with the nearest
+illustrated ancestor. Two filters are always applied:
+
+* ``filter_license_nc=false`` drops NonCommercial images. Whether a Space that
+  sells nothing counts as noncommercial use is genuinely unsettled, and the
+  question is avoidable: every group in the atlas has a freer alternative.
+* ``filter_license_sa=false`` drops ShareAlike images, whose terms would reach
+  into the repository as soon as an icon were adapted.
+
+What remains is CC0 and CC BY 4.0. Files are stored exactly as PhyloPic serves
+them, unmodified, and ``data/icons.json`` carries the licence and attribution
+for each one so the interface can credit the artists.
+"""
+import argparse
+from collections import Counter
+import json
+import math
+from pathlib import Path
+import sqlite3
+import time
+import urllib.error
+import urllib.request
+
+ROOT = Path(__file__).resolve().parent
+API = "https://api.phylopic.org"
+HEADERS = {"Accept": "application/vnd.phylopic.v2+json",
+           "User-Agent": "huggingface-genome-atlas (https://huggingface.co/spaces/HuggingFaceBio/genbank-annotation-explorer)"}
+EUKARYOTA = 2759
+COLUMN_LIMIT = 6
+# Groups below this many assemblies inherit an ancestor's icon at render time.
+MIN_ASSEMBLIES = 100
+# Columns within this many steps of the root get an icon regardless of size.
+SHALLOW_DEPTH = 5
+# The node's representative image almost always wins. Contact sheets of the
+# alternatives showed why: for Porifera the representative image is a vase
+# sponge, while every other free candidate in the clade is an obscure relative.
+# Shape only overrules it past exp(1.4), roughly 4:1, where a silhouette is a
+# sliver whatever the renderer does.
+PRIMARY_BONUS = 1.4
+
+
+def get(url, headers=HEADERS, retries=3):
+    for attempt in range(retries):
+        try:
+            with urllib.request.urlopen(urllib.request.Request(url, headers=headers), timeout=60) as response:
+                return response.read()
+        except (urllib.error.HTTPError, urllib.error.URLError, TimeoutError) as exc:
+            if isinstance(exc, urllib.error.HTTPError) and exc.code == 404:
+                return None
+            if attempt == retries - 1:
+                raise
+            time.sleep(2 * (attempt + 1))
+
+
+def candidate(image):
+    """uuid, licence and aspect ratio of an embedded image object."""
+    links = image.get("_links") or {}
+    sizes = (links.get("rasterFiles") or [{}])[0].get("sizes", "")
+    uuid = image.get("uuid") or links.get("self", {}).get("href", "").removeprefix("/images/").partition("?")[0]
+    try:
+        width, height = (int(part) for part in sizes.split("x"))
+    except ValueError:
+        return None
+    if not uuid or not height:
+        return None
+    return {"uuid": uuid, "license": links.get("license", {}).get("href", ""), "ratio": width / height}
+
+
+def shape_score(found):
+    """Distance from square, symmetric in either direction."""
+    return abs(math.log(found["ratio"]))
+
+
+def is_free(license_url):
+    """CC0, Public Domain Mark and plain CC BY only; no NonCommercial, no ShareAlike."""
+    return bool(license_url) and "-nc" not in license_url and "-sa" not in license_url
+
+
+def get_json(url):
+    body = get(url)
+    return json.loads(body) if body else None
+
+
+def visible_taxa(conn, minimum, shallow=SHALLOW_DEPTH):
+    """Taxa reachable through the columns the atlas draws, largest first.
+
+    Two reasons to fetch an icon. Large groups get one because they are where
+    most assemblies are. The first few columns get one whatever their size,
+    because a group that borrows an ancestor's silhouette looks identical to its
+    siblings, and Ichthyosporea, Filasterea, Choanoflagellata and Rotosphaerida
+    all sit on the opening screen with single-digit assembly counts.
+    """
+    rows = {r["taxid"]: dict(r) for r in conn.execute("SELECT taxid, parent_id, total_count FROM taxa")}
+    children = {}
+    for row in rows.values():
+        if row["parent_id"] != row["taxid"]:
+            children.setdefault(row["parent_id"], []).append(row)
+    for group in children.values():
+        group.sort(key=lambda r: (-r["total_count"], r["taxid"]))
+    seen, stack = set(), [EUKARYOTA]
+    while stack:
+        taxid = stack.pop()
+        if taxid in seen:
+            continue
+        seen.add(taxid)
+        stack.extend(child["taxid"] for child in children.get(taxid, [])[:COLUMN_LIMIT])
+    near, level = {EUKARYOTA}, [EUKARYOTA]
+    for _ in range(shallow):
+        level = [c["taxid"] for t in level for c in children.get(t, [])[:COLUMN_LIMIT] if c["taxid"] not in near]
+        near.update(level)
+    chosen = [t for t in seen if rows[t]["total_count"] >= minimum or t in near]
+    return sorted(chosen, key=lambda t: -rows[t]["total_count"])
+
+
+def build(database, icon_dir, output, minimum=MIN_ASSEMBLIES, pause=0.1):
+    with sqlite3.connect(f"{Path(database).resolve().as_uri()}?mode=ro", uri=True) as conn:
+        conn.row_factory = sqlite3.Row
+        taxa = visible_taxa(conn, minimum)
+    # Listing endpoints reject a request that does not pin the catalogue build.
+    build_number = get_json(f"{API}/")["build"]
+    print(f"Resolving {len(taxa):,} taxa with at least {minimum} assemblies against build {build_number}", flush=True)
+
+    nodes, shapes, images, assignments = {}, {}, {}, {}
+    counts = Counter()
+    for position, taxid in enumerate(taxa, 1):
+        resolved = get_json(f"{API}/resolve/ncbi.nlm.nih.gov/taxid/{taxid}?embed_primaryImage=true")
+        node = (resolved or {}).get("_links", {}).get("self", {}).get("href", "")
+        node = node.removeprefix("/nodes/").partition("?")[0]
+        if not node:
+            counts["unresolved"] += 1
+            continue
+        if node not in nodes:
+            # Two things decide the pick. The node's own primary image is the one
+            # PhyloPic considers representative, so it gets a head start. But
+            # silhouettes range from 0.2 to 9.5 in aspect ratio, and anything far
+            # from square collapses into a sliver at icon size, so proportion is
+            # scored too and a badly shaped representative loses to a square one.
+            primary = (resolved.get("_embedded") or {}).get("primaryImage") or {}
+            candidates = []
+            if primary:
+                candidates.append((candidate(primary), True))
+            listing = get_json(f"{API}/images?build={build_number}&page=0&filter_clade={node}"
+                               f"&filter_license_nc=false&filter_license_sa=false&embed_items=true")
+            candidates += [(candidate(item), False) for item in (listing or {}).get("_embedded", {}).get("items") or []]
+            usable = [(shape_score(found) - (PRIMARY_BONUS if is_primary else 0), found, is_primary)
+                      for found, is_primary in candidates if found and is_free(found["license"])]
+            nodes[node] = ""
+            if usable:
+                _, best, is_primary = min(usable, key=lambda entry: entry[0])
+                nodes[node] = best["uuid"]
+                shapes[best["uuid"]] = best["ratio"]
+                counts["primary_image" if is_primary else "clade_fallback"] += 1
+            time.sleep(pause)
+        image = nodes[node]
+        if not image:
+            counts["no_free_image"] += 1
+            continue
+        assignments[taxid] = image
+        counts["assigned"] += 1
+        if position % 100 == 0:
+            print(f"  {position:,}/{len(taxa):,} · {len(set(assignments.values())):,} distinct icons", flush=True)
+        time.sleep(pause)
+
+    icon_dir = Path(icon_dir)
+    icon_dir.mkdir(parents=True, exist_ok=True)
+    keep = set()
+    for image in sorted(set(assignments.values())):
+        detail = get_json(f"{API}/images/{image}?build={build_number}")
+        links = (detail or {}).get("_links", {})
+        vector = links.get("vectorFile", {}).get("href")
+        if not vector:
+            counts["no_vector"] += 1
+            continue
+        target = icon_dir / f"{image}.svg"
+        if not target.exists():
+            body = get(vector, headers={"User-Agent": HEADERS["User-Agent"]})
+            if not body:
+                counts["download_failed"] += 1
+                continue
+            target.write_bytes(body)
+            time.sleep(pause)
+        keep.add(image)
+        images[image] = {"license": links.get("license", {}).get("href"),
+                         "attribution": detail.get("attribution"),
+                         "contributor": links.get("contributor", {}).get("title"),
+                         "page": f"https://www.phylopic.org/images/{image}",
+                         "ratio": round(shapes.get(image, 1.0), 3),
+                         "bytes": target.stat().st_size}
+    assignments = {t: i for t, i in assignments.items() if i in keep}
+    for stale in icon_dir.glob("*.svg"):
+        if stale.stem not in keep:
+            stale.unlink()
+            counts["removed"] += 1
+
+    licenses = Counter(meta["license"] for meta in images.values())
+    unfree = sorted(license for license in licenses if not is_free(license))
+    if unfree:
+        raise ValueError(f"Image with unusable licence slipped through: {unfree}")
+    payload = {"source": "https://www.phylopic.org", "build": build_number,
+               "api": f"{API}/resolve/ncbi.nlm.nih.gov/taxid/{{taxid}} then /images?filter_clade=…"
+                      "&filter_license_nc=false&filter_license_sa=false",
+               "note": "Silhouettes are stored exactly as PhyloPic serves them, unmodified.",
+               "minimum_assemblies": minimum,
+               "counts": dict(counts, distinct_icons=len(images), bytes=sum(m["bytes"] for m in images.values())),
+               "licenses": dict(licenses),
+               "images": dict(sorted(images.items())),
+               "taxa": {str(t): assignments[t] for t in sorted(assignments)}}
+    Path(output).write_text(json.dumps(payload, indent=1))
+    print(json.dumps({"counts": payload["counts"], "licenses": payload["licenses"]}, indent=2))
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--database", type=Path, default=ROOT / "data/taxonomy.sqlite")
+    parser.add_argument("--icon-dir", type=Path, default=ROOT / "data/icons")
+    parser.add_argument("--output", type=Path, default=ROOT / "data/icons.json")
+    parser.add_argument("--minimum", type=int, default=MIN_ASSEMBLIES)
+    args = parser.parse_args()
+    build(args.database, args.icon_dir, args.output, args.minimum)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/taxonomy.py b/taxonomy.py
index 78574d54b4324c8b0bd56b01f7aa5f66181dcbcb..45e99533339e8b1954fdbff52a894f781c094ce9 100644
--- a/taxonomy.py
+++ b/taxonomy.py
@@ -1,5 +1,7 @@
 """Read-only taxonomy navigation, independent of the annotation lookup index."""
+from collections import Counter
 from contextlib import closing
+import math
 from html import escape
 import json
 from pathlib import Path
@@ -10,6 +12,14 @@ import gradio as gr
 ROOT = Path(__file__).resolve().parent
 DATABASE = ROOT / "data/taxonomy.sqlite"
 COMMON_NAMES = ROOT / "data/common_names.json"
+ICONS = ROOT / "data/icons.json"
+ICON_DIR = ROOT / "data/icons"
+# Gradio serves whitelisted files from this route; see build_taxonomy_tab.
+ICON_ROUTE = "/gradio_api/file="
+LICENSE_NAMES = {"https://creativecommons.org/publicdomain/zero/1.0/": "CC0 1.0",
+                 "https://creativecommons.org/licenses/by/4.0/": "CC BY 4.0",
+                 "https://creativecommons.org/licenses/by/3.0/": "CC BY 3.0",
+                 "https://creativecommons.org/publicdomain/mark/1.0/": "Public Domain Mark 1.0"}
 EUKARYOTA = 2759
 EUK_TREE = """WITH RECURSIVE euk(taxid) AS (
     SELECT 2759 UNION ALL
@@ -33,13 +43,21 @@ def encode_path(steps):
 
 
 class Taxonomy:
-    def __init__(self, path=DATABASE, common_names=COMMON_NAMES):
+    def __init__(self, path=DATABASE, common_names=COMMON_NAMES, icons=ICONS):
         self.path = Path(path)
         self.english, self.english_sources = {}, {}
         if Path(common_names).exists():
             payload = json.loads(Path(common_names).read_text())
             self.english = {int(t): name for t, name in payload["names"].items()}
             self.english_sources = payload.get("sources", {})
+        self.icons, self.icon_credits, self.icon_meta = {}, {}, {}
+        if Path(icons).exists():
+            payload = json.loads(Path(icons).read_text())
+            self.icon_meta = {k: v for k, v in payload.items() if k not in ("images", "taxa")}
+            self.icon_credits = payload.get("images", {})
+            self.icons = {int(t): image for t, image in payload.get("taxa", {}).items()
+                          if (ICON_DIR / f"{image}.svg").exists()}
+        self._inherited_icons = {}
         with closing(self.connect()) as conn:
             self.metadata = json.loads(conn.execute("SELECT value FROM metadata").fetchone()[0])
             self.eukaryote_ids = frozenset(r[0] for r in conn.execute(EUK_TREE + "SELECT taxid FROM euk"))
@@ -63,6 +81,29 @@ class Taxonomy:
                 rows = conn.execute(EUK_TREE + "SELECT taxa.* FROM taxa JOIN euk USING(taxid) WHERE name LIKE ? ESCAPE '\\' ORDER BY total_count DESC LIMIT 100", (pattern,)).fetchall()
         return [(f"{r['name']} · {r['total_count']:,} assemblies · taxid {r['taxid']}", str(r['taxid'])) for r in rows]
 
+    def icon_for(self, conn, taxid):
+        """Nearest icon at or above this taxon, following the lineage to Eukaryota.
+
+        Returns the image and whether it belongs to this taxon or was borrowed.
+        """
+        if taxid in self.icons:
+            return self.icons[taxid], False
+        if taxid in self._inherited_icons:
+            return self._inherited_icons[taxid], True
+        walked, current = [], taxid
+        for _ in range(MAX_DEPTH):
+            row = conn.execute("SELECT parent_id FROM taxa WHERE taxid=?", (current,)).fetchone()
+            if row is None or row['parent_id'] == current:
+                break
+            walked.append(current)
+            current = row['parent_id']
+            if current in self.icons or current in self._inherited_icons:
+                break
+        found = self.icons.get(current) or self._inherited_icons.get(current, "")
+        for step in walked:
+            self._inherited_icons[step] = found
+        return found, True
+
     def lineage(self, conn, taxid):
         rows = [dict(conn.execute("SELECT * FROM taxa WHERE taxid=?", (taxid,)).fetchone())]
         while rows[-1]['taxid'] != EUKARYOTA:
@@ -96,11 +137,12 @@ class Taxonomy:
             def node(row, offset=0, **extra):
                 return dict(taxid=row['taxid'], offset=offset, name=row['name'], label=row['name'],
                             english=self.english.get(row['taxid'], ""),
+                            **dict(zip(("icon", "borrowed_icon"), self.icon_for(conn, row['taxid']))),
                             total=row['total_count'], covered=row.get('covered_total', 0), **extra)
 
             def remainder(rows, parent, start):
                 return dict(taxid=parent, offset=start, name=f"Other lineages · {len(rows):,} groups (display aggregate)",
-                            label=f"Other lineages ({len(rows):,})", english="", total=sum(r['total_count'] for r in rows),
+                            label=f"Other lineages ({len(rows):,})", english="", icon="", borrowed_icon=False, total=sum(r['total_count'] for r in rows),
                             covered=sum(r.get('covered_total', 0) for r in rows), aggregate=True)
 
             def column(step, selected):
@@ -118,7 +160,7 @@ class Taxonomy:
                 row = taxon(parent)
                 if not offset and row['direct_count'] and rows:
                     nodes.append(dict(taxid=parent, offset=0, name="Assemblies assigned directly to this taxon",
-                                      label="Direct assignments", english="", total=row['direct_count'],
+                                      label="Direct assignments", english="", icon="", borrowed_icon=False, total=row['direct_count'],
                                       covered=row.get('covered_direct', 0), direct=True))
                 return nodes
 
@@ -143,7 +185,11 @@ class Taxonomy:
         return self.render(columns, steps, lineage, shortcuts, has_children=bool(tail))
 
     def render(self, columns, steps, lineage, shortcuts, has_children):
-        top, chart, spacing, bar = 24, 460, 250, 14
+        top, chart, spacing, bar = 24, 460, 274, 14
+        # Silhouettes are not square: they run from tall and thin to long and
+        # flat. Fitting them all into one box turns most into slivers, so each
+        # gets its own box with the same area and its own proportions.
+        icon_area, icon_max, gutter = 23 * 23, 40, 46
         width = max(830, 40 + (len(columns) - 1) * spacing + bar + 250)
         height = top * 2 + chart
 
@@ -204,7 +250,10 @@ class Taxonomy:
 
         for depth, column in enumerate(columns):
             on_path = depth < len(steps)
+            shown = Counter(n['icon'] for n in column if n['icon'])
             for n in column:
+                if n['borrowed_icon'] and shown[n['icon']] > 1:
+                    n['icon'] = ""  # identical borrowed outlines read as "same group"
                 x, y, h = n['x'], n['y'], n['h']
                 f = share(n)
                 percent = 100 * f
@@ -229,7 +278,17 @@ class Taxonomy:
                 nodes.append(f'<rect x="{x}" y="{y:.1f}" width="{bar}" height="{h:.1f}" class="bar-outline"/>')
                 label, english = clip(n['label'], MAX_LABEL), clip(n['english'], MAX_ENGLISH)
                 stats = f"{percent:.1f}% · {n['covered']:,} / {n['total']:,}" if self.coverage else f"{n['total']:,} assemblies"
-                text_x = x + bar + 8
+                # The gutter is reserved whether or not this node has a silhouette, so
+                # labels stay aligned down the column.
+                if n['icon']:
+                    ratio = self.icon_credits.get(n['icon'], {}).get('ratio') or 1.0
+                    icon_h = min(icon_max, max(6, math.sqrt(icon_area / ratio)))
+                    icon_w = min(icon_max, max(6, icon_h * ratio))
+                    icon_h = min(icon_max, max(6, icon_w / ratio))
+                    nodes.append(f'<image class="tree-icon" x="{x + bar + 8 + (gutter - 12 - icon_w) / 2:.1f}" y="{cy - icon_h / 2:.1f}" '
+                                 f'width="{icon_w:.1f}" height="{icon_h:.1f}" '
+                                 f'href="{ICON_ROUTE}{ICON_DIR / (n["icon"] + ".svg")}"/>')
+                text_x = x + bar + 8 + gutter
                 # Three lines when there is an English gloss, two without, both centred on the bar.
                 head, stat_line = (cy - 10, cy + 16) if english else (cy - 3, cy + 13)
                 nodes.append(f'<text x="{text_x}" y="{head:.1f}" class="tree-label">{escape(label)}</text>')
@@ -285,12 +344,34 @@ class Taxonomy:
         </section>'''
 
 
+def credit_lines(taxonomy):
+    """One line per artist, as CC BY asks, with the licences their images carry."""
+    artists = {}
+    for image in set(taxonomy.icons.values()):
+        meta = taxonomy.icon_credits.get(image, {})
+        name = meta.get("attribution") or meta.get("contributor") or "Unknown artist"
+        entry = artists.setdefault(name, {"licenses": set(), "pages": []})
+        entry["licenses"].add(LICENSE_NAMES.get(meta.get("license"), meta.get("license") or "unknown licence"))
+        entry["pages"].append(meta.get("page"))
+    lines = []
+    for name in sorted(artists, key=str.casefold):
+        entry = artists[name]
+        count = len(entry["pages"])
+        lines.append(f"- [{name}]({entry['pages'][0]}) — {', '.join(sorted(entry['licenses']))}"
+                     f"{f' — {count} silhouettes' if count > 1 else ''}")
+    return lines
+
+
 def build_taxonomy_tab():
     """Render the tree and its controls inside the Genome atlas tab."""
     if not DATABASE.exists():
         gr.Markdown("The eukaryotic tree will appear when the taxonomy snapshot is available.")
         return
     taxonomy = Taxonomy()
+    if taxonomy.icons:
+        # The chart references each silhouette by URL, so the browser caches it
+        # once instead of the file riding along in every re-render.
+        gr.set_static_paths(paths=[ICON_DIR])
     tree = gr.HTML(taxonomy.view(), css_template=(ROOT / "atlas.css").read_text(),
                    js_on_load=(ROOT / "atlas.js").read_text(), apply_default_css=False,
                    elem_id="eukaryotic-atlas")
@@ -319,6 +400,11 @@ def build_taxonomy_tab():
         matches.input(taxonomy_view, matches, tree)
         find.click(taxonomy_search, query, [matches, status])
         query.submit(taxonomy_search, query, [matches, status])
+    if taxonomy.icons:
+        with gr.Accordion("Silhouette credits", open=False, elem_classes="atlas-disclosure"):
+            gr.Markdown("\n".join(["Silhouettes from [PhyloPic](https://www.phylopic.org), used unmodified. "
+                                   "Public-domain images need no credit; the CC BY ones do, and every artist is listed here. "
+                                   "`data/icons.json` maps each taxon to its image.", ""] + credit_lines(taxonomy)))
     with gr.Accordion("About the tree and coverage", open=False, elem_classes="atlas-disclosure"):
         gr.Markdown("This tree follows **NCBI Taxonomy within Eukaryota**. Animals and fungi share the Opisthokonta branch; "
                     "green plants include green algae. ‘Other lineages’ combines the remaining siblings for display and can be expanded. "
@@ -335,8 +421,14 @@ def build_taxonomy_tab():
                     "Sources: [NCBI assembly summary](https://ftp.ncbi.nlm.nih.gov/genomes/ASSEMBLY_REPORTS/assembly_summary_genbank.txt), "
                     "[NCBI Taxonomy](https://ftp.ncbi.nlm.nih.gov/pub/taxonomy/taxdump.tar.gz) for both the tree and its common names, "
                     "and [published annotations](https://huggingface.co/buckets/HuggingFaceBio/genbank-annotations).")
+        if taxonomy.icons:
+            gr.Markdown("Silhouettes come from [PhyloPic](https://www.phylopic.org), resolved from each taxon's NCBI ID and "
+                        "stored unmodified. Only public-domain (CC0) and CC BY 4.0 images are used; NonCommercial and "
+                        "ShareAlike images are filtered out at build time. A group without a silhouette of its own borrows "
+                        "its nearest illustrated ancestor, so a fungal genus shows the fungal outline.")
         coverage = taxonomy.coverage or {}
         gr.JSON({"taxonomy_updated": taxonomy.metadata['created_at'], "coverage_updated": coverage.get('created_at'),
+                 "silhouettes": taxonomy.icon_meta or None,
                  "display_scope": "Eukaryota (NCBI taxid 2759) and its descendants only",
                  "inventory_method": coverage.get('method'),
                  "published_versions_outside_current_GenBank_snapshot": coverage.get('unmatched_assembly_versions'),
diff --git a/tests/test_taxonomy.py b/tests/test_taxonomy.py
index dd9ededd42d05d15f9bde34b3f927cdbf7732fda..17f2d29ccd89127f107e79133734a054e150b6e8 100644
--- a/tests/test_taxonomy.py
+++ b/tests/test_taxonomy.py
@@ -4,7 +4,7 @@ import sqlite3
 import unittest
 
 from refresh_common_names import CURATED
-from taxonomy import COMMON_NAMES, DATABASE, DEFAULT_PATH, MAX_ENGLISH, Taxonomy
+from taxonomy import COMMON_NAMES, DATABASE, DEFAULT_PATH, ICON_DIR, ICONS, MAX_ENGLISH, Taxonomy
 
 
 @unittest.skipUnless(DATABASE.exists(), "taxonomy snapshot unavailable")
@@ -64,6 +64,67 @@ class TaxonomyTests(unittest.TestCase):
         self.assertEqual({int(t) for t in names} & set(CURATED), set(CURATED) - redundant)
         self.assertEqual(names["6040"], "sponges")  # straight from NCBI Taxonomy
 
+    def test_icons_are_free_to_use_and_present(self):
+        if not ICONS.exists():
+            self.skipTest("silhouettes unavailable")
+        payload = json.loads(ICONS.read_text())
+        self.assertTrue(payload["images"])
+        for image, meta in payload["images"].items():
+            # NonCommercial is legally murky for a company-run Space and ShareAlike
+            # would reach into the repository; refresh_icons.py filters both out.
+            self.assertNotIn("-nc", meta["license"], image)
+            self.assertNotIn("-sa", meta["license"], image)
+            self.assertTrue((ICON_DIR / f"{image}.svg").is_file(), image)
+        for taxid, image in payload["taxa"].items():
+            self.assertIn(image, payload["images"], taxid)
+
+    def test_small_groups_inherit_an_ancestor_icon(self):
+        if not self.taxonomy.icons:
+            self.skipTest("silhouettes unavailable")
+        with sqlite3.connect(f"{DATABASE.resolve().as_uri()}?mode=ro", uri=True) as conn:
+            conn.row_factory = sqlite3.Row
+            own, borrowed = self.taxonomy.icon_for(conn, 2759)
+            self.assertTrue(own)
+            self.assertFalse(borrowed)
+            # A taxon with no icon of its own still resolves, through its lineage.
+            uncovered = next(r['taxid'] for r in conn.execute(
+                "SELECT taxid FROM taxa WHERE total_count=1 ORDER BY taxid")
+                if r['taxid'] in self.taxonomy.eukaryote_ids and r['taxid'] not in self.taxonomy.icons)
+            image, borrowed = self.taxonomy.icon_for(conn, uncovered)
+            self.assertTrue(image)
+            self.assertTrue(borrowed)
+            self.assertTrue((ICON_DIR / f"{image}.svg").is_file())
+
+    def test_borrowed_icons_never_repeat_within_a_column(self):
+        if not self.taxonomy.icons:
+            self.skipTest("silhouettes unavailable")
+        for path in ("2759", DEFAULT_PATH, "2759/33154/33208", "2759/33154/33208/6072/33213"):
+            html = self.taxonomy.view(path)
+            # Columns are laid out left to right, so group the icons by their x.
+            drawn = re.findall(r'<image class="tree-icon" x="([\d.]+)"[^>]*?/data/icons/([0-9a-f-]+)\.svg"', html)
+            columns = {}
+            for x, image in drawn:
+                columns.setdefault(round(float(x)), []).append(image)
+            for x, images in columns.items():
+                self.assertEqual(len(images), len(set(images)), f"{path} column at {x}")
+
+    def test_chart_references_icons_by_url(self):
+        if not self.taxonomy.icons:
+            self.skipTest("silhouettes unavailable")
+        html = self.taxonomy.view(DEFAULT_PATH)
+        self.assertIn('class="tree-icon"', html)
+        for image in re.findall(r'href="[^"]*/data/icons/([0-9a-f-]+)\.svg"', html):
+            self.assertIn(image, self.taxonomy.icon_credits)
+
+    def test_viewbox_spans_the_whole_chart(self):
+        # A stray local named width or height inside the node loop once shrank the
+        # viewBox to 23x23, which renders as a blank chart with every element intact.
+        for path in ("2759", DEFAULT_PATH, "2759/33154/33208"):
+            box = re.search(r'<svg viewBox="0 0 ([\d.]+) ([\d.]+)"', self.taxonomy.view(path))
+            self.assertIsNotNone(box, path)
+            self.assertGreater(float(box.group(1)), 500, path)
+            self.assertGreater(float(box.group(2)), 400, path)
+
     def test_rejects_paths_outside_the_tree(self):
         for path in ("1", "33208", "2759/33208", "2759/2759~3", "2759/9606", "abc"):
             with self.assertRaises(ValueError, msg=path):