diff --git a/FEATURE_BACKLOG.md b/FEATURE_BACKLOG.md
index 8de4cb48e5d600b422abc7ca03c364c5c4128cec..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}` with `Accept: application/vnd.phylopic.v2+json` returns the node, whose uuid then feeds `GET /images?filter_clade={uuid}&filter_license_nc=false&filter_license_sa=false&page=0`. The SVG is at `_links.vectorFile.href` on the image. Those two filters matter: the node's own `primaryImage` is sometimes CC BY-NC-SA, which is both legally murky for a company-run Space and viral once an icon is recoloured to match the palette. Filtering them out still leaves a CC0 or CC BY 4.0 silhouette for every group the atlas shows, checked across eukaryotes, animals, fungi, plants, Eumetazoa, Porifera, Bilateria, Ecdysozoa, arthropods, mammals, birds, Amoebozoa and Discoba. CC BY needs a per-icon credit line, so carry `attribution` and the licence URL alongside each file. Fetch the SVGs once into the repo rather than hot-linking, 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
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+  "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",
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+   "bytes": 1966
+  },
+  "030163a0-eddc-4bf3-aac2-5e7594124820": {
+   "license": "https://creativecommons.org/licenses/by/4.0/",
+   "attribution": "Bob Nicholls (original illustration)",
+   "contributor": "T. Michael Keesey",
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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):