Results

What we found — and what we didn't

CxnA is a two-domain enzyme: Cex (an exoglucanase) and CenA (an endoglucanase), fused together. We used error-prone PCR to scramble its DNA at random, then screened the resulting mutants to see whether any of them had picked up a useful new or improved activity. Computational predictions guided where we looked; the mutagenesis itself was random. No mutant clearly beat the unmodified enzyme — but the screening pipeline we built to find out is itself the result, and it's reusable for the next round.

Results status summary

Dry Lab

Predicted Structure prediction & validation (both domains)
Predicted Cex cellobiose-docking study
Predicted Mutation-candidate screening, Cex & CenA

Wet Lab

Confirmed Liquid cellobiose growth selection tested, found too weak to use
Confirmed Cloning, library generation, sequencing
Confirmed Congo red + X-gluc screens (30 mutants)
Confirmed Quantitative MUC assay, validated & applied
No improvement confirmed No mutant beat wild type past the noise floor

Computational results

Dry Lab — where should directed evolution even look?

Before touching a single bacterium, we used structure prediction and docking software to make an educated guess at which parts of CxnA were worth targeting — and, just as importantly, which predictions we should and shouldn't trust.

DL-R1

What does CxnA actually look like?

Predicted Methods: DL-1

CxnA has no solved crystal structure of its own, so we predicted one with ColabFold/AlphaFold2 — colouring the result by domain: Cex (exoglucanase, green), the carbohydrate-binding module that holds the two halves together (blue), and CenA (endoglucanase, pink), joined by flexible proline/threonine-rich linkers.

High confidence, within limits
pLDDT 89.3 (Cex) · 93.5 (CenA)
Both domains individually fold with high confidence. The catch: the model's global pTM is only 0.5, and the mean predicted alignment error between the two domains is 26.6 Å — the linkers are floppy enough in real life that AlphaFold can't pin down how the two domains sit relative to each other. We trust the shape of each domain on its own, not the overall "pose" of the whole fusion protein.
Why does a flexible linker make the overall shape unreliable?

AlphaFold predicts confidence per residue (pLDDT) and per residue-pair (predicted alignment error, PAE). A folded domain's internal geometry is usually well constrained — there's only one way the chain can pack into a stable fold — so pLDDT is high throughout it. A flexible linker has no single correct conformation; it can be in many different positions at different moments, so the model can't confidently place the two domains it connects relative to each other, even if it's very confident about each domain individually. This is expected biology, not a modelling failure — treat the two domains as independently reliable, and the relative orientation between them as unknown.

DL-R2

Checking Cex's active site against a real crystal structure

Completed (computational) Methods: DL-2

Unlike the fusion as a whole, Cex alone has a published crystal structure to check against: 1FHD, a Cex-family enzyme solved with a bound inhibitor [2]. We superimposed our predicted Cex structure onto it to see how well the model's active site matches reality.

Key Result
RMSD = 0.293 Å
PyMOL align (iterative outlier rejection) over 1,958 matched atoms against the 1FHD crystal structure — the converged, best-fitting core rather than a pure Cα figure (1,958 exceeds this domain's actual Cα count). A separate, full-domain Cα-only superposition, run live in the interactive viewer below, gives 0.579 Å over 311 pairs; the two numbers measure different things and aren't directly comparable to each other, or to the crystallographers' own crystal-form comparison, which used yet another alignment definition. Either way, the active-site geometry, including the catalytic residues GLU127 and GLU233, is reproduced faithfully.

Interactive 3D overlay: predicted Cex structure (teal) superimposed on the 1FHD crystal structure (orange) — Cα RMSD 0.579 Å over 311 matched pairs in this particular alignment run. Yellow spheres mark GLN87, GLU127 and GLU233. Drag to rotate; use the toggle buttons to view each structure independently.

Why this step matters

Every docking result later in this page depends on the predicted structure being trustworthy. This validation is what lets us treat the Cex model as a stand-in for the real enzyme when testing how it interacts with sugars computationally.

DL-R3

Does Cex already have a little latent β-glucosidase activity — and where would you nudge it?

Predicted Methods: DL-3, DL-4, DL-5

Cex's fold resembles known β-glucosidase enzymes closely enough that we asked a direct question: can cellobiose — the two-sugar fragment a true β-glucosidase would split into glucose — fit into Cex's existing active site at all? We docked cellobiose into the validated Cex model with AutoDock Vina and analysed the predicted contacts with PLIP.

Top docking pose
Sits right next to the existing catalytic residues
The best-scoring pose places cellobiose in hydrogen-bonding distance of GLU127 and GLU233 — the same two residues Cex already uses to cut its natural substrate. That's consistent with the idea that Cex could be nudged toward glucosidase-like chemistry without needing a whole new active site built from scratch.

Multiple-sequence alignment against 15 homologous GH10 enzymes, cross-checked with ConSurf conservation scoring, confirmed that the catalytic motifs around GLU127 (an unusual "NEA" variant of the normal "NEP" motif) and GLU233 (the "ITELD" motif) are essentially universal across the family — strong evidence that both residues are functionally essential, not incidental.

Cex structure coloured by evolutionary conservation (ConSurf), with the NEA and TELD catalytic motifs boxed in green

Cex coloured by ConSurf conservation (red = most conserved). The NEA and TELD boxes mark the two catalytic motifs — both are deep red, i.e. essentially invariant across 15 homologous enzymes.

Where would you aim mutagenesis, if you were targeting it?

HotSpot Wizard flagged candidate residues near the active site that are mutable without obviously destroying the protein's fold. Those candidates were then screened computationally with FoldX (for stability) and re-docked with cellobiose (for binding). The most stabilising candidate to emerge was Asn44 → Trp (ΔΔG −3.2 kcal/mol, i.e. predicted more stable than wild type). Stability is not activity, so this ranks candidates by tolerability rather than by predicted gain in function.

Full ranked list of computational candidates (top 10 by predicted stability)
RankMutationΔΔG (kcal/mol)
1N44W−3.215
2E43R−2.177
3S86R−1.864
4N44Y−1.788
5N44F−1.719
6E43L−0.797
7T81G−0.783
8K47R−0.745
9E43M−0.684
10S86D−0.637

Negative ΔΔG = predicted more stable than wild type. Full ranked list of 25 candidates and per-mutation docking scores available in the project's supplementary data. See the 25 June lab notebook entry for the full FoldX and re-docking workflow.

DL-R4

CenA, the other half: where could the existing activity be improved?

Predicted Methods: DL-3, DL-4, DL-5

CenA (the endoglucanase half of CxnA, family GH6) already works — the Project B goal isn't to invent a new activity but to make an existing one better. We docked cellotetraose (a four-sugar cellulose fragment) into CenA's active site and confirmed contacts with four catalytic aspartates: Asp595 (a stabiliser that fine-tunes the pKa environment around the catalytic acid, not itself required for catalysis), Asp631 (acid catalyst), Asp666 (a secondary, pKa-adjusting partner to Asp631), and Asp771 (base catalyst).

CenA structure coloured by evolutionary conservation (ConSurf)

CenA coloured by ConSurf conservation across 41 homologous GH6 sequences (magenta = most conserved, teal = most variable). 13 of the 27 residues contacting the docked substrate are fully conserved — a strong signal of functional importance.

As with Cex, candidate mutations were screened by combining FoldX stability predictions with re-docking scores — this time checking both metrics together, plus whether the catalytic geometry held up across repeated modelling runs.

Best overall candidate
K671S
Lysine 671 → serine showed the largest improvement in predicted substrate binding (ΔVina score −0.85 kcal/mol better than wild type) while passing the catalytic geometry check in every modelled run.
Full CenA mutation screen (stability + docking + geometry check)
MutationΔΔG (kcal/mol)Mean Vina scoreΔVina scoreCatalytic geometry
WT0.00−7.83referencePass
T697V−1.75−7.46+0.37Partial
T583I−1.52−8.12−0.29Pass
T583V−1.24−7.52+0.31Pass
S520G−0.98−7.830.00Partial
S598Q−0.36−8.18−0.35Pass
S598N−0.07−8.09−0.26Pass
K671A0.22−8.10−0.26Pass
K671G0.27−8.00−0.16Partial
K671S0.30−8.68−0.85Pass
Q635M0.38−7.44+0.39Pass

ΔΔG: FoldX-predicted stability change (negative = more stable). Vina score: predicted binding free energy with cellotetraose (more negative = tighter predicted binding). K671S has a slightly destabilising ΔΔG but the best binding improvement of any candidate that keeps correct catalytic geometry — a stability/activity trade-off, not a free win.

DL-R5

An important honesty note: prediction guided priorities, it didn't dictate the mutants

Context

Read this before the wet-lab results

N44W and K671S are the dry lab's top computational candidates — but the actual wet-lab mutant library wasn't built by inserting those specific changes. It was built with error-prone PCR, which introduces mutations randomly across the gene. The computational work told us the Cex and CenA active sites were worth targeting and gave us a reference point for interpreting what random mutagenesis turned up — it didn't guarantee any particular mutation would actually appear in the library. Keep that distinction in mind in the section below: none of the sequenced wet-lab mutants carry N44W or K671S.

Experimental results

Wet Lab — building and screening real mutants

Three screens, run in sequence, each narrowing down which of the random mutants were worth a closer look: a visual test for endoglucanase activity, a colour test for glucosidase activity, and finally a quantitative fluorescence assay we had to build and validate from scratch.

WL-R0

Before the library: a growth-based selection, tried and set aside

Confirmed Methods: WL-0

Before building and screening a random mutant library, we first asked whether growth on cellobiose as the sole carbon source could select for improved β-glucosidase-like activity directly — pool a library, grow it on cellobiose over repeated rounds, and let only the active variants multiply, without screening any colonies by hand. E. coli expressing wild-type CxnA was compared against the same strain expressing a secreted β-glucosidase as a positive control, each grown in parallel on glucose (a fitness control) and on cellobiose (the actual test).

Three-panel chart: OD600 at 24 hours on glucose versus cellobiose for CxnA and a beta-glucosidase control, viable colony counts under the same conditions, and cumulative enrichment over rounds of liquid selection

(A) OD₆₀₀ at 24 h. The two strains are indistinguishable on glucose (1.82 vs 1.87), ruling out a general fitness difference. On cellobiose, the β-glucosidase control reaches 0.53 against 0.23 for CxnA — the latter close to the casamino-acid-only background, confirming CxnA itself doesn't support growth on cellobiose. (B) Viable counts by serial dilution plating tell the same story independently. (C) Cumulative enrichment over repeated rounds of liquid selection, against the roughly 10,000-fold enrichment a rare variant would need to become recoverable.

Why this wasn't used as the primary selection
≈12 rounds needed — too slow, too destructive
The assay does discriminate real activity from none: wild-type CxnA and the β-glucosidase control are only distinguishable on cellobiose, not on glucose, which is exactly what a working selection should show. The problem is the size of the gap. The 1.2-doubling difference between the two strains on cellobiose works out to only about 2.2-fold enrichment per 24-hour round (an independent estimate from colony counts gives a similar 1.8-fold). Taking a rare variant from roughly one-in-a-million to a recoverable one-in-a-hundred needs about 10,000-fold enrichment in total — around 12 rounds at this rate. Each of those rounds requires a serial-dilution bottleneck that would itself erode library diversity well before 12 rounds were reached, almost certainly losing rare variants faster than the selection could enrich them. We used this result to reject liquid cellobiose selection as the primary method and screened colonies individually instead (WL-R3 onward).
WL-R1

The plasmid, and an uninvited stowaway

Confirmed Methods: WL-1, WL-2

CxnA was carried on a pSB1C3 plasmid backbone with a lac promoter and ribosome binding site ahead of the insert. Transforming E. coli with this construct retained both exo- and endo-glucanase activity, confirming the starting enzyme was functional before any mutagenesis began.

Plasmid map of the CxnA construct, showing the Cex (GH10) and CenA (GH6) domains, restriction sites, and the duplicated chloramphenicol-resistance region

Plasmid map of the CxnA construct. CxnA itself is only two domains — Cex (exoglucanase) and CenA (endoglucanase) — joined through a carbohydrate-binding module (CBM). The duplicated chloramphenicol-resistance region on the right was an unplanned discovery (below).

Unplanned finding
An extra ~1 kb of DNA in the backbone
Gel electrophoresis and sequencing turned up an insert in the backbone that wasn't supposed to be there. A BLASTp search against the translated sequence suggested it may be a duplicated chloramphenicol-resistance pseudogene; confirming its identity would need further sequencing. It doesn't appear to have blocked cloning or expression, but its effect on plasmid stability wasn't formally tested.
WL-R2

Building the mutant library — smaller than planned

Confirmed Methods: WL-3

Error-prone PCR (epPCR) was applied only to the CxnA insert, using manganese chloride to deliberately lower the copying polymerase's accuracy — the backbone, promoter and ribosome binding site were amplified separately with a high-fidelity polymerase so mutations wouldn't land somewhere that would confound the activity readout. We ran this on two versions of the gene in parallel: the native sequence, and a codon-optimised version ordered as synthetic DNA blocks (to work around the gene's unusually high, amplification-hostile GC content — 71%).

Honest limitation
24 (codon-optimised) and 15 (native) colonies
Both libraries came out markedly smaller than planned — the GC content made PCR temperamental, and several technical issues (inconsistent mixing, an unexpectedly-migrating linearised plasmid control) slowed troubleshooting. A small library means fewer chances for a rare beneficial mutation to be sampled at all; this is the single biggest constraint on everything that follows.

24 codon-optimised and 15 native-sequence colonies were recovered. Fifteen of the 24 codon-optimised colonies were picked forward, giving the 30 mutants screened below.

WL-R3

Screen 1 — Congo red: did endoglucanase activity survive?

Confirmed Methods: WL-4

Congo red dye binds intact cellulose (here, the related polymer CMC) but washes off wherever an active endoglucanase has chewed it up — so a colony with working CenA activity shows up as a clear halo on a red background. This was run first, as a cheap way to immediately discard any mutant that had simply broken the protein.

Congo red assay plates for codon-optimised and native CxnA mutant colonies, showing clearing halos around most colonies

Congo red screen. (A) All 15 codon-optimised mutants, numbered. (B) All 15 native-sequence mutants (only 15 total colonies were available in that library). A clear halo = endoglucanase activity retained.

Result
7 of 15 native, 15 of 15 codon-optimised retained a halo
All 15 codon-optimised mutants showed some clearing, at varying sizes. Of the native mutants, colony 4 (T4) had the largest halo (closest to wild type); colonies 12, 14 and 15 showed no clearing at all — a likely sign that their mutation broke the protein outright, not a subtle activity change. Three of these four — T4, T14 and T15 — were carried through to the quantitative assay and on to sequencing; native colony 12 was excluded at that stage for plate-capacity reasons (see below) and was not sequenced.
WL-R4

Screen 2 — X-gluc: any sign of new glucosidase activity?

Confirmed Methods: WL-5

X-gluc is a colourless compound that turns a colony visibly blue if the cell is producing β-glucosidase-like activity. Every mutant from both libraries — 30 colonies total — was screened this way in parallel with Congo red, alongside controls: a known β-glucosidase (positive control), wild-type CxnA, and a non-functional His-tagged CxnA (negative control).

Control plates for the Congo red (left) and X-gluc (right) screens, comparing a known beta-glucosidase, wild-type CxnA, and a non-functional His-tagged CxnA

Controls for both screens. Left: Congo red. Right: X-gluc — note that wild-type CxnA (top right spot) already shows a faint blue tint, not just the positive-control β-glucosidase (bottom left).

X-gluc assay plates for codon-optimised and native CxnA mutant colonies

X-gluc screen on all 30 mutants. (A) codon-optimised. (B) native sequence.

Unexpected background signal
Wild-type CxnA already shows faint baseline activity
His-tagged CxnA, which produces no functional protein, stained as deeply as wild-type CxnA. The faint blue common to both therefore reflects background β-glucosidase-like activity in the host, not activity of CxnA — so this control does not support the dry-lab prediction in DL-R3, and mutants were scored against the host baseline rather than against the His-CxnA control. No mutant approached the positive control. Several colonies (native 4, 14, 15; codon-optimised 2, 4, 7, 12) were darker than that host baseline and were flagged for sequencing and quantitative follow-up.
WL-R5

Screen 3 — putting a number on it: the MUC fluorescence assay

Confirmed Methods: WL-6 · Full troubleshooting: Lab Notebook, Aug–Sep

Congo red and X-gluc are useful for sorting mutants into rough buckets, but neither gives a number you can actually compare between colonies. To measure exoglucanase activity precisely, we used MUC — a substrate that releases a fluorescent molecule (4-MU) in proportion to how much active enzyme is present. Getting trustworthy numbers out of this assay took six rounds of calibration (the full story — including a substrate mix-up that briefly looked like a real signal — is in the lab notebook); the validated version is summarised below.

Four-panel chart establishing the MUC fluorescence assay: calibration curve, volume-dependence artefact, enzyme-titration linearity, and background controls

Establishing a trustworthy assay. (A) Fluorescence is only proportional to 4-MU concentration below 6.25 µM — above that, the reading undershoots for optical reasons, not biology, so all rates were fit only within the reliable range. (B) Adding more lysate gave progressively less signal per microlitre — a volume artefact, not reduced activity. (C) Fixed by titrating active lysate against inactive (frameshift) lysate instead, which restored a straight-line relationship at two different temperatures/settings. (D) No signal from substrate, medium, or host alone — the frameshift control sits at just 0.7% of induced CxnA.

With the assay validated, we quantified exoglucanase activity for the seven mutants flagged by the earlier screens, each compared against a wild-type control grown and lysed alongside it on the same day. Seven variants were carried forward to the quantitative assay, limited by the capacity of a single 96-well plate once controls, blanks and standards were accommodated. The selection deliberately spanned both extremes of the Congo red screen — variants with the largest halos and variants with no clearing at all — rather than sampling only the apparent improvers. Native colony 12, which also showed no clearing, was not carried forward for this reason; T14 and T15 represent that class.

Bar chart of exoglucanase activity for seven epPCR mutants and wild-type controls, relative to wild type, with a 3-sigma detection threshold band

Activity of all seven flagged mutants, relative to a same-day wild-type control (bars = median of 3 technical replicates; whiskers = range). The shaded band marks how much two colonies of the same, unmutated genotype normally differ from each other just from day-to-day prep variation — only a bar that clears this band by itself is a plausible real effect.

The headline number
9.5% colony-to-colony noise → need ≥1.40× to call it real
Before trusting any "improved" mutant, we first measured how much two independent colonies of the same genotype differ from each other purely from everyday variability in growth and lysis — measured from two independent colonies each of the wild type and of CO12, prepared and assayed alongside one another. The answer was 9.5%. Statistically, that means a single mutant colony needs to beat wild type by at least 1.40× before we can call the difference real rather than noise (a "3σ" threshold, in the jargon).
How each of the 7 flagged mutants actually scored
MutantActivity vs wild typeCall
CO121.39× and 1.31× (two independent colonies, mean 1.35×)Flagged here, not a candidate — sequencing (below) found it to be an unmutated parental isolate, so this reading reflects colony-to-colony noise rather than a real effect
CO20.72×At or below wild type
CO40.99×Indistinguishable from wild type
CO70.57×Below wild type
T40.16×Strongly attenuated
T14≈ 0× (indistinguishable from the dead-enzyme control)Functionally dead
T15≈ 0× (indistinguishable from the dead-enzyme control)Functionally dead

WT-CO vs WT-T themselves agreed to within 1.1% of each other, confirming codon optimisation alone doesn't change activity — differences above are attributable to the epPCR mutations (or to prep noise, for anything inside the shaded band). CO7 and T4 figures are from freshly prepared lysate; a separate stored-pellet preparation of both was excluded after its lysate was found to have settled before reading (A₂₈₀ 0.7 at the meniscus vs. 3–4 after mixing), which would have inflated the reading.

We also tried to run this as a MUG assay

The same lysates were also assayed with what was intended to be MUG, the β-glucosidase substrate this project was trying to evolve activity toward. Every sample lit up immediately, including the dead-enzyme frameshift control. A controlled follow-up — substrate and lysate dilution series, boiled lysate, cultures grown without IPTG, and cell-free medium in place of lysate — diagnosed the cause: the substrate in hand was MUGal, a β-galactosidase substrate, not MUG. TOP10 carries the lacZΔM15 deletion and the plasmid supplies the lacZα fragment that complements it, reconstituting host β-galactosidase, which hydrolyses MUGal regardless of what CxnA is doing. The assay was discontinued once this was confirmed. It does not affect the MUC results above: the frameshift control sits below 1% of induced signal there, so this background enzyme does not touch the cellobioside substrate. Full troubleshooting: 15 September notebook entry.

WL-R6

What mutations were actually there?

Confirmed Methods: WL-7

Eight samples were sent for Sanger sequencing (MRC PPU DNA Sequencing and Services): the seven variants carried through the quantitative screen, plus the unmutated codon-optimised construct as a parental reference. Plasmid DNA was isolated by miniprep (Qiagen) and quantified on a NanoDrop 2000 (Table 2).

All four codon-optimised variants — CO2, CO4, CO7 and CO12 — returned the parent sequence with no mutations detected. Sequencing failed for T14 and T15, so neither of the two dead variants can be characterised genetically. Of the seven variants, only T4 returned usable evidence of a mutation: a single point substitution in each domain, changing residue 14 from GGC to GAC (glycine → aspartic acid) in the exoglucanase domain, and residue 614 from aspartic acid to glycine in the endoglucanase domain. Changes flagged elsewhere in the chromatograms were consistent with signal decay rather than real substitutions.

Read-length limits left an unsequenced gap in the middle of every read. The gap spans the carbohydrate-binding module in all samples and extends into the Cex or CenA coding sequence in some, and its extent differs from sample to sample — so coverage is not uniform, and a mutation falling inside the gap would not have been detected.

What the parental-sequence result means
CO12 is not a candidate
That makes those four measurements more useful than failed candidates: they are a direct read-out of how much the assay and the preparation vary between colonies that are genetically identical. Their activities spanned 0.57× to 1.39× of wild type. CO12's 1.39× — the highest single value anywhere in the screen — is the top of that range, and its 1.35× average sits inside it. CO12 is therefore not a candidate for a further round; it is indistinguishable from an unmutated isolate.

It also shows the 1.40× threshold rests on too small a sample. That figure came from a 9.5% CV measured between two colonies each of two genotypes. These four independently picked isolates, grown and assayed in the same preparation, span 0.57× to 1.39× — roughly four times wider — and the lowest of them falls outside the ±3σ interval the 9.5% figure implies. Both estimates rest on a handful of observations, but the wider one is measured across the comparison the screen actually makes: different picked colonies, not replicate colonies of one clone. On that basis a real improvement would need to be considerably larger than 1.4× before a single-colony measurement could resolve it.

Coverage is incomplete, so "no mutations detected" is not the same as "no mutations" — see above for where the unsequenced gap falls. Taken as a bound rather than a proof: over the regions that were read these four isolates are identical to the parent, and the simplest reading of a 0.57–1.39× spread among them is preparation and colony variation rather than four separate mutations that all happened to land in the unread gap.
WL-R7

So — did it work?

The honest answer

No mutant demonstrated a confirmed improvement in activity. CO12, the only variant to read above wild type, returned the parent sequence — placing its 1.35× average inside the range spanned by genetically identical isolates, so it is not a candidate for a further round. The screen's useful output is a quantified noise floor rather than a hit: variation between preparations is wide enough that a real improvement would have to be considerably larger than 1.4× before a single-colony measurement could resolve it. Two variants, T14 and T15, lost function entirely; sequencing failed for both, so the explanation rests on phenotype — simultaneous loss of two activities whose active sites lie several hundred residues apart is more easily explained by loss of the full-length protein than by two independent active-site mutations.

What did work: we built a complete, repeatable pipeline — random mutagenesis, two fast qualitative screens, a validated quantitative fluorescence assay, and sequencing to close the loop — that took a library from 30 random colonies to a quantified detection limit and one genetically characterised loss-of-function variant, in a single round. The library was small and the GC-rich gene was a genuine technical obstacle throughout; a larger library run through the same pipeline is the obvious next step, not a different approach.

Two observations point the same way about the codon-optimised library. All four of its variants that were sequenced returned the parent sequence, and all 15 of its colonies retained a Congo red halo — against 7 of 15 for the native-sequence library. The simplest reading is that error-prone PCR introduced few or no mutations into the codon-optimised construct, consistent with the gBlock-and-Gibson route reconstituting parental sequence, and that the native library is where this project's real variants are: T4, with a substitution in each domain, and T14 and T15, both of which lost function entirely. Only four of the 15 codon-optimised colonies were sequenced, so this is the most parsimonious explanation rather than an established one.

Why we're reporting a null result at all

A "nothing improved, but here's exactly why and how confident we are" result is a real scientific outcome, not a failure to hide. Every negative or inconclusive finding on this page — the T14/T15 loss-of-function variants, CO12 turning out to be a parental isolate rather than a hit, the small library sizes — is reported as measured, not rounded up or omitted.

Bibliography

Full reference list

All sources cited across the project website, matching the final project report.

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